NIMH Data Archive - Data

Genomics

Neuroimaging

Phenotype¹

New Trial
Clinical Trial

¹ Numbers reported are subjects by age

New Project
Grant/Project Number

Format should be in the following format: Activity Code, Institute Abbreviation, and Serial Number. Grant Type, Support Year, and Suffix should be excluded. For example, grant 1R01MH123456-01A1 should be entered R01MH123456

Collection - Use Existing Experiment

To associate an experiment to the current collection, just select an axperiment from the table below then click the associate experiment button to persist your changes (saving the collection is not required). Note that once an experiment has been associated to two or more collections, the experiment will not longer be editable.

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.

Select	Experiment Id	Experiment Name	Experiment Type	Created On

24	HI-NGS_R1	Omics	02/16/2011
475	MB1-10 (CHOP)	Omics	06/07/2016
490	Illumina Infinium PsychArray BeadChip Assay	Omics	07/07/2016
501	PharmacoBOLD Resting State	fMRI	07/27/2016
506	PVPREF	Omics	08/05/2016
509	ABC-CT Resting v2	EEG	08/18/2016
13	Comparison of FI expression in Autistic and Neurotypical Homo Sapiens	Omics	12/28/2010
18	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	01/06/2011
22	Stitching PCR Sequencing	Omics	02/14/2011
26	ASD_Methylation	Omics	03/01/2011
29	Microarray family 03 (father, mother, sibling)	Omics	03/24/2011
37	Standard paired-end sequencing of BCRs	Omics	04/19/2011
38	Illumina Mate-Pair BCR sequencing	Omics	04/19/2011
39	Custom Jumping Libraries	Omics	04/19/2011
40	Custom CapBP	Omics	04/19/2011
41	Immunofluorescence	Omics	05/11/2011
43	Autism brain sample genotyping, Illumina	Omics	05/16/2011
47	ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 System	Omics	08/01/2011
53	AGRE Omni1-quad	Omics	10/11/2011
59	AGP genotyping	Omics	04/03/2012
60	Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controls	Omics	06/23/2012
63	Microemulsion PCR and Targeted Resequencing for Variant Detection in ASD	Omics	07/20/2012
76	Whole Genome Sequencing in Autism Families	Omics	01/03/2013
519	Resting	fMRI	11/08/2016
90	Genotyped IAN Samples	Omics	07/09/2013
91	NJLAGS Axiom Genotyping Array	Omics	07/16/2013
93	AGP genotyping (CNV)	Omics	09/06/2013
106	Longitudinal Sleep Study. H20 200. Channel set 2	EEG	11/07/2013
107	Longitudinal Sleep Study. H20 200. Channel set 3	EEG	11/07/2013
108	Longitudinal Sleep Study. AURA 200	EEG	11/07/2013
105	Longitudinal Sleep Study. H20 200. Channel set 1	EEG	11/07/2013
109	Longitudinal Sleep Study. AURA 400	EEG	11/07/2013
116	Gene Expression Analysis WG-6	Omics	01/07/2014
145	AGRE/FMR1_Illumina.JHU	Omics	04/14/2014
146	AGRE/MECP2_Sanger.JHU	Omics	04/14/2014
147	AGRE/MECP2_Junior.JHU	Omics	04/14/2014
151	Candidate Gene Identification in familial Autism	Omics	06/09/2014
152	NJLAGS Whole Genome Sequencing	Omics	07/01/2014
154	Math Autism Study - Vinod Menon	fMRI	07/15/2014
155	Resting	fMRI	07/25/2014
156	Speech	fMRI	07/25/2014
159	Emotion	fMRI	07/25/2014
160	syllable contrast	EEG	07/29/2014
167	School-age naturalistic stimuli	Eye Tracking	09/19/2014
44	AGRE/Broad Affymetrix 5.0 Genotype Experiment	Omics	06/27/2011
45	Exome Sequencing of 20 Sporadic Cases of Autism Spectrum Disorder	Omics	07/15/2011
78	MET Genotypes	Omics	03/18/2013
61	Ultradeep Illumina sequencing of A-to-I edited sites in synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controls	Omics	06/23/2012
65	SNP genotypes Illumina 370k	Omics	07/30/2012
66	SSC samples exome sequencing	Omics	08/03/2012

Collection - Add Experiment

Add Supporting Documentation

Funding Source:
URL:

To add an existing Data Structure, enter its title in the search bar. If you need to request changes, select the indicator "No, it requires changes to meet research needs" after selecting the Structure, and upload the file with the request changes specific to the selected Data Structure. Your file should follow the Request Changes Procedure. If the Data Structure does not exist, select "Request New Data Structure" and upload the appropriate zip file.

Use/Modify Existing Data Structure

Request New Data Structure

Targeted Enrollment:

Initial Submission Date:

Initial Share Date:

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Data Structures:

Submit

Request Submission Exemption

Not Eligible

The Data Expected list for this Collection shows some raw data as missing. Contact the NDA Help Desk with any questions.

Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.

Collection Updated

Your Collection is now in Data Analysis phase and exempt from biannual submissions. Analyzed data is still expected prior to publication or no later than the project end date.

[CMS] Error

[CMS]

Unable to change collection phase where targeted enrollment is less than 90%

You have requested to move the sharing dates for the following assessments:

Data Expected Item	Original Sharing Date	New Sharing Date

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Biomarkers of Developmental Trajectories and Treatment in ASD #2026

General
Experiments (12)
Shared Data
Publications (148)
Data Expected (41)
Associated Studies (25)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Biomarkers of Developmental Trajectories and Treatment in ASD
Collection Investigators:	Susan Bookheimer
Collection Description:	This is a renewal for the UCLA Autism Center of Excellence. The primary focus of the UCLA ACE renewal is to understand the relationship between aberrant brain development and core deficits in autism by identifying mechanisms relating genes to brain structure/function and brain to behavior, and to develop effective interventions based on basic experimental and clinical research findings that will change outcomes in autism. In five interdependent projects and cores, our center builds on our expertise in autism genetics, multimodal brain imaging, early detection and analysis of core autism features, and experience in implementing randomized control trials of novel interventions that target these core symptoms. In this renewal application, projects focus on defining longitudinal trajectories of brain and behavioral development in infants with multiple risks for autism (Proj I); infants and toddlers with early signs of autism (Proj II), nonverbal school aged children with autism (Proj III), and higher functioning children/ adolescents (Proj IV),using a shared set of imaging, neurophysiological and neurobehavioral biomarkers, as well as genetic risk and expression analysis (Proj V) in longitudinal studies. This center is focused on understanding both early and later trajectories of emerging and developing functional connectivity and behavioral change in relation to variation in autism phenotypes, defining how genetic risks mediate both imaging and behavioral phenotypes, and altering trajectories through two separate treatments focused on core deficits in ASD, one targeted developing joint attention and social orientation in infants, and one focused on improving language nonverbal children with augmentative pharmacological intervention. Four cores support the scientific goals: an Administrative Core, facilitating scientific progress and providing data management/statistics support; a Diagnositc and Phenotyping Core; a Neuroimaging/Neurophysiology core, and a Research Education and Outreach core. The UCLA ACE benefits from our years of working together as a team. We present a highly integrated center with multiple collaborations across levels of analysis to further a strongly translational research strategy aimed at changing outcomes in children with autism spectrum disorders.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	01/02/2013
NIH Research Initiatives:	Autism Centers of Excellence (ACE), NIMH Repository & Genomics Resource (NRGR)
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$12,075,743.00
Subjects Shared:	629

{"values":[]}

{"values":[["fMRI",107],["DTI",109],["Eye Tracking",171],["MRI",128]]}

{"values":[["Typical Control",211],["Autism Spectrum Severely Affected",62],["Autism Spectrum Affected",228],["Autism Spectrum Mildly Affected",6],["Not Defined",146],["Sibling Control",2]]}

Loading Chart...

Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Project Title	Start Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
P50HD055784-06	Biomarkers of Developmental Trajectories and Treatment in ASD	09/04/2012	07/31/2022	748	Not Reported	UNIVERSITY OF CALIFORNIA LOS ANGELES	$12,075,743.00

Clinical Trials:

helpcenter.collection.general-tab

Collection - General Tab

Fields available for edit on the top portion of the page include:

Collection Title
Investigators
Collection Description
Collection Phase
Funding Source
Clinical Trials

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.

Pre-Enrollment: The default entry made when the NDA Collection is created.
Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection. The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
- The Data Expected Subphase indicates that NDA expects more data will be submitted
- The Closeout Subphase indicates the data submission is complete.
- The Sharing Not Met Subphase indicates that data submission was not completed as expected.

Blinded Clinical Trial Status:

This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial. When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/nda/sharing-regimen.html), the embargo on Data Expected information is released.

Funding Source

The organization(s) responsible for providing the funding is listed here.

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only.

Grant Information

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH.

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials.

Frequently Asked Questions

How does the NIMH Data Archive (NDA) determine which Permission Group data are submitted into?

During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.
How do I know when a NDA Collection has been created?

When a Collection is created by NDA staff, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
Is a single grant number ever associated with more than one Collection?

The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
Why is there sometimes more than one grant included in a Collection?

In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

Administrator Privilege

A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
Collection Owner

Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
Collection Phase
The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
- Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
- Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
- Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
- Funding Completed: A grant/project has reached the project end date.
Collection Title

An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
Grant

Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
Supporting Documentation

Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
NIH Research Initiative

NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
Permission Group

Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
Planned Enrollment

Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
Actual Enrollment

Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
NDA Collection

A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
Data Use Limitations

Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
Total Subjects Shared

The total number of unique subjects for whom data have been shared and are available for users with permission to access data.

Contact NDA Help Desk

ID	Name	Created Date	Status	Type
130	Jeste Lab UCLA ACEii EEG	02/24/2014	Approved	EEG
131	Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1	02/27/2014	Approved	Eye Tracking
132	Jeste Lab UCLA ACEii: Animacy - Project 1	02/27/2014	Approved	Eye Tracking
133	Jeste Lab UCLA ACEii: Mom Stranger - Project 2	02/27/2014	Approved	Eye Tracking
134	Jeste Lab UCLA ACEii: Face Emotion - Project 3	02/27/2014	Approved	Eye Tracking
238	P1_resting8min	01/15/2015	Approved	fMRI
239	P1-nativelang	01/15/2015	Approved	fMRI
240	P4_rewards	01/15/2015	Approved	fMRI
241	P4_resting6min	01/15/2015	Approved	fMRI
242	P4_faces	01/15/2015	Approved	fMRI
243	P1_language	01/15/2015	Approved	fMRI
320	Geschwind 2015-9017 Omni2.5-8	06/10/2015	Approved	Omics

helpcenter.collection.experiments-tab

Collection - Experiments

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

Can an Experiment be associated with more than one Collection?
Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:
1. Copy the experiment with intent for modifications.
2. Associate the experiment to the collection. No modifications can be made to the experiment.

Glossary

Experiment Status

An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
Experiment ID

The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.

Contact NDA Help Desk

Shared Data:

Title	Type	Number of Subjects
ACE Family Medical History	Clinical Assessments	208
ACE Subject Medical History	Clinical Assessments	214
ACE Subject Physical Exam	Clinical Assessments	74
Aberrant Behavior Checklist (ABC) - Community	Clinical Assessments	40
Abnormal Involuntary Movement Scale	Clinical Assessments	41
Autism Diagnostic Interview, Revised (ADI-R)	Clinical Assessments	89
Autism Diagnostic Observation Schedule (ADOS)- Module 3	Clinical Assessments	22
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 1	Clinical Assessments	76
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 2	Clinical Assessments	74
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 3	Clinical Assessments	10
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Toddler Module	Clinical Assessments	162
Autism Observation Scale for Infants	Clinical Assessments	86
BRIEF-Parent	Clinical Assessments	77
Child Behavior Checklist (CBCL) 6-18	Clinical Assessments	76
Child Symptom Inventory Parent/Teacher Checklist	Clinical Assessments	77
Children's Yale-Brown Obsessive Compulsive Scale	Clinical Assessments	21
Clinical Global Impression (CGI)	Clinical Assessments	41
Clinical Lab Tests	Clinical Assessments	30
Concomitant Medications	Clinical Assessments	20
Demographics form UCLA	Clinical Assessments	33
EEG Subject Files	Imaging	195
Early Social Communication Scale (ESCS)	Clinical Assessments	145
Eye Tracking Subject-Experiment	Imaging	200
Genomics Genetic Test	Genomics	104
Genomics Sample	Genomics	169
Genomics Subject	Genomics	169
Image	Imaging	166
Infant Medical History Questionnaire	Clinical Assessments	87
Interpersonal Competence Scale	Clinical Assessments	78
Interpersonal Reactivity Index (IRI)	Clinical Assessments	74
Leiter International Performance Scale-Revised (Leiter-R), Visualization and Reasoning Battery	Clinical Assessments	41
M-CHAT	Clinical Assessments	59
MacArthur-Bates CDI - Words and Gestures Form	Clinical Assessments	88
MacArthur-Bates CDI - Words and Sentences Form	Clinical Assessments	74
Mullen Scales of Early Learning	Clinical Assessments	177
Parent Concerns Questionaire	Clinical Assessments	94
Peabody Picture Vocabulary Test, Fourth Edition-Form A	Clinical Assessments	72
Preschool Language Scales Fifth edition (PLS-5)	Clinical Assessments	41
Repetitive Behavior Scale - Revised (RBS-R)	Clinical Assessments	120
Research Subject	Clinical Assessments	608
SRS-2. Adult, Preschool and School Age	Clinical Assessments	340
Sensory Profile Short	Clinical Assessments	76
Side Effects	Clinical Assessments	41
Simpson-Angus Extrapyramidal Side Effects Scale	Clinical Assessments	41
Social Communication Questionnaire (SCQ) - Current Form	Clinical Assessments	117
Social Communication Questionnaire (SCQ) - Lifetime	Clinical Assessments	45
Social Responsiveness Scale (SRS)	Clinical Assessments	78
Vineland-II - Parent and Caregiver Rating Form (2005)	Clinical Assessments	86
Vineland-II - Survey Form (2005)	Clinical Assessments	73
Vital Signs	Clinical Assessments	41
WASI-2	Clinical Assessments	27
Wechsler Abbreviated Scale of Intelligence (WASI)	Clinical Assessments	31
Wechsler Intelligence Scale for Children - IV [part 1]	Clinical Assessments	16
Wechsler Intelligence Scale for Children - IV [part 2]	Clinical Assessments	16

helpcenter.collection.shared-data-tab

Collection - Shared Data

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

Frequently Asked Questions

How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?

To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
Can I get a supplement to share data from a completed research project?

Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
Can I get a supplement to share data from a research project that is still ongoing?

Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.

Glossary

Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Type

A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
Shared

The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Publications

Publications relevant to NDA data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed ID	Study	Title	Journal	Authors	Date	Status
39011552	Create Study	Familial Recurrence of Autism: Updates From the Baby Siblings Research Consortium.	Pediatrics	Ozonoff, Sally; Young, Gregory S; Bradshaw, Jessica; Charman, Tony; Chawarska, Katarzyna; Iverson, Jana M; Klaiman, Cheryl; Landa, Rebecca J; McDonald, Nicole; Messinger, Daniel; Schmidt, Rebecca J; Wilkinson, Carol L; Zwaigenbaum, Lonnie	August 1, 2024	Not Determined
38703054	Create Study	Patterns of spontaneous neural activity associated with social communication abilities among infants and toddlers showing signs of autism.	The European journal of neuroscience	Cohenour, Torrey; Dickinson, Abigail; Jeste, Shafali; Gulsrud, Amanda; Kasari, Connie	July 1, 2024	Not Determined
38649483	Create Study	Salience network connectivity is altered in 6-week-old infants at heightened likelihood for developing autism.	Communications biology	Tsang, Tawny; Green, Shulamite A; Liu, Janelle; Lawrence, Katherine; Jeste, Shafali; Bookheimer, Susan Y; Dapretto, Mirella	April 22, 2024	Not Determined
38009228	Create Study	Slower pace in early walking onset is related to communication, motor skills, and adaptive function in autistic toddlers.	Autism research : official journal of the International Society for Autism Research	Wilson, Rujuta B; Burdekin, Emma D; Jackson, Nicholas J; Hughart, Lauren; Anderson, Jeff; Dusing, Stacey C; Gulsrud, Amanda; Kasari, Connie	January 1, 2024	Not Determined
37840458	Create Study	Shared and distinct biological mechanisms for anxiety and sensory over-responsivity in youth with autism versus anxiety disorders.	Journal of neuroscience research	Cummings, Kaitlin K; Jung, Jiwon; Zbozinek, Tomislav D; Wilhelm, Frank H; Dapretto, Mirella; Craske, Michelle G; Bookheimer, Susan Y; Green, Shulamite A	January 1, 2024	Not Determined
37817282	Create Study	Age-related changes in neural responses to sensory stimulation in autism: a cross-sectional study.	Molecular autism	Cakar, Melis E; Cummings, Kaitlin K; Bookheimer, Susan Y; Dapretto, Mirella; Green, Shulamite A	October 11, 2023	Not Determined
37506195	Create Study	The contributions of rare inherited and polygenic risk to ASD in multiplex families.	Proceedings of the National Academy of Sciences of the United States of America	Cirnigliaro, Matilde; Chang, Timothy S; Arteaga, Stephanie A; Pérez-Cano, Laura; Ruzzo, Elizabeth K; Gordon, Aaron; Bicks, Lucy K; Jung, Jae-Yoon; Lowe, Jennifer K; Wall, Dennis P; Geschwind, Daniel H	August 1, 2023	Not Determined
37451263	Create Study	Improvement of sensory deficits in fragile X mice by increasing cortical interneuron activity after the critical period.	Neuron	Kourdougli, Nazim; Suresh, Anand; Liu, Benjamin; Juarez, Pablo; Lin, Ashley; Chung, David T; Graven Sams, Anette; Gandal, Michael J; Martínez-Cerdeño, Verónica; Buonomano, Dean V; Hall, Benjamin J; Mombereau, Cédric; Portera-Cailliau, Carlos	September 20, 2023	Not Determined
37408377	Create Study	Heterogeneity of autism symptoms in community-referred infants and toddlers at elevated or low familial likelihood of autism.	Autism research : official journal of the International Society for Autism Research	Cohenour, Torrey L; Gulsrud, Amanda; Kasari, Connie	September 1, 2023	Not Determined
37005061	Create Study	Associations between thalamocortical functional connectivity and sensory over-responsivity in infants at high likelihood for ASD.	Cerebral cortex (New York, N.Y. : 1991)	Wagner, Lauren; Banchik, Megan; Okada, Nana J; McDonald, Nicole; Jeste, Shafali S; Bookheimer, Susan Y; Green, Shulamite A; Dapretto, Mirella	June 8, 2023	Not Determined
36829214	Create Study	Sex differences in friendships and loneliness in autistic and non-autistic children across development.	Molecular autism	Libster, Natalie; Knox, Azia; Engin, Selin; Geschwind, Daniel; Parish-Morris, Julia; Kasari, Connie	February 24, 2023	Not Determined
36566252	Create Study	Personal victimization experiences of autistic and non-autistic children.	Molecular autism	Libster, Natalie; Knox, Azia; Engin, Selin; Geschwind, Daniel; Parish-Morris, Julia; Kasari, Connie	December 24, 2022	Not Determined
36183905	Create Study	Challenges and opportunities for precision medicine in neurodevelopmental disorders.	Advanced drug delivery reviews	Chen, George T; Geschwind, Daniel H	December 1, 2022	Not Determined
35678946	Create Study	Predictors of Attrition in a Randomized Trial of a Social Communication Intervention for Infant-Toddlers at Risk for Autism.	Journal of autism and developmental disorders	Sterrett, Kyle; Magaña, Maira Tafolla; Gulsrud, Amanda; Paparella, Tanya; Kasari, Connie	August 1, 2023	Not Determined
35437928	Create Study	Super responders: Predicting language gains from JASPER among limited language children with autism spectrum disorder.	Autism research : official journal of the International Society for Autism Research	Panganiban, Jonathan; Kasari, Connie	August 1, 2022	Not Determined
35176551	Create Study	Electrophysiological signatures of brain aging in autism spectrum disorder.	Cortex; a journal devoted to the study of the nervous system and behavior	Dickinson, Abigail; Jeste, Shafali; Milne, Elizabeth	March 1, 2022	Not Determined
34882790	Create Study	Atypical cerebellar functional connectivity at 9 months of age predicts delayed socio-communicative profiles in infants at high and low risk for autism.	Journal of child psychology and psychiatry, and allied disciplines	Okada, Nana J; Liu, Janelle; Tsang, Tawny; Nosco, Erin; McDonald, Nicole M; Cummings, Kaitlin K; Jung, Jiwon; Patterson, Genevieve; Bookheimer, Susan Y; Green, Shulamite A; Jeste, Shafali S; Dapretto, Mirella	September 1, 2022	Not Determined
34807457	Create Study	Studying the early emergence of autism: what is the goal of baby siblings research?	Developmental medicine and child neurology	McDonald, Nicole M	May 1, 2022	Not Determined
34797038	Create Study	Parenting stress in caregiver-mediated interventions for toddlers with autism: An application of quantile regression mixed models.	Autism research : official journal of the International Society for Autism Research	Schlink, Andrew; Williams, Justin; Pizzano, Maria; Gulsrud, Amanda; Kasari, Connie	February 1, 2022	Not Determined
34158222	Create Study	Drug development for Autism Spectrum Disorder (ASD): Progress, challenges, and future directions.	European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology	McCracken, James T; Anagnostou, Evdokia; Arango, Celso; Dawson, Geraldine; Farchione, Tiffany; Mantua, Valentina; McPartland, James; Murphy, Declan; Pandina, Gahan; Veenstra-VanderWeele, Jeremy; ISCTM/ECNP ASD Working Group	July 1, 2021	Not Determined
34109620	Create Study	Early concerns in parents of infants at risk for autism.	Developmental medicine and child neurology	Tran, Amanda T; Del Rosario, Mithi; Nosco, Erin; Li, Yihao; Senturk, Damla; Mcdonald, Nicole M; Wilson, Rujuta B; Dapretto, Mirella; Jeste, Shafali S	December 1, 2021	Not Determined
34098753	Create Study	What are the odds? Predicting the likelihood of a negative episode in a sample of toddlers with autism spectrum disorder.	Autism : the international journal of research and practice	Dimachkie Nunnally, Amanda; Sterrett, Kyle; Gulsrud, Amanda; Kasari, Connie	November 1, 2021	Not Determined
34050248	Create Study	Transcriptome analysis of MBD5-associated neurodevelopmental disorder (MAND) neural progenitor cells reveals dysregulation of autism-associated genes.	Scientific reports	Mullegama, Sureni V; Klein, Steven D; Williams, Stephen R; Innis, Jeffrey W; Probst, Frank J; Haldeman-Englert, Chad; Martinez-Agosto, Julian A; Yang, Ying; Tian, Yuchen; Elsea, Sarah H; Ezashi, Toshihiko	May 28, 2021	Not Determined
33866373	Create Study	Altered Thalamocortical Connectivity in 6-Week-Old Infants at High Familial Risk for Autism Spectrum Disorder.	Cerebral cortex (New York, N.Y. : 1991)	Nair, Aarti; Jalal, Rhideeta; Liu, Janelle; Tsang, Tawny; McDonald, Nicole M; Jackson, Lisa; Ponting, Carolyn; Jeste, Shafali S; Bookheimer, Susan Y; Dapretto, Mirella	July 29, 2021	Not Determined
33860866	Create Study	Beyond Baby Siblings-Expanding the Definition of "High-Risk Infants" in Autism Research.	Current psychiatry reports	McDonald, Nicole M; Jeste, Shafali S	April 16, 2021	Not Determined
33587311	Create Study	Associations between physiological and neural measures of sensory reactivity in youth with autism.	Journal of child psychology and psychiatry, and allied disciplines	Jung, Jiwon; Zbozinek, Tomislav D; Cummings, Kaitlin K; Wilhelm, Frank H; Dapretto, Mirella; Craske, Michelle G; Bookheimer, Susan Y; Green, Shulamite A	October 1, 2021	Not Determined
33436538	Create Study	Sensory over-responsivity is related to GABAergic inhibition in thalamocortical circuits.	Translational psychiatry	Wood, Emily T; Cummings, Kaitlin K; Jung, Jiwon; Patterson, Genevieve; Okada, Nana; Guo, Jia; O'Neill, Joseph; Dapretto, Mirella; Bookheimer, Susan Y; Green, Shulamite A	January 12, 2021	Not Determined
33389145	Create Study	5q35 duplication presents with psychiatric and undergrowth phenotypes mediated by NSD1 overexpression and mTOR signaling downregulation.	Human genetics	Quintero-Rivera, Fabiola; Eno, Celeste C; Sutanto, Christine; Jones, Kelly L; Nowaczyk, Małgorzata J M; Wong, Derek; Earl, Dawn; Mirzaa, Ghayda; Beck, Anita; Martinez-Agosto, Julian A	April 1, 2021	Not Determined
33368921	Create Study	Lack of neural evidence for implicit language learning in 9-month-old infants at high risk for autism.	Developmental science	Liu, Janelle; Tsang, Tawny; Ponting, Carolyn; Jackson, Lisa; Jeste, Shafali S; Bookheimer, Susan Y; Dapretto, Mirella	July 1, 2021	Not Determined
33043498	Create Study	Functional connectivity during language processing in 3-month-old infants at familial risk for autism spectrum disorder.	The European journal of neuroscience	Tran, Xuan A; McDonald, Nicole; Dickinson, Abigail; Scheffler, Aaron; Frohlich, Joel; Marin, Andrew; Kure Liu, Christopher; Nosco, Erin; Şentürk, Damla; Dapretto, Mirella; Spurling Jeste, Shafali	March 1, 2021	Not Determined
32860348	Create Study	Sex Differences in Salience Network Connectivity and its Relationship to Sensory Over-Responsivity in Youth with Autism Spectrum Disorder.	Autism research : official journal of the International Society for Autism Research	Cummings, Kaitlin K; Lawrence, Katherine E; Hernandez, Leanna M; Wood, Emily T; Bookheimer, Susan Y; Dapretto, Mirella; Green, Shulamite A	September 2020	Not Determined
32798139	Create Study	Multivariate Neural Connectivity Patterns in Early Infancy Predict Later Autism Symptoms.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Dickinson, Abigail; Daniel, Manjari; Marin, Andrew; Gaonkar, Bilwaj; Dapretto, Mirella; McDonald, Nicole M; Jeste, Shafali	January 1, 2021	Not Determined
32658762	Create Study	Emerging atypicalities in functional connectivity of language-related networks in young infants at high familial risk for ASD.	Developmental cognitive neuroscience	Liu, Janelle; Okada, Nana J; Cummings, Kaitlin K; Jung, Jiwon; Patterson, Genevieve; Bookheimer, Susan Y; Jeste, Shafali S; Dapretto, Mirella	October 1, 2020	Not Determined
32634676	Create Study	Functional genomics links genetic origins to pathophysiology in neurodegenerative and neuropsychiatric disease.	Current opinion in genetics & development	Wamsley, Brie; Geschwind, Daniel H	December 1, 2020	Not Determined
32215919	Create Study	Electrophysiological signatures of visual statistical learning in 3-month-old infants at familial and low risk for autism spectrum disorder.	Developmental psychobiology	Marin, Andrew; Hutman, Ted; Ponting, Carolyn; McDonald, Nicole M; Carver, Leslie; Baker, Elizabeth; Daniel, Manjari; Dickinson, Abigail; Dapretto, Mirella; Johnson, Scott P; Jeste, Shafali S	September 1, 2020	Not Determined
31696785	Create Study	Positive social feedback alters emotional ratings and reward valuation of neutral faces.	Quarterly journal of experimental psychology (2006)	Young, Katherine S; Hasratian, Anni M; Parsons, Christine E; Zinbarg, Richard E; Nusslock, Robin; Bookheimer, Susan Y; Craske, Michelle G	July 2020	Not Determined
31654560	Create Study	Behavioral characterization of dup15q syndrome: Toward meaningful endpoints for clinical trials.	American journal of medical genetics. Part A	DiStefano, Charlotte; Wilson, Rujuta B; Hyde, Carly; Cook, Edwin H; Thibert, Ronald L; Reiter, Lawrence T; Vogel-Farley, Vanessa; Hipp, Joerg; Jeste, Shafali	January 2020	Not Determined
31639285	Create Study	Mutations in the sonic hedgehog pathway cause macrocephaly-associated conditions due to crosstalk to the PI3K/AKT/mTOR pathway.	American journal of medical genetics. Part A	Klein, Steven D; Nguyen, Dzung C; Bhakta, Viraj; Wong, Derek; Chang, Vivian Y; Davidson, Tom B; Martinez-Agosto, Julian A	December 2019	Not Determined
31589284	Create Study	Developmental Trajectories of Infants With Multiplex Family Risk for Autism: A Baby Siblings Research Consortium Study.	JAMA neurology	McDonald, Nicole M; Senturk, Damla; Scheffler, Aaron; Brian, Jessica A; Carver, Leslie J; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Hertz-Piccioto, Irva; Jones, Emily J H; Klin, Ami; Landa, Rebecca; Messinger, Daniel S; Ozonoff, Sally; Stone, Wendy L; Tager-Flusberg, Helen; Webb, Sara Jane; Young, Gregory; Zwaigenbaum, Lonnie; Jeste, Shafali S	January 2020	Not Determined
31585457	Create Study	Defining and distinguishing infant behavioral states using acoustic cry analysis: is colic painful?	Pediatric research	Parga, Joanna J; Lewin, Sharon; Lewis, Juanita; Montoya-Williams, Diana; Alwan, Abeer; Shaul, Brianna; Han, Carol; Bookheimer, Susan Y; Eyer, Sherry; Dapretto, Mirella; Zeltzer, Lonnie; Dunlap, Lauren; Nookala, Usha; Sun, Daniel; Dang, Bianca H; Anderson, Ariana E	February 2020	Not Determined
31500805	Create Study	Synaptic and Gene Regulatory Mechanisms in Schizophrenia, Autism, and 22q11.2 Copy Number Variant-Mediated Risk for Neuropsychiatric Disorders.	Biological psychiatry	Forsyth, Jennifer K; Nachun, Daniel; Gandal, Michael J; Geschwind, Daniel H; Anderson, Ariana E; Coppola, Giovanni; Bearden, Carrie E	January 2020	Not Determined
31462477	Create Study	Multicentre, randomised waitlist control trial investigating a parent-assisted social skills group programme for adolescents with brain injuries: protocol for the friends project.	BMJ open	Gilmore, Rose; Sakzewski, Leanne; Ziviani, Jenny; Mcintyre, Sarah; Smithers Sheedy, Hayley; Hilton, Nicola; Williams, Tracey; Quinn, Kirsten; Sarandrea, Anne Marie; Laugeson, Elizabeth; Chatfield, Mark	August 2019	Not Determined
31419043	Create Study	Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex.	Autism research : official journal of the International Society for Autism Research	Dickinson, Abigail; Varcin, Kandice J; Sahin, Mustafa; Nelson 3rd, Charles A; Jeste, Shafali S	December 2019	Not Determined
31312421	Create Study	Mechanisms underlying the EEG biomarker in Dup15q syndrome.	Molecular autism	Frohlich, Joel; Reiter, Lawrence T; Saravanapandian, Vidya; DiStefano, Charlotte; Huberty, Scott; Hyde, Carly; Chamberlain, Stormy; Bearden, Carrie E; Golshani, Peyman; Irimia, Andrei; Olsen, Richard W; Hipp, Joerg F; Jeste, Shafali S	January 2019	Not Determined
31241851	Create Study	Developmental screening and early intervention in a childcare setting for young children at risk for autism and other developmental delays: A feasibility trial.	Autism research : official journal of the International Society for Autism Research	Gulsrud, Amanda; Carr, Themba; Williams, Justin; Panganiban, Jonathan; Jones, Felica; Kimbrough, Jackie; Shih, Wendy; Kasari, Connie	September 1, 2019	Not Determined
31232238	Create Study	Hotspot Mutations in DICER1 Causing GLOW Syndrome-Associated Macrocephaly via Modulation of Specific microRNA Populations Result in the Activation of PI3K/ATK/mTOR Signaling.	MicroRNA (Shariqah, United Arab Emirates)	Klein, Steven D; Martinez-Agosto, Julian A	January 1, 2020	Not Determined
31230465	Create Study	Distinct Patterns of Neural Habituation and Generalization in Children and Adolescents With Autism With Low and High Sensory Overresponsivity.	The American journal of psychiatry	Green, Shulamite A; Hernandez, Leanna; Lawrence, Katherine E; Liu, Janelle; Tsang, Tawny; Yeargin, Jillian; Cummings, Kaitlin; Laugeson, Elizabeth; Dapretto, Mirella; Bookheimer, Susan Y	December 2019	Not Determined
31223334	Create Study	EEG Data Collection in Children with ASD: The Role of State in Data Quality and Spectral Power.	Research in autism spectrum disorders	DiStefano, Charlotte; Dickinson, Abigail; Baker, Elizabeth; Jeste, Shafali Spurling	January 2019	Not Determined
31163191	Create Study	Methodological considerations in the use of Noldus EthoVision XT video tracking of children with autism in multi-site studies.	Biological psychology	Sabatos-DeVito, Maura; Murias, Michael; Dawson, Geraldine; Howell, Toni; Yuan, Andrew; Marsan, Samuel; Bernier, Raphael A; Brandt, Cynthia A; Chawarska, Katarzyna; Dzuira, James D; Faja, Susan; Jeste, Shafali S; Naples, Adam; Nelson, Charles A; Shic, Frederick; Sugar, Catherine A; Webb, Sara J; McPartland, James C; Autism Biomarkers Consortium for Clinical Trials	September 2019	Not Determined
31150625	Create Study	Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice.	Cell	Sharon, Gil; Cruz, Nikki Jamie; Kang, Dae-Wook; Gandal, Michael J; Wang, Bo; Kim, Young-Mo; Zink, Erika M; Casey, Cameron P; Taylor, Bryn C; Lane, Christianne J; Bramer, Lisa M; Isern, Nancy G; Hoyt, David W; Noecker, Cecilia; Sweredoski, Michael J; Moradian, Annie; Borenstein, Elhanan; Jansson, Janet K; Knight, Rob; Metz, Thomas O; Lois, Carlos; Geschwind, Daniel H; Krajmalnik-Brown, Rosa; Mazmanian, Sarkis K	May 2019	Not Determined
31141683	Create Study	Reduced Prefrontal Synaptic Connectivity and Disturbed Oscillatory Population Dynamics in the CNTNAP2 Model of Autism.	Cell reports	Lazaro, Maria T; Taxidis, Jiannis; Shuman, Tristan; Bachmutsky, Iris; Ikrar, Taruna; Santos, Rommel; Marcello, G Mark; Mylavarapu, Apoorva; Chandra, Swasty; Foreman, Allison; Goli, Rachna; Tran, Duy; Sharma, Nikhil; Azhdam, Michelle; Dong, Hongmei; Choe, Katrina Y; Peñagarikano, Olga; Masmanidis, Sotiris C; Rácz, Bence; Xu, Xiangmin; Geschwind, Daniel H; Golshani, Peyman	May 2019	Not Determined
30974225	Create Study	ERP evidence of semantic processing in children with ASD.	Developmental cognitive neuroscience	Distefano C, Senturk D, Jeste SS	April 2019	Not Determined
30901538	Create Study	Defining the Genetic, Genomic, Cellular, and Diagnostic Architectures of Psychiatric Disorders.	Cell	Sullivan, Patrick F; Geschwind, Daniel H	March 2019	Not Determined
30632286	Create Study	Social complexity and the early social environment affect visual social attention to faces.	Autism research : official journal of the International Society for Autism Research	Tsang, Tawny; Johnson, Scott; Jeste, Shafali; Dapretto, Mirella	March 2019	Not Determined
30628809	Create Study	Early motor abilities in infants at heightened versus low risk for ASD: A Baby Siblings Research Consortium (BSRC) study.	Journal of abnormal psychology	Iverson, Jana M; Shic, Frederick; Wall, Carla A; Chawarska, Katarzyna; Curtin, Suzanne; Estes, Annette; Gardner, Judith M; Hutman, Ted; Landa, Rebecca J; Levin, April R; Libertus, Klaus; Messinger, Daniel S; Nelson, Charles A; Ozonoff, Sally; Sacrey, Lori-Ann R; Sheperd, Kelly; Stone, Wendy L; Tager-Flusberg, Helen B; Wolff, Jason J; Yirmiya, Nurit; Young, Gregory S	January 2019	Not Determined
30542259	Create Study	Imbalance of Functional Connectivity and Temporal Entropy in Resting-State Networks in Autism Spectrum Disorder: A Machine Learning Approach.	Frontiers in neuroscience	Smith, Robert X; Jann, Kay; Dapretto, Mirella; Wang, Danny J J	January 2018	Not Determined
30541423	Create Study	What''s missing in autism spectrum disorder motor assessments?	Journal of neurodevelopmental disorders	Wilson, Rujuta B; McCracken, James T; Rinehart, Nicole J; Jeste, Shafali S	December 2018	Not Determined
30506566	Create Study	The dysregulation profile in preschoolers with and without a family history of autism spectrum disorder.	Journal of child psychology and psychiatry, and allied disciplines	Miller, Meghan; Iosif, Ana-Maria; Young, Gregory S; Bell, Laura J; Schwichtenberg, A J; Hutman, Ted; Ozonoff, Sally	May 2019	Not Determined
30447054	Create Study	Mutations in STAG2 cause an X-linked cohesinopathy associated with undergrowth, developmental delay, and dysmorphia: Expanding the phenotype in males.	Molecular genetics & genomic medicine	Mullegama, Sureni V; Klein, Steven D; Signer, Rebecca H; UCLA Clinical Genomics Center; Vilain, Eric; Martinez-Agosto, Julian A	February 2019	Not Determined
30375176	Create Study	Atypical longitudinal development of functional connectivity in adolescents with autism spectrum disorder.	Autism research : official journal of the International Society for Autism Research	Lawrence, Katherine E; Hernandez, Leanna M; Bookheimer, Susan Y; Dapretto, Mirella	January 2019	Not Determined
30372577	Create Study	Altered lateralization of dorsal language tracts in 6-week-old infants at risk for autism.	Developmental science	Liu, Janelle; Tsang, Tawny; Jackson, Lisa; Ponting, Carolyn; Jeste, Shafali S; Bookheimer, Susan Y; Dapretto, Mirella	May 2019	Not Determined
30272146	Create Study	The Neuroanatomy of Autism Spectrum Disorder Symptomatology in 22q11.2 Deletion Syndrome.	Cerebral cortex (New York, N.Y. : 1991)	Gudbrandsen, M; Daly, E; Murphy, C M; Wichers, R H; Stoencheva, V; Perry, E; Andrews, D; Blackmore, C E; Rogdaki, M; Kushan, L; Bearden, C E; Murphy, D G M; Craig, M C; Ecker, C	July 2019	Not Determined
30084925	Create Study	Hybrid principal components analysis for region-referenced longitudinal functional EEG data.	Biostatistics (Oxford, England)	Scheffler, Aaron; Telesca, Donatello; Li, Qian; Sugar, Catherine A; Distefano, Charlotte; Jeste, Shafali; Şentürk, Damla	January 2020	Not Determined
29963691	Create Study	Organized physical activity programs: improving motor and non-motor symptoms in neurodevelopmental disorders.	Developmental medicine and child neurology	Rinehart, Nicole J; Jeste, Shafali; Wilson, Rujuta B	September 1, 2018	Not Determined
29961422	Create Study	Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder - a systematic methodological exploration of technical and demographic confounders in the search for biomarkers.	BMC medicine	Heunis, T; Aldrich, C; Peters, J M; Jeste, S S; Sahin, M; Scheffer, C; de Vries, P J	July 2018	Not Determined
29689375	Create Study	Interhemispheric alpha-band hypoconnectivity in children with autism spectrum disorder.	Behavioural brain research	Dickinson, Abigail; DiStefano, Charlotte; Lin, Yin-Ying; Scheffler, Aaron Wolfe; Senturk, Damla; Jeste, Shafali Spurling	August 2018	Not Determined
29540864	Create Study	A randomized, placebo-controlled trial of extended-release guanfacine in children with autism spectrum disorder and ADHD symptoms: an analysis of secondary outcome measures.	Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology	Politte LC, Scahill L, Figueroa J, Mccracken JT, King B, Mcdougle CJ	July 2018	Not Determined
29493557	Create Study	Motor development and delay: advances in assessment of motor skills in autism spectrum disorders.	Current opinion in neurology	Wilson, Rujuta B; Enticott, Peter G; Rinehart, Nicole J	April 1, 2018	Not Determined
29461424	Create Study	Developmental disorders special issue: biomarkers and targeted therapeutics.	Current opinion in neurology	Jeste SS	April 2018	Not Determined
28900778	Create Study	Early Gesture and Vocabulary Development in Infant Siblings of Children with Autism Spectrum Disorder.	Journal of autism and developmental disorders	Iverson, Jana M; Northrup, Jessie B; Leezenbaum, Nina B; Parladé, Meaghan V; Koterba, Erin A; West, Kelsey L	January 2018	Not Determined
28700096	Create Study	Peak alpha frequency is a neural marker of cognitive function across the autism spectrum.	The European journal of neuroscience	Dickinson, Abigail; DiStefano, Charlotte; Senturk, Damla; Jeste, Shafali Spurling	March 1, 2018	Relevant
28367513	Create Study	Categorical versus dimensional approaches to autism-associated intermediate phenotypes in 22q11.2 microdeletion syndrome.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Jalbrzikowski, Maria; Ahmed, Khwaja Hamzah; Patel, Arati; Jonas, Rachel; Kushan, Leila; Chow, Carolyn; Bearden, Carrie E	January 2017	Not Determined
28296084	Create Study	De novo loss-of-function variants in STAG2 are associated with developmental delay, microcephaly, and congenital anomalies.	American journal of medical genetics. Part A	Mullegama, Sureni V; Klein, Steven D; Mulatinho, Milene V; Senaratne, Tharanga Niroshini; Singh, Kathryn; UCLA Clinical Genomics Center; Nguyen, Dzung C; Gallant, Natalie M; Strom, Samuel P; Ghahremani, Shahnaz; Rao, Nagesh P; Martinez-Agosto, Julian A	May 2017	Not Determined
28291247	Create Study	Enhancing studies of the connectome in autism using the autism brain imaging data exchange II.	Scientific data	Di Martino, Adriana; O'Connor, David; Chen, Bosi; Alaerts, Kaat; Anderson, Jeffrey S; Assaf, Michal; Balsters, Joshua H; Baxter, Leslie; Beggiato, Anita; Bernaerts, Sylvie; Blanken, Laura M E; Bookheimer, Susan Y; Braden, B Blair; Byrge, Lisa; Castellanos, F Xavier; Dapretto, Mirella; Delorme, Richard; Fair, Damien A; Fishman, Inna; Fitzgerald, Jacqueline; Gallagher, Louise; Keehn, R Joanne Jao; Kennedy, Daniel P; Lainhart, Janet E; Luna, Beatriz; Mostofsky, Stewart H; Müller, Ralph-Axel; Nebel, Mary Beth; Nigg, Joel T; O'Hearn, Kirsten; Solomon, Marjorie; Toro, Roberto; Vaidya, Chandan J; Wenderoth, Nicole; White, Tonya; Craddock, R Cameron; Lord, Catherine; Leventhal, Bennett; Milham, Michael P	March 2017	Not Relevant
28284787	Create Study	Sensory over-responsivity and social cognition in ASD: Effects of aversive sensory stimuli and attentional modulation on neural responses to social cues.	Developmental cognitive neuroscience	Green, Shulamite A; Hernandez, Leanna M; Bowman, Hilary C; Bookheimer, Susan Y; Dapretto, Mirella	January 2018	Not Determined
28132692	Create Study	A Recurrent De Novo Variant in NACC1 Causes a Syndrome Characterized by Infantile Epilepsy, Cataracts, and Profound Developmental Delay.	American journal of human genetics	Schoch, Kelly; Meng, Linyan; Szelinger, Szabolcs; Bearden, David R; Stray-Pedersen, Asbjorg; Busk, Oyvind L; Stong, Nicholas; Liston, Eriskay; Cohn, Ronald D; Scaglia, Fernando; Rosenfeld, Jill A; Tarpinian, Jennifer; Skraban, Cara M; Deardorff, Matthew A; Friedman, Jeremy N; Akdemir, Zeynep Coban; Walley, Nicole; Mikati, Mohamad A; Kranz, Peter G; Jasien, Joan; McConkie-Rosell, Allyn; McDonald, Marie; Wechsler, Stephanie Burns; Freemark, Michael; Kansagra, Sujay; Freedman, Sharon; Bali, Deeksha; Millan, Francisca; Bale, Sherri; Nelson, Stanley F; Lee, Hane; Dorrani, Naghmeh; UCLA Clinical Genomics Center; Undiagnosed Diseases Network; Goldstein, David B; Xiao, Rui; Yang, Yaping; Posey, Jennifer E; Martinez-Agosto, Julian A; Lupski, James R; Wangler, Michael F; Shashi, Vandana	February 2017	Not Relevant
28009726	Create Study	The emergence of autism spectrum disorder: insights gained from studies of brain and behaviour in high-risk infants.	Current opinion in psychiatry	Varcin, Kandice J; Jeste, Shafali S	March 2017	Not Relevant
27940149	Create Study	Close genetic relationships between a spousal pair with autism-affected children and high minor allele content in cases in autism-associated SNPs.	Genomics	Zhu Z, Lu X, Yuan D, Huang S	January 2017	Not Determined
27910235	Create Study	The impact of caregiver-mediated JASPER on child restricted and repetitive behaviors and caregiver responses.	Autism research : official journal of the International Society for Autism Research	Harrop, Clare; Gulsrud, Amanda; Shih, Wendy; Hovsepyan, Lilit; Kasari, Connie	May 1, 2017	Not Determined
27896947	Create Study	Reduced modulation of thalamocortical connectivity during exposure to sensory stimuli in ASD.	Autism research : official journal of the International Society for Autism Research	Green, Shulamite A; Hernandez, Leanna; Bookheimer, Susan Y; Dapretto, Mirella	May 2017	Not Determined
27860216	Create Study	Somatic overgrowth disorders of the PI3K/AKT/mTOR pathway & therapeutic strategies.	American journal of medical genetics. Part C, Seminars in medical genetics	Keppler-Noreuil, Kim M; Parker, Victoria E R; Darling, Thomas N; Martinez-Agosto, Julian A	December 2016	Not Determined
27843152	Create Study	Additive effects of oxytocin receptor gene polymorphisms on reward circuitry in youth with autism.	Molecular psychiatry	Hernandez, L M; Krasileva, K; Green, S A; Sherman, L E; Ponting, C; McCarron, R; Lowe, J K; Geschwind, D H; Bookheimer, S Y; Dapretto, M	August 2017	Not Determined
27814521	Create Study	The Central Nervous System and the Gut Microbiome.	Cell	Sharon, Gil; Sampson, Timothy R; Geschwind, Daniel H; Mazmanian, Sarkis K	November 2016	Not Determined
27601973	Create Study	Noise Reduction in Arterial Spin Labeling Based Functional Connectivity Using Nuisance Variables.	Frontiers in neuroscience	Jann, Kay; Smith, Robert X; Rios Piedra, Edgar A; Dapretto, Mirella; Wang, Danny J J	January 2016	Not Determined
27422356	Create Study	Truncating mutations in APP cause a distinct neurological phenotype.	Annals of neurology	Klein S, Goldman A, Lee H, Ghahremani S, Bhakta V, Nelson SF, Martinez-Agosto JA	September 2016	Not Determined
27417857	Create Study	Non-ASD outcomes at 36 months in siblings at familial risk for autism spectrum disorder (ASD): A baby siblings research consortium (BSRC) study.	Autism research : official journal of the International Society for Autism Research	Charman, Tony; Young, Gregory S; Brian, Jessica; Carter, Alice; Carver, Leslie J; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Elsabbagh, Mayada; Georgiades, Stelios; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Jones, Emily J; Landa, Rebecca; Macari, Suzanne; Messinger, Daniel S; Nelson, Charles A; Ozonoff, Sally; Saulnier, Celine; Stone, Wendy L; Tager-Flusberg, Helen; Webb, Sara Jane; Yirmiya, Nurit; Zwaigenbaum, Lonnie	January 2017	Not Determined
27358719	Create Study	Commentary: sex difference differences? A reply to Constantino.	Molecular autism	Messinger, Daniel S; Young, Gregory S; Webb, Sara Jane; Ozonoff, Sally; Bryson, Susan E; Carter, Alice; Carver, Leslie; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Landa, Rebecca; Nelson, Charles A; Stone, Wendy L; Tager-Flusberg, Helen; Zwaigenbaum, Lonnie	2016	Not Relevant
27343889	Create Study	Salience Network Connectivity in Autism Is Related to Brain and Behavioral Markers of Sensory Overresponsivity.	Journal of the American Academy of Child and Adolescent Psychiatry	Green, Shulamite A; Hernandez, Leanna; Bookheimer, Susan Y; Dapretto, Mirella	July 2016	Not Determined
27158270	Create Study	Identification of a distinct developmental and behavioral profile in children with Dup15q syndrome.	Journal of neurodevelopmental disorders	Distefano C, Gulsrud A, Huberty S, Kasari C, Cook E, Reiter LT, Thibert R, Jeste SS	January 2016	Not Relevant
26881074	Create Study	Theory of Mind Indexes the Broader Autism Phenotype in Siblings of Children with Autism at School Age.	Autism research and treatment	Tsang, Tawny; Gillespie-Lynch, Kristen; Hutman, Ted	January 2016	Not Determined
26808343	Create Study	Intact recognition, but attenuated adaptation, for biological motion in youth with autism spectrum disorder.	Autism research : official journal of the International Society for Autism Research	Van Boxtel JJ, Dapretto M, Lu H	October 2016	Not Determined
26797940	Create Study	Increasing Responsive Parent-Child Interactions and Joint Engagement: Comparing the Influence of Parent-Mediated Intervention and Parent Psychoeducation.	Journal of autism and developmental disorders	Shire, Stephanie Y; Gulsrud, Amanda; Kasari, Connie	May 2016	Not Determined
26687839	Create Study	Cytoplasmic Rbfox1 Regulates the Expression of Synaptic and Autism-Related Genes.	Neuron	Lee, Ji-Ann; Damianov, Andrey; Lin, Chia-Ho; Fontes, Mariana; Parikshak, Neelroop N; Anderson, Erik S; Geschwind, Daniel H; Black, Douglas L; Martin, Kelsey C	January 6, 2016	Not Relevant
26627310	Create Study	JAKMIP1, a Novel Regulator of Neuronal Translation, Modulates Synaptic Function and Autistic-like Behaviors in Mouse.	Neuron	Berg, Jamee M; Lee, Changhoon; Chen, Leslie; Galvan, Laurie; Cepeda, Carlos; Chen, Jane Y; Peñagarikano, Olga; Stein, Jason L; Li, Alvin; Oguro-Ando, Asami; Miller, Jeremy A; Vashisht, Ajay A; Starks, Mary E; Kite, Elyse P; Tam, Eric; Gdalyahu, Amos; Al-Sharif, Noor B; Burkett, Zachary D; White, Stephanie A; Fears, Scott C; Levine, Michael S; Wohlschlegel, James A; Geschwind, Daniel H	December 16, 2015	Not Determined
26527311	Create Study	Joint engagement modulates object discrimination in toddlers: a pilot electrophysiological investigation.	Social neuroscience	Hutman, Ted; Harrop, Clare; Baker, Elizabeth; Elder, Lauren; Abood, Kimberly; Soares, Annabelle; Jeste, Shafali Spurling	October 1, 2016	Not Determined
26525461	Create Study	Isolating active ingredients in a parent-mediated social communication intervention for toddlers with autism spectrum disorder.	Journal of child psychology and psychiatry, and allied disciplines	Gulsrud, Amanda C; Hellemann, Gerhard; Shire, Stephanie; Kasari, Connie	May 2016	Not Determined
26509118	Create Study	Neural mechanisms of response inhibition and impulsivity in 22q11.2 deletion carriers and idiopathic attention deficit hyperactivity disorder.	NeuroImage. Clinical	Montojo, C A; Congdon, E; Hwang, L; Jalbrzikowski, M; Kushan, L; Vesagas, T K; Jonas, R K; Ventura, J; Bilder, R M; Bearden, C E	2015	Not Determined
26451968	Create Study	School-age outcomes of infants at risk for autism spectrum disorder.	Autism research : official journal of the International Society for Autism Research	Miller, Meghan; Iosif, Ana-Maria; Young, Gregory S; Hill, Monique; Phelps Hanzel, Elise; Hutman, Ted; Johnson, Scott; Ozonoff, Sally	June 1, 2016	Not Determined
26445698	Create Study	Altered resting perfusion and functional connectivity of default mode network in youth with autism spectrum disorder.	Brain and behavior	Jann K, Hernandez LM, Beck-Pancer D, McCarron R, Smith RX, Dapretto M, Wang DJ	September 2015	Not Determined
26408631	Create Study	Preconceptional and prenatal supplementary folic acid and multivitamin intake and autism spectrum disorders.	Autism : the international journal of research and practice	Virk, Jasveer; Liew, Zeyan; Olsen, Jørn; Nohr, Ellen A; Catov, Janet M; Ritz, Beate	August 1, 2016	Not Determined
26374786	Create Study	Autism Spectrum Disorder and Epilepsy: Two Sides of the Same Coin?	Journal of child neurology	Jeste, Shafali Spurling; Tuchman, Roberto	December 2015	Not Determined
26201030	Create Study	Transcriptome Profiling of Peripheral Blood in 22q11.2 Deletion Syndrome Reveals Functional Pathways Related to Psychosis and Autism Spectrum Disorder.	PloS one	Jalbrzikowski, Maria; Lazaro, Maria T; Gao, Fuying; Huang, Alden; Chow, Carolyn; Geschwind, Daniel H; Coppola, Giovanni; Bearden, Carrie E	2015	Not Relevant
26164418	Create Study	Infants'' behavioral styles in joint attention situations and parents'' socio-economic status.	Infant behavior & development	Abels, Monika; Hutman, Ted	August 2015	Not Determined
26106930	Create Study	Characterizing Resting-State Brain Function Using Arterial Spin Labeling.	Brain connectivity	Chen, J Jean; Jann, Kay; Wang, Danny J J	November 2015	Not Relevant
26096080	Create Study	Wavelet-based regularity analysis reveals recurrent spatiotemporal behavior in resting-state fMRI.	Human brain mapping	Smith, Robert X; Jann, Kay; Ances, Beau; Wang, Danny J J	September 2015	Not Determined
26061819	Create Study	Neurobiology of Sensory Overresponsivity in Youth With Autism Spectrum Disorders.	JAMA psychiatry	Green, Shulamite A; Hernandez, Leanna; Tottenham, Nim; Krasileva, Kate; Bookheimer, Susan Y; Dapretto, Mirella	August 2015	Not Determined
26045943	Create Study	Early sex differences are not autism-specific: A Baby Siblings Research Consortium (BSRC) study.	Molecular autism	Messinger, Daniel S; Young, Gregory S; Webb, Sara Jane; Ozonoff, Sally; Bryson, Susan E; Carter, Alice; Carver, Leslie; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Landa, Rebecca; Nelson, Charles A; Stone, Wendy L; Tager-Flusberg, Helen; Zwaigenbaum, Lonnie	January 2015	Not Determined
26018425	Create Study	VoICE: A semi-automated pipeline for standardizing vocal analysis across models.	Scientific reports	Burkett, Zachary D; Day, Nancy F; Peñagarikano, Olga; Geschwind, Daniel H; White, Stephanie A	2015	Not Determined
25973164	Create Study	Recurrence rates provide evidence for sex-differential, familial genetic liability for autism spectrum disorders in multiplex families and twins.	Molecular autism	Werling DM, Geschwind DH	2015	Not Determined
25948600	Create Study	Characterizing caregiver responses to restricted and repetitive behaviors in toddlers with autism spectrum disorder.	Autism : the international journal of research and practice	Harrop C, Gulsrud A, Shih W, Hovsepyan L, Kasari C	April 2016	Not Determined
25891009	Create Study	Gene hunting in autism spectrum disorder: on the path to precision medicine.	The Lancet. Neurology	Geschwind, Daniel H; State, Matthew W	November 2015	Not Determined
25891007	Create Study	Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan.	The Lancet. Neurology	Ecker, Christine; Bookheimer, Susan Y; Murphy, Declan G M	November 2015	Not Determined
25822242	Create Study	Randomized comparative efficacy study of parent-mediated interventions for toddlers with autism.	Journal of consulting and clinical psychology	Kasari, Connie; Gulsrud, Amanda; Paparella, Tanya; Hellemann, Gerhard; Berry, Kathleen	June 2015	Not Determined
25727539	Create Study	Social responsiveness, an autism endophenotype: genomewide significant linkage to two regions on chromosome 8.	The American journal of psychiatry	Lowe JK, Werling DM, Constantino JN, Cantor RM, Geschwind DH	March 1, 2015	Not Determined
25715178	Create Study	Cognitive decline preceding the onset of psychosis in patients with 22q11.2 deletion syndrome.	JAMA psychiatry	Vorstman, Jacob A S; Breetvelt, Elemi J; Duijff, Sasja N; Eliez, Stephan; Schneider, Maude; Jalbrzikowski, Maria; Armando, Marco; Vicari, Stefano; Shashi, Vandana; Hooper, Stephen R; Chow, Eva W C; Fung, Wai Lun Alan; Butcher, Nancy J; Young, Donald A; McDonald-McGinn, Donna M; Vogels, Annick; van Amelsvoort, Therese; Gothelf, Doron; Weinberger, Ronnie; Weizman, Abraham; Klaassen, Petra W J; Koops, Sanne; Kates, Wendy R; Antshel, Kevin M; Simon, Tony J; Ousley, Opal Y; Swillen, Ann; Gur, Raquel E; Bearden, Carrie E; Kahn, René S; Bassett, Anne S; International Consortium on Brain and Behavior in 22q11.2 Deletion Syndrome	April 2015	Not Determined
25695138	Create Study	Developmental disorders.	Current opinion in neurology	Jeste, Shafali S; Geschwind, Daniel H	April 2015	Not Relevant
25609168	Create Study	Exogenous and evoked oxytocin restores social behavior in the Cntnap2 mouse model of autism.	Science translational medicine	Peñagarikano, Olga; Lázaro, María T; Lu, Xiao-Hong; Gordon, Aaron; Dong, Hongmei; Lam, Hoa A; Peles, Elior; Maidment, Nigel T; Murphy, Niall P; Yang, X William; Golshani, Peyman; Geschwind, Daniel H	January 21, 2015	Not Determined
25463468	Create Study	Functional connectivity in BOLD and CBF data: similarity and reliability of resting brain networks.	NeuroImage	Jann K, Gee DG, Kilroy E, Schwab S, Smith RX, Cannon TD, Wang DJ	February 1, 2015	Not Determined
25457930	Create Study	18-month predictors of later outcomes in younger siblings of children with autism spectrum disorder: a baby siblings research consortium study.	Journal of the American Academy of Child and Adolescent Psychiatry	Chawarska, Katarzyna; Shic, Frederick; Macari, Suzanne; Campbell, Daniel J; Brian, Jessica; Landa, Rebecca; Hutman, Ted; Nelson, Charles A; Ozonoff, Sally; Tager-Flusberg, Helen; Young, Gregory S; Zwaigenbaum, Lonnie; Cohen, Ira L; Charman, Tony; Messinger, Daniel S; Klin, Ami; Johnson, Scott; Bryson, Susan	December 2014	Not Determined
25418720	Create Study	Maternal inflammation contributes to brain overgrowth and autism-associated behaviors through altered redox signaling in stem and progenitor cells.	Stem cell reports	Le Belle, Janel E; Sperry, Jantzen; Ngo, Amy; Ghochani, Yasmin; Laks, Dan R; López-Aranda, Manuel; Silva, Alcino J; Kornblum, Harley I	November 11, 2014	Not Determined
25409314	Create Study	Protein interaction networks reveal novel autism risk genes within GWAS statistical noise.	PloS one	Correia, Catarina; Oliveira, Guiomar; Vicente, Astrid M	2014	Not Determined
25315782	Create Study	Early pragmatic language difficulties in siblings of children with autism: implications for DSM-5 social communication disorder?	Journal of child psychology and psychiatry, and allied disciplines	Miller, Meghan; Young, Gregory S; Hutman, Ted; Johnson, Scott; Schwichtenberg, A J; Ozonoff, Sally	July 2015	Not Determined
25245349	Create Study	Early head growth in infants at risk of autism: a baby siblings research consortium study.	Journal of the American Academy of Child and Adolescent Psychiatry	Zwaigenbaum, Lonnie; Young, Gregory S; Stone, Wendy L; Dobkins, Karen; Ozonoff, Sally; Brian, Jessica; Bryson, Susan E; Carver, Leslie J; Hutman, Ted; Iverson, Jana M; Landa, Rebecca J; Messinger, Daniel	October 2014	Not Determined
25078724	Create Study	Time reproduction performance is associated with age and working memory in high-functioning youth with autism spectrum disorder.	Autism research : official journal of the International Society for Autism Research	Brenner, Laurie A; Shih, Vivian H; Colich, Natalie L; Sugar, Catherine A; Bearden, Carrie E; Dapretto, Mirella	February 2015	Not Determined
25038753	Create Study	Most genetic risk for autism resides with common variation.	Nature genetics	Gaugler, Trent; Klei, Lambertus; Sanders, Stephan J; Bodea, Corneliu A; Goldberg, Arthur P; Lee, Ann B; Mahajan, Milind; Manaa, Dina; Pawitan, Yudi; Reichert, Jennifer; Ripke, Stephan; Sandin, Sven; Sklar, Pamela; Svantesson, Oscar; Reichenberg, Abraham; Hultman, Christina M; Devlin, Bernie; Roeder, Kathryn; Buxbaum, Joseph D	August 2014	Not Determined
25011468	Create Study	Neural signatures of autism spectrum disorders: insights into brain network dynamics.	Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology	Hernandez, Leanna M; Rudie, Jeffrey D; Green, Shulamite A; Bookheimer, Susan; Dapretto, Mirella	January 2015	Not Determined
24577245	Create Study	Psychiatric disorders from childhood to adulthood in 22q11.2 deletion syndrome: results from the International Consortium on Brain and Behavior in 22q11.2 Deletion Syndrome.	The American journal of psychiatry	Schneider, Maude; Debbané, Martin; Bassett, Anne S; Chow, Eva W C; Fung, Wai Lun Alan; van den Bree, Marianne; Owen, Michael; Murphy, Kieran C; Niarchou, Maria; Kates, Wendy R; Antshel, Kevin M; Fremont, Wanda; McDonald-McGinn, Donna M; Gur, Raquel E; Zackai, Elaine H; Vorstman, Jacob; Duijff, Sasja N; Klaassen, Petra W J; Swillen, Ann; Gothelf, Doron; Green, Tamar; Weizman, Abraham; Van Amelsvoort, Therese; Evers, Laurens; Boot, Erik; Shashi, Vandana; Hooper, Stephen R; Bearden, Carrie E; Jalbrzikowski, Maria; Armando, Marco; Vicari, Stefano; Murphy, Declan G; Ousley, Opal; Campbell, Linda E; Simon, Tony J; Eliez, Stephan; International Consortium on Brain and Behavior in 22q11.2 Deletion Syndrome	June 2014	Not Determined
24353275	Create Study	Is early joint attention associated with school-age pragmatic language?	Autism : the international journal of research and practice	Gillespie-Lynch, Kristen; Khalulyan, Allie; Del Rosario, Mithi; McCarthy, Brigid; Gomez, Lovella; Sigman, Marian; Hutman, Ted	February 2015	Not Determined
24183016	Create Study	Cortical evolution: judge the brain by its cover.	Neuron	Geschwind, Daniel H; Rakic, Pasko	October 30, 2013	Not Determined
24177988	Create Study	Neural substrates of inhibitory control deficits in 22q11.2 deletion syndrome.	Cerebral cortex (New York, N.Y. : 1991)	Montojo, C A; Jalbrzikowski, M; Congdon, E; Domicoli, S; Chow, C; Dawson, C; Karlsgodt, K H; Bilder, R M; Bearden, C E	April 2015	Not Relevant
24157390	Create Study	Overreactive brain responses to sensory stimuli in youth with autism spectrum disorders.	Journal of the American Academy of Child and Adolescent Psychiatry	Green SA, Rudie JD, Colich NL, Wood JJ, Shirinyan D, Hernandez L, Tottenham N, Dapretto M, Bookheimer SY	November 2013	Not Determined
24104518	Create Study	The association between parental interaction style and children's joint engagement in families with toddlers with autism.	Autism : the international journal of research and practice	Patterson SY, Elder L, Gulsrud A, Kasari C	July 2014	Not Determined
24099842	Create Study	Dynamic and static contributions of the cerebrovasculature to the resting-state BOLD signal.	NeuroImage	Tak, Sungho; Wang, Danny J J; Polimeni, Jonathan R; Yan, Lirong; Chen, J Jean	January 1, 2014	Not Determined
24078018	Create Study	Underconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism.	Social cognitive and affective neuroscience	Alaerts K, Woolley DG, Steyaert J, Di Martino A, Swinnen SP, Wenderoth N	October 2014	Not Determined
23992925	Create Study	The 22q11.2 deletion syndrome as a window into complex neuropsychiatric disorders over the lifespan.	Biological psychiatry	Jonas, Rachel K; Montojo, Caroline A; Bearden, Carrie E	March 1, 2014	Not Determined
23912681	Create Study	Default mode network connectivity and reciprocal social behavior in 22q11.2 deletion syndrome.	Social cognitive and affective neuroscience	Schreiner MJ, Karlsgodt KH, Uddin LQ, Chow C, Congdon E, Jalbrzikowski M, Bearden CE	September 2014	Not Determined
23820765	Create Study	Parent-reported temperament trajectories among infant siblings of children with autism.	Journal of autism and developmental disorders	Del Rosario, Mithi; Gillespie-Lynch, Kristen; Johnson, Scott; Sigman, Marian; Hutman, Ted	February 2014	Not Determined
23774715	Create Study	The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.	Molecular psychiatry	Di Martino, A; Yan, C-G; Li, Q; Denio, E; Castellanos, F X; Alaerts, K; Anderson, J S; Assaf, M; Bookheimer, S Y; Dapretto, M; Deen, B; Delmonte, S; Dinstein, I; Ertl-Wagner, B; Fair, D A; Gallagher, L; Kennedy, D P; Keown, C L; Keysers, C; Lainhart, J E; Lord, C; Luna, B; Menon, V; Minshew, N J; Monk, C S; Mueller, S; Müller, R-A; Nebel, M B; Nigg, J T; O'Hearn, K; Pelphrey, K A; Peltier, S J; Rudie, J D; Sunaert, S; Thioux, M; Tyszka, J M; Uddin, L Q; Verhoeven, J S; Wenderoth, N; Wiggins, J L; Mostofsky, S H; Milham, M P	June 2014	Not Determined
23619947	Create Study	Atypical gaze following in autism: a comparison of three potential mechanisms.	Journal of autism and developmental disorders	Gillespie-Lynch, K; Elias, R; Escudero, P; Hutman, T; Johnson, S P	December 2013	Not Determined
23452686	Create Study	Beyond autism: a baby siblings research consortium study of high-risk children at three years of age.	Journal of the American Academy of Child and Adolescent Psychiatry	Messinger, Daniel; Young, Gregory S; Ozonoff, Sally; Dobkins, Karen; Carter, Alice; Zwaigenbaum, Lonnie; Landa, Rebecca J; Charman, Tony; Stone, Wendy L; Constantino, John N; Hutman, Ted; Carver, Leslie J; Bryson, Susan; Iverson, Jana M; Strauss, Mark S; Rogers, Sally J; Sigman, Marian	March 2013	Not Determined
23352155	Create Study	Rare inherited variation in autism: beginning to see the forest and a few trees.	Neuron	Stein JL, Parikshak NN, Geschwind DH	January 23, 2013	Not Determined
23298182	Create Study	Decreased reelin expression and organophosphate pesticide exposure alters mouse behaviour and brain morphology.	ASN neuro	Mullen, Brian R; Khialeeva, Elvira; Hoffman, Daniel B; Ghiani, Cristina A; Carpenter, Ellen M	2013	Not Determined
23098994	Create Study	Converging levels of analysis on a genomic hotspot for psychosis: insights from 22q11.2 deletion syndrome.	Neuropharmacology	Schreiner, Matthew J; Lazaro, Maria T; Jalbrzikowski, Maria; Bearden, Carrie E	May 1, 2013	Not Determined
22965298	Create Study	Preschool based JASPER intervention in minimally verbal children with autism: pilot RCT.	Journal of autism and developmental disorders	Goods KS, Ishijima E, Chang YC, Kasari C	May 2013	Not Determined
22962003	Create Study	Deficits in mental state attributions in individuals with 22q11.2 deletion syndrome (velo-cardio-facial syndrome).	Autism research : official journal of the International Society for Autism Research	Ho JS, Radoeva PD, Jalbrzikowski M, Chow C, Hopkins J, Tran WC, Mehta A, Enrique N, Gilbert C, Antshel KM, Fremont W, Kates WR, Bearden CE	December 2012	Not Determined
22958829	Create Study	Autism-associated promoter variant in MET impacts functional and structural brain networks.	Neuron	Rudie, Jeffrey D; Hernandez, Leanna M; Brown, Jesse A; Beck-Pancer, Devora; Colich, Natalie L; Gorrindo, Philip; Thompson, Paul M; Geschwind, Daniel H; Bookheimer, Susan Y; Levitt, Pat; Dapretto, Mirella	September 6, 2012	Not Determined
22843504	Create Study	Individual common variants exert weak effects on the risk for autism spectrum disorders.	Human molecular genetics	Anney, Richard; Klei, Lambertus; Pinto, Dalila; Almeida, Joana; Bacchelli, Elena; Baird, Gillian; Bolshakova, Nadia; Bölte, Sven; Bolton, Patrick F; Bourgeron, Thomas; Brennan, Sean; Brian, Jessica; Casey, Jillian; Conroy, Judith; Correia, Catarina; Corsello, Christina; Crawford, Emily L; de Jonge, Maretha; Delorme, Richard; Duketis, Eftichia; Duque, Frederico; Estes, Annette; Farrar, Penny; Fernandez, Bridget A; Folstein, Susan E; Fombonne, Eric; Gilbert, John; Gillberg, Christopher; Glessner, Joseph T; Green, Andrew; Green, Jonathan; Guter, Stephen J; Heron, Elizabeth A; Holt, Richard; Howe, Jennifer L; Hughes, Gillian; Hus, Vanessa; Igliozzi, Roberta; Jacob, Suma; Kenny, Graham P; Kim, Cecilia; Kolevzon, Alexander; Kustanovich, Vlad; Lajonchere, Clara M; Lamb, Janine A; Law-Smith, Miriam; Leboyer, Marion; Le Couteur, Ann; Leventhal, Bennett L; Liu, Xiao-Qing; Lombard, Frances; Lord, Catherine; Lotspeich, Linda; Lund, Sabata C; Magalhaes, Tiago R; Mantoulan, Carine; McDougle, Christopher J; Melhem, Nadine M; Merikangas, Alison; Minshew, Nancy J; Mirza, Ghazala K; Munson, Jeff; Noakes, Carolyn; Nygren, Gudrun; Papanikolaou, Katerina; Pagnamenta, Alistair T; Parrini, Barbara; Paton, Tara; Pickles, Andrew; Posey, David J; Poustka, Fritz; Ragoussis, Jiannis; Regan, Regina; Roberts, Wendy; Roeder, Kathryn; Roge, Bernadette; Rutter, Michael L; Schlitt, Sabine; Shah, Naisha; Sheffield, Val C; Soorya, Latha; Sousa, Inês; Stoppioni, Vera; Sykes, Nuala; Tancredi, Raffaella; Thompson, Ann P; Thomson, Susanne; Tryfon, Ana; Tsiantis, John; Van Engeland, Herman; Vincent, John B; Volkmar, Fred; Vorstman, J A S; Wallace, Simon; Wing, Kirsty; Wittemeyer, Kerstin; Wood, Shawn; Zurawiecki, Danielle; Zwaigenbaum, Lonnie; Bailey, Anthony J; Battaglia, Agatino; Cantor, Rita M; Coon, Hilary; Cuccaro, Michael L; Dawson, Geraldine; Ennis, Sean; Freitag, Christine M; Geschwind, Daniel H; Haines, Jonathan L; Klauck, Sabine M; McMahon, William M; Maestrini, Elena; Miller, Judith; Monaco, Anthony P; Nelson, Stanley F; Nurnberger Jr, John I; Oliveira, Guiomar; Parr, Jeremy R; Pericak-Vance, Margaret A; Piven, Joseph; Schellenberg, Gerard D; Scherer, Stephen W; Vicente, Astrid M; Wassink, Thomas H; Wijsman, Ellen M; Betancur, Catalina; Buxbaum, Joseph D; Cook, Edwin H; Gallagher, Louise; Gill, Michael; Hallmayer, Joachim; Paterson, Andrew D; Sutcliffe, James S; Szatmari, Peter; Vieland, Veronica J; Hakonarson, Hakon; Devlin, Bernie	November 1, 2012	Not Determined
22760337	Create Study	Neural and behavioral responses during self-evaluative processes differ in youth with and without autism.	Journal of autism and developmental disorders	Pfeifer, Jennifer H; Merchant, Junaid S; Colich, Natalie L; Hernandez, Leanna M; Rudie, Jeff D; Dapretto, Mirella	February 2013	Not Determined

helpcenter.collection.publications-tab

Collection - Publications

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column.

Frequently Asked Questions

How can I determine if a publication is relevant?

Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
Where does the NDA get the publications?

PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).

Glossary

Create Study

A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
Not Determined Publication

Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
Not Relevant Publication

A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
PubMed

PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
PubMed ID

The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
Relevant Publication

A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

Contact NDA Help Desk

Data Expected List: Mandatory Data Structures

These data structures are mandatory for your NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

For NIMH HIV-related research that involves human research participants: Select the dictionary or dictionaries most appropriate for your research. If your research does not require all three data dictionaries, just ignore the ones you do not need. There is no need to delete extra data dictionaries from your NDA Collection. You can adjust the Targeted Enrollment column in the Data Expected tab to “0” for those unnecessary data dictionaries. At least one of the three data dictionaries must have a non-zero value.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Research Subject and Pedigree	144	07/15/2014	620	11/15/2014	620	Approved

To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

If the Structure you need already exists, locate it and specify your dates and enrollment when adding it to your Data Expected list. If you require changes to the Structure you need, select the indicator stating "No, it requires changes to meet research needs," and upload a file containing your requested changes.

If the structure you need is not yet defined in the Data Dictionary, you can select "Upload Definition" and attach the necessary materials to request its creation.

When selecting the expected dates for your data, make sure to follow the standard Data Sharing Regimen and choose dates within the date ranges that correspond to your project start and end dates.

Please visit the Completing Your Data Expected Tutorial for more information.

Data Expected List: Data Structures per Research Aims

These data structures are specific to your research aims and should list all data structures in which data will be collected and submitted for this NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Mullen Scales of Early Learning	374	07/31/2013	177	11/15/2013	177	Approved
Genomics/omics	177	11/27/2017	169	09/30/2018	169	Approved
ABC Community	125	07/31/2013	40	11/15/2013	40	Approved
Leiter International Performance Scale-Revised (Leiter-R)	374	01/15/2014	41	05/15/2014	41	Approved
ADOS	197	07/31/2013	243	11/15/2013	243	Approved
Simpson-Angus Rating Scale (SAS)	125	07/31/2013	41	11/15/2013	41	Approved
ADI-R	197	07/31/2013	89	11/15/2013	89	Approved
Childrens Yale-Brown OC Scale (CY-BOCS)	374	07/31/2013	21	11/15/2013	21	Approved
Medical History	125	07/31/2013	230	11/15/2013	230	Approved
Eye Tracking	230	01/15/2014	200	05/15/2014	200	Approved
Social Responsiveness Scale (SRS)	374	07/31/2013	416	11/15/2013	416	Approved
Wechsler Abbreviated Scale of Intelligence (WASI)	374	07/31/2013	58	11/15/2013	58	Approved
Genetic Test	492	07/31/2013	104	11/15/2013	104	Approved
Interpersonal Reactivity Index	125	07/31/2013	74	11/15/2013	74	Approved
Social Communication Questionnaire (SCQ)	72	07/31/2013	162	11/15/2013	162	Approved
Demographics	33	07/31/2013	33	11/15/2013	33	Approved
Child Behavior Checklist (CBCL)	125	07/31/2013	76	11/15/2013	76	Approved
M-CHAT	374	01/31/2015	59	05/15/2015	59	Approved
Abnormal Involuntary Movement Scale (AIMS)	72	01/15/2014	41	05/15/2014	41	Approved
Clinical Global Impression (CGI)	105	01/15/2014	41	05/15/2014	41	Approved
Autism Observation Scale for Infants (AOSI)	72	01/15/2014	86	05/15/2014	86	Approved
Vital Signs Assessment	374	07/31/2013	41	11/15/2013	41	Approved
Early Social Communication Scales (ESCS)	249	11/27/2017	145	09/28/2018	145	Approved
Child Symptom Inventory Parent Checklist	374	07/31/2013	77	11/15/2013	77	Approved
Interpersonal Competence Scale (ICS)	230	07/31/2013	78	11/15/2013	78	Approved
Parent Concerns Questionaire	177	07/31/2013	94	11/15/2013	94	Approved
Wechsler Intelligence Scale for Children	250	07/31/2013	16	11/15/2013	16	Approved
MacArthur Bates Communicative Development Inventory	72	01/15/2014	90	05/15/2014	90	Approved
Peabody Picture Vocabulary Test, Fourth Edition	105	07/31/2013	72	11/15/2013	72	Approved
Repetitive Behavior Scale - Revised (RBS-R)	72	07/31/2013	120	11/15/2013	120	Approved
Preschool Language Scale (PLS)	374	07/31/2013	41	11/15/2013	41	Approved
Physical Exam	374	07/31/2013	74	11/15/2013	74	Approved
Sensory Profile	374	07/31/2013	76	11/15/2013	76	Approved
Behavior Rating Inventory of Executive Function (BRIEF)	250	07/31/2013	77	11/15/2013	77	Approved
Clinical Lab Tests	72	01/15/2014	30	05/15/2014	30	Approved
Side Effects	105	01/15/2014	41	05/15/2014	41	Approved
Vineland (Parent and Caregiver)	197	07/31/2013	158	11/15/2013	158	Approved
Concomitant Medication	105	07/15/2015	20	11/15/2015	20	Approved
Imaging (Structural, fMRI, DTI, PET, microscopy)	492	07/31/2013	166	11/15/2013	166	Approved
EEG	230	02/28/2014	195	09/28/2018	195	Approved

Structure not yet defined

No Status history for this Data Expected has been recorded yet

helpcenter.collection.data-expected-tab

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Researchers who are starting their project need to update their Data Expected list to include all the Data Structures they are collecting under their grant and set their initial submission and sharing schedule according to the NDA Data Sharing Regimen.

To add existing Data Structures from the Data Dictionary, to request new Data Structure that are not in the Dictionary, or to request changes to existing Data Structures, click "+New Data Expected".

For step-by-step instructions on how to add existing Data Structures, request changes to an existing Structure, or request a new Data Structure, please visit the Completing Your Data Expected Tutorial.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

Frequently Asked Questions

What is an NDA Data Structure?

An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.
What is the NDA Data Dictionary?

The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

Analyzed Data

Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
Data Item

Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
Data Structure

A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
Data Structure Category

An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
Data Structure Group

A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
Evaluated Data

A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
Imaging Data

Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
Initial Share Date

Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
Initial Submission Date

Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
Research Subject and Pedigree

An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
Submission Cycle

The NDA has two Submission Cycles per year - January 15 and July 15.
Submission Exemption

An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

Contact NDA Help Desk

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.

Study NameFilter by Study Name	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
Examining the validity of the use of ratio IQs in psychological assessments	IQ tests are amongst the most used psychological assessments, both in research and clinical settings. For participants who cannot complete IQ tests normed for their age, ratio IQ scores (RIQ) are routinely computed and used as a proxy of IQ, especially in large research databases to avoid missing data points. However, because it has never been scientifically validated, this practice is questionable. In the era of big data, it is important to examine the validity of this widely used practice. In this paper, we use the case of autism to examine the differences between standard full-scale IQ (FSIQ) and RIQ. Data was extracted from four databases in which ages, FSIQ scores and subtests raw scores were available for autistic participants between 2 and 17 years old. The IQ tests included were the MSEL (N=12033), DAS-II early years (N=1270), DAS-II school age (N=2848), WISC-IV (N=471) and WISC-V (N=129). RIQs were computed for each participant as well as the discrepancy (DSC) between RIQ and FSIQ. We performed two linear regressions to respectively assess the effect of FSIQ and of age on the DSC for each IQ test, followed by additional analyses comparing age subgroups as well as FSIQ subgroups on DSC. Participants at the extremes of the FSIQ distribution tended to have a greater DSC than participants with average FSIQ. Furthermore, age significantly predicted the DSC, with RIQ superior to FSIQ for younger participants while the opposite was found for older participants. These results question the validity of this widely used alternative scoring method, especially for individuals at the extremes of the normal distribution, with whom RIQs are most often employed.	193/17423	Secondary Analysis	Shared
The importance of low IQ to early diagnosis of autism	Some individuals can flexibly adapt to life’s changing demands while others, in particular those with Autism Spectrum Disorder (ASD), find it challenging. The origin of early individual differences in cognitive abilities, the putative tools with which to navigate novel information in life, including in infants later diagnosed with ASD remains unexplored. Moreover, the role of intelligence quotient (IQ) vis-à-vis core features of autism remains debated. We systematically investigate the contribution of early IQ in future autism outcomes in an extremely large, population-based study of 8,000 newborns, infants, and toddlers from the US between 2 and 68 months with over 15,000 cross-sectional and longitudinal assessments, and for whom autism outcomes are ascertained or ruled out by about 2-4 years. This population is representative of subjects involved in the National Institutes of Health (NIH)-funded research, mainly on atypical development, in the US. Analyses using predetermined age bins showed that IQ scores are consistently lower in ASD relative to TD at all ages (p<0.001), and IQ significantly correlates with calibrated severity scores (total CSS, as well as non-verbal and verbal CSS) on the ADOS. Note, VIQ is no better than the full-scale IQ to predict ASD cases. These findings raise new, compelling questions about potential atypical brain circuitry affecting performance in both verbal and nonverbal abilities and that precede an ASD diagnosis. This study is the first to establish prospectively that low early IQ is a major feature of ASD in early childhood.	176/6323	Secondary Analysis	Shared
Examining Diagnostic Trends and Gender Differences in the ADOS-II	Approximately 3–4 boys for every girl meet the clinical criteria for autism in studies of community diagnostic patterns and studies of autism using samples of convenience. However, girls with autism have been hypothesized to be underdiagnosed, possibly because they may present with differing symptom profiles as compared to boys. This secondary data analysis used the National Database of Autism Research (NDAR) to examine how gender and symptom profiles are associated with one another in a gold standard assessment of autism symptoms, the Autism Diagnostic Observation Schedule II (ADOS-II; Lord, C., Luyster, R., Guthrie, W., & Pickles A. (2012a). Patterns of developmental trajectories in toddlers with autism spectrum disorder. Journal of Consulting and Clinical Psychology, 80(3):477–489. https://doi.org/10.1037/a0027214. Epub 2012 Apr 16. PMID: 22506796, PMCID: PMC3365612). ADOS-II scores from 6183 children ages 6–14 years from 78 different studies in the NDAR indicated that gender was a significant predictor of total algorithm, restrictive and repetitive behavioral, and social communicative difficulties composite severity scores. These findings suggest that gender differences in ADOS scores are common in many samples and may reflect on current diagnostic practices.	41/5615	Secondary Analysis	Shared
Gender Differences: Confirmatory Factor Analysis of the ADOS-II	Purpose Recent research has suggested that autism may present differently in girls compared to boys, encouraging the exploration of a sex-differential diagnostic criteria. Gender differences in diagnostic assessments have been shown on the ADOS-II, such that, on average, females score significantly lower than males on all scales and are less likely to show atypicality on most items related to social communicative difficulties. Yet, gender differences in the latent structure of instruments like the ADOS-II have not been examined systematically. Methods As such, this secondary data analysis examined 4,100 youth diagnosed with autism (Mage = 9.9, 813 female & 3287 male) examined item response trends by gender on the ADOS-II Module 3. Results Multi-Group Confirmatory Factor Analysis results show that the factor loadings of four ADOS-II items differ across the genders. One SCD item and one RRB item are strongly related to the latent factor in the female group, while two RRB items have larger factor loadings in the male group. Conclusion The assumption of an identical latent factor structure for the ADOS-II Module 3 for males and females might not be justifiable. Possible diagnostic implications are discussed.	41/5615	Secondary Analysis	Shared
Prognostic early snapshot stratification of autism based on adaptive functioning	A major goal of precision medicine is to predict prognosis based on individualized information at the earliest possible points in development. Using early snapshots of adaptive functioning and unsupervised data- driven discovery methods, we uncover highly stable early autism subtypes that yield information relevant to later prognosis. Data from the National Institute of Mental Health Data Archive (NDA) (n = 1,098) was used to uncover three early subtypes (<72 months) that generalize with 96% accuracy. Outcome data from NDA (n = 2,561; mean age, 13 years) also reproducibly clusters into three subtypes with 99% generalization accuracy. Early snapshot subtypes predict developmental trajectories in non-verbal cognitive, language and motor domains and are predictive of membership in different adaptive functioning outcome subtypes. Robust and prognosis- relevant subtyping of autism based on early snapshots of adaptive functioning may aid future research work via prediction of these subtypes with our reproducible stratification model.	70/3517	Secondary Analysis	Shared
Investigating autism etiology and heterogeneity by decision tree algorithm	Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causes deficits in cognition, communication and social skills. ASD, however, is a highly heterogeneous disorder. This heterogeneity has made identifying the etiology of ASD a particularly difficult challenge, as patients exhibit a wide spectrum of symptoms without any unifying genetic or environmental factors to account for the disorder. For better understanding of ASD, it is paramount to identify potential genetic and environmental risk factors that are comorbid with it. Identifying such factors is of great importance to determine potential causes for the disorder, and understand its heterogeneity. Existing large-scale datasets offer an opportunity for computer scientists to undertake this task by utilizing machine learning to reliably and efficiently obtain insight about potential ASD risk factors, which would in turn assist in guiding research in the field. In this study, decision tree algorithms were utilized to analyze related factors in datasets obtained from the National Database for Autism Research (NDAR) consisting of nearly 3000 individuals. We were able to identify 15 medical conditions that were highly associated with ASD diagnoses in patients; furthermore, we extended our analysis to the family medical history of patients and we report six potentially hereditary medical conditions associated with ASD. Associations reported had a 90% accuracy. Meanwhile, gender comparisons highlighted conditions that were unique to each gender and others that overlapped. Those findings were validated by the academic literature, thus opening the way for new directions for the use of decision tree algorithms to further understand the etiology of autism.	38/3382	Secondary Analysis	Shared
Imbalanced social-communicative and restricted repetitive behavior subtypes in autism spectrum disorder exhibit different neural circuitry	Social-communication (SC) and restricted repetitive behaviors (RRB) are autism diagnostic symptom domains. SC and RRB severity can markedly differ within and between individuals and may be underpinned by different neural circuitry and genetic mechanisms. Modeling SC-RRB balance could help identify how neural circuitry and genetic mechanisms map onto such phenotypic heterogeneity. Here, we developed a phenotypic stratification model that makes highly accurate (97–99%) out-of-sample SC = RRB, SC > RRB, and RRB > SC subtype predictions. Applying this model to resting state fMRI data from the EU-AIMS LEAP dataset (n = 509), we find that while the phenotypic subtypes share many commonalities in terms of intrinsic functional connectivity, they also show replicable differences within some networks compared to a typically-developing group (TD). Specifically, the somatomotor network is hypoconnected with perisylvian circuitry in SC > RRB and visual association circuitry in SC = RRB. The SC = RRB subtype show hyperconnectivity between medial motor and anterior salience circuitry. Genes that are highly expressed within these networks show a differential enrichment pattern with known autism-associated genes, indicating that such circuits are affected by differing autism-associated genomic mechanisms. These results suggest that SC-RRB imbalance subtypes share many commonalities, but also express subtle differences in functional neural circuitry and the genomic underpinnings behind such circuitry.	60/1708	Secondary Analysis	Shared
Investigating possible biomarkers of autism in resting EEG	There are no clinically useful biomarkers of autism spectrum disorder (ASD). Electroencephalogram (EEG) can measure ongoing brain dynamics using cheap and widely available technology and is minimally invasive. As such, any measurement drived from EEG that is capable of serving as a biomarker for ASD would be hugely beneficial. Previous research has been conflicting and a large list of EEG measures have been suggested.	129/771	Secondary Analysis	Shared
Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings	Females with autism spectrum disorder (ASD) have been long overlooked in neuroscience research, but emerging evidence suggests they show distinct phenotypic trajectories and age-related brain differences. Sex-related biological factors (e.g., hormones, genes) may play a role in ASD etiology and have been shown to influence neurodevelopmental trajectories. Thus, a lifespan approach is warranted to understand brain-based sex differences in ASD. This systematic review on MRI-based sex differences in ASD was conducted to elucidate variations across the lifespan and inform biomarker discovery of ASD in females. We identified articles through two database searches. Fifty studies met criteria and underwent integrative review. We found that regions expressing replicable sex-by-diagnosis differences across studies overlapped with regions showing sex differences in neurotypical (NT) cohorts, in particular regions showing NT male>female volumes. Furthermore, studies investigating age-related brain differences across a broad age-span suggest distinct neurodevelopmental patterns in females with ASD. Qualitative comparison across youth and adult studies also supported this hypothesis. However, many studies collapsed across age, which may mask differences. Furthermore, accumulating evidence supports the female protective effect in ASD, although only one study examined brain circuits implicated in “protection.” When synthesized with the broader literature, brain-based sex differences in ASD may come from various sources, including genetic and endocrine processes involved in brain “masculinization” and “feminization” across early development, puberty, and other lifespan windows of hormonal transition. Furthermore, sex-related biology may interact with peripheral processes, in particular the stress axis and brain arousal system, to produce distinct neurodevelopmental patterns in males and females with ASD. Future research on neuroimaging-based sex differences in ASD would benefit from a lifespan approach in well-controlled and multivariate studies. Possible relationships between behavior, sex hormones, and brain development in ASD remain largely unexamined.	162/759	Secondary Analysis	Shared
Combining Gaze and Demographic Feature Descriptors for Autism Classification	People with autism suffer from social challenges and communication difficulties, which may prevent them from leading a fruitful and enjoyable life. It is imperative to diagnose and start treatments for autism as early as possible and, in order to do so, accurate methods of identifying the disorder are vital. We propose a novel method for classifying autism through the use of eye gaze and demographic feature descriptors that include a subject’s age and gender. We construct feature descriptors that incorporate the subject’s age and gender, as well as features based on eye gaze data. Using eye gaze information from the National Database for Autism Research, we tested our constructed feature descriptors on three different classifiers; random regression forests, C4.5 decision tree, and PART. Our proposed method for classifying autism resulted in a top classification rate of 96.2%.	162/756	Secondary Analysis	Shared
Development of EEG dynamics throughout the lifespan	Combining data from across several datasets available on the NIMH data repository, multiple metrics of EEG dynamics were examined in a large cross sectional sample of healthy participants from across the lifespan. The goal was to examine changes in brain dynamics that occur across development.	54/551	Secondary Analysis	Shared
Derivation of Quality Measures for Time-Series Images by Neuroimaging Pipelines	Using the National Database for Autism Research cloud platform, MRI data were analyzed using neuroimaging pipelines that included packages available as part of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) Computational Environment to derive standardized measures of MR image quality. Time series QA was performed according to Friedman, et al. (http://www.ncbi.nlm.nih.gov/pubmed/16952468) providing values for Signal to Noise Ratio that can be compared to other subjects.	41/356	Secondary Analysis	Shared
comparing EEG metrics during eyes closed versus eyes open rest in autism	Understanding the complex relationship between brain dynamics and mental disorders has proved difficult. Sample sizes have often been small, and brain dynamics have often been evaluated in only one state. Here, data obtained from the NIMH data archive were used to create a sample of 395 individuals with both eyes open and eyes closed resting state EEG data. All data were submitted to a standard pipeline to extract power spectra, peak alpha frequency, the slope of the 1/f curve, multi scale sample entropy, phase amplitude coupling, and intersite phase clustering. These data along with the survey data collected at the time of data collection form a valuable resource for interogating the relationship between brain state changes and autism diagnosis.	1/336	Secondary Analysis	Shared
Word Learning and Word Features	Vocabulary composition and word-learning biases are closely interrelated in typical development. Learning new words involves attending to certain properties to facilitate word learning. Such word-learning biases are influenced by perceptually and conceptually salient word features, including high imageability, concreteness, and iconicity. This study examined the association of vocabulary knowledge and word features in young children with ASD (n = 280) and typically developing (TD) toddlers (n = 1,054). Secondary analyses were conducted using data from the National Database for Autism Research and the Wordbank database. Expressive vocabulary was measured using the MacArthur-Bates Communicative Development Inventory. Although the trajectories for concreteness, iconicity, and imageability are similar between children with ASD and TD toddlers, divergences were observed. Differences in imageability are seen early but resolve to a common trajectory; differences in iconicity are small but consistent; and differences in concreteness only emerge after both groups reach a simultaneous peak, before converging again. This study reports unique information about the nonlinear growth patterns associated with each word feature for and distinctions in these growth patterns between the groups.	24/280	Primary Analysis	Shared
Examining the Shape Bias in Young Autistic Children: A Vocabulary Composition Analysis	Shape is a salient object property and one of the first that children use to categorize objects under one label. Colunga and Sims (2017) suggest that noun vocabulary composition and word learning biases are closely interrelated in typical development. The current study examined the association between noun vocabulary knowledge and perceptual word features, specifically shape and material features. Participants included 249 autistic children and 1,245 non-autistic toddlers who were matched on expressive noun vocabulary size and gender. Nouns were categorized using the Samuelson and Smith (1999) noun feature database. A simple group comparison revealed no group differences in shape bias; both groups evidenced developing noun vocabularies that favored shape+solid and nonsolid+material nouns. However, the trajectory of evidence of shape bias as a function of vocabulary size differed between the groups, with autistic children demonstrating a reduced shape-bias initially. Future work should examine how children’s learning biases shift over development and whether the shape bias promotes lexical development to the same degree across groups.	23/249	Secondary Analysis	Shared
Modeling Vocabulary Growth in Autistic and Non-Autistic Children	We assessed the goodness of fit of three models of vocabulary growth, with varying sensitivity to the structure of the environment and the learner’s internal state, to estimated vocabulary growth trajectories in autistic and non-autistic children. We first computed word-level acquisition norms that indicate the vocabulary size at which individual words tend to be learned by each group. We then evaluated how well network growth models based on natural language co-occurrence structure and word associations account for variance in the autistic and non-autistic acquisition norms. In addition to replicating key observations from prior work and observing that the growth models explained similar amounts of variance in each group, we found that autistic vocabulary growth also exhibits growth consistent with “the lure of the associates” model. Thus, both groups leverage semantic structure in the learning environment for vocabulary development, but autistic vocabulary growth is also strongly influenced by existing vocabulary knowledge.	23/247	Secondary Analysis	Shared
Semantic modeling 2023	Although it is well documented that children with ASD are slower to develop their lexicons, we still have a limited understanding of the structure of early lexical knowledge in children with ASD. The current study uses network analysis and differential item functioning anlaysis to examine the structure of semantic knowledge, which may provide insight into the learning processes that influence early word learning.	20/208	Secondary Analysis	Shared
Semantic Network Modeling	Although it is well documented that children with ASD are slower to develop their lexicons, we still have a limited understanding of the structure of early lexical knowledge in children with ASD. The current study uses network analysis to examine the structure of semantic knowledge, which may provide insight into the learning processes that influence early word learning.	20/200	Secondary Analysis	Shared
Semantic Network Modeling in Young Autistic Children	Background: Most young autistic children have delayed vocabulary growth relative to their non-autistic peers. Additionally, previous studies have revealed that autistic children are less likely to encode associated features of novel objects, suggesting inefficient encoding or different processes for acquiring semantic information about words. Recent network analyses of vocabulary growth revealed important relationships between early vocabulary acquisition and the structure of the sematic environment. Methods: We studied the expressive vocabularies of 970 non-autistic toddlers (Mage = 20.82 months) and 194 autistic children (Mage = 54.58 months) in two studies. The groups were vocabulary-matched (words produced: MAutistic = 213.60, MNon-autistic = 213.72). In study 1, we estimated their trajectories of semantic development using network analyses. Network structure was based on child-oriented adult-generated word associations. We compared child semantic networks according to indegree, average shortest path length, and clustering coefficient (features that holistically contribute to well-connected network structure). Then, in study 2, we attempted to relate vocabulary-level effects to word-level learning biases. Results: Study 1 revealed that autistic and non-autistic children are sensitive to the structure of their semantic environment. Both groups demonstrated nonlinear vocabulary trajectories that differed from random acquisition networks. Despite similarities, group differences were observed for each network metric. Differences were most pronounced for clustering coefficient (how closely connected groups of words are), with earlier peaks for autistic children. Study 2 demonstrated that many words differ in their expected vocabulary size of acquisition. Conclusions: Group differences at the vocabulary- and word-levels indicate that, although autistic children are learning from their semantic environment, they may be processing their semantic environment differently. These deviations indicate that autistic children have distinctive learning biases that may align with core autism features.	20/194	Secondary Analysis	Shared
Cortico-Basal Ganglia Brain Structure and Links to Restricted, Repetitive Behavior in Autism Spectrum Disorder	Restricted repetitive behavior (RRB) is one of two criteria domains required for the diagnosis of autism spectrum disorder (ASD). Neuroimaging is widely used to study brain alterations associated with ASD and the domain of social and communication deficits, but there has been less work regarding alterations associated with RRB. In this study we utilized neuroimaging data available from the National Database for Autism Research to assess volume in the basal ganglia and cerebellum, as well as microstructure in basal ganglia and cerebellar white matter tracts in ASD. We also investigated whether these measures differed between males and females with ASD, and how these factors correlated with clinical measures of RRB from the same individuals. We found that individuals with ASD had significant differences in free-water corrected fractional anisotropy (FAT) and free-water in cortico-basal ganglia white matter tracts, but that these measures did not differ between males versus females with ASD. Moreover, both FAT and free-water in these tracts were significantly correlated with measures of RRB. Despite no differences in volumetric measures in basal ganglia and cerebellum, these findings suggest the links between RRB and brain structure are within specific cortico-basal ganglia white matter tracts.	4/192	Secondary Analysis	Shared
Early Detection of Autism Spectrum Disorder Using Non-Invasive EEG	The Autistic Spectrum Disorder (ASD) is a neurodevelopmental disorder that has been increasingly diagnosed in children. Symptoms are commonly noticed in childhood and include impairments in communication and social interaction. Anticipating the diagnosis to before the onset of symptoms would allow different therapies to be started without compromising the child’s development. Hence, several studies have searched for ASD biomarkers using non-invasive electroencephalography (EEG), a low-cost technique, using different strategies. In this scenario, this work compares different machine learning techniques to automatically identify the ASD from the EEG records. In addition, an analysis of possible biomarkers will be performed to assist in early diagnosis.	181/181	Secondary Analysis	Shared
Inflexible neurobiological signatures precede atypical development in infants at high risk for autism	Variability in neurobiological signatures is ubiquitous in early life but the link to adverse developmental milestones in humans is unknown. We examined how levels of signal and noise in movement signatures during the 1st year of life constrain early development in 71 healthy typically developing infants, either at High or Low familial Risk (HR or LR, respectively) for developing Autism Spectrum Disorders (ASD). Delays in early learning developmental trajectories in HR infants (validated in an analysis of 1,445 infants from representative infant-sibling studies) were predicted by worse stochastic patterns in their spontaneous head movements as early as 1–2 months after birth, relative to HR infants who showed more rapid developmental progress, as well as relative to all LR infants. While LR 1–2 mo-old infants’ movements were significantly different during a language listening task compared to during sleep, HR infants’ movements were more similar during both conditions, a striking lack of diversity that reveals context-inflexible experience of ambient information. Contrary to expectation, it is not the level of variability per se that is particularly detrimental in early life. Rather, inflexible sensorimotor systems and/or atypical transition between behavioral states may interfere with the establishment of capacity to extract structure and important cues from sensory input at birth, preceding and contributing to an atypical brain developmental trajectory in toddlerhood.	70/70	Secondary Analysis	Shared
Genetic vulnerability of exposures to antenatal maternal treatments in 1-2 mo-old infants	The growth and maturation of the nervous system is vulnerable during pregnancy. The impact of antenatal exposures to maternal treatments in the context of genetic vulnerability of the fetus, on sensorimotor functioning in early infancy, remains unexplored. Statistical features of head movements obtained from resting-state sleep fMRI scans are examined in 1-2 month-old infants, both at high risk (HR) for Autism Spectrum Disorder (ASD) due to a biological sibling with ASD and at low risk (LR) (N=56). In utero exposures include maternal prescription medications (psychotropic Rx: N=3HR;N=5LR vs. non-psychotropic Rx: N=11HR;N=9LR vs. none: N=11HR;N=16LR), psychiatric diagnoses (two or more Dx2: N=5HR;N=1LR;one Dx1: N=4HR; N=5LR;no Dx: N=12HR; N=20LR), infections requiring antibiotics (infection: N=5HR; N=8LR; no infection: N=20HR; N=22LR), or high fever (fever:N=2HR;N=2LR; no fever:N=23HR;N=27LR). Movements with significantly higher variability are detected in infants exposed to psychotropics (e.g.opioid analgesics) and those whose mothers had fever, and this effect is significantly worse for infants at HR for ASD. Movements are significantly less variable in HR infants with non-psychotropic exposures (e.g.antibiotics). Heightened number of psychiatric or mental health conditions is associated with noisier movements in both risk groups. Genetic vulnerability due to in utero exposure to maternal treatments is an important future approach to be advanced in the field of early mind and brain development.	56/56	Secondary Analysis	Shared
Altered Salience Network Connectivity in 6-Week-Old Infants at Risk for Autism	Converging evidence implicates disrupted brain connectivity in autism spectrum disorder (ASD); however, the mechanisms linking altered connectivity early in development to the emergence of ASD symptomatology remain poorly understood. Here we examined whether atypicalities in the Salience Network (SN) – an early-emerging neural network involved in orienting attention to the most salient aspects of one’s internal and external environment – may predict the development of ASD markers such as reduced social attention and atypical sensory processing. Six-week-old infants at high-risk for ASD exhibited stronger SN connectivity with sensorimotor regions; low-risk infants demonstrated stronger SN connectivity with prefrontal regions involved in social attention. Infants with higher connectivity with sensorimotor regions had lower connectivity with prefrontal regions, suggesting a direct tradeoff between attention to basic sensory versus socially-relevant information. Early alterations in SN connectivity predicted subsequent ASD symptomatology, providing a plausible mechanistic account for the unfolding of atypical developmental trajectories associated with ASD risk.	53/53	Primary Analysis	Shared
Failure to attune to language predicts autism in high risk infants	Young humans are typically sensitive to evolutionarily important aspects of information in the surrounding environment in a way that makes us thrive. Seeking to probe the putative disruptions of this process in infancy, I examined the statistical character of head movements in 52 9–10 mo-old infants, half at high familial risk (HR) for Autism Spectrum Disorders (ASD), who underwent an fMRI scan while listening to words spoken with alternating stress patterns on syllables. Relative to low risk (LR) infants, HR infants, in particular those showing the least rapid receptive language progress, had significantly lower noise-to-signal levels and increased symmetry. A comparison of patterns during a native language and a sleep scan revealed the most atypical ordering of signatures on the 3 tasks in a subset of HR infants, suggesting that the biological mechanism of language development is least acquisitive in those HR infants who go on to develop ASD in toddlerhood.	52/52	Secondary Analysis	Shared

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Collection - Associated Studies

Clicking on the Study Title will open the study details in a new internet browser tab. The Abstract is available for viewing, providing the background explanation of the study, as provided by the Collection Owner.

Primary v. Secondary Analysis: The Data Usage column will have one of these two choices. An associated study that is listed as being used for Primary Analysis indicates at least some and potentially all of the data used was originally collected by the creator of the NDA Study. Secondary Analysis indicates the Study owner was not involved in the collection of data, and may be used as supporting data.

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