NIMH Data Archive - Data

Genomics

Neuroimaging

Phenotype¹

New Trial
Clinical Trial

¹ Numbers reported are subjects by age

New Project
Grant/Project Number

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

Collection - Use Existing Experiment

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

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

Select	Experiment Id	Experiment Name	Experiment Type	Created On

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

Collection - Add Experiment

Add Supporting Documentation

Funding Source:
URL:

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

Use/Modify Existing Data Structure

Request New Data Structure

Targeted Enrollment:

Initial Submission Date:

Initial Share Date:

Data Structure Search:

Data Structures:

Submit

Request Submission Exemption

Not Eligible

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

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

Collection Updated

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

[CMS] Error

[CMS]

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

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

Data Expected Item	Original Sharing Date	New Sharing Date

Please provide a reason for this change, which will be sent to the Program Officers listed within this collection:

Explanation must be between 20 and 200 characters in length.

Please press Save or Cancel

Co-occurring ADHD in young children with ASD: Precursors, detection, neural signatures, and early treatment #2776

General
Experiments (2)
Shared Data
Publications (77)
Data Expected (26)
Associated Studies (4)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Co-occurring ADHD in young children with ASD: Precursors, detection, neural signatures, and early treatment
Collection Investigators:	Geraldine Dawson
Collection Description:	Co-occurring ADHD in young children with ASD Precursors, detection, neural signatures, and early treatment Attention deficit hyperactivity disorder ADHD occurs in 40-60 percent of individuals with autism spectrum disorder ASD and substantially contributes to poorer clinical outcomes. Yet, very little research has focused on the overlap of ASD and ADHD during early childhood. Thus, little is known about how these two conditions co-emerge early in life. Given the high prevalence and clinical impact of the comorbidity of ASD and ADHD, the overall goal of the Duke Autism Center of Excellence is to characterize how co-occurring ADHD influences early screening, neural signatures, developmental trajectories, and response to early treatment of young children with ASD. Project 1 will characterize risk factors for and emergence of co-occurring ADHD symptoms in young children at risk for ASD and examine how these symptoms influence early detection and progression of ASD. This project will clarify why children who have co-occurring ADHD are diagnosed at a much later age and inform more effective early detection strategies. Following a large sample of toddlers receiving routine care in Duke pediatric primary clinics N 2800 patients year, Project 1 will prospectively identify children at risk for ASD and collect data on risk factors, ADHD, and developmental outcomes. Project 2 will elucidate shared and distinct neural signatures and attention-related biomarkers related to ASD and ADHD, examine the functional impact of co-occurring ADHD in young children with ASD, and identify precursor characteristics during infancy that are predictive of later emergence of comorbid ASD and ADHD. This project will characterize children with ASD alone, ASD ADHD, ADHD alone, and typically-developing children, using state-of-the-art methods, including neurophysiology, eye-tracking, movement-tracking, and computer vision analysis. Project 3 will evaluate a novel early intervention model personalized for young children with ASD ADHD that pharmacologically addresses ADHD symptoms prior to initiating early behavioral intervention, and identify changes in behavioral and neurophysiological activity that may underlie response to treatment. This project will accomplish these goals by evaluating whether stimulant treatment Adzenys-XR-ODT augments the efficacy of a parent-delivered behavioral intervention based on the Early Start Denver Model. This project will examine whether changes in outcome are correlated with improvements in social attention, measured via eye-tracking biomarkers, and social engagement during parent-child interaction. This project will also examine neurophysiological changes underlying improvements in behavior. These projects will be supported by four cores Administrative Core, Recruitment and Assessment Core, Data Management and Analysis Core,and Dissemination and Outreach Core. Functioning as a whole, the Duke Autism Center of Excellence will offer the most comprehensive understanding to date of the impact of ADHD on young children with ASD, providing important information that will allow for biologically informed and personalized methods for early detection and treatment that could mitigate the negative impact of co-occurring ADHD on individuals with ASD.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	10/17/2017
NIH Research Initiative:	Autism Centers of Excellence (ACE)
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$2,619,232.00
Subjects Shared:	3,310
Collection DOI:	10.15154/k09f-2n50

{"values":[]}

Loading Chart...

Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Title	Start Date	Original End Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
P50HD093074-01	Co-occurring ADHD in young children with ASD: Precursors, detection, neural signatures, and early treatment	09/07/2017	07/31/2022	07/31/2022	46243	11639	DUKE UNIVERSITY	$2,619,232.00

Clinical Trials:

helpcenter.collection.general-tab

Collection - General Tab

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

Collection Title
Investigators
Collection Description
Collection Phase
Funding Source
Clinical Trials

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

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

Blinded Clinical Trial Status:

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

Funding Source

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

Supporting Documentation

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

Grant Information

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

Clinical Trials

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

Frequently Asked Questions

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

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

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

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

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

Glossary

Administrator Privilege

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

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

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

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

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

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

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

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

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

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

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

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

Contact NDA Help Desk

ID	Name	Created Date	Status	Type
891	Duke ACE ET	03/02/2018	Approved	Eye Tracking
1622	Duke ACE Resting EEG	12/21/2020	Approved	EEG

helpcenter.collection.experiments-tab

Collection - Experiments

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

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

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

Frequently Asked Questions

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

Glossary

Experiment Status

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

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

Contact NDA Help Desk

Shared Data:

Title	Type	Number of Subjects
ACE Family Medical History	Clinical Assessments	2090
ACE Subject Medical History	Clinical Assessments	2050
ACE Subject Physical Exam	Clinical Assessments	18
ADHD Rating Scale	Clinical Assessments	1168
Aberrant Behavior Checklist (ABC) - Community	Clinical Assessments	222
Autism Diagnostic Interview, Revised (ADI-R)	Clinical Assessments	178
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 1	Clinical Assessments	31
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 2	Clinical Assessments	37
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 3	Clinical Assessments	83
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Toddler Module	Clinical Assessments	54
BRIEF II	Clinical Assessments	175
BRIEF-Preschool	Clinical Assessments	49
Caregiver Strain Questionnaire	Clinical Assessments	38
Child Behavior Checklist (CBCL) 1-5	Clinical Assessments	1985
Child Behavior Checklist (CBCL) 6-18	Clinical Assessments	174
Child's Sleep Habits Questionnaire (CSHQ)	Clinical Assessments	204
Children's Behavior Questionnaire Short Form	Clinical Assessments	206
Clinical Global Impression (CGI)	Clinical Assessments	15
DAS-II: Differential Ability Scales 2nd Ed. School Age	Clinical Assessments	55
DAS-II:Differential Ability Scales 2nd Ed. Early Years	Clinical Assessments	148
DSM-5 Checklist	Clinical Assessments	341
ECG Results	Clinical Assessments	19
EEG Subject Files	Imaging	187
Eye Tracking Subject-Experiment	Imaging	187
Leiter-3	Clinical Assessments	110
Mini-International Neuropsychiatric Interview for Children and Adolescents (MINI Kid)	Clinical Assessments	269
Modified Checklist for Autism in Toddlers, Revised with Follow-Up	Clinical Assessments	2893
Mullen Scales of Early Learning	Clinical Assessments	77
Research Subject	Clinical Assessments	3310
SRS-2. Adult, Preschool and School Age	Clinical Assessments	1136
Sensory Experiences Questionnaire	Clinical Assessments	204
Spence Children's Anxiety Scale	Clinical Assessments	164
Vineland 3	Clinical Assessments	523

helpcenter.collection.shared-data-tab

Collection - Shared Data

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

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

Frequently Asked Questions

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

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

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

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

Glossary

Data Structure

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

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

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

Contact NDA Help Desk

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

Publications

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

PubMed ID	Study	Title	Journal	Authors	Date	Status
41656698	Create Study	The Relationship Between the Survey of Well-being of Young Children and Speech-language Delay Diagnosis.	Journal of developmental and behavioral pediatrics : JDBP	Kasambira Fannin, Danai; Shu, Jiang; Dawson, Geraldine; Maslow, Gary; Goldstein, Benjamin A; Franz, Lauren	February 9, 2026	Not Determined
41510190	Create Study	Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation.	Proceedings of machine learning research	Yan, Mengying; Xia, Meng; Huang, Wei A; Hong, Chuan; Goldstein, Benjamin A; Engelhard, Matthew M	June 1, 2025	Not Determined
41340982	Create Study	FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport.	Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society	Liu, Pengxi; Shen, Yi; Engelhard, Matthew M; Goldstein, Benjamin A; Pencina, Michael J; Economou-Zavlanos, Nicoleta J; Zavlanos, Michael M	October 1, 2025	Not Determined
41306332	Create Study	Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning.	Proceedings of machine learning research	Sun, Minghui; Engelhard, Matthew M; Goldstein, Benjamin A	August 1, 2025	Not Determined
41221373	Create Study	Using mixture cure models to address algorithmic bias in diagnostic timing: autism as a test case.	JAMIA open	Wu, Peng; Davis, Naomi O; Engelhard, Matthew M; Dawson, Geraldine; Goldstein, Benjamin A	December 1, 2025	Not Determined
40846872	Create Study	Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli.	Scientific reports	Isaev, Dmitry Yu; Major, Samantha; Carpenter, Kimberly L H; Grapel, Jordan; Chang, Zhuoqing; Di Martino, Matias; Carlson, David; Dawson, Geraldine; Sapiro, Guillermo	August 22, 2025	Not Determined
40640201	Create Study	Attentional and electrophysiological associations with executive function ability in young autistic children.	Scientific reports	Leahy, Caroline; Major, Samantha; Howard, Jill; Carpenter, Kimberly L H; Tenenbaum, Elena; Franz, Lauren; Vermeer, Saritha; Grapel, Jordan; Compton, Scott; Spanos, Marina; Dawson, Geraldine	July 10, 2025	Not Determined
40631962	Create Study	Assessment of Attention-Deficit/Hyperactivity Disorder in Young Autistic Children.	Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53	Davis, Naomi O; Carpenter, Kimberly L H; Sabatos-DeVito, Maura; Spanos, Marina; Reed, Alexander; Aiello, Rachel E; Schechter, Julia C; Chandrasekhar, Tara; Compton, Scott; Franz, Lauren; Goldstein, Benjamin A; Howard, Jill; Vermeer, Saritha; Sikich, Linmarie; Kollins, Scott H; Dawson, Geraldine	January 1, 2026	Not Determined
40605770	Create Study	Limitations of Binary Classification for Long-Horizon Diagnosis Prediction and Advantages of a Discrete-Time Time-to-Event Approach: Empirical Analysis.	JMIR AI	Loh, De Rong; Hill, Elliot D; Liu, Nan; Dawson, Geraldine; Engelhard, Matthew M	March 27, 2025	Not Determined
40521253	Create Study	A Developmental Social Neuroscience Perspective on Infant Autism Interventions.	Annual review of developmental psychology	Dawson, Geraldine; Rieder, Amber D; Johnson, Mark H	December 1, 2023	Not Determined
40438470	Create Study	Validation of a Mobile App for Remote Autism Screening in Toddlers.	NEJM AI	Krishnappa Babu, Pradeep Raj; Di Martino, J Matias; Aiello, Rachel; Eichner, Brian; Espinosa, Steven; Green, Jennifer; Howard, Jill; Perochon, Sam; Spanos, Marina; Vermeer, Saritha; Dawson, Geraldine; Sapiro, Guillermo	October 1, 2024	Not Determined
40176346	Create Study	Autism Digital Phenotyping in Preschool- and School-Age Children.	Autism research : official journal of the International Society for Autism Research	Aikat, Vikram; Carpenter, Kimberly L H; Babu, Pradeep Raj Krishnappa; Di Martino, J Matias; Espinosa, Steven; Compton, Scott; Davis, Naomi; Franz, Lauren; Spanos, Marina; Sapiro, Guillermo; Dawson, Geraldine	June 1, 2025	Not Determined
39455733	Create Study	Model selection to achieve reproducible associations between resting state EEG features and autism.	Scientific reports	Carson 4th, William E; Major, Samantha; Akkineni, Harshitha; Fung, Hannah; Peters, Elias; Carpenter, Kimberly L H; Dawson, Geraldine; Carlson, David E	October 25, 2024	Not Determined
39398495	Create Study	Integrating tailored approaches in perioperative care strategies for neurodivergent individuals.	EClinicalMedicine	Moreno-Duarte, Ingrid; Brandsen, Sam; Dawson, Geraldine; Einhorn, Lisa M; Swaminathan, Madhav	October 1, 2024	Not Determined
39373883	Create Study	Factors Associated with Caregivers'' Decisions to Pursue a Diagnostic Evaluation After a Positive Autism Screen in Primary Care.	Journal of autism and developmental disorders	Zhu, YiQin; Davis, Naomi O; Franz, Lauren; Goldstein, Benjamin; Green, Jennifer; Herkert, Darby; Howard, Jill; Reed, Alexander; Spanos, Marina; Dawson, Geraldine	October 7, 2024	Not Determined
39227035	Create Study	Behavioral characteristics of toddlers later identified with an autism diagnosis, ADHD symptoms, or combined autism and ADHD symptoms.	Journal of child psychology and psychiatry, and allied disciplines	Davis, Naomi O; Lerebours, Reginald; Aiello, Rachel E; Carpenter, Kimberly L H; Compton, Scott; Franz, Lauren; Kollins, Scott H; Sabatos-DeVito, Maura; Spanos, Marina; Dawson, Geraldine	February 1, 2025	Not Determined
39182632	Create Study	A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis.	Journal of biomedical informatics	Huang, Wei A; Engelhard, Matthew; Coffman, Marika; Hill, Elliot D; Weng, Qin; Scheer, Abby; Maslow, Gary; Henao, Ricardo; Dawson, Geraldine; Goldstein, Benjamin A	September 1, 2024	Not Determined
38995481	Create Study	Brief Report: Relationships Between Caregiver-Reported Externalizing and Internalizing Behaviors and the Modified Checklist for Autism in Toddlers.	Journal of autism and developmental disorders	Marryat, Jane; Davis, Naomi O; Lerebours, Reginald; Carpenter, Kimberly L H; Compton, Scott; Eichner, Brian; Franz, Lauren; Kollins, Scott H; Spanos, Marina; Dawson, Geraldine	July 12, 2024	Not Determined
38900723	Create Study	Cognitive Disengagement Syndrome in Young Autistic Children, Children with ADHD, and Autistic Children with ADHD.	Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53	Carpenter, Kimberly L H; Davis, Naomi O; Spanos, Marina; Sabatos-DeVito, Maura; Aiello, Rachel; Compton, Scott N; Franz, Lauren; Schechter, Julia C; Summers, Jessica; Dawson, Geraldine	January 1, 2026	Not Determined
38284311	Create Study	Prevalence of bias against neurodivergence-related terms in artificial intelligence language models.	Autism research : official journal of the International Society for Autism Research	Brandsen, Sam; Chandrasekhar, Tara; Franz, Lauren; Grapel, Jordan; Dawson, Geraldine; Carlson, David	February 1, 2024	Not Determined
37909391	Create Study	Sex differences in the age of childhood autism diagnosis and the impact of co-occurring conditions.	Autism research : official journal of the International Society for Autism Research	Gu, Zhengyi; Dawson, Geraldine; Engelhard, Matthew	December 1, 2023	Not Determined
37838915	Create Study	Prevalence and nature of prior developmental and medical concerns in toddlers who screen positive for autism in primary care.	Autism : the international journal of research and practice	Herkert, Darby; Sullivan, Connor; Zhu, YiQin; Dawson, Geraldine	November 1, 2023	Not Determined
37786644	Create Study	Computer vision and behavioral phenotyping: an autism case study.	Current opinion in biomedical engineering	Sapiro, Guillermo; Hashemi, Jordan; Dawson, Geraldine	March 1, 2019	Not Determined
37783967	Create Study	Early detection of autism using digital behavioral phenotyping.	Nature medicine	Perochon, Sam; Di Martino, J Matias; Carpenter, Kimberly L H; Compton, Scott; Davis, Naomi; Eichner, Brian; Espinosa, Steven; Franz, Lauren; Krishnappa Babu, Pradeep Raj; Sapiro, Guillermo; Dawson, Geraldine	October 1, 2023	Not Determined
37668633	Create Study	Could an Eye-Tracking Test Aid Clinicians in Making an Autism Diagnosis?: New Findings and a Look to the Future.	JAMA	Dawson, Geraldine	September 5, 2023	Not Determined

helpcenter.collection.publications-tab

Collection - Publications

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

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

Frequently Asked Questions

How can I determine if a publication is relevant?

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

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

Glossary

Create Study

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

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

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

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

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

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

Contact NDA Help Desk

Data Expected List: Mandatory Data Structures

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

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

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Research Subject and Pedigree	3,310	10/15/2018	3,310	11/15/2018	3,310	Approved

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

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

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

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

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

Data Expected List: Data Structures per Research Aims

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

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Mullen Scales of Early Learning	77	01/27/2023	77	11/28/2023	77	Approved
ABC Community	222	01/27/2023	222	11/28/2023	222	Approved
Leiter International Performance Scale-Revised (Leiter-R)	110	01/27/2023	110	11/28/2023	110	Approved
ADOS	205	01/27/2023	205	11/28/2023	205	Approved
ADI-R	192	01/27/2023	178	11/28/2023	178	Approved
Medical History	639	10/15/2018	2,128	11/15/2018	2,128	Approved
Eye Tracking	187	01/23/2023	187	11/28/2023	187	Approved
Social Responsiveness Scale (SRS)	1,000	01/27/2023	1,136	11/28/2023	1,136	Approved
Sensory Experiences Questionnaire (SEQ)	224	01/27/2023	204	11/28/2023	204	Approved
Child Behavior Checklist (CBCL)	2,155	01/27/2023	2,155	11/28/2023	2,155	Approved
M-CHAT	2,800	01/27/2023	2,893	11/28/2023	2,893	Approved
Clinical Global Impression (CGI)	15	01/27/2023	15	11/28/2023	15	Approved
Childs Sleep Habits Questionnaire (CSHQ)	224	01/27/2023	204	11/28/2023	204	Approved
Spence Childrens Anxiety Scale	20	01/27/2023	164	11/28/2023	164	Approved
DAS-II: Differential Ability Scales	168	01/27/2023	203	11/28/2023	203	Approved
Caregiver Strain Questionnaire	35	01/27/2023	38	11/28/2023	38	Approved
Childrens Behavior Questionnaire (CBQ)	224	01/27/2023	206	11/28/2023	206	Approved
Physical Exam	18	07/15/2019	18	10/15/2019	18	Approved
Behavior Rating Inventory of Executive Function (BRIEF)	220	01/27/2023	222	11/28/2023	222	Approved
DSM-5 Checklist	340	01/27/2023	341	11/28/2023	341	Approved
ADHD Rating Scale	1,000	01/27/2023	1,168	11/28/2023	1,168	Approved
Vineland (Parent and Caregiver)	520	01/27/2023	523	11/28/2023	523	Approved
ECG	18	01/27/2023	19	11/28/2023	19	Approved
EEG	185	01/27/2023	187	11/28/2023	187	Approved
Mini-International Neuropsychiatric Interview for Children and Adolescents (MINI Kid)	112	07/31/2022	269	11/28/2023	269	Approved

Structure not yet defined

No Status history for this Data Expected has been recorded yet

helpcenter.collection.data-expected-tab

Collection - Data Expected

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

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

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

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

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

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

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

Frequently Asked Questions

What is an NDA Data Structure?

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

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

Glossary

Analyzed Data

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

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

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

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

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

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

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

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

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

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

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

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

Contact NDA Help Desk

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

Associated Studies

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

Study NameFilter by Study Name	DOIFilter by DOI	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
Examining Diagnostic Trends and Gender Differences in the ADOS-II	10.15154/jxd2-vw05	Approximately 3–4 boys for every girl meet the clinical criteria for autism in studies of community diagnostic patterns and studies of autism using samples of convenience. However, girls with autism have been hypothesized to be underdiagnosed, possibly because they may present with differing symptom profiles as compared to boys. This secondary data analysis used the National Database of Autism Research (NDAR) to examine how gender and symptom profiles are associated with one another in a gold standard assessment of autism symptoms, the Autism Diagnostic Observation Schedule II (ADOS-II; Lord, C., Luyster, R., Guthrie, W., & Pickles A. (2012a). Patterns of developmental trajectories in toddlers with autism spectrum disorder. Journal of Consulting and Clinical Psychology, 80(3):477–489. https://doi.org/10.1037/a0027214. Epub 2012 Apr 16. PMID: 22506796, PMCID: PMC3365612). ADOS-II scores from 6183 children ages 6–14 years from 78 different studies in the NDAR indicated that gender was a significant predictor of total algorithm, restrictive and repetitive behavioral, and social communicative difficulties composite severity scores. These findings suggest that gender differences in ADOS scores are common in many samples and may reflect on current diagnostic practices.	74/5615	Secondary Analysis	Shared
Gender Differences: Confirmatory Factor Analysis of the ADOS-II	10.15154/4sxe-qh09	Purpose Recent research has suggested that autism may present differently in girls compared to boys, encouraging the exploration of a sex-differential diagnostic criteria. Gender differences in diagnostic assessments have been shown on the ADOS-II, such that, on average, females score significantly lower than males on all scales and are less likely to show atypicality on most items related to social communicative difficulties. Yet, gender differences in the latent structure of instruments like the ADOS-II have not been examined systematically. Methods As such, this secondary data analysis examined 4,100 youth diagnosed with autism (Mage = 9.9, 813 female & 3287 male) examined item response trends by gender on the ADOS-II Module 3. Results Multi-Group Confirmatory Factor Analysis results show that the factor loadings of four ADOS-II items differ across the genders. One SCD item and one RRB item are strongly related to the latent factor in the female group, while two RRB items have larger factor loadings in the male group. Conclusion The assumption of an identical latent factor structure for the ADOS-II Module 3 for males and females might not be justifiable. Possible diagnostic implications are discussed.	74/5615	Secondary Analysis	Shared
Prognostic early snapshot stratification of autism based on adaptive functioning	10.15154/0z1c-1d37	A major goal of precision medicine is to predict prognosis based on individualized information at the earliest possible points in development. Using early snapshots of adaptive functioning and unsupervised data- driven discovery methods, we uncover highly stable early autism subtypes that yield information relevant to later prognosis. Data from the National Institute of Mental Health Data Archive (NDA) (n = 1,098) was used to uncover three early subtypes (<72 months) that generalize with 96% accuracy. Outcome data from NDA (n = 2,561; mean age, 13 years) also reproducibly clusters into three subtypes with 99% generalization accuracy. Early snapshot subtypes predict developmental trajectories in non-verbal cognitive, language and motor domains and are predictive of membership in different adaptive functioning outcome subtypes. Robust and prognosis- relevant subtyping of autism based on early snapshots of adaptive functioning may aid future research work via prediction of these subtypes with our reproducible stratification model.	7/3517	Secondary Analysis	Shared
Investigating autism etiology and heterogeneity by decision tree algorithm	10.15154/1518655	Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causes deficits in cognition, communication and social skills. ASD, however, is a highly heterogeneous disorder. This heterogeneity has made identifying the etiology of ASD a particularly difficult challenge, as patients exhibit a wide spectrum of symptoms without any unifying genetic or environmental factors to account for the disorder. For better understanding of ASD, it is paramount to identify potential genetic and environmental risk factors that are comorbid with it. Identifying such factors is of great importance to determine potential causes for the disorder, and understand its heterogeneity. Existing large-scale datasets offer an opportunity for computer scientists to undertake this task by utilizing machine learning to reliably and efficiently obtain insight about potential ASD risk factors, which would in turn assist in guiding research in the field. In this study, decision tree algorithms were utilized to analyze related factors in datasets obtained from the National Database for Autism Research (NDAR) consisting of nearly 3000 individuals. We were able to identify 15 medical conditions that were highly associated with ASD diagnoses in patients; furthermore, we extended our analysis to the family medical history of patients and we report six potentially hereditary medical conditions associated with ASD. Associations reported had a 90% accuracy. Meanwhile, gender comparisons highlighted conditions that were unique to each gender and others that overlapped. Those findings were validated by the academic literature, thus opening the way for new directions for the use of decision tree algorithms to further understand the etiology of autism.	1/3382	Secondary Analysis	Shared

* Data not on individual level

helpcenter.collection.associated-studies-tab

Collection - Associated Studies

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

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

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

Frequently Asked Questions

How do I associate a study to my collection?

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

Glossary

Associated Studies Tab

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

Contact NDA Help Desk

Edit

Choose File:	Select File
File Type:
Description:

Exemption Type*
From Date*
To Date*
Reason*	Characters Remaining:

Disclaimer

Filter Cart

Frequently Asked Questions

Glossary

NDA Help Center

Collection - General Tab

Frequently Asked Questions

Glossary

NDA Help Center

Collection - Experiments

Frequently Asked Questions

Glossary

NDA Help Center

Collection - Shared Data

Frequently Asked Questions

Glossary

Publications

NDA Help Center

Collection - Publications

Frequently Asked Questions

Glossary

NDA Help Center

Collection - Data Expected

Frequently Asked Questions

Glossary

Associated Studies

NDA Help Center

Collection - Associated Studies

Frequently Asked Questions

Glossary

New Password:
Repeat New Password: