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
131	Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1	Eye Tracking	02/27/2014
132	Jeste Lab UCLA ACEii: Animacy - Project 1	Eye Tracking	02/27/2014
133	Jeste Lab UCLA ACEii: Mom Stranger - Project 2	Eye Tracking	02/27/2014
134	Jeste Lab UCLA ACEii: Face Emotion - Project 3	Eye Tracking	02/27/2014
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

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

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Targeted Enrollment:

Initial Submission Date:

Initial Share Date:

Data Structure Search:

Data Structures:

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Request Submission Exemption

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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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Early Brain Development in Twins #2384

General
Experiments (1)
Shared Data
Publications (58)
Data Expected (6)
Associated Studies (3)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Early Brain Development in Twins
Collection Investigators:	John Gilmore
Collection Description:	Twin studies have provided fundamental information about how genes and environment contribute to individual differences in brain structure and cognitive function in health and psychiatric disease and how these influences change during development. Previous twin studies in older children, adolescents and adults indicate that genetic and environmental influences are region/structure specific and change with age. Early childhood is period of rapid structural and functional brain development that is implicated in the pathogenesis of many psychiatric disorders. Therefore, there is a critical need to understand the role of genetic and environmental contributions to brain structure and function in this crucial period of development. The Early Brain Development in Twins study has been the first, and to our knowledge the only, twin study of early childhood brain development. To date we have enrolled and studied over 275 twin pairs, at birth, 1, 2, 4, and 6 years and provided novel and previously unknown information about genetic and environmental influences on brain development in early childhood. In the next funding cycle, we propose to complete our twin study of early childhood brain development by following the current cohort to age 6. MRIs, including structural, diffusion tensor, and resting state functional imaging, will be done at ages 2, 4, and 6 years. Cognitive development, including RDoC constructs of language and working memory will be assessed. Additional innovations for this funding cycle include the application of a recently developed methodology for delineating cortical thickness and surface area in very young children, and the addition of resting state fMRI. Knowledge gained in this study will improve our basic understanding of human brain development, allow us to determine how modifiable abnormal developmental trajectories associated with risk for psychiatric disease may be, and help us determine when in development early interventions would have the greatest impact.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	06/01/2016
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$1,422,158.00
Subjects Shared:	547

{"values":[]}

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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
U01MH070890-11	Early Brain Development in Twins	07/01/2015	06/30/2020	0	296	UNIV OF NORTH CAROLINA CHAPEL HILL	$1,422,158.00

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
2006	Resting State fMRI	05/13/2022	Approved	fMRI

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
BASC Parent Rating Scale Child	Clinical Assessments	254
BASC Parent Rating Scale Preschool	Clinical Assessments	214
BASC Self Report Child	Clinical Assessments	254
BRIEF-Parent	Clinical Assessments	243
BRIEF-Preschool	Clinical Assessments	216
Image	Imaging	487
Mullen Scales of Early Learning	Clinical Assessments	427
Research Subject	Clinical Assessments	546
Stanford-Binet Intelligence Scales, Fifth Edition (SB5)	Clinical Assessments	292

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
37996530	Create Study	A global multicohort study to map subcortical brain development and cognition in infancy and early childhood.	Nature neuroscience	Alex, Ann M; Aguate, Fernando; Botteron, Kelly; Buss, Claudia; Chong, Yap-Seng; Dager, Stephen R; Donald, Kirsten A; Entringer, Sonja; Fair, Damien A; Fortier, Marielle V; Gaab, Nadine; Gilmore, John H; Girault, Jessica B; Graham, Alice M; Groenewold, Nynke A; Hazlett, Heather; Lin, Weili; Meaney, Michael J; Piven, Joseph; Qiu, Anqi; Rasmussen, Jerod M; Roos, Annerine; Schultz, Robert T; Skeide, Michael A; Stein, Dan J; Styner, Martin; Thompson, Paul M; Turesky, Ted K; Wadhwa, Pathik D; Zar, Heather J; Zöllei, Lilla; de Los Campos, Gustavo; Knickmeyer, Rebecca C; ENIGMA ORIGINs group	January 1, 2024	Not Determined
37369585	Create Study	Mapping Genetic Topography of Cortical Thickness and Surface Area in Neonatal Brains.	The Journal of neuroscience : the official journal of the Society for Neuroscience	Huang, Ying; Wu, Zhengwang; Li, Tengfei; Wang, Xifeng; Wang, Ya; Xing, Lei; Zhu, Hongtu; Lin, Weili; Wang, Li; Guo, Lei; Gilmore, John H; Li, Gang	August 23, 2023	Not Determined
36190430	Create Study	Genetic and environmental factors influencing neonatal resting-state functional connectivity.	Cerebral cortex (New York, N.Y. : 1991)	Blanchett, Reid; Chen, Yuanyuan; Aguate, Fernando; Xia, Kai; Cornea, Emil; Burt, S Alexandra; de Los Campos, Gustavo; Gao, Wei; Gilmore, John H; Knickmeyer, Rebecca C	April 4, 2023	Not Determined
33518826	Create Study	Canonical correlation analysis for elliptical copulas.	Journal of multivariate analysis	Langworthy, Benjamin W; Stephens, Rebecca L; Gilmore, John H; Fine, Jason P	May 1, 2021	Not Determined
33107801	Create Study	Subdural Hemorrhage in Asymptomatic Neonates: Neurodevelopmental Outcomes and MRI Findings at 2 Years.	Radiology	Zamora, Carlos; Sams, Cassandra; Cornea, Emil A; Yuan, Zhenhua; Smith, J Keith; Gilmore, John H	January 1, 2021	Not Determined
32741702	Create Study	Individual Variation of Human Cortical Structure Is Established in the First Year of Life.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Gilmore, John H; Langworthy, Benjamin; Girault, Jessica B; Fine, Jason; Jha, Shaili C; Kim, Sun Hyung; Cornea, Emil; Styner, Martin	October 1, 2020	Not Determined
32457022	Create Study	Extra-axial Cerebrospinal Fluid Relationships to Infant Brain Structure, Cognitive Development, and Risk for Schizophrenia.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Murphy, Veronica A; Shen, Mark D; Kim, Sun Hyung; Cornea, Emil; Styner, Martin; Gilmore, John H	July 2020	Not Determined
31983868	Create Study	Entropy-based Correspondence Improvement of Interpolated Skeletal Models.	Computer vision and image understanding : CVIU	Tu L, Vicory J, Elhabian S, Paniagua B, Prieto JC, Damon JN, Whitaker R, Styner M, Pizer SM	October 2016	Not Determined
31938450	Create Study	CORTICAL FOLDINGPRINTS FOR INFANT IDENTIFICATION.	Proceedings. IEEE International Symposium on Biomedical Imaging	Duan, Dingna; Xia, Shunren; Wu, Zhengwang; Wang, Fan; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang; Li, Gang	April 1, 2019	Not Determined
31930620	Create Study	Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins.	Human brain mapping	Duan, Dingna; Xia, Shunren; Rekik, Islem; Wu, Zhengwang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang; Li, Gang	June 2020	Not Determined
31681457	Create Study	A PRELIMINARY VOLUMETRIC MRI STUDY OF AMYGDALA AND HIPPOCAMPAL SUBFIELDS IN AUTISM DURING INFANCY.	Proceedings. IEEE International Symposium on Biomedical Imaging	Li, Guannan; Chen, Meng-Hsiang; Li, Gang; Wu, Di; Sun, Quansen; Shen, Dinggang; Wang, Li	April 1, 2019	Not Determined
31520254	Create Study	Individual differences in neonatal white matter are associated with executive function at 3 years of age.	Brain structure & function	Short, Sarah J; Willoughby, Michael T; Camerota, Marie; Stephens, Rebecca L; Steiner, Rachel J; Styner, Martin; Gilmore, John H	December 2019	Not Determined
31402834	Create Study	Fitting Skeletal Object Models Using Spherical Harmonics Based Template Warping.	IEEE signal processing letters	Tu, Liyun; Yang, Dan; Vicory, Jared; Zhang, Xiaohong; Pizer, Stephen M; Styner, Martin	December 2015	Not Determined
31057192	Create Study	FSEM: Functional Structural Equation Models for Twin Functional Data.	Journal of the American Statistical Association	Luo S, Song R, Styner M, Gilmore JH, Zhu H	January 2019	Not Determined
30835215	Create Study	Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.	IEEE transactions on medical imaging	Wang, Li; Nie, Dong; Li, Guannan; Puybareau, Elodie; Dolz, Jose; Zhang, Qian; Wang, Fan; Xia, Jing; Wu, Zhengwang; Chen, Jiawei; Thung, Kim-Han; Bui, Toan Duc; Shin, Jitae; Zeng, Guodong; Zheng, Guoyan; Fonov, Vladimir S; Doyle, Andrew; Xu, Yongchao; Moeskops, Pim; Pluim, Josien P W; Desrosiers, Christian; Ayed, Ismail Ben; Sanroma, Gerard; Benkarim, Oualid M; Casamitjana, Adria; Vilaplana, Veronica; Lin, Weili; Li, Gang; Shen, Dinggang	February 2019	Not Determined
30825656	Create Study	White matter connectomes at birth accurately predict cognitive abilities at age 2.	NeuroImage	Girault JB, Munsell BC, Puechmaille D, Goldman BD, Prieto JC, Styner M, Gilmore JH	May 2019	Not Determined
30604186	Create Study	Gut microbiome and brain functional connectivity in infants-a preliminary study focusing on the amygdala.	Psychopharmacology	Gao, Wei; Salzwedel, Andrew P; Carlson, Alexander L; Xia, Kai; Azcarate-Peril, M Andrea; Styner, Martin A; Thompson, Amanda L; Geng, Xiujuan; Goldman, Barbara D; Gilmore, John H; Knickmeyer, Rebecca C	May 1, 2019	Not Determined
30450494	Create Study	Early Diagnosis of Autism Disease by Multi-channel CNNs.	Machine learning in medical imaging. MLMI (Workshop)	Li, Guannan; Liu, Mingxia; Sun, Quansen; Shen, Dinggang; Wang, Li	September 2018	Not Determined
30381806	Create Study	Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.	Machine learning in medical imaging. MLMI (Workshop)	Chen, Jiawei; Zhang, Han; Nie, Dong; Wang, Li; Li, Gang; Lin, Weili; Shen, Dinggang	September 1, 2018	Not Determined
30368980	Create Study	Quantitative tract-based white matter heritability in 1- and 2-year-old twins.	Human brain mapping	Lee, Seung Jae; Zhang, Jingwen; Neale, Michael C; Styner, Martin; Zhu, Hongtu; Gilmore, John H	March 2019	Not Determined
30353962	Create Study	White matter microstructural development and cognitive ability in the first 2 years of life.	Human brain mapping	Girault, Jessica B; Cornea, Emil; Goldman, Barbara D; Knickmeyer, Rebecca C; Styner, Martin; Gilmore, John H	March 2019	Not Determined
30333714	Create Study	Verbal and nonverbal predictors of executive function in early childhood.	Journal of cognition and development : official journal of the Cognitive Development Society	Stephens, Rebecca L; Langworthy, Benjamin; Short, Sarah J; Goldman, Barbara D; Girault, Jessica B; Fine, Jason P; Reznick, J Steven; Gilmore, John H	January 2018	Not Determined
30270948	Create Study	The Predictive Value of Developmental Assessments at 1 and 2 for Intelligence Quotients at 6.	Intelligence	Girault, Jessica B; Langworthy, Benjamin W; Goldman, Barbara D; Stephens, Rebecca L; Cornea, Emil; Reznick, J Steven; Fine, Jason; Gilmore, John H	May 2018	Not Determined
30144223	Create Study	Genetic influences on neonatal cortical thickness and surface area.	Human brain mapping	Jha, Shaili C; Xia, Kai; Schmitt, James Eric; Ahn, Mihye; Girault, Jessica B; Murphy, Veronica A; Li, Gang; Wang, Li; Shen, Dinggang; Zou, Fei; Zhu, Hongtu; Styner, Martin; Knickmeyer, Rebecca C; Gilmore, John H	December 2018	Not Determined
30130646	Create Study	Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.	NeuroImage	Duan, Dingna; Xia, Shunren; Rekik, Islem; Meng, Yu; Wu, Zhengwang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang; Li, Gang	January 2019	Not Determined
29994385	Create Study	3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.	IEEE transactions on cybernetics	Nie, Dong; Wang, Li; Adeli, Ehsan; Lao, Cuijin; Lin, Weili; Shen, Dinggang	March 2019	Not Determined
29990689	Create Study	A cortical shape-adaptive approach to local gyrification index.	Medical image analysis	Lyu, Ilwoo; Kim, Sun Hyung; Girault, Jessica B; Gilmore, John H; Styner, Martin A	August 2018	Not Determined
29700891	Create Study	Discovering cortical sulcal folding patterns in neonates using large-scale dataset.	Human brain mapping	Meng, Yu; Li, Gang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang	September 2018	Not Determined
29673965	Create Study	A review on neuroimaging studies of genetic and environmental influences on early brain development.	NeuroImage	Gao, Wei; Grewen, Karen; Knickmeyer, Rebecca C; Qiu, Anqi; Salzwedel, Andrew; Lin, Weili; Gilmore, John H	January 2019	Not Determined
29574734	Create Study	Commentary: The neonatal brain and the challenge of imaging biomarkers, reflections on Batalle et al. (2018).	Journal of child psychology and psychiatry, and allied disciplines	Gilmore, John H	April 1, 2018	Not Determined
29516625	Create Study	Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism.	Human brain mapping	Wang, Li; Li, Gang; Adeli, Ehsan; Liu, Mingxia; Wu, Zhengwang; Meng, Yu; Lin, Weili; Shen, Dinggang	June 2018	Not Determined
29449712	Create Study	Imaging structural and functional brain development in early childhood.	Nature reviews. Neuroscience	Gilmore, John H; Knickmeyer, Rebecca C; Gao, Wei	February 2018	Not Determined
29420697	Create Study	Environmental Influences on Infant Cortical Thickness and Surface Area.	Cerebral cortex (New York, N.Y. : 1991)	Jha, Shaili C; Xia, Kai; Ahn, Mihye; Girault, Jessica B; Li, Gang; Wang, Li; Shen, Dinggang; Zou, Fei; Zhu, Hongtu; Styner, Martin; Gilmore, John H; Knickmeyer, Rebecca C	March 2019	Not Determined
29332985	Create Study	CIVILITY: Cloud based Interactive Visualization of Tractography Brain Connectome.	Proceedings of SPIE--the International Society for Optical Engineering	Puechmaille, Danaële; Styner, Martin; Prieto, Juan C	March 2017	Not Determined
29332984	Create Study	White Matter Fiber-based Analysis of T1w/T2w Ratio Map.	Proceedings of SPIE--the International Society for Optical Engineering	Chen, Haiwei; Budin, Francois; Noel, Jean; Prieto, Juan Carlos; Gilmore, John; Rasmussen, Jerod; Wadhwa, Pathik D; Entringer, Sonja; Buss, Claudia; Styner, Martin	February 2017	Not Determined
28945591	Create Study	Skeletal Shape Correspondence Through Entropy.	IEEE transactions on medical imaging	Tu, Liyun; Styner, Martin; Vicory, Jared; Elhabian, Shireen; Wang, Rui; Hong, Junpyo; Paniagua, Beatriz; Prieto, Juan C; Yang, Dan; Whitaker, Ross; Pizer, Stephen M	January 2018	Not Determined
28902466	Create Study	Learning-based deformable registration for infant MRI by integrating random forest with auto-context model.	Medical physics	Wei, Lifang; Cao, Xiaohuan; Wang, Zhensong; Gao, Yaozong; Hu, Shunbo; Wang, Li; Wu, Guorong; Shen, Dinggang	December 2017	Not Determined
28793975	Create Study	Infant Gut Microbiome Associated With Cognitive Development.	Biological psychiatry	Carlson, Alexander L; Xia, Kai; Azcarate-Peril, M Andrea; Goldman, Barbara D; Ahn, Mihye; Styner, Martin A; Thompson, Amanda L; Geng, Xiujuan; Gilmore, John H; Knickmeyer, Rebecca C	January 2018	Not Determined
28763065	Create Study	Genome-wide association analysis identifies common variants influencing infant brain volumes.	Translational psychiatry	Xia, K; Zhang, J; Ahn, M; Jha, S; Crowley, J J; Szatkiewicz, J; Li, T; Zou, F; Zhu, H; Hibar, D; Thompson, P; ENIGMA Consortium; Sullivan, P F; Styner, M; Gilmore, J H; Knickmeyer, R C	August 2017	Relevant
28284800	Create Study	Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.	NeuroImage	Rekik, Islem; Li, Gang; Yap, Pew-Thian; Chen, Geng; Lin, Weili; Shen, Dinggang	May 15, 2017	Not Relevant
28119564	Create Study	UNC-Emory Infant Atlases for Macaque Brain Image Analysis: Postnatal Brain Development through 12 Months.	Frontiers in neuroscience	Shi, Yundi; Budin, Francois; Yapuncich, Eva; Rumple, Ashley; Young, Jeffrey T; Payne, Christa; Zhang, Xiaodong; Hu, Xiaoping; Godfrey, Jodi; Howell, Brittany; Sanchez, Mar M; Styner, Martin A	January 2016	Not Relevant
28102945	Create Study	Learning-based deformable image registration for infant MR images in the first year of life.	Medical physics	Hu, Shunbo; Wei, Lifang; Gao, Yaozong; Guo, Yanrong; Wu, Guorong; Shen, Dinggang	January 2017	Not Relevant
27994134	Create Study	Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y.	Proceedings of the National Academy of Sciences of the United States of America	Lee, Seung Jae; Steiner, Rachel J; Yu, Yang; Short, Sarah J; Neale, Michael C; Styner, Martin Andreas; Zhu, Hongtu; Gilmore, John H	January 2017	Relevant
27908163	Create Study	Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.	Medical physics	Deng, Minghui; Yu, Renping; Wang, Li; Shi, Feng; Yap, Pew-Thian; Shen, Dinggang; Alzheimer’s Disease Neuroimaging Initiative	December 2016	Not Determined
27797836	Create Study	Impact of Demographic and Obstetric Factors on Infant Brain Volumes: A Population Neuroscience Study.	Cerebral cortex (New York, N.Y. : 1991)	Knickmeyer, Rebecca C; Xia, Kai; Lu, Zhaohua; Ahn, Mihye; Jha, Shaili C; Zou, Fei; Zhu, Hongtu; Styner, Martin; Gilmore, John H	December 2017	Not Relevant
27739634	Create Study	Twin-singleton developmental study of brain white matter anatomy.	Human brain mapping	Sadeghi, Neda; Gilmore, John H; Gerig, Guido	February 2017	Not Determined
27380969	Create Study	Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.	Human brain mapping	Meng Y, Li G, Gao Y, Lin W, Shen D	November 2016	Not Relevant
27254086	Create Study	Antenatal depression, treatment with selective serotonin reuptake inhibitors, and neonatal brain structure: A propensity-matched cohort study.	Psychiatry research. Neuroimaging	Jha, Shaili C; Meltzer-Brody, Samantha; Steiner, Rachel J; Cornea, Emil; Woolson, Sandra; Ahn, Mihye; Verde, Audrey R; Hamer, Robert M; Zhu, Hongtu; Styner, Martin; Gilmore, John H; Knickmeyer, Rebecca C	July 2016	Not Determined
27187939	Create Study	Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.	IEEE transactions on bio-medical engineering	Wang, Yan; Ma, Guangkai; An, Le; Shi, Feng; Zhang, Pei; Lalush, David S; Wu, Xi; Pu, Yifei; Zhou, Jiliu; Shen, Dinggang	March 2017	Not Relevant
27138207	Create Study	Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces.	NeuroImage	Rekik, Islem; Li, Gang; Lin, Weili; Shen, Dinggang	July 2016	Not Relevant
27065227	Create Study	Autotract: Automatic cleaning and tracking of fibers.	Proceedings of SPIE--the International Society for Optical Engineering	Prieto, Juan C; Yang, Jean Y; Budin, François; Styner, Martin	February 2016	Not Determined
26732849	Create Study	Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation.	Physics in medicine and biology	Wang, Yan; Zhang, Pei; An, Le; Ma, Guangkai; Kang, Jiayin; Shi, Feng; Wu, Xi; Zhou, Jiliu; Lalush, David S; Lin, Weili; Shen, Dinggang	January 21, 2016	Not Determined
26619188	Create Study	Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.	Medical image analysis	Rekik, Islem; Li, Gang; Lin, Weili; Shen, Dinggang	February 2016	Not Determined
26417847	Create Study	Spatiotemporal patterns of cortical fiber density in developing infants, and their relationship with cortical thickness.	Human brain mapping	Li, Gang; Liu, Tianming; Ni, Dong; Lin, Weili; Gilmore, John H; Shen, Dinggang	December 2015	Not Determined
26133617	Create Study	Hierarchical and symmetric infant image registration by robust longitudinal-example-guided correspondence detection.	Medical physics	Wu, Yao; Wu, Guorong; Wang, Li; Munsell, Brent C; Wang, Qian; Lin, Weili; Feng, Qianjin; Chen, Wufan; Shen, Dinggang	July 2015	Not Determined
25980388	Create Study	Construction of 4D high-definition cortical surface atlases of infants: Methods and applications.	Medical image analysis	Li, Gang; Wang, Li; Shi, Feng; Gilmore, John H; Lin, Weili; Shen, Dinggang	October 2015	Not Determined
25362539	Create Study	Cortical thickness and surface area in neonates at high risk for schizophrenia.	Brain structure & function	Li, Gang; Wang, Li; Shi, Feng; Lyall, Amanda E; Ahn, Mihye; Peng, Ziwen; Zhu, Hongtu; Lin, Weili; Gilmore, John H; Shen, Dinggang	January 2016	Not Determined
24591525	Create Study	Dynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood.	Cerebral cortex (New York, N.Y. : 1991)	Lyall AE, Shi F, Geng X, Woolson S, Li G, Wang L, Hamer RM, Shen D, Gilmore JH	August 2015	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	550	07/15/2016	546	11/15/2016	546	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	550	09/30/2016	427	04/01/2017	427	Approved
Behavior Assessment System for Children (BASC)	282	12/15/2020	288	07/01/2021	288	Approved
Stanford Binet	292	01/02/2020	292	06/25/2020	292	Approved
Behavior Rating Inventory of Executive Function (BRIEF)	274	12/16/2020	274	07/01/2021	274	Approved
Imaging (Structural, fMRI, DTI, PET, microscopy)	550	08/31/2016	487	03/01/2017	487	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.	426/17423	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.	421/6323	Secondary Analysis	Shared
A human craniofacial life-course: cross-sectional morphological covariations during postnatal growth, adolescence, and aging	Covariations between anatomical structures are fundamental to craniofacial ontogeny, maturation and aging and yet are rarely studied in such a cognate fashion. Here we offer a comprehensive investigation of the human craniofacial complex using freely available software and MRI datasets representing 575 individuals from 0 to 79 years old. We employ both standard craniometrics methods as well as Procrustes based analyses to capture and document cross-sectional trends. Findings suggest that anatomical structures behave primarily as modules, and manifest integrated patterns of shape change as they compete for space, particularly with relative expansions of the brain during early postnatal life and of the face during puberty. Sexual dimorphism was detected in infancy and intensified during adolescence with gender differences in the magnitude and pattern of morphological covariation as well as of aging. These findings partly support the spatial-packing hypothesis and reveal important insights into phenotypic adjustments to deep-rooted, and presumably genetically defined, trajectories of morphological size and shape change that characterise the normal human craniofacial life-course.	3/308	Secondary Analysis	Shared

* Data not on individual level

helpcenter.collection.associated-studies-tab

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.

Private v. Shared State: Studies that remain private indicate the associated study is only available to users who are able to access the collection. A shared study is accessible to the general public.

Frequently Asked Questions

How do I associate a study to my collection?

Studies are associated to the Collection automatically when the data is defined in the Study.

Glossary

Associated Studies Tab

A tab in a Collection that lists the NDA Studies that have been created using data from that Collection including both Primary and Secondary Analysis NDA Studies.

Contact NDA Help Desk

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