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.

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

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

Data Expected Item	Original Sharing Date	New Sharing Date

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Phenotypic Characterization of Gene Disrupting Mutations in ASD #2101

General
Experiments (1)
Shared Data
Publications (47)
Data Expected (8)
Associated Studies (7)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Phenotypic Characterization of Gene Disrupting Mutations in ASD
Collection Investigators:	Raphael Bernier
Collection Description:	Autism spectrum disorder (ASD) is a genetically and phenotypically heterogeneous disorder. Efforts to identifying subtypes based on the behavioral and neural phenotypes have been unsuccessful, and the rarity of specific genetic events renders subtyping at the CNV or exonic mutation level challenging and exceedingly resource-intensive. However, exploring the impact of gene disruptions in common pathways holds promise forelucidating phenotypic subtypes and clarifying genotype-phenotype relations in ASD. Most importantly, the identification of pathway-based subtypes will advance translational goals of selecting interventions, defining treatment targets, and predicting outcomes. The current project aims to investigate the behavioral and neuralphenotype, obtained through electroencephalography (EEG), in pre-identified individuals with ASD with genemutations in the beta-catenin pathway. This project addresses the critical need to understand the pathogenesis of ASD by elucidating the relationship between ASD risk genes, brain function and behavior and the need to address the wide heterogeneity in ASD by careful subtype identification. We will include 60 participants with ASD with gene mutations in the beta-catenin pathway, 60 participants with ASD with gene disruptions falling in other pathways, and 60 participants with ASD without any identified CNVs or gene disrupting mutations along with 30 typical individuals. Given the role of beta-catenin in neuronal adhesion, synapse formation, and in the transcription of target genes linked to cell growth, differentiation, and migration, as well as preliminary evidence of behavioral disruptions in learning and memory, evidence of dysfunction of beta-catenin may be observed at both the behavioral and neurophysiological level. Electrophysiological measures will allow us to specifically address the brain systems related to learning and memory as well as those related to the core features of autism. This research holds promise for discovery of gene-brain-behavior relationships, attained through integration of genotypic, EEG, and behavioral data.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	07/29/2014
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$2,094,080.00
Subjects Shared:	213
Collection DOI:	10.15154/g2cd-kb44

{"values":[]}

{"values":[["Autism Spectrum Affected",10],["Autism Spectrum Severely Affected",24],["Autism Spectrum Mildly Affected",2]]}

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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
R01MH100047-01	Phenotypic Characterization of Gene Disrupting Mutations in ASD	06/07/2014	03/31/2019	07/31/2019	210	187	UNIVERSITY OF WASHINGTON	$2,094,080.00

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
237	EEG Resting	01/14/2015	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
California Verbal Learning Test Part 1	Clinical Assessments	135
Child Behavior Checklist (CBCL) 1-5	Clinical Assessments	17
Child Behavior Checklist (CBCL) 6-18	Clinical Assessments	196
Child/Adolescent Symptom Inventory	Clinical Assessments	213
DAS-II: Differential Ability Scales 2nd Ed. School Age	Clinical Assessments	185
DAS-II:Differential Ability Scales 2nd Ed. Early Years	Clinical Assessments	32
Edinburgh Handedness Inventory	Clinical Assessments	213
Expressive Vocabulary Test	Clinical Assessments	213
Height and Weight	Clinical Assessments	127
Peabody Picture Vocabulary Test, Fourth Edition-Form A	Clinical Assessments	210
Research Subject	Clinical Assessments	213

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
39754656	Create Study	Preserved but Un-Sustained Responses to Bids for Dyadic Engagement in School-Age Children with Autism.	Journal of autism and developmental disorders	Wall, Carla A; Hudac, Caitlin; Dommer, Kelsey; Li, Beibin; Atyabi, Adham; Foster, Claire; Wang, Quan; Barney, Erin; Ahn, Yeojin Amy; Kim, Minah; Mahony, Monique; Bernier, Raphael; Ventola, Pamela; Shic, Frederick	January 4, 2025	Not Determined
39080977	Create Study	Visual and auditory attention in individuals with DYRK1A and SCN2A disruptive variants.	Autism research : official journal of the International Society for Autism Research	Hudac, Caitlin M; Dommer, Kelsey; Mahony, Monique; DesChamps, Trent D; Cairney, Brianna; Earl, Rachel; Kurtz-Nelson, Evangeline C; Bradshaw, Jessica; Bernier, Raphael A; Eichler, Evan E; Neuhaus, Emily; Webb, Sara Jane; Shic, Frederick	May 1, 2025	Not Determined
38809474	Create Study	Predicting Intervention Use in Youth with Rare Variants in Autism-Associated Genes.	Journal of autism and developmental disorders	Benavidez, Hannah R; Johansson, Margaret; Jones, Elizabeth; Rea, Hannah; Kurtz-Nelson, Evangeline C; Miles, Conor; Whiting, Alana; Eayrs, Curtis; Earl, Rachel; Bernier, Raphael A; Eichler, Evan E; Neuhaus, Emily	August 1, 2025	Not Determined
38622540	Create Study	Shared and divergent mental health characteristics of ADNP-, CHD8- and DYRK1A-related neurodevelopmental conditions.	Journal of neurodevelopmental disorders	Neuhaus, Emily; Rea, Hannah; Jones, Elizabeth; Benavidez, Hannah; Miles, Conor; Whiting, Alana; Johansson, Margaret; Eayrs, Curtis; Kurtz-Nelson, Evangeline C; Earl, Rachel; Bernier, Raphael A; Eichler, Evan E	April 15, 2024	Not Determined
37860899	Create Study	Pubertal maturation and timing effects on resting state electroencephalography in autistic and comparison youth.	Developmental psychobiology	Rea, Hannah M; Clawson, Ann; Hudac, Caitlin M; Santhosh, Megha; Bernier, Raphael A; Earl, Rachel K; Pelphrey, Kevin A; Webb, Sara Jane; Neuhaus, Emily; GENDAAR Consortium	November 1, 2023	Not Determined
37497568	Create Study	Characterizing the autism spectrum phenotype in DYRK1A-related syndrome.	Autism research : official journal of the International Society for Autism Research	Kurtz-Nelson, Evangeline C; Rea, Hannah M; Petriceks, Aiva C; Hudac, Caitlin M; Wang, Tianyun; Earl, Rachel K; Bernier, Raphael A; Eichler, Evan E; Neuhaus, Emily	August 1, 2023	Not Determined
37031308	Create Study	Characterizing Sensory Phenotypes of Subgroups with a Known Genetic Etiology Pertaining to Diagnoses of Autism Spectrum Disorder and Intellectual Disability.	Journal of autism and developmental disorders	Hudac, Caitlin M; Friedman, Nicole R; Ward, Victoria R; Estreicher, Rachel E; Dorsey, Grace C; Bernier, Raphael A; Kurtz-Nelson, Evangeline C; Earl, Rachel K; Eichler, Evan E; Neuhaus, Emily	June 1, 2024	Not Determined
34312540	Create Study	Recent ultra-rare inherited variants implicate new autism candidate risk genes.	Nature genetics	Wilfert, Amy B; Turner, Tychele N; Murali, Shwetha C; Hsieh, PingHsun; Sulovari, Arvis; Wang, Tianyun; Coe, Bradley P; Guo, Hui; Hoekzema, Kendra; Bakken, Trygve E; Winterkorn, Lara H; Evani, Uday S; Byrska-Bishop, Marta; Earl, Rachel K; Bernier, Raphael A; SPARK Consortium; Zody, Michael C; Eichler, Evan E	August 1, 2021	Not Determined
34148555	Create Study	Reflections on the genetics-first approach to advancements in molecular genetic and neurobiological research on neurodevelopmental disorders.	Journal of neurodevelopmental disorders	Arnett, Anne B; Wang, Tianyun; Eichler, Evan E; Bernier, Raphael A	June 21, 2021	Not Determined
34088660	Create Study	The CHD8/CHD7/Kismet family links blood-brain barrier glia and serotonin to ASD-associated sleep defects.	Science advances	Coll-Tané, Mireia; Gong, Naihua N; Belfer, Samuel J; van Renssen, Lara V; Kurtz-Nelson, Evangeline C; Szuperak, Milan; Eidhof, Ilse; van Reijmersdal, Boyd; Terwindt, Isabel; Durkin, Jaclyn; Verheij, Michel M M; Kim, Chang N; Hudac, Caitlin M; Nowakowski, Tomasz J; Bernier, Raphael A; Pillen, Sigrid; Earl, Rachel K; Eichler, Evan E; Kleefstra, Tjitske; Kayser, Matthew S; Schenck, Annette	June 1, 2021	Not Determined
33998396	Create Study	Sleep Problems in Children with ASD and Gene Disrupting Mutations.	The Journal of genetic psychology	Earl, Rachel K; Ward, Tracey; Gerdts, Jennifer; Eichler, Evan E; Bernier, Raphael A; Hudac, Caitlin M	September 1, 2021	Not Determined
33882266	Create Study	Modeling temporal dynamics of face processing in youth and adults.	Social neuroscience	Hudac, Caitlin M; Naples, Adam; DesChamps, Trent D; Coffman, Marika C; Kresse, Anna; Ward, Tracey; Mukerji, Cora; Aaronson, Benjamin; Faja, Susan; McPartland, James C; Bernier, Raphael	August 1, 2021	Not Determined
33727758	Create Study	Co-occurring medical conditions among individuals with ASD-associated disruptive mutations.	Children''s health care : journal of the Association for the Care of Children''s Health	Kurtz-Nelson, Evangeline C; Beighley, Jennifer S; Hudac, Caitlin M; Gerdts, Jennifer; Wallace, Arianne S; Hoekzema, Kendra; Eichler, Evan E; Bernier, Raphael A	January 1, 2020	Not Determined
33175317	Create Study	Brief Report: Associations Between Self-injurious Behaviors and Abdominal Pain Among Individuals with ASD-Associated Disruptive Mutations.	Journal of autism and developmental disorders	Kurtz-Nelson, Evangeline C; Tham, See Wan; Ahlers, Kaitlyn; Cho, Daniel; Wallace, Arianne S; Eichler, Evan E; Bernier, Raphael A; Earl, Rachel K	September 1, 2021	Not Determined
32918531	Create Study	Developmental Predictors of Cognitive and Adaptive Outcomes in Genetic Subtypes of Autism Spectrum Disorder.	Autism research : official journal of the International Society for Autism Research	Arnett, Anne B; Beighley, Jennifer S; Kurtz-Nelson, Evangeline C; Hoekzema, Kendra; Wang, Tianyun; Bernier, Raphe A; Eichler, Evan E	October 1, 2020	Not Determined
32912353	Create Study	Transcriptional subtyping explains phenotypic variability in genetic subtypes of autism spectrum disorder.	Development and psychopathology	Trinh, Sandy; Arnett, Anne; Kurtz-Nelson, Evangeline; Beighley, Jennifer; Picoto, Marta; Bernier, Raphael	October 1, 2020	Not Determined
31819782	Create Study	Trauma and Autism Spectrum Disorder: Review, Proposed Treatment Adaptations and Future Directions.	Journal of child & adolescent trauma	Peterson, Jessica L; Earl, Rachel; Fox, Emily A; Ma, Ruqian; Haidar, Ghina; Pepper, Micah; Berliner, Lucy; Wallace, Arianne; Bernier, Raphael	December 2019	Not Determined
31616000	Create Study	Disruptive mutations in TANC2 define a neurodevelopmental syndrome associated with psychiatric disorders.	Nature communications	Guo, Hui; Bettella, Elisa; Marcogliese, Paul C; Zhao, Rongjuan; Andrews, Jonathan C; Nowakowski, Tomasz J; Gillentine, Madelyn A; Hoekzema, Kendra; Wang, Tianyun; Wu, Huidan; Jangam, Sharayu; Liu, Cenying; Ni, Hailun; Willemsen, Marjolein H; van Bon, Bregje W; Rinne, Tuula; Stevens, Servi J C; Kleefstra, Tjitske; Brunner, Han G; Yntema, Helger G; Long, Min; Zhao, Wenjing; Hu, Zhengmao; Colson, Cindy; Richard, Nicolas; Schwartz, Charles E; Romano, Corrado; Castiglia, Lucia; Bottitta, Maria; Dhar, Shweta U; Erwin, Deanna J; Emrick, Lisa; Keren, Boris; Afenjar, Alexandra; Zhu, Baosheng; Bai, Bing; Stankiewicz, Pawel; Herman, Kristin; University of Washington Center for Mendelian Genomics; Mercimek-Andrews, Saadet; Juusola, Jane; Wilfert, Amy B; Abou Jamra, Rami; Büttner, Benjamin; Mefford, Heather C; Muir, Alison M; Scheffer, Ingrid E; Regan, Brigid M; Malone, Stephen; Gecz, Jozef; Cobben, Jan; Weiss, Marjan M; Waisfisz, Quinten; Bijlsma, Emilia K; Hoffer, Mariëtte J V; Ruivenkamp, Claudia A L; Sartori, Stefano; Xia, Fan; Rosenfeld, Jill A; Bernier, Raphael A; Wangler, Michael F; Yamamoto, Shinya; Xia, Kun; Stegmann, Alexander P A; Bellen, Hugo J; Murgia, Alessandra; Eichler, Evan E	October 2019	Not Determined
31526516	Create Study	Clinical Phenotypes of Carriers of Mutations in CHD8 or Its Conserved Target Genes.	Biological psychiatry	Beighley, Jennifer S; Hudac, Caitlin M; Arnett, Anne B; Peterson, Jessica L; Gerdts, Jennifer; Wallace, Arianne S; Mefford, Heather C; Hoekzema, Kendra; Turner, Tychele N; O'Roak, Brian J; Eichler, Evan E; Bernier, Raphael A	January 2020	Not Determined
31272685	Create Study	Habituation Learning Is a Widely Affected Mechanism in Drosophila Models of Intellectual Disability and Autism Spectrum Disorders.	Biological psychiatry	Fenckova, Michaela; Blok, Laura E R; Asztalos, Lenke; Goodman, David P; Cizek, Pavel; Singgih, Euginia L; Glennon, Jeffrey C; IntHout, Joanna; Zweier, Christiane; Eichler, Evan E; von Reyn, Catherine R; Bernier, Raphael A; Asztalos, Zoltan; Schenck, Annette	August 2019	Not Determined
30564305	Create Study	Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model.	Molecular autism	Guo, Hui; Wang, Tianyun; Wu, Huidan; Long, Min; Coe, Bradley P; Li, Honghui; Xun, Guanglei; Ou, Jianjun; Chen, Biyuan; Duan, Guiqin; Bai, Ting; Zhao, Ningxia; Shen, Yidong; Li, Yun; Wang, Yazhe; Zhang, Yu; Baker, Carl; Liu, Yanling; Pang, Nan; Huang, Lian; Han, Lin; Jia, Xiangbin; Liu, Cenying; Ni, Hailun; Yang, Xinyi; Xia, Lu; Chen, Jingjing; Shen, Lu; Li, Ying; Zhao, Rongjuan; Zhao, Wenjing; Peng, Jing; Pan, Qian; Long, Zhigao; Su, Wei; Tan, Jieqiong; Du, Xiaogang; Ke, Xiaoyan; Yao, Meiling; Hu, Zhengmao; Zou, Xiaobing; Zhao, Jingping; Bernier, Raphael A; Eichler, Evan E; Xia, Kun	January 2018	Not Determined
30504930	Create Study	Genome sequencing identifies multiple deleterious variants in autism patients with more severe phenotypes.	Genetics in medicine : official journal of the American College of Medical Genetics	Guo, Hui; Duyzend, Michael H; Coe, Bradley P; Baker, Carl; Hoekzema, Kendra; Gerdts, Jennifer; Turner, Tychele N; Zody, Michael C; Beighley, Jennifer S; Murali, Shwetha C; Nelson, Bradley J; University of Washington Center for Mendelian Genomics; Bamshad, Michael J; Nickerson, Deborah A; Bernier, Raphael A; Eichler, Evan E	July 2019	Not Determined
30405456	Create Study	Gastrointestinal and Psychiatric Symptoms Among Children and Adolescents With Autism Spectrum Disorder.	Frontiers in psychiatry	Neuhaus, Emily; Bernier, Raphael A; Tham, See Wan; Webb, Sara J	January 1, 2018	Not Determined
30312833	Create Study	Auditory perception is associated with implicit language learning and receptive language ability in autism spectrum disorder.	Brain and language	Arnett, Anne B; Hudac, Caitlin M; DesChamps, Trent D; Cairney, Brianna E; Gerdts, Jennifer; Wallace, Arianne S; Bernier, Raphael A; Webb, Sara J	December 2018	Not Determined
30107084	Create Study	The autism spectrum phenotype in ADNP syndrome.	Autism research : official journal of the International Society for Autism Research	Arnett, Anne B; Rhoads, Candace L; Hoekzema, Kendra; Turner, Tychele N; Gerdts, Jennifer; Wallace, Arianne S; Bedrosian-Sermone, Sandra; Eichler, Evan E; Bernier, Raphael A	September 2018	Not Relevant

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	210	07/15/2015	213	11/15/2015	213	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
Expressive Vocabulary Test II (EVT II)	210	01/01/2015	213	05/15/2015	213	Approved
Child and Adolescent Symptom Inventory (CASI)	210	01/01/2015	213	05/15/2015	213	Approved
Child Behavior Checklist (CBCL)	180	01/01/2015	213	05/15/2015	213	Approved
DAS-II: Differential Ability Scales	180	01/01/2015	212	05/15/2015	212	Approved
Peabody Picture Vocabulary Test, Fourth Edition	210	01/01/2015	210	05/15/2015	210	Approved
Physical Exam	210	01/01/2015	213	05/15/2015	213	Approved
Auditory Verbal Learning Task	90	01/01/2015	135	05/15/2015	135	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 the validity of the use of ratio IQs in psychological assessments	10.15154/1522624	IQ tests are amongst the most used psychological assessments, both in research and clinical settings. For participants who cannot complete IQ tests normed for their age, ratio IQ scores (RIQ) are routinely computed and used as a proxy of IQ, especially in large research databases to avoid missing data points. However, because it has never been scientifically validated, this practice is questionable. In the era of big data, it is important to examine the validity of this widely used practice. In this paper, we use the case of autism to examine the differences between standard full-scale IQ (FSIQ) and RIQ. Data was extracted from four databases in which ages, FSIQ scores and subtests raw scores were available for autistic participants between 2 and 17 years old. The IQ tests included were the MSEL (N=12033), DAS-II early years (N=1270), DAS-II school age (N=2848), WISC-IV (N=471) and WISC-V (N=129). RIQs were computed for each participant as well as the discrepancy (DSC) between RIQ and FSIQ. We performed two linear regressions to respectively assess the effect of FSIQ and of age on the DSC for each IQ test, followed by additional analyses comparing age subgroups as well as FSIQ subgroups on DSC. Participants at the extremes of the FSIQ distribution tended to have a greater DSC than participants with average FSIQ. Furthermore, age significantly predicted the DSC, with RIQ superior to FSIQ for younger participants while the opposite was found for older participants. These results question the validity of this widely used alternative scoring method, especially for individuals at the extremes of the normal distribution, with whom RIQs are most often employed.	212/17423	Secondary Analysis	Shared
Verbal Learning Harmonization	10.15154/zb4d-s646	Motivation: Auditory verbal learning tasks (AVLTs) are a core component of neuropsychological assessment, but the variety of AVLTs in common use makes it difficult to compare scores across instruments. This limits integration of research findings. The objective of this study was to derive and disseminate crosswalks that directly equate raw scores across common AVLTs. Methods: A large, international repository of raw AVLT data was compiled, and a multisite mega study analysis was conducted. Empirical Bayes harmonization was used to isolate and remove site effects, followed by linear models which adjusted for covariates, including age, sex, education, and race/ethnicity. After corrections, a continuous item response theory (IRT) model was then used to estimate each individual subject’s latent verbal learning ability while accounting for different item difficulties. Results: We aggregated raw data from studies of clinical samples and healthy controls from around the world that measured at least one verbal learning task. After applying exclusion criteria, the final sample was comprised of N = 10,505 individuals with and without history of traumatic brain injury from 53 studies above the age of 16 years who were tested on the California Verbal Learning Test (CVLT), Rey Auditory Verbal Learning Test (RAVLT), or the Hopkins Verbal Learning Test-Revised (HVLT). Harmonization significantly reduced inter-site variance by 37% while preserving covariate effects for further study. The effects of age, sex, and education on scores were reported and were found to be consistent across all AVLTs. Crosswalks were created by linking scores of individuals with the same verbal learning ability across AVLTs. The derived conversions agreed with held-out data of dually-administered tests. Conclusion: This study reports the co-calibration and validation of methods to harmonize raw scores across three common verbal learning instruments. Moreover, we developed a free online tool for cross-assessment raw score conversion. These methods address longstanding data compatibility issues for AVLTs, and offer perspectives on how large-scale data harmonization initiatives can increase the robustness and reproducibility of research and findings across the behavioral sciences.	135/3745	Secondary Analysis	Shared
The striatal matrix compartment is expanded in autism spectrum disorder.	10.15154/khn8-jf08	Background: Autism spectrum disorder (ASD) is the second-most common neurodevelopmental disorder in childhood. This complex developmental disorder that manifests with restricted interests, repetitive behaviors, and difficulties in communication and social awareness. The inherited and acquired causes of ASD impact many and diverse brain regions, challenging efforts to identify a shared neuroanatomical substrate for this range of symptoms. The striatum and its connections are among the most implicated sites of abnormal structure and/or function in ASD. Striatal projection neurons develop in segregated tissue compartments, the matrix and striosome, that are histochemically, pharmacologically, and functionally distinct. Immunohistochemical assessment of ASD and animal models of autism described abnormal matrix:striosome volume ratios, with an possible shift from striosome to matrix volume. Shifting the matrix:striosome ratio could result from expansion in matrix, reduction in striosome, spatial redistribution of the compartments, or a combination of these changes. Each type of ratio-shifting abnormality may predispose to ASD but yield different combinations of ASD features. Methods: We developed a cohort of 426 children and adults (213 matched ASD-control pairs) and performed connectivity-based parcellation (diffusion tractography) of the striatum. This identified voxels with matrix-like and striosome-like patterns of structural connectivity. Results: Matrix-like volume was increased in ASD, with no evident change in the volume or organization of the striosome-like compartment. The inter-compartment volume difference (matrix minus striosome) within each individual was 31% larger in ASD. Matrix-like volume was increased in both caudate and putamen, and in somatotopic zones throughout the rostral-caudal extent of the striatum. Subjects with moderate elevations in ADOS (Autism Diagnostic Observation Schedule) scores had increased matrix-like volume, but those with highly elevated ADOS scores had 3.7-fold larger increases in matrix-like volume. Conclusions: Matrix and striosome are embedded in distinct structural and functional networks, suggesting that compartment-selective injury or maldevelopment may mediate specific and distinct clinical features. Previously, assessing the striatal compartments in humans required post mortem tissue. Striatal parcellation provides a means to assess neuropsychiatric diseases for compartment-specific abnormalities in vivo. While this ASD cohort had increased matrix-like volume, other mechanisms that shift the matrix:striosome ratio may also increase the chance of developing the diverse social, sensory, and motor phenotypes of ASD.	5/2166	Secondary Analysis	Shared
Investigating possible biomarkers of autism in resting EEG	10.15154/1528473	There are no clinically useful biomarkers of autism spectrum disorder (ASD). Electroencephalogram (EEG) can measure ongoing brain dynamics using cheap and widely available technology and is minimally invasive. As such, any measurement drived from EEG that is capable of serving as a biomarker for ASD would be hugely beneficial. Previous research has been conflicting and a large list of EEG measures have been suggested.	9/771	Secondary Analysis	Shared
Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings	10.15154/1522486	Females with autism spectrum disorder (ASD) have been long overlooked in neuroscience research, but emerging evidence suggests they show distinct phenotypic trajectories and age-related brain differences. Sex-related biological factors (e.g., hormones, genes) may play a role in ASD etiology and have been shown to influence neurodevelopmental trajectories. Thus, a lifespan approach is warranted to understand brain-based sex differences in ASD. This systematic review on MRI-based sex differences in ASD was conducted to elucidate variations across the lifespan and inform biomarker discovery of ASD in females. We identified articles through two database searches. Fifty studies met criteria and underwent integrative review. We found that regions expressing replicable sex-by-diagnosis differences across studies overlapped with regions showing sex differences in neurotypical (NT) cohorts, in particular regions showing NT male>female volumes. Furthermore, studies investigating age-related brain differences across a broad age-span suggest distinct neurodevelopmental patterns in females with ASD. Qualitative comparison across youth and adult studies also supported this hypothesis. However, many studies collapsed across age, which may mask differences. Furthermore, accumulating evidence supports the female protective effect in ASD, although only one study examined brain circuits implicated in “protection.” When synthesized with the broader literature, brain-based sex differences in ASD may come from various sources, including genetic and endocrine processes involved in brain “masculinization” and “feminization” across early development, puberty, and other lifespan windows of hormonal transition. Furthermore, sex-related biology may interact with peripheral processes, in particular the stress axis and brain arousal system, to produce distinct neurodevelopmental patterns in males and females with ASD. Future research on neuroimaging-based sex differences in ASD would benefit from a lifespan approach in well-controlled and multivariate studies. Possible relationships between behavior, sex hormones, and brain development in ASD remain largely unexamined.	5/759	Secondary Analysis	Shared
comparing EEG metrics during eyes closed versus eyes open rest in autism	10.15154/1528590	Understanding the complex relationship between brain dynamics and mental disorders has proved difficult. Sample sizes have often been small, and brain dynamics have often been evaluated in only one state. Here, data obtained from the NIMH data archive were used to create a sample of 395 individuals with both eyes open and eyes closed resting state EEG data. All data were submitted to a standard pipeline to extract power spectra, peak alpha frequency, the slope of the 1/f curve, multi scale sample entropy, phase amplitude coupling, and intersite phase clustering. These data along with the survey data collected at the time of data collection form a valuable resource for interogating the relationship between brain state changes and autism diagnosis.	6/336	Secondary Analysis	Shared
Cortico-Basal Ganglia Brain Structure and Links to Restricted, Repetitive Behavior in Autism Spectrum Disorder	10.15154/1528130	Restricted repetitive behavior (RRB) is one of two criteria domains required for the diagnosis of autism spectrum disorder (ASD). Neuroimaging is widely used to study brain alterations associated with ASD and the domain of social and communication deficits, but there has been less work regarding alterations associated with RRB. In this study we utilized neuroimaging data available from the National Database for Autism Research to assess volume in the basal ganglia and cerebellum, as well as microstructure in basal ganglia and cerebellar white matter tracts in ASD. We also investigated whether these measures differed between males and females with ASD, and how these factors correlated with clinical measures of RRB from the same individuals. We found that individuals with ASD had significant differences in free-water corrected fractional anisotropy (FAT) and free-water in cortico-basal ganglia white matter tracts, but that these measures did not differ between males versus females with ASD. Moreover, both FAT and free-water in these tracts were significantly correlated with measures of RRB. Despite no differences in volumetric measures in basal ganglia and cerebellum, these findings suggest the links between RRB and brain structure are within specific cortico-basal ganglia white matter tracts.	2/192	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.

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