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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
116Gene Expression Analysis WG-6Omics01/07/2014
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
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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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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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Multimodel Assessment of Social Process Systems across Neurodevelopmental Disorders
James McPartland 
Disruption of social process systems is a hallmark of multiple neurodevelopmental disorders, resulting in significant functional impairment for affected individuals and substantial public health costs. This project proposes to examine the relationship between social performance and Reception of Facial Communication (a subconstruct within the Social Communication construct of the RDoC Social Processes domain) across multiple levels of analysis, spanning self-report, behavior, and physiology. Dimensional measures of face and emotion perception and social communicative function will be collected in a transdiagnostic sample of 50 adults from each of three recruitment streams: (1) the Yale Child Study Center Developmental Disabilities Clinic and Autism Spectrum Disorder (ASD) Research Program; (2) the Yale Psychiatry Department Specialized Treatment for Early Psychosis (STEP) Clinic and ongoing schizophrenia spectrum disorders (SZS) research program; (3) community controls presenting without clinical impairment in social communication. Though currently classified by separate diagnostic taxonomies, ASD and SZS exhibit shared social dysfunction and overlapping atypicalities in self-reported social characteristics (e.g., social motivation and engagement), behavior (e.g., scanning patterns to human faces, face recognition, and emotional expression deficits), and physiology (e.g., electrophysiological indices of face and emotion perception). These findings suggest commonalities in the underlying neural processes affected in these disorders and emphasize the import of studying social dysfunction by organizing dimensions that cut across traditional diagnostic categories. This research utilizes a novel experimental paradigm that combines high-speed eye-tracking (ET; to measure where a person looks on a computer screen) and electroencephalographic recording (EEG; to measure brain response) to enable simulation of social interactions by animating on-screen faces that respond to the participants eye gaze. We use dynamic, computer-generated, highly realistic faces that respond to the gaze of participants by "looking back" or making a facial expression. Across experiments, we relate continuous indices of social ability to variability in ET and EEG measures. Preliminary data demonstrate the viability of this innovative approach and reveal that both gaze patterns and neural response to interactive faces are associated with social functioning across the clinical and non-clinical range. Our innovative approach will advance understanding of the brain basis of social dysfunction in neurodevelopmental disorders by studying social perception in a naturalistic, interactive context. This research will lead to new ways of classifying mental disorders based on dimensions of observable behavior and neurobiological measures. It offers significant clinical translational benefits, including identifying therapeutic targets, developing biologically-based predictors of treatment response, creating new treatment approaches, and exploring new markers to parse heterogeneity and more effectively conceptualize social processes affected across neurodevelopmental disorders.
NIMH Data Archive
Dimensional Approaches to Research Classification in Psychiatric Disorders (DARCPD)
Funding Completed
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NIH - Extramural None

R01MH107426-01 Multimodel Assessment of Social Process Systems across Neurodevelopmental Disorders 07/15/2015 05/31/2018 150 198 YALE UNIVERSITY $650,980.00


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
No records found.

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, 2nd Edition (ADOS-2) - Module 4 Clinical Assessments 140
Autism Spectrum Quotient (AQ) Clinical Assessments 167
Beck Anxiety Inventory Clinical Assessments 129
Benton Facial Recognition Test Clinical Assessments 153
Broad Autism Phenotype Questionnaire (BAPQ) Clinical Assessments 168
Edinburgh Handedness Inventory Clinical Assessments 165
Glasgow Sensory Questionnaire Clinical Assessments 133
Mini International Neuropsychiatric Interview. Part I Clinical Assessments 150
Reading the Mind in the Eyes Task (RMET) Clinical Assessments 152
Research Subject Clinical Assessments 175
SCID-V Diagnosis Clinical Assessments 124
SRS-2. Adult, Preschool and School Age Clinical Assessments 165
Scales for the Assessment of Positive/Negative Symptoms Clinical Assessments 126
Schizotypal Personality Questionnaire Clinical Assessments 159
Sensory Gating Inventory Clinical Assessments 134
Social Communication Questionnaire (SCQ) - Lifetime Clinical Assessments 86
Social Responsiveness Scale (SRS) - Adult/Self Version Clinical Assessments 41
State-Trait Anxiety Inventory for Adults Clinical Assessments 129
Structured Clinical Interview for DSM-IV Clinical Assessments 150
Structured Clinical Interview for the Positive and Negative Syndrome Scale Clinical Assessments 136
WASI-2 Clinical Assessments 167

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
38340278Create StudySocial Anhedonia Accounts for Greater Variance in Internalizing Symptoms than Autism Symptoms in Autistic and Non-Autistic Youth.Journal of autism and developmental disordersH Gerber, Alan; W Griffin, Jason; M Keifer, Cara; D Lerner, Matthew; C McPartland, JamesFebruary 10, 2024Not Determined
37638733Create StudyDevelopment of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children.Autism research : official journal of the International Society for Autism ResearchFinn, Caroline E; Han, Gloria T; Naples, Adam J; Wolf, Julie M; McPartland, James CNovember 1, 2023Not Determined
36568688Create StudyElectrophysiological Studies of Reception of Facial Communication in Autism Spectrum Disorder and Schizophrenia.Review journal of autism and developmental disordersLevy, Emily J; Foss-Feig, Jennifer; Isenstein, Emily L; Srihari, Vinod; Anticevic, Alan; Naples, Adam J; McPartland, James CDecember 1, 2022Not Determined
36350848Create StudyNeural correlates of eye contact and social function in autism spectrum disorder.PloS oneHirsch, Joy; Zhang, Xian; Noah, J Adam; Dravida, Swethasri; Naples, Adam; Tiede, Mark; Wolf, Julie M; McPartland, James CJanuary 1, 2022Not Determined
36309762Create StudyPredictability modulates neural response to eye contact in ASD.Molecular autismNaples, Adam J; Foss-Feig, Jennifer H; Wolf, Julie M; Srihari, Vinod H; McPartland, James COctober 29, 2022Not Determined
35821544Create StudyBrief Report: A Specialized Fitness Program for Individuals with Autism Spectrum Disorder Benefits Physical, Behavioral, and Emotional Outcomes.Journal of autism and developmental disordersJackson, Scott L J; Abel, Emily A; Reimer, Shara; McPartland, James CJuly 11, 2022Not Determined
35752729Create StudyDistinct Symptom Network Structure and Shared Central Social Communication Symptomatology in Autism and Schizophrenia: A Bayesian Network Analysis.Journal of autism and developmental disordersHan, Gloria T; Trevisan, Dominic A; Foss-Feig, Jennifer; Srihari, Vinod; McPartland, James CSeptember 1, 2023Not Determined
35616816Create StudyBrief Report: Exploratory Evaluation of Clinical Features Associated with Suicidal Ideation in Youth with Autism Spectrum Disorder.Journal of autism and developmental disordersEllison, Kimberly S; Jarzabek, Elzbieta; Jackson, Scott L J; Naples, Adam; McPartland, James CFebruary 1, 2024Not Determined
34180705Create StudyFace perception predicts affective theory of mind in autism spectrum disorder but not schizophrenia or typical development.Journal of abnormal psychologyAltschuler, Melody R; Trevisan, Dominic A; Wolf, Julie M; Naples, Adam J; Foss-Feig, Jennifer H; Srihari, Vinod H; McPartland, James CMay 1, 2021Not Determined
34043128Create StudyLooking Back at the Next 40 Years of ASD Neuroscience Research.Journal of autism and developmental disordersMcPartland, James C; Lerner, Matthew D; Bhat, Anjana; Clarkson, Tessa; Jack, Allison; Koohsari, Sheida; Matuskey, David; McQuaid, Goldie A; Su, Wan-Chun; Trevisan, Dominic ADecember 1, 2021Not Determined
33882266Create StudyModeling temporal dynamics of face processing in youth and adults.Social neuroscienceHudac, Caitlin M; Naples, Adam; DesChamps, Trent D; Coffman, Marika C; Kresse, Anna; Ward, Tracey; Mukerji, Cora; Aaronson, Benjamin; Faja, Susan; McPartland, James C; Bernier, RaphaelAugust 1, 2021Not Determined
33539164Create StudyEye see what you''re saying: Contrastive use of beat gesture and pitch accent affects online interpretation of spoken discourse.Journal of experimental psychology. Learning, memory, and cognitionMorett, Laura M; Fraundorf, Scott H; McPartland, James CSeptember 1, 2021Not Determined
33073404Create StudyContrast Is in the Eye of the Beholder: Infelicitous Beat Gesture Increases Cognitive Load During Online Spoken Discourse Comprehension.Cognitive scienceMorett, Laura M; Roche, Jennifer M; Fraundorf, Scott H; McPartland, James COctober 1, 2020Not Determined
32818527Create StudyN400 amplitude, latency, and variability reflect temporal integration of beat gesture and pitch accent during language processing.Brain researchMorett, Laura M; Landi, Nicole; Irwin, Julia; McPartland, James CNovember 2020Not Determined
32595540Create StudyAutism Spectrum Disorder and Schizophrenia Are Better Differentiated by Positive Symptoms Than Negative Symptoms.Frontiers in psychiatryTrevisan, Dominic A; Foss-Feig, Jennifer H; Naples, Adam J; Srihari, Vinod; Anticevic, Alan; McPartland, James CJanuary 1, 2020Not Determined
32362842Create StudyThe Presence of Another Person Influences Oscillatory Cortical Dynamics During Dual Brain EEG Recording.Frontiers in psychiatryRolison, Max J; Naples, Adam J; Rutherford, Helena J V; McPartland, James CJanuary 1, 2020Not Determined
31734588Create StudyAutistic and alexithymic traits modulate distinct aspects of face perception.Brain and cognitionDesai, Aishani; Foss-Feig, Jennifer H; Naples, Adam J; Coffman, Marika; Trevisan, Dominic A; McPartland, James CDecember 2019Not Determined
31238701Create StudySelf-reported social impairments predict depressive disorder in adults with autism spectrum disorder.Autism : the international journal of research and practiceDay, Talena C; McNaughton, Kathryn A; Naples, Adam J; McPartland, James CFebruary 2020Not Determined
30391290Create StudyReply to: Can the N170 Be Used as an Electrophysiological Biomarker Indexing Face Processing Difficulties in Autism Spectrum Disorder?Biological psychiatry. Cognitive neuroscience and neuroimagingKang, Erin; McPartland, James C; Keifer, Cara M; Foss-Feig, Jennifer H; Levy, Emily J; Lerner, Matthew DMarch 2019Not Determined
30097597Create StudyResting-state alpha power is selectively associated with autistic traits reflecting behavioral rigidity.Scientific reportsCarter Leno, Virginia; Tomlinson, Samuel B; Chang, Shou-An A; Naples, Adam J; McPartland, James CAugust 2018Not Determined
30092916Create StudyAtypicality of the N170 Event-Related Potential in Autism Spectrum Disorder: A Meta-analysis.Biological psychiatry. Cognitive neuroscience and neuroimagingKang, Erin; Keifer, Cara M; Levy, Emily J; Foss-Feig, Jennifer H; McPartland, James C; Lerner, Matthew DAugust 2018Not Determined
29436853Create StudyElectrophysiological response during auditory gap detection: Biomarker for sensory and communication alterations in autism spectrum disorder?Developmental neuropsychologyFoss-Feig, Jennifer H; Stavropoulos, Katherine K M; McPartland, James C; Wallace, Mark T; Stone, Wendy L; Key, Alexandra PJanuary 2018Not Determined
28695438Create StudyDeveloping Clinically Practicable Biomarkers for Autism Spectrum Disorder.Journal of autism and developmental disordersMcPartland, James CSeptember 2017Not Relevant
28586261Create StudyModulation of reward in a live social context as revealed through interactive social neuroscience.Social neuroscienceRolison, Max J; Naples, Adam J; Rutherford, Helena J V; McPartland, James CAugust 2018Not Determined
28434615Create StudySearching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders.Biological psychiatryFoss-Feig, Jennifer H; Adkinson, Brendan D; Ji, Jie Lisa; Yang, Genevieve; Srihari, Vinod H; McPartland, James C; Krystal, John H; Murray, John D; Anticevic, AlanMay 2017Not Relevant
28396215Create StudyEvent-related potentials index neural response to eye contact.Biological psychologyNaples, Adam J; Wu, Jia; Mayes, Linda C; McPartland, James CJuly 2017Not Determined
27750521Create StudyAutistic traits modulate conscious and nonconscious face perception.Social neuroscienceStavropoulos, Katherine K M; Viktorinova, Michaela; Naples, Adam; Foss-Feig, Jennifer; McPartland, James CFebruary 2018Not Determined
27692259Create StudyTranslating neuroscience to the front lines: point-of-care detection of neuropsychiatric disorders.The lancet. PsychiatryDasgupta, Jayashree; Bhavnani, Supriya; Estrin, Georgia Lockwood; Mukherjee, Debarati; Banerjee, Arpan; Belmonte, Matthew K; Chakrabarti, Bhismadev; Divan, Gauri; Dawson, Geraldine; Johnson, Mark H; McPartland, James C; Singh, Nandini C; Patel, VikramOctober 2016Not Determined
26844621Create StudyConsiderations in biomarker development for neurodevelopmental disorders.Current opinion in neurologyMcpartland JCApril 2016Not Relevant
26497770Create StudyMoving beyond a categorical diagnosis of autism.The Lancet. NeurologyVolkmar, Fred R; McPartland, James CMarch 2016Not Determined
26471250Create StudyCommon and distinct modulation of electrophysiological indices of feedback processing by autistic and psychopathic traits.Social neuroscienceCarter Leno, Virginia; Naples, Adam; Cox, Anthony; Rutherford, Helena; McPartland, James CJanuary 2016Not Determined
26386742Create StudyBringing neuroscience to teaching rounds: Refreshing our clinical pidgin.Asian journal of psychiatrySrihari VHOctober 2015Not Determined
26267330Create StudyRe-conceptualizing ASD Within a Dimensional Framework: Positive, Negative, and Cognitive Feature Clusters.Journal of autism and developmental disordersFoss-Feig, Jennifer H; McPartland, James C; Anticevic, Alan; Wolf, JulieJanuary 2016Not Relevant
25752905Create StudyDiminished social reward anticipation in the broad autism phenotype as revealed by event-related brain potentials.Social cognitive and affective neuroscienceCox, Anthony; Kohls, Gregor; Naples, Adam J; Mukerji, Cora E; Coffman, Marika C; Rutherford, Helena J V; Mayes, Linda C; McPartland, James COctober 2015Not Determined
25663602Create StudyToo Late and Too Little: Narratives of Treatment Disconnect in Early Psychosis.The Psychiatric quarterlyVan Schalkwyk GI, Davidson L, Srihari VDecember 2015Not Determined

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
ADOS info icon
Reading the Mind in the Eyes info icon
Social Responsiveness Scale (SRS) info icon
Wechsler Abbreviated Scale of Intelligence (WASI) info icon
Autistic Spectrum Quotient info icon
Social Communication Questionnaire (SCQ) info icon
Broad Autism Phenotype Questionnaire (BAPQ) info icon
Structured Clinical Interview for DSM (SCID) info icon
Positive and Negative Syndrome Scale (PANSS) info icon
Scales for the Assessment of Positive/Negative Symptoms info icon
Benton Facial Recognition Test (BFRT) info icon
Physical Exam info icon
Schizotypal Personality Questionnaire info icon
Glasgow Sensory Questionnaire (GSQ) info icon
State-Trait Anxiety Inventory for Adults info icon
Sensory Gating Inventory (SGI) info icon
Mini-International Neuropsychiatric Interview (MINI) info icon
Beck Anxiety Inventory 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
The Frequency of Symptom-Based Phenotypes of Mental Disorders is Long-TailedThe heterogeneity of symptoms among individuals diagnosed with the same mental disorder has been blamed to hinder research in mental health and the development of effective treatments. Although widely acknowledged as problematic, the characteristics of this heterogeneity are largely unknown. We assessed the frequency of symptom phenotypes across a variety of clinical and non-clinical populations and found a consistent, long-tailed distribution. This distribution represents a mixture of a few very commonly expressed phenotypes and the sum of many, each only rarely displayed ones. As a consequence, the non-normality of this distribution induces a systematic bias, affecting all research and treatments relying on a symptom-based definition of mental disorders. 136/5743Secondary AnalysisShared
Investigating autism etiology and heterogeneity by decision tree algorithmAutism spectrum disorder (ASD) is a neurodevelopmental disorder that causes deficits in cognition, communication and social skills. ASD, however, is a highly heterogeneous disorder. This heterogeneity has made identifying the etiology of ASD a particularly difficult challenge, as patients exhibit a wide spectrum of symptoms without any unifying genetic or environmental factors to account for the disorder. For better understanding of ASD, it is paramount to identify potential genetic and environmental risk factors that are comorbid with it. Identifying such factors is of great importance to determine potential causes for the disorder, and understand its heterogeneity. Existing large-scale datasets offer an opportunity for computer scientists to undertake this task by utilizing machine learning to reliably and efficiently obtain insight about potential ASD risk factors, which would in turn assist in guiding research in the field. In this study, decision tree algorithms were utilized to analyze related factors in datasets obtained from the National Database for Autism Research (NDAR) consisting of nearly 3000 individuals. We were able to identify 15 medical conditions that were highly associated with ASD diagnoses in patients; furthermore, we extended our analysis to the family medical history of patients and we report six potentially hereditary medical conditions associated with ASD. Associations reported had a 90% accuracy. Meanwhile, gender comparisons highlighted conditions that were unique to each gender and others that overlapped. Those findings were validated by the academic literature, thus opening the way for new directions for the use of decision tree algorithms to further understand the etiology of autism. 6/3382Secondary AnalysisShared
Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findingsFemales with autism spectrum disorder (ASD) have been long overlooked in neuroscience research, but emerging evidence suggests they show distinct phenotypic trajectories and age-related brain differences. Sex-related biological factors (e.g., hormones, genes) may play a role in ASD etiology and have been shown to influence neurodevelopmental trajectories. Thus, a lifespan approach is warranted to understand brain-based sex differences in ASD. This systematic review on MRI-based sex differences in ASD was conducted to elucidate variations across the lifespan and inform biomarker discovery of ASD in females. We identified articles through two database searches. Fifty studies met criteria and underwent integrative review. We found that regions expressing replicable sex-by-diagnosis differences across studies overlapped with regions showing sex differences in neurotypical (NT) cohorts, in particular regions showing NT male>female volumes. Furthermore, studies investigating age-related brain differences across a broad age-span suggest distinct neurodevelopmental patterns in females with ASD. Qualitative comparison across youth and adult studies also supported this hypothesis. However, many studies collapsed across age, which may mask differences. Furthermore, accumulating evidence supports the female protective effect in ASD, although only one study examined brain circuits implicated in “protection.” When synthesized with the broader literature, brain-based sex differences in ASD may come from various sources, including genetic and endocrine processes involved in brain “masculinization” and “feminization” across early development, puberty, and other lifespan windows of hormonal transition. Furthermore, sex-related biology may interact with peripheral processes, in particular the stress axis and brain arousal system, to produce distinct neurodevelopmental patterns in males and females with ASD. Future research on neuroimaging-based sex differences in ASD would benefit from a lifespan approach in well-controlled and multivariate studies. Possible relationships between behavior, sex hormones, and brain development in ASD remain largely unexamined.9/759Secondary AnalysisShared
Face-processing performance is an independent predictor of social affect as measured by the Autism Diagnostic Observation Schedule across large-scale datasetsFace-processing deficits, while not required for the diagnosis of Autism Spectrum Disorder (ASD), have been associated with impaired social skills—a core feature of ASD; however, the strength and prevalence of this relationship remains unclear. Across 445 participants from the NIMH Data Archive, we examined the relationship between Benton Face Recognition Test (BFRT) performance and Autism Diagnostic Observation Schedule-Social Affect (ADOS-SA) scores. Lower BFRT scores (worse face-processing performance) were associated with higher ADOS-SA scores (higher ASD severity)–a relationship that held after controlling for other factors associated with face processing, i.e., age, sex, and IQ. These findings underscore the utility of face discrimination, not just recognition of facial emotion, as a key covariate for the severity of symptoms that characterize ASD.135/445Secondary AnalysisShared
comparing EEG metrics during eyes closed versus eyes open rest in autismUnderstanding the complex relationship between brain dynamics and mental disorders has proved difficult. Sample sizes have often been small, and brain dynamics have often been evaluated in only one state. Here, data obtained from the NIMH data archive were used to create a sample of 395 individuals with both eyes open and eyes closed resting state EEG data. All data were submitted to a standard pipeline to extract power spectra, peak alpha frequency, the slope of the 1/f curve, multi scale sample entropy, phase amplitude coupling, and intersite phase clustering. These data along with the survey data collected at the time of data collection form a valuable resource for interogating the relationship between brain state changes and autism diagnosis.3/336Secondary AnalysisShared
Cortico-Basal Ganglia Brain Structure and Links to Restricted, Repetitive Behavior in Autism Spectrum DisorderRestricted repetitive behavior (RRB) is one of two criteria domains required for the diagnosis of autism spectrum disorder (ASD). Neuroimaging is widely used to study brain alterations associated with ASD and the domain of social and communication deficits, but there has been less work regarding alterations associated with RRB. In this study we utilized neuroimaging data available from the National Database for Autism Research to assess volume in the basal ganglia and cerebellum, as well as microstructure in basal ganglia and cerebellar white matter tracts in ASD. We also investigated whether these measures differed between males and females with ASD, and how these factors correlated with clinical measures of RRB from the same individuals. We found that individuals with ASD had significant differences in free-water corrected fractional anisotropy (FAT) and free-water in cortico-basal ganglia white matter tracts, but that these measures did not differ between males versus females with ASD. Moreover, both FAT and free-water in these tracts were significantly correlated with measures of RRB. Despite no differences in volumetric measures in basal ganglia and cerebellum, these findings suggest the links between RRB and brain structure are within specific cortico-basal ganglia white matter tracts.2/192Secondary AnalysisShared
* Data not on individual level

NDA Help Center

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.


  • 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.