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1 Numbers reported are subjects by age
New Trial
New Project

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

Please select an experiment type below

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.
SelectExperiment IdExperiment NameExperiment Type
Created On
475MB1-10 (CHOP)Omics06/07/2016
490Illumina Infinium PsychArray BeadChip AssayOmics07/07/2016
501PharmacoBOLD Resting StatefMRI07/27/2016
509ABC-CT Resting v2EEG08/18/2016
13Comparison of FI expression in Autistic and Neurotypical Homo SapiensOmics12/28/2010
18AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics01/06/2011
22Stitching PCR SequencingOmics02/14/2011
29Microarray family 03 (father, mother, sibling)Omics03/24/2011
37Standard paired-end sequencing of BCRsOmics04/19/2011
38Illumina Mate-Pair BCR sequencingOmics04/19/2011
39Custom Jumping LibrariesOmics04/19/2011
40Custom CapBPOmics04/19/2011
43Autism brain sample genotyping, IlluminaOmics05/16/2011
47ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 SystemOmics08/01/2011
53AGRE Omni1-quadOmics10/11/2011
59AGP genotypingOmics04/03/2012
60Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controlsOmics06/23/2012
63Microemulsion PCR and Targeted Resequencing for Variant Detection in ASDOmics07/20/2012
76Whole Genome Sequencing in Autism FamiliesOmics01/03/2013
90Genotyped IAN SamplesOmics07/09/2013
91NJLAGS Axiom Genotyping ArrayOmics07/16/2013
93AGP genotyping (CNV)Omics09/06/2013
106Longitudinal Sleep Study. H20 200. Channel set 2EEG11/07/2013
107Longitudinal Sleep Study. H20 200. Channel set 3EEG11/07/2013
108Longitudinal Sleep Study. AURA 200EEG11/07/2013
105Longitudinal Sleep Study. H20 200. Channel set 1EEG11/07/2013
109Longitudinal Sleep Study. AURA 400EEG11/07/2013
131Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1Eye Tracking02/27/2014
132Jeste Lab UCLA ACEii: Animacy - Project 1Eye Tracking02/27/2014
133Jeste Lab UCLA ACEii: Mom Stranger - Project 2Eye Tracking02/27/2014
134Jeste Lab UCLA ACEii: Face Emotion - Project 3Eye Tracking02/27/2014
151Candidate Gene Identification in familial AutismOmics06/09/2014
152NJLAGS Whole Genome SequencingOmics07/01/2014
154Math Autism Study - Vinod MenonfMRI07/15/2014
160syllable contrastEEG07/29/2014
167School-age naturalistic stimuliEye Tracking09/19/2014
44AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics06/27/2011
45Exome Sequencing of 20 Sporadic Cases of Autism Spectrum DisorderOmics07/15/2011
78MET GenotypesOmics03/18/2013
61Ultradeep Illumina sequencing of A-to-I edited sites in synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controlsOmics06/23/2012
65SNP genotypes Illumina 370kOmics07/30/2012
66SSC samples exome sequencingOmics08/03/2012
Collection - Add Experiment
Add Supporting Documentation
Select File

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.

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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.

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[CMS] Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.
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Unable to change collection phase where targeted enrollment is less than 90%

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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Biomarkers of Autism at 12 Months: From Brain Overgrowth to Genes
Eric Courchesne, Karen Pierce and others. 
Behavioral data from the UCSD Autism Center of Excellence. This first data deposit will include Mullen Scales of Early Learning Scores from infants ages 12-36 months who are part of the ACE. Infants represent those at risk for an ASD, language delay (LD) and developmental delay (DD). Normal control data will be deposited as well. **NOTE: Headers from imaging data submitted to this collection contained Personally Identifiable Information (PII) and have been cleaned by NDA Staff**
NIMH Data Archive
Autism Centers of Excellence (ACE)
Funding Completed
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NIH - Extramural None

P50MH081755-01 Biomarkers of Autism at 12 months: From Brain Overgrowth to Genes 08/06/2007 06/30/2014 210 245 UNIVERSITY OF CALIFORNIA, SAN DIEGO $10,322,836.00


NDA Help Center

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).


  • 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.
IDNameCreated DateStatusType
116Gene Expression Analysis WG-601/07/2014ApprovedOmics
157Social Orienting07/25/2014ApprovedfMRI
158Word Language07/25/2014ApprovedfMRI
163Gene Expression Analysis HT-1208/08/2014ApprovedOmics

NDA Help Center

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.


  • 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.
Autism Diagnostic Observation Schedule (ADOS) Toddler Clinical Assessments 118
Autism Diagnostic Observation Schedule (ADOS)- Module 1 Clinical Assessments 6
Autism Diagnostic Observation Schedule (ADOS)- Module 2 Clinical Assessments 25
Genomics Sample Genomics 217
Genomics Subject Genomics 217
Image Imaging 363
Modified CHARGE Family Medical History (2007) Clinical Assessments 9
Modified CHARGE Family Medical History (rev July 2007) Clinical Assessments 8
Mullen Scales of Early Learning Clinical Assessments 5
Research Subject Clinical Assessments 225
Vineland-II - Parent and Caregiver Rating Form (2005) Clinical Assessments 36

NDA Help Center

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.


  • 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.

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


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 IDStudyTitleJournalAuthorsDateStatus
36266569Create StudyA predictive ensemble classifier for the gene expression diagnosis of ASD at ages 1 to 4 years.Molecular psychiatryBao, Bokan; Zahiri, Javad; Gazestani, Vahid H; Lopez, Linda; Xiao, Yaqiong; Kim, Raphael; Wen, Teresa H; Chiang, Austin W T; Nalabolu, Srinivasa; Pierce, Karen; Robasky, Kimberly; Wang, Tianyun; Hoekzema, Kendra; Eichler, Evan E; Lewis, Nathan E; Courchesne, EricFebruary 1, 2023Not Determined
35277549Create StudyLarge scale validation of an early-age eye-tracking biomarker of an autism spectrum disorder subtype.Scientific reportsWen, Teresa H; Cheng, Amanda; Andreason, Charlene; Zahiri, Javad; Xiao, Yaqiong; Xu, Ronghui; Bao, Bokan; Courchesne, Eric; Barnes, Cynthia Carter; Arias, Steven J; Pierce, KarenMarch 11, 2022Not Determined
34516910Create StudyAtypical genomic cortical patterning in autism with poor early language outcome.Science advancesLombardo, Michael V; Eyler, Lisa; Pramparo, Tiziano; Gazestani, Vahid H; Hagler Jr, Donald J; Chen, Chi-Hua; Dale, Anders M; Seidlitz, Jakob; Bethlehem, Richard A I; Bertelsen, Natasha; Barnes, Cynthia Carter; Lopez, Linda; Campbell, Kathleen; Lewis, Nathan E; Pierce, Karen; Courchesne, EricSeptember 3, 2021Not Determined
34341515Create StudyPre-treatment clinical and gene expression patterns predict developmental change in early intervention in autism.Molecular psychiatryLombardo, Michael V; Busuoli, Elena Maria; Schreibman, Laura; Stahmer, Aubyn C; Pramparo, Tiziano; Landi, Isotta; Mandelli, Veronica; Bertelsen, Natasha; Barnes, Cynthia Carter; Gazestani, Vahid; Lopez, Linda; Bacon, Elizabeth C; Courchesne, Eric; Pierce, KarenDecember 1, 2021Not Determined
31843053Create StudyDefault mode-visual network hypoconnectivity in an autism subtype with pronounced social visual engagement difficulties.eLifeLombardo, Michael V; Eyler, Lisa; Moore, Adrienne; Datko, Michael; Carter Barnes, Cynthia; Cha, Debra; Courchesne, Eric; Pierce, KarenDecember 2019Not Determined
31647314Create StudyIdentifying prognostic markers in autism spectrum disorder using eye tracking.Autism : the international journal of research and practiceBacon, Elizabeth C; Moore, Adrienne; Lee, Quimby; Carter Barnes, Cynthia; Courchesne, Eric; Pierce, KarenApril 2020Not Determined
31551593Create StudyA perturbed gene network containing PI3K-AKT, RAS-ERK and WNT-β-catenin pathways in leukocytes is linked to ASD genetics and symptom severity.Nature neuroscienceGazestani, Vahid H; Pramparo, Tiziano; Nalabolu, Srinivasa; Kellman, Benjamin P; Murray, Sarah; Lopez, Linda; Pierce, Karen; Courchesne, Eric; Lewis, Nathan EOctober 2019Not Determined
31311289Create StudyVaried treatment response in young children with autism: A relative comparison of structured and naturalistic behavioral approaches.Autism : the international journal of research and practiceJobin, AllisonFebruary 2020Not Determined
31034004Create StudyEvaluation of the Diagnostic Stability of the Early Autism Spectrum Disorder Phenotype in the General Population Starting at 12 Months.JAMA pediatricsPierce, Karen; Gazestani, Vahid H; Bacon, Elizabeth; Barnes, Cynthia Carter; Cha, Debra; Nalabolu, Srinivasa; Lopez, Linda; Moore, Adrienne; Pence-Stophaeros, Sunny; Courchesne, EricJune 2019Not Determined
30482947Create StudyLarge-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes.Nature neuroscienceLombardo, Michael V; Pramparo, Tiziano; Gazestani, Vahid; Warrier, Varun; Bethlehem, Richard A I; Carter Barnes, Cynthia; Lopez, Linda; Lewis, Nathan E; Eyler, Lisa; Pierce, Karen; Courchesne, EricDecember 2018Not Determined
29754501Create StudyNaturalistic language sampling to characterize the language abilities of 3-year-olds with autism spectrum disorder.Autism : the international journal of research and practiceBacon, Elizabeth C; Osuna, Suzanna; Courchesne, Eric; Pierce, KarenApril 2019Not Determined
29674594Create StudyPaternally inherited cis-regulatory structural variants are associated with autism.Science (New York, N.Y.)Brandler, William M; Antaki, Danny; Gujral, Madhusudan; Kleiber, Morgan L; Whitney, Joe; Maile, Michelle S; Hong, Oanh; Chapman, Timothy R; Tan, Shirley; Tandon, Prateek; Pang, Timothy; Tang, Shih C; Vaux, Keith K; Yang, Yan; Harrington, Eoghan; Juul, Sissel; Turner, Daniel J; Thiruvahindrapuram, Bhooma; Kaur, Gaganjot; Wang, Zhuozhi; Kingsmore, Stephen F; Gleeson, Joseph G; Bisson, Denis; Kakaradov, Boyko; Telenti, Amalio; Venter, J Craig; Corominas, Roser; Toma, Claudio; Cormand, Bru; Rueda, Isabel; Guijarro, Silvina; Messer, Karen S; Nievergelt, Caroline M; Arranz, Maria J; Courchesne, Eric; Pierce, Karen; Muotri, Alysson R; Iakoucheva, Lilia M; Hervas, Amaia; Scherer, Stephen W; Corsello, Christina; Sebat, JonathanApril 2018Not Determined
29581878Create StudyThe geometric preference subtype in ASD: identifying a consistent, early-emerging phenomenon through eye tracking.Molecular autismMoore A, Wozniak M, Yousef A, Barnes CC, Cha D, Courchesne E, Pierce KJanuary 2018Not Determined
28803559Create StudyRethinking the idea of late autism spectrum disorder onset.Development and psychopathologyBacon, Elizabeth C; Courchesne, Eric; Barnes, Cynthia Carter; Cha, Debra; Pence, Sunny; Schreibman, Laura; Stahmer, Aubyn C; Pierce, KarenMay 1, 2018Not Determined
28202133Create StudyToddlers later diagnosed with autism exhibit multiple structural abnormalities in temporal corpus callosum fibers.Cortex; a journal devoted to the study of the nervous system and behaviorFingher, Noa; Dinstein, Ilan; Ben-Shachar, Michal; Haar, Shlomi; Dale, Anders M; Eyler, Lisa; Pierce, Karen; Courchesne, EricDecember 2017Not Determined
26668231Create StudyCell cycle networks link gene expression dysregulation, mutation, and brain maldevelopment in autistic toddlers.Molecular systems biologyPramparo, Tiziano; Lombardo, Michael V; Campbell, Kathleen; Barnes, Cynthia Carter; Marinero, Steven; Solso, Stephanie; Young, Julia; Mayo, Maisi; Dale, Anders; Ahrens-Barbeau, Clelia; Murray, Sarah S; Lopez, Linda; Lewis, Nathan; Pierce, Karen; Courchesne, EricDecember 2015Not Determined
26300272Create StudyDiffusion Tensor Imaging Provides Evidence of Possible Axonal Overconnectivity in Frontal Lobes in Autism Spectrum Disorder Toddlers.Biological psychiatrySolso S, Xu R, Proudfoot J, Hagler DJ, Campbell K, Venkatraman V, Carter Barnes C, Ahrens-Barbeau C, Pierce K, Dale A, Eyler L, Courchesne EJuly 4, 2015Not Determined
25981170Create StudyEye Tracking Reveals Abnormal Visual Preference for Geometric Images as an Early Biomarker of an Autism Spectrum Disorder Subtype Associated With Increased Symptom Severity.Biological psychiatryPierce, Karen; Marinero, Steven; Hazin, Roxana; McKenna, Benjamin; Barnes, Cynthia Carter; Malige, AjithApril 2016Not Determined
25864635Create StudyDifferent functional neural substrates for good and poor language outcome in autism.NeuronLombardo MV, Pierce K, Eyler LT, Carter Barnes C, Ahrens-Barbeau C, Solso S, Campbell K, Courchesne EApril 22, 2015Not Determined
25739104Create StudyPrediction of autism by translation and immune/inflammation coexpressed genes in toddlers from pediatric community practices.JAMA psychiatryPramparo T, Pierce K, Lombardo MV, Carter Barnes C, Marinero S, Ahrens-Barbeau C, Murray SS, Lopez L, Xu R, Courchesne EApril 2015Not Determined
24711926Create StudyMeasuring outcome in an early intervention program for toddlers with autism spectrum disorder: use of a curriculum-based assessment.Autism research and treatmentBacon, Elizabeth C; Dufek, Sarah; Schreibman, Laura; Stahmer, Aubyn C; Pierce, Karen; Courchesne, Eric2014Not Determined
24670167Create StudyPatches of disorganization in the neocortex of children with autism.The New England journal of medicineStoner, Rich; Chow, Maggie L; Boyle, Maureen P; Sunkin, Susan M; Mouton, Peter R; Roy, Subhojit; Wynshaw-Boris, Anthony; Colamarino, Sophia A; Lein, Ed S; Courchesne, EricMarch 27, 2014Not Relevant
24055786Create StudyAcute prenatal exposure to a moderate dose of valproic acid increases social behavior and alters gene expression in rats.International journal of developmental neuroscience : the official journal of the International Society for Developmental NeuroscienceCohen OS, Varlinskaya EI, Wilson CA, Glatt SJ, Mooney SMDecember 2013Not Relevant
23828104Create StudyHigher rates of decline for women and apolipoprotein E epsilon4 carriers.AJNR. American journal of neuroradiologyHolland D, Desikan RS, Dale AM, McEvoy LKDecember 2013Not Determined
23727317Create StudyIntrinsic connectivity network mapping in young children during natural sleep.NeuroImageManning, Janessa H; Courchesne, Eric; Fox, Peter TDecember 2013Not Relevant
23650250Create StudyBlood-based gene-expression predictors of PTSD risk and resilience among deployed marines: a pilot study.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsGlatt, Stephen J; Tylee, Daniel S; Chandler, Sharon D; Pazol, Joel; Nievergelt, Caroline M; Woelk, Christopher H; Baker, Dewleen G; Lohr, James B; Kremen, William S; Litz, Brett T; Tsuang, Ming T; Marine Resiliency Study InvestigatorsJune 2013Not Relevant
23637621Create StudyAll SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs.PLoS geneticsSchork, Andrew J; Thompson, Wesley K; Pham, Phillip; Torkamani, Ali; Roddey, J Cooper; Sullivan, Patrick F; Kelsoe, John R; O'Donovan, Michael C; Furberg, Helena; Tobacco and Genetics Consortium; Bipolar Disorder Psychiatric Genomics Consortium; Schizophrenia Psychiatric Genomics Consortium; Schork, Nicholas J; Andreassen, Ole A; Dale, Anders MApril 2013Not Relevant
23082203Create StudyEnrichment and stratification for predementia Alzheimer disease clinical trials.PloS oneHolland, Dominic; McEvoy, Linda K; Desikan, Rahul S; Dale, Anders M; Alzheimer’s Disease Neuroimaging Initiative2012Not Relevant
23062752Create StudyTranscriptomic analysis of postmortem brain identifies dysregulated splicing events in novel candidate genes for schizophrenia.Schizophrenia researchCohen OS, Mccoy SY, Middleton FA, Bialosuknia S, Zhang-James Y, Liu L, Tsuang MT, Faraone SV, Glatt SJDecember 2012Not Relevant
22917206Create StudyBlood-based gene expression signatures of infants and toddlers with autism.Journal of the American Academy of Child and Adolescent PsychiatryGlatt SJ, Tsuang MT, Winn M, Chandler SD, Collins M, Lopez L, Weinfeld M, Carter C, Schork N, Pierce K, Courchesne ESeptember 2012Not Determined
22876315Create StudyRates of decline in Alzheimer disease decrease with age.PloS oneHolland, Dominic; Desikan, Rahul S; Dale, Anders M; McEvoy, Linda K; Alzheimer’s Disease Neuroimaging Initiative2012Not Relevant
22822038Create StudyDiencephalic-mesencephalic junction dysplasia: a novel recessive brain malformation.Brain : a journal of neurologyZaki MS, Saleem SN, Dobyns WB, Barkovich AJ, Bartsch H, Dale AM, Ashtari M, Akizu N, Gleeson JG, Grijalvo-Perez AMAugust 2012Not Relevant
22457638Create StudyAge-dependent brain gene expression and copy number anomalies in autism suggest distinct pathological processes at young versus mature ages.PLoS geneticsChow ML, Pramparo T, Winn ME, Barnes CC, Li HR, Weiss L, Fan JB, Murray S, April C, Belinson H, Fu XD, Wynshaw-Boris A, Schork NJ, Courchesne E2012Not Relevant
22375143Create StudyPreprocessing and Quality Control Strategies for Illumina DASL Assay-Based Brain Gene Expression Studies with Semi-Degraded Samples.Frontiers in geneticsChow, Maggie L; Winn, Mary E; Li, Hai-Ri; April, Craig; Wynshaw-Boris, Anthony; Fan, Jian-Bing; Fu, Xiang-Dong; Courchesne, Eric; Schork, Nicholas JJanuary 2012Not Determined
22350062Study (356)A failure of left temporal cortex to specialize for language is an early emerging and fundamental property of autism.Brain : a journal of neurologyEyler LT, Pierce K, Courchesne EMarch 2012Relevant
22343285Create StudyAssociation of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans.Proceedings of the National Academy of Sciences of the United States of AmericaBakken TE, Roddey JC, Djurovic S, Akshoomoff N, Amaral DG, Bloss CS, Casey BJ, Chang L, Ernst TM, Gruen JR, Jernigan TL, Kaufmann WE, Kenet T, Kennedy DN, Kuperman JM, Murray SS, Sowell ER, Rimol LM, Mattingsdal M, Melle I, Agartz I, Andreassen OA, Schork NJ, Dale AMMarch 6, 2012Not Relevant
22194717Create StudyCognitive consilience: primate non-primary neuroanatomical circuits underlying cognition.Frontiers in neuroanatomySolari, Soren Van Hout; Stoner, RichJanuary 1, 2011Not Determined
22174699Create StudyAn assessment of the individual and collective effects of variants on height using twins and a developmentally informative study design.PLoS geneticsVrieze, Scott I; McGue, Matt; Miller, Michael B; Legrand, Lisa N; Schork, Nicholas J; Iacono, William GDecember 2011Not Relevant
22068992Create StudyNeuron number and size in prefrontal cortex of children with autism.JAMACourchesne E, Mouton PR, Calhoun ME, Semendeferi K, Ahrens-Barbeau C, Hallet MJ, Barnes CC, Pierce KNovember 9, 2011Not Relevant
22050848Create StudyThe utility of gene expression in blood cells for diagnosing neuropsychiatric disorders.International review of neurobiologyWoelk CH, Singhania A, Pérez-Santiago J, Glatt SJ, Tsuang MT2011Not Relevant
21972136Create StudySimilarities and differences in peripheral blood gene-expression signatures of individuals with schizophrenia and their first-degree biological relatives.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsGlatt, Stephen J; Stone, William S; Nossova, Nadine; Liew, Choong-Chin; Seidman, Larry J; Tsuang, Ming TDecember 2011Not Relevant
21906392Create StudyGenome-wide expression assay comparison across frozen and fixed postmortem brain tissue samples.BMC genomicsChow ML, Li HR, Winn ME, April C, Barnes CC, Wynshaw-Boris A, Fan JB, Fu XD, Courchesne E, Schork NJ2011Not Relevant
21849792Create StudyA geographic cline of skull and brain morphology among individuals of European Ancestry.Human heredityBakken TE, Dale AM, Schork NJ2011Not Relevant
21843359Create StudyGene expression profiling of human whole blood samples with the Illumina WG-DASL assay.BMC genomicsWinn ME, Shaw M, April C, Klotzle B, Fan JB, Murray SS, Schork NJ2011Not Relevant
21839162Create StudyAnnotating individual human genomes.GenomicsTorkamani A, Scott-Van Zeeland AA, Topol EJ, Schork NJOctober 2011Not Relevant
21830259Create StudyUnbiased comparison of sample size estimates from longitudinal structural measures in ADNI.Human brain mappingHolland, Dominic; McEvoy, Linda K; Dale, Anders M; Alzheimer's Disease Neuroimaging InitiativeNovember 2012Not Relevant
21826086Create StudyBackground gene expression networks significantly enhance drug response prediction by transcriptional profiling.The pharmacogenomics journalTorkamani A, Schork NJOctober 2012Not Relevant
21810643Create StudyAssociation of genetic variants on 15q12 with cortical thickness and cognition in schizophrenia.Archives of general psychiatryBakken TE, Bloss CS, Roddey JC, Joyner AH, Rimol LM, Djurovic S, Melle I, Sundet K, Agartz I, Andreassen OA, Dale AM, Schork NJAugust 2011Not Relevant
21695041Create StudyThe n-of-1 clinical trial: the ultimate strategy for individualizing medicine?Personalized medicineLillie, Elizabeth O; Patay, Bradley; Diamant, Joel; Issell, Brian; Topol, Eric J; Schork, Nicholas JMarch 2011Not Relevant
21689606Create StudyDisrupted neural synchronization in toddlers with autism.NeuronDinstein, Ilan; Pierce, Karen; Eyler, Lisa; Solso, Stephanie; Malach, Rafael; Behrmann, Marlene; Courchesne, EricJune 23, 2011Not Determined
21532980Create StudyAlternatively Spliced Genes as Biomarkers for Schizophrenia, Bipolar Disorder and Psychosis: A Blood-Based Spliceome-Profiling Exploratory Study.Current pharmacogenomics and personalized medicineGlatt, S J; Chandler, S D; Bousman, C A; Chana, G; Lucero, G R; Tatro, E; May, T; Lohr, J B; Kremen, W S; Everall, I P; Tsuang, M TSeptember 2009Not Determined
21524759Create StudyDetecting, studying, and treating autism early: the one-year well-baby check-up approach.The Journal of pediatricsPierce K, Carter C, Weinfeld M, Desmond J, Hazin R, Bjork R, Gallagher NSeptember 2011Not Determined
21479135Create StudyEfficient and cost effective population resequencing by pooling and in-solution hybridization.PloS oneBansal, Vikas; Tewhey, Ryan; Leproust, Emily M; Schork, Nicholas J2011Not Relevant
21438146Create StudyDysfunctional gene splicing as a potential contributor to neuropsychiatric disorders.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsGlatt, Stephen J; Cohen, Ori S; Faraone, Stephen V; Tsuang, Ming TJune 2011Not Relevant
21388857Create StudyNonlinear registration of longitudinal images and measurement of change in regions of interest.Medical image analysisHolland D, Dale AMAugust 2011Not Relevant
21301473Create StudyThe importance of phase information for human genomics.Nature reviews. GeneticsTewhey R, Bansal V, Torkamani A, Topol EJ, Schork NJMarch 2011Not Relevant
21121035Create StudyAn application and empirical comparison of statistical analysis methods for associating rare variants to a complex phenotype.Pacific Symposium on Biocomputing. Pacific Symposium on BiocomputingBansal V, Libiger O, Torkamani A, Schork NJ2011Not Relevant
21085054Create StudyFamily-based association testing of glutamate transporter genes in autism.Psychiatric geneticsJacob S, Brune CW, Badner JA, Ernstrom K, Courchesne E, Lord C, Leventhal BL, Cook EH, Kim SJAugust 2011Not Determined
20976246Create StudyA covering method for detecting genetic associations between rare variants and common phenotypes.PLoS computational biologyBhatia G, Bansal V, Harismendy O, Schork NJ, Topol EJ, Frazer K, Bafna V2010Not Relevant
20940738Create StudyStatistical analysis strategies for association studies involving rare variants.Nature reviews. GeneticsBansal V, Libiger O, Torkamani A, Schork NJNovember 2010Not Relevant
20920490Create StudyBrain growth across the life span in autism: age-specific changes in anatomical pathology.Brain researchCourchesne, Eric; Campbell, Kathleen; Solso, StephanieMarch 22, 2011Not Determined
20869953Create StudyEarly functional brain development in autism and the promise of sleep fMRI.Brain researchPierce KMarch 22, 2011Not Relevant
20819977Create StudyPreference for geometric patterns early in life as a risk factor for autism.Archives of general psychiatryPierce K, Conant D, Hazin R, Stoner R, Desmond JJanuary 2011Not Relevant
20709627Create StudyContemporary human genetic strategies in aging research.Ageing research reviewsBloss CS, Pawlikowska L, Schork NJApril 2011Not Relevant
20552680Create StudyPositive symptoms of psychosis correlate with expression of ubiquitin proteasome genes in peripheral blood.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsBousman, Chad A; Chana, Gursharan; Glatt, Stephen J; Chandler, Sharon D; May, Todd; Lohr, James; Kremen, William S; Tsuang, Ming T; Everall, Ian POctober 5, 2010Not Relevant
20473674Create StudyThe effects of globin on microarray-based gene expression analysis of mouse blood.Mammalian genome : official journal of the International Mammalian Genome SocietyWinn, Mary E; Zapala, Matthew A; Hovatta, Iiris; Risbrough, Victoria B; Lillie, Elizabeth; Schork, Nicholas JJune 2010Not Relevant
20433907Create StudyHuman behavioral informatics in genetic studies of neuropsychiatric disease: multivariate profile-based analysis.Brain research bulletinBloss CS, Schiabor KM, Schork NJSeptember 30, 2010Not Relevant
20423962Create StudyCurve-based multivariate distance matrix regression analysis: application to genetic association analyses involving repeated measures.Physiological genomicsSalem RM, O'Connor DT, Schork NJJuly 7, 2010Not Relevant
20407100Create StudyExtremes of unexplained variation as a phenotype: an efficient approach for genome-wide association studies of cardiovascular disease.Circulation. Cardiovascular geneticsLanktree, Matthew B; Hegele, Robert A; Schork, Nicholas J; Spence, J DavidApril 2010Not Relevant
20385893Create StudyContrasting gray and white matter changes in preclinical Huntington disease: an MRI study.NeurologyStoffers D, Sheldon S, Kuperman JM, Goldstein J, Corey-Bloom J, Aron ARApril 13, 2010Not Relevant
20335478Create StudyLongitudinal magnetic resonance imaging study of cortical development through early childhood in autism.The Journal of neuroscience : the official journal of the Society for NeuroscienceSchumann CM, Bloss CS, Barnes CC, Wideman GM, Carper RA, Akshoomoff N, Pierce K, Hagler D, Schork N, Lord C, Courchesne EMarch 24, 2010Not Determined
20309761Create StudyGenotype-based risk and pharmacogenetic sampling in clinical trials.Journal of biopharmaceutical statisticsSchork NJ, Topol EJMarch 2010Not Relevant
20067366Create StudyComparison of genetic distance measures using human SNP genotype data.Human biologyLibiger O, Nievergelt CM, Schork NJAugust 2009Not Relevant
19996185Create StudySubregional neuroanatomical change as a biomarker for Alzheimer's disease.Proceedings of the National Academy of Sciences of the United States of AmericaHolland D, Brewer JB, Hagler DJ, Fennema-Notestine C, Fenema-Notestine C, Dale AMDecember 8, 2009Not Relevant
19935738Create StudyMaternal transmission of a rare GABRB3 signal peptide variant is associated with autism.Molecular psychiatryDelahanty, R J; Kang, J Q; Brune, C W; Kistner, E O; Courchesne, E; Cox, N J; Cook Jr, E H; Macdonald, R L; Sutcliffe, J SJanuary 2011Not Relevant
19758535Create StudyThe power and promise of identifying autism early: insights from the search for clinical and biological markers.Annals of clinical psychiatry : official journal of the American Academy of Clinical PsychiatristsPierce, Karen; Glatt, Stephen J; Liptak, Gregory S; McIntyre, Laura LeeJuly 2009Not Determined
19726029Create StudyAmygdala enlargement in toddlers with autism related to severity of social and communication impairments.Biological psychiatrySchumann CM, Barnes CC, Lord C, Courchesne ENovember 15, 2009Not Determined
19667321Create StudyRegional rates of neocortical atrophy from normal aging to early Alzheimer disease.NeurologyMcDonald CR, McEvoy LK, Gharapetian L, Fennema-Notestine C, Hagler DJ, Holland D, Koyama A, Brewer JB, Dale AMAugust 11, 2009Not Relevant
19582768Create StudyPreliminary evidence of ubiquitin proteasome system dysregulation in schizophrenia and bipolar disorder: convergent pathway analysis findings from two independent samples.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsBousman, Chad A; Chana, Gursharan; Glatt, Stephen J; Chandler, Sharon D; Lucero, Ginger R; Tatro, Erick; May, Todd; Lohr, James B; Kremen, William S; Tsuang, Ming T; Everall, Ian PMarch 5, 2010Not Relevant
19574499Create StudyIdentification of rare cancer driver mutations by network reconstruction.Genome researchTorkamani A, Schork NJSeptember 2009Not Relevant
19549629Create StudyPrestige centrality-based functional outlier detection in gene expression analysis.Bioinformatics (Oxford, England)Torkamani A, Schork NJSeptember 1, 2009Not Relevant
19481926Create StudyCommon vs. rare allele hypotheses for complex diseases.Current opinion in genetics & developmentSchork, Nicholas J; Murray, Sarah S; Frazer, Kelly A; Topol, Eric JJune 2009Not Relevant
19186126Create StudyComputational modeling of structurally conserved cancer mutations in the RET and MET kinases: the impact on protein structure, dynamics, and stability.Biophysical journalDixit A, Torkamani A, Schork NJ, Verkhivker GFebruary 2009Not Relevant
18722519Create StudyPathway analysis of seven common diseases assessed by genome-wide association.GenomicsTorkamani A, Topol EJ, Schork NJNovember 2008Not Relevant
18562267Create StudyPredicting functional regulatory polymorphisms.Bioinformatics (Oxford, England)Torkamani A, Schork NJAugust 15, 2008Not Relevant
17964254Create StudyMapping early brain development in autism.NeuronCourchesne E, Pierce K, Schumann CM, Redcay E, Buckwalter JA, Kennedy DP, Morgan JOctober 25, 2007Not Relevant

NDA Help Center

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).


  • 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.
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 ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info icon
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 ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Mullen Scales of Early Learning info icon
Genomics/omics info icon
ADOS info icon
ADI-R info icon
Medical History info icon
Communication and Symbolic Behavior Scales (CSBS) info icon
MacArthur Bates Communicative Development Inventory info icon
Physical Exam info icon
Vineland (Parent and Caregiver) info icon
Imaging (Structural, fMRI, DTI, PET, microscopy) info icon
Structure not yet defined
No Status history for this Data Expected has been recorded yet

NDA Help Center

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.


  • 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.

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 NameAbstractCollection/Study SubjectsData UsageState
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.5/17423Secondary AnalysisShared
The importance of low IQ to early diagnosis of autismSome 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. 4/6323Secondary AnalysisShared
Unravelling the Collective Diagnostic Power Behind the Features in the Autism Diagnostic Observation ScheduleBackground: Autism is a group of heterogeneous disorders defined by deficits in social interaction and communication. Typically, diagnosis depends on the results of a behavioural examination called the Autism Diagnostic Observation Schedule (ADOS). Unfortunately, administration of the ADOS exam is time-consuming and requires a significant amount of expert intervention, leading to delays in diagnosis and access to early intervention programs. The diagnostic power of each feature in the ADOS exam is currently unknown. Our hypothesis is that certain features could be removed from the exam without a significant reduction in diagnostic accuracy, sensitivity or specificity. Objective: Determine the smallest subset of predictive features in ADOS module-1 (an exam variant for patients with minimal verbal skills). Methodology: ADOS module-1 datasets were acquired from the Autism Genetic Resource Exchange and the National Database for Autism Research. The datasets contained 2572 samples with the following labels: autism (1763), autism spectrum (513), and non-autism (296). The datasets were used as input to 4 different cost-sensitive classifiers in Weka (functional trees, LADTree, logistic model trees, and PART). For each classifier, a 10-fold cross validation was preformed and the number of predictive features, accuracy, sensitivity, and specificity was recorded. Results & Conclusion: Each classifier resulted in a reduction of the number of ADOS features required for autism diagnosis. The LADtree classifier was able to obtain the largest reduction, utilizing only 10 of 29 ADOS module-1 features (96.8% accuracy, 96.9% sensitivity, and 95.9% specificity). Overall, these results are a step towards a more efficient behavioural exam for autism diagnosis. 312/1832Secondary AnalysisShared
Age-dependent white matter microstructural disintegrity in autism spectrum disorderThere has been increasing evidence of White Matter (WM) microstructural disintegrity and connectome disruption in Autism Spectrum Disorder (ASD). We evaluated the effects of age on WM microstructure by examining Diffusion Tensor Imaging (DTI) metrics and connectome Edge Density (ED) in a large dataset of ASD and control patients from different age cohorts. N = 583 subjects from four studies from the National Database of Autism Research were included, representing four different age groups: (1) A Longitudinal MRI Study of Infants at Risk of Autism [infants, median age: 7 (interquartile range 1) months, n = 155], (2) Biomarkers of Autism at 12 months [toddlers, 32 (11)m, n = 102], (3) Multimodal Developmental Neurogenetics of Females with ASD [adolescents, 13.1 (5.3) years, n = 230], (4) Atypical Late Neurodevelopment in Autism [young adults, 19.1 (10.7)y, n = 96]. For each subject, we created Fractional Anisotropy (FA), Mean- (MD), Radial- (RD), and Axial Diffusivity (AD) maps as well as ED maps. We performed voxel-wise and tract-based analyses to assess the effects of age, ASD diagnosis and sex on DTI metrics and connectome ED. We also optimized, trained, tested, and validated different combinations of machine learning classifiers and dimensionality reduction algorithms for prediction of ASD diagnoses based on tract-based DTI and ED metrics. There is an age-dependent increase in FA and a decline in MD and RD across WM tracts in all four age cohorts, as well as an ED increase in toddlers and adolescents. After correction for age and sex, we found an ASD-related decrease in FA and ED only in adolescents and young adults, but not in infants or toddlers. While DTI abnormalities were mostly limited to the corpus callosum, connectomes showed a more widespread ASD-related decrease in ED. Finally, the best performing machine-leaning classification model achieved an area under the receiver operating curve of 0.70 in an independent validation cohort. Our results suggest that ASD-related WM microstructural disintegrity becomes evident in adolescents and young adults—but not in infants and toddlers. The ASD-related decrease in ED demonstrates a more widespread involvement of the connectome than DTI metrics, with the most striking differences being localized in the corpus callosum. 428/1362Secondary AnalysisShared
Automated Autism Diagnosis using Phenotypic and Genotypic Attributes: Phase IThe ultimate goal of this project is to develop a predictive system that can automate the diagnosis process for autism using phenotypic and genotypic attributes for classification. At this time, only a first phase is being pursued: starting with scores from Autism Diagnostic Observation Schedule (ADOS) reports, use data-mining techniques to select the smallest set of the most informative evaluation points that can lead to similar behavioral diagnoses as using all report features. The effort began in March, 2016 after data access to NDAR was granted. This report describes the results from that date through the end of December 2016.311/1045Secondary AnalysisShared
A human craniofacial life-course: cross-sectional morphological covariations during postnatal growth, adolescence, and agingCovariations 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.32/308Secondary AnalysisShared
Data-Driven Generation of Synthetic Behavioral Feature Vectors Modeling Children with Autism Spectrum DisordersBehavioral data on children with Autism Spectrum Disorders (ASD) are available thanks to standardized diagnostic tools, such as the Autism Diagnostic Observation Schedule (ADOS). This data can be of great use to enhance the learning and reasoning of agents interacting with children with ASD. However, the amount of such available data is limited and may not prove useful by itself to inform the algorithms of complex agents. To address this data scarcity problem, we present a method for generating synthetic behavioral data in the form of feature vectors characterizing a wide range of children with ASD. Our method relies on a thorough analysis and partition of the feature space based on a real dataset containing the ADOS scores of 279 children. We first analyze the real dataset using dimensionality reduction techniques, then introduce data-driven descriptors that partition the feature space into regions naturally arising from the data. We end by presenting a descriptor-based sampling method to generate synthetic feature vectors that successfully preserves the correlation structure of the real dataset.1/173Secondary AnalysisShared
* Data not on individual level

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