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NDA Help Center

Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR" when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects.

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access. Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA). Without access, you will not be able to obtain individual-level data.

Once you have selected data of interest you can:

  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release.
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected. Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the filter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

Please Note:

  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time.
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures.
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • What is a Filter Cart?
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.
  • What do I do after filters are added to the Filter Cart?
    After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned. Adding multiple filters to the cart, regardless of type, will AND the result of each filter. If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in BOTH 1 AND 2.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.


  • Workspace
    The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace.
  • Filter Cart
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user through querying or browsing as being of some potential interest. The Filter Cart adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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1 Numbers reported are subjects by age
New Trial
New Project

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

Please select an experiment type below

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

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.
SelectExperiment IdExperiment NameExperiment Type
Created On
475MB1-10 (CHOP)Omics06/07/2016
490Illumina Infinium PsychArray BeadChip AssayOmics07/07/2016
501PharmacoBOLD Resting StatefMRI07/27/2016
509ABC-CT Resting v2EEG08/18/2016
13Comparison of FI expression in Autistic and Neurotypical Homo SapiensOmics12/28/2010
18AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics01/06/2011
22Stitching PCR SequencingOmics02/14/2011
29Microarray family 03 (father, mother, sibling)Omics03/24/2011
37Standard paired-end sequencing of BCRsOmics04/19/2011
38Illumina Mate-Pair BCR sequencingOmics04/19/2011
39Custom Jumping LibrariesOmics04/19/2011
40Custom CapBPOmics04/19/2011
43Autism brain sample genotyping, IlluminaOmics05/16/2011
47ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 SystemOmics08/01/2011
53AGRE Omni1-quadOmics10/11/2011
59AGP genotypingOmics04/03/2012
60Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controlsOmics06/23/2012
63Microemulsion PCR and Targeted Resequencing for Variant Detection in ASDOmics07/20/2012
76Whole Genome Sequencing in Autism FamiliesOmics01/03/2013
90Genotyped IAN SamplesOmics07/09/2013
91NJLAGS Axiom Genotyping ArrayOmics07/16/2013
93AGP genotyping (CNV)Omics09/06/2013
106Longitudinal Sleep Study. H20 200. Channel set 2EEG11/07/2013
107Longitudinal Sleep Study. H20 200. Channel set 3EEG11/07/2013
108Longitudinal Sleep Study. AURA 200EEG11/07/2013
105Longitudinal Sleep Study. H20 200. Channel set 1EEG11/07/2013
109Longitudinal Sleep Study. AURA 400EEG11/07/2013
116Gene Expression Analysis WG-6Omics01/07/2014
131Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1Eye Tracking02/27/2014
132Jeste Lab UCLA ACEii: Animacy - Project 1Eye Tracking02/27/2014
133Jeste Lab UCLA ACEii: Mom Stranger - Project 2Eye Tracking02/27/2014
134Jeste Lab UCLA ACEii: Face Emotion - Project 3Eye Tracking02/27/2014
151Candidate Gene Identification in familial AutismOmics06/09/2014
152NJLAGS Whole Genome SequencingOmics07/01/2014
154Math Autism Study - Vinod MenonfMRI07/15/2014
160syllable contrastEEG07/29/2014
167School-age naturalistic stimuliEye Tracking09/19/2014
44AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics06/27/2011
45Exome Sequencing of 20 Sporadic Cases of Autism Spectrum DisorderOmics07/15/2011
Collection - Add Experiment
Add Supporting Documentation
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Please enter the name of the data structure to search or if your definition does not exist, please upload that definition so that it can be appropriately defined for submission. Multiple data structures may be associated with a single Data Expected entry. Please add only one data structure per assessment.

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

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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Characterizing mechanistic heterogeneity across ADHD and Autism
Damien Fair 
Progress in establishing the etiology of psychiatric illness is limited by the absence of objective biological measures able to detect and discriminate between disorders. This problem is particularly important in developmental disorders, where early identification could eventually assist in prevention of life long impairments. The two earliest onset, most common, and costly developmental disorders in child psychiatry are attention deficit hyperactivity disorder (ADHD) and Autism spectrum disorders (ASD). A recent 2011 study, surveying the years 1997-2008, has now verified that 1 in 6 children have a developmental disability, a 17% increase over the past decade driven largely by increases in ASD and ADHD. These developments highlight the need for innovative approaches to address the underlying cause of these disorders. It is likely that the clinical heterogeneity and the imprecise nature of their nosological distinctions represent fundamentally confounding factors limiting a better understanding of their etiology, prevention, and treatment. Interestingly, an emerging observation regarding brain imaging in ASD and ADHD is that they often have the same atypical functional brain signatures. However, because these two syndromes are almost exclusively studied separately, it is difficult to determine atypical brain function that is common, compared to what is distinct for each disorder. If we are to improve our understanding regarding the underlying etiology of these disorders, it will be necessary to study these populations simultaneously. With that said, simply comparing groups of children based on their DSM diagnosis is unlikely to suffice. The behavioral and biological heterogeneity within each syndrome further complicates the meaning of any given group difference found in brain imaging. Thus, progress in our understanding requires not only examining these disorders in the same studies, but also identifying how brain signatures relate to distinct behavioral components (i.e., endophenotypes) that span the syndromes. Under this context, and consistent with NIMHs new strategic plan, Strategy 1.4 (also see RDoC), the current proposal aims to use resting state functional connectivity MRI (rsfcMRI) and structural connectivity (DTI) to identify brain signatures that correspond to fundamental behavioral components (executive, facial recognition, and affect recognition) found in ADHD and, or ASD. We also aim to develop integrated, multimodal sub-classifications (i.e. neurotypes) or biosignatures of these disorders with computational tools that include Graph Theory and support vector machine (SVM) based pattern classification. The potential impact of the proposed mechanistic categorization on future functional, genetic, treatment, and other translational studies of ADHD and ASD are substantial.
NIMH Data Archive
Funding Completed
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NIH - Extramural None

QA-notification.txt Other Quality Assurance Notification Qualified Researchers

R01MH096773-01 Characterizing mechanistic heterogeneity across ADHD and Autism 08/06/2012 11/30/2018 323 316 OREGON HEALTH & SCIENCE UNIVERSITY $1,870,295.00


NDA Help Center

Collection - General Tab

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

  • Collection Title
  • Investigators
  • Collection Description
  • Collection Phase
  • Funding Source
  • Clinical Trials

Collection Status: The visibility status of an NDA Collection. Collection Status can be Shared or Private. Collections in Shared status are visible to all users and can be searched in the NDA Query Tool. Private Collections are not visible to NDA users. The Status of an NDA Collection only affects the visibility of information about the Collection (metadata) and does not relate to the status of the record-level research data in the NDA Collection.

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 and marked as Shared, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
  • Is a single grant number ever associated with more than one Collection?
    The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
  • Why is there sometimes more than one grant included in a Collection?
    In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).


  • Administrator Privilege
    A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
  • Collection Owner
    Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
  • Collection Phase
    The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
    • Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
    • Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
    • Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
    • Funding Completed: A grant/project has reached the project end date.
  • Collection State
    The Collection State indicates whether the Collection is viewable and searchable. Collections can be either Private, Shared, or an Ongoing Study. A Collection that is shared does not necessarily have shared data as the Collection State and state of data are independent of each other. This field can be edited by Collection users with Administrative Privileges and the Program Officer as listed in eRA (for NIH funded grants). Changes must be saved by clicking the Save button at the bottom of the page.
  • Collection Title
    An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
  • Grant
    Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
  • Supporting Documentation
    Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
  • NIH Research Initiative
    NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
  • Permission Group
    Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
  • Planned Enrollment
    Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
  • Actual Enrollment
    Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
  • NDA Collection
    A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
  • Data Use Limitations
    Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
  • Total Subjects Shared
    The total number of unique subjects for whom data have been shared and are available for users with permission to access data.
IDNameCreated DateStatusType
1532Resting State fMRI02/24/2020ApprovedfMRI

NDA Help Center

Collection - Experiments

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

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

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

Frequently Asked Questions

  • Can an Experiment be associated with more than one Collection?

    Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:

    1. Copy the experiment with intent for modifications.
    2. Associate the experiment to the collection. No modifications can be made to the experiment.


  • Experiment Status
    An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
  • Experiment ID
    The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.

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

Shared Data

Data structures with the number of subjects submitted and shared are provided.

ADHD Rating Scale Clinical Assessments 291
Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 137
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 3 Clinical Assessments 106
BASC Parent Rating Scale Adolescent Clinical Assessments 84
BASC Parent Rating Scale Child Clinical Assessments 130
Child Depression Inventory (CDI) Clinical Assessments 84
Children's Communication Checklist - 2 Clinical Assessments 339
Conners 3 Clinical Assessments 282
Demographics Short Form Clinical Assessments 290
Image Imaging 94
Imaging Collection Imaging 92
Kiddie-Sads Current Diagnoses Clinical Assessments 102
Multidimensional Anxiety Scale for Children Parent and Self Clinical Assessments 80
Processed MRI Data Imaging 90
Research Subject Clinical Assessments 315
Social Communication Questionnaire (SCQ) - Current Form Clinical Assessments 200
Strengths and Difficulties Questionnaire Clinical Assessments 307

NDA Help Center

Collection - Shared Data

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

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

Frequently Asked Questions

  • How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?
    To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
  • Can I get a supplement to share data from a completed research project?
    Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
  • Can I get a supplement to share data from a research project that is still ongoing?
    Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.


  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Type
    A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
  • Shared
    The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Collection or NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared Collection or NDA Study does not necessarily mean that data submitted to the Collection or 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, but will only be viewable and accessible if the Collection is Shared.

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


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

PubMed IDStudyTitleJournalAuthorsDateStatus
37076628Create StudyA somato-cognitive action network alternates with effector regions in motor cortex.NatureGordon, Evan M; Chauvin, Roselyne J; Van, Andrew N; Rajesh, Aishwarya; Nielsen, Ashley; Newbold, Dillan J; Lynch, Charles J; Seider, Nicole A; Krimmel, Samuel R; Scheidter, Kristen M; Monk, Julia; Miller, Ryland L; Metoki, Athanasia; Montez, David F; Zheng, Annie; Elbau, Immanuel; Madison, Thomas; Nishino, Tomoyuki; Myers, Michael J; Kaplan, Sydney; Badke D'Andrea, Carolina; Demeter, Damion V; Feigelis, Matthew; Ramirez, Julian S B; Xu, Ting; Barch, Deanna M; Smyser, Christopher D; Rogers, Cynthia E; Zimmermann, Jan; Botteron, Kelly N; Pruett, John R; Willie, Jon T; Brunner, Peter; Shimony, Joshua S; Kay, Benjamin P; Marek, Scott; Norris, Scott A; Gratton, Caterina; Sylvester, Chad M; Power, Jonathan D; Liston, Conor; Greene, Deanna J; Roland, Jarod L; Petersen, Steven E; Raichle, Marcus E; Laumann, Timothy O; Fair, Damien A; Dosenbach, Nico U FMay 1, 2023Not Determined
36848718Create StudyThe Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis.Developmental cognitive neuroscienceNigg, Joel T; Karalunas, Sarah L; Mooney, Michael A; Wilmot, Beth; Nikolas, Molly A; Martel, Michelle M; Tipsord, Jessica; Nousen, Elizabeth K; Schmitt, Colleen; Ryabinin, Peter; Musser, Erica D; Nagel, Bonnie J; Fair, Damien AApril 1, 2023Not Determined
36841702Create StudyCurrent Approaches in Computational Psychiatry for the Data-Driven Identification of Brain-Based Subtypes.Biological psychiatryBrucar, Leyla R; Feczko, Eric; Fair, Damien A; Zilverstand, AnnaApril 15, 2023Not Determined
35927072Create StudyLinking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth.Biological psychiatryCui, Zaixu; Pines, Adam R; Larsen, Bart; Sydnor, Valerie J; Li, Hongming; Adebimpe, Azeez; Alexander-Bloch, Aaron F; Bassett, Dani S; Bertolero, Max; Calkins, Monica E; Davatzikos, Christos; Fair, Damien A; Gur, Ruben C; Gur, Raquel E; Moore, Tyler M; Shanmugan, Sheila; Shinohara, Russell T; Vogel, Jacob W; Xia, Cedric H; Fan, Yong; Satterthwaite, Theodore DDecember 15, 2022Not Determined
35339687Create StudyAccuracy and reliability of diffusion imaging models.NeuroImageSeider, Nicole A; Adeyemo, Babatunde; Miller, Ryland; Newbold, Dillan J; Hampton, Jacqueline M; Scheidter, Kristen M; Rutlin, Jerrel; Laumann, Timothy O; Roland, Jarod L; Montez, David F; Van, Andrew N; Zheng, Annie; Marek, Scott; Kay, Benjamin P; Bretthorst, G Larry; Schlaggar, Bradley L; Greene, Deanna J; Wang, Yong; Petersen, Steven E; Barch, Deanna M; Gordon, Evan M; Snyder, Abraham Z; Shimony, Joshua S; Dosenbach, Nico U FJuly 1, 2022Not Determined
35296861Create StudyReproducible brain-wide association studies require thousands of individuals.NatureMarek, Scott; Tervo-Clemmens, Brenden; Calabro, Finnegan J; Montez, David F; Kay, Benjamin P; Hatoum, Alexander S; Donohue, Meghan Rose; Foran, William; Miller, Ryland L; Hendrickson, Timothy J; Malone, Stephen M; Kandala, Sridhar; Feczko, Eric; Miranda-Dominguez, Oscar; Graham, Alice M; Earl, Eric A; Perrone, Anders J; Cordova, Michaela; Doyle, Olivia; Moore, Lucille A; Conan, Gregory M; Uriarte, Johnny; Snider, Kathy; Lynch, Benjamin J; Wilgenbusch, James C; Pengo, Thomas; Tam, Angela; Chen, Jianzhong; Newbold, Dillan J; Zheng, Annie; Seider, Nicole A; Van, Andrew N; Metoki, Athanasia; Chauvin, Roselyne J; Laumann, Timothy O; Greene, Deanna J; Petersen, Steven E; Garavan, Hugh; Thompson, Wesley K; Nichols, Thomas E; Yeo, B T Thomas; Barch, Deanna M; Luna, Beatriz; Fair, Damien A; Dosenbach, Nico U FMarch 1, 2022Not Determined
35288282Create StudySynthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI.NeuroImageKaplan, Sydney; Perrone, Anders; Alexopoulos, Dimitrios; Kenley, Jeanette K; Barch, Deanna M; Buss, Claudia; Elison, Jed T; Graham, Alice M; Neil, Jeffrey J; O'Connor, Thomas G; Rasmussen, Jerod M; Rosenberg, Monica D; Rogers, Cynthia E; Sotiras, Aristeidis; Fair, Damien A; Smyser, Christopher DJune 1, 2022Not Determined
34404728Create StudyParallel hippocampal-parietal circuits for self- and goal-oriented processing.Proceedings of the National Academy of Sciences of the United States of AmericaZheng, Annie; Montez, David F; Marek, Scott; Gilmore, Adrian W; Newbold, Dillan J; Laumann, Timothy O; Kay, Benjamin P; Seider, Nicole A; Van, Andrew N; Hampton, Jacqueline M; Alexopoulos, Dimitrios; Schlaggar, Bradley L; Sylvester, Chad M; Greene, Deanna J; Shimony, Joshua S; Nelson, Steven M; Wig, Gagan S; Gratton, Caterina; McDermott, Kathleen B; Raichle, Marcus E; Gordon, Evan M; Dosenbach, Nico U FAugust 24, 2021Not Determined
33882349Create StudyMinimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection.NeuroImageAutio, Joonas A; Zhu, Qi; Li, Xiaolian; Glasser, Matthew F; Schwiedrzik, Caspar M; Fair, Damien A; Zimmermann, Jan; Yacoub, Essa; Menon, Ravi S; Van Essen, David C; Hayashi, Takuya; Russ, Brian; Vanduffel, WimAugust 1, 2021Not Determined
33753484Create StudyCingulo-opercular control network and disused motor circuits joined in standby mode.Proceedings of the National Academy of Sciences of the United States of AmericaNewbold, Dillan J; Gordon, Evan M; Laumann, Timothy O; Seider, Nicole A; Montez, David F; Gross, Sarah J; Zheng, Annie; Nielsen, Ashley N; Hoyt, Catherine R; Hampton, Jacqueline M; Ortega, Mario; Adeyemo, Babatunde; Miller, Derek B; Van, Andrew N; Marek, Scott; Schlaggar, Bradley L; Carter, Alexandre R; Kay, Benjamin P; Greene, Deanna J; Raichle, Marcus E; Petersen, Steven E; Snyder, Abraham Z; Dosenbach, Nico U FMarch 30, 2021Not Determined
33663814Create StudyUnderstanding Vulnerability and Adaptation in Early Brain Development using Network Neuroscience.Trends in neurosciencesGraham, Alice M; Marr, Mollie; Buss, Claudia; Sullivan, Elinor L; Fair, Damien AApril 1, 2021Not Determined
32758445Create StudyPrecision Neuroimaging Opens a New Chapter of Neuroplasticity Experimentation.NeuronFair, Damien A; Yeo, B T ThomasAugust 5, 2020Not Determined
32553194Create StudyParsing Psychiatric Heterogeneity Through Common and Unique Circuit-Level Deficits.Biological psychiatrySatterthwaite, Theodore D; Feczko, Eric; Kaczkurkin, Antonia N; Fair, Damien AJuly 1, 2020Not Determined
32386742Create StudyMethods and Challenges for Assessing Heterogeneity.Biological psychiatryFeczko, Eric; Fair, Damien AJuly 1, 2020Not Determined
32325210Create StudyRemoval of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity.NeuroImageGratton, Caterina; Dworetsky, Ally; Coalson, Rebecca S; Adeyemo, Babatunde; Laumann, Timothy O; Wig, Gagan S; Kong, Tania S; Gratton, Gabriele; Fabiani, Monica; Barch, Deanna M; Tranel, Daniel; Miranda-Dominguez, Oscar; Fair, Damien A; Dosenbach, Nico U F; Snyder, Abraham Z; Perlmutter, Joel S; Petersen, Steven E; Campbell, Meghan CAugust 2020Not Determined
32305325Create StudyToward a Revised Nosology for Attention-Deficit/Hyperactivity Disorder Heterogeneity.Biological psychiatry. Cognitive neuroscience and neuroimagingNigg, Joel T; Karalunas, Sarah L; Feczko, Eric; Fair, Damien AAugust 2020Not Determined
32217469Create StudyHeterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD.NeuroImage. ClinicalCordova, Michaela; Shada, Kiryl; Demeter, Damion V; Doyle, Olivia; Miranda-Dominguez, Oscar; Perrone, Anders; Schifsky, Emma; Graham, Alice; Fombonne, Eric; Langhorst, Beth; Nigg, Joel; Fair, Damien A; Feczko, EricJanuary 1, 2020Not Determined
32033925Create StudyPolygenic Risk Score-Derived Subcortical Connectivity Mediates Attention-Deficit/Hyperactivity Disorder Diagnosis.Biological psychiatry. Cognitive neuroscience and neuroimagingHermosillo, Robert J M; Mooney, Michael A; Fezcko, Eric; Earl, Eric; Marr, Mollie; Sturgeon, Darrick; Perrone, Anders; Dominguez, Oscar Miranda; Faraone, Stephen V; Wilmot, Beth; Nigg, Joel T; Fair, Damien AMarch 2020Not Determined
31973781Create StudySmaller total brain volume but not subcortical structure volume related to common genetic risk for ADHD.Psychological medicineMooney, Michael A; Bhatt, Priya; Hermosillo, Robert J M; Ryabinin, Peter; Nikolas, Molly; Faraone, Stephen V; Fair, Damien A; Wilmot, Beth; Nigg, Joel TJune 2021Not Determined
31778819Create StudyCorrection of respiratory artifacts in MRI head motion estimates.NeuroImageFair, Damien A; Miranda-Dominguez, Oscar; Snyder, Abraham Z; Perrone, Anders; Earl, Eric A; Van, Andrew N; Koller, Jonathan M; Feczko, Eric; Tisdall, M Dylan; van der Kouwe, Andre; Klein, Rachel L; Mirro, Amy E; Hampton, Jacqueline M; Adeyemo, Babatunde; Laumann, Timothy O; Gratton, Caterina; Greene, Deanna J; Schlaggar, Bradley L; Hagler Jr, Donald J; Watts, Richard; Garavan, Hugh; Barch, Deanna M; Nigg, Joel T; Petersen, Steven E; Dale, Anders M; Feldstein-Ewing, Sarah W; Nagel, Bonnie J; Dosenbach, Nico U FMarch 2020Not Determined
31665252Create StudyMaternal Interleukin-6 Is Associated With Macaque Offspring Amygdala Development and Behavior.Cerebral cortex (New York, N.Y. : 1991)Ramirez, Julian S B; Graham, Alice M; Thompson, Jacqueline R; Zhu, Jennifer Y; Sturgeon, Darrick; Bagley, Jennifer L; Thomas, Elina; Papadakis, Samantha; Bah, Muhammed; Perrone, Anders; Earl, Eric; Miranda-Dominguez, Oscar; Feczko, Eric; Fombonne, Eric J; Amaral, David G; Nigg, Joel T; Sullivan, Elinor L; Fair, Damien AMarch 2020Not Determined
31614255Create StudyIdentifying reproducible individual differences in childhood functional brain networks: An ABCD study.Developmental cognitive neuroscienceMarek, Scott; Tervo-Clemmens, Brenden; Nielsen, Ashley N; Wheelock, Muriah D; Miller, Ryland L; Laumann, Timothy O; Earl, Eric; Foran, William W; Cordova, Michaela; Doyle, Olivia; Perrone, Anders; Miranda-Dominguez, Oscar; Feczko, Eric; Sturgeon, Darrick; Graham, Alice; Hermosillo, Robert; Snider, Kathy; Galassi, Anthony; Nagel, Bonnie J; Ewing, Sarah W Feldstein; Eggebrecht, Adam T; Garavan, Hugh; Dale, Anders M; Greene, Deanna J; Barch, Deanna M; Fair, Damien A; Luna, Beatriz; Dosenbach, Nico U FDecember 2019Not Determined
31153774Create StudyThe Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes.Trends in cognitive sciencesFeczko, Eric; Miranda-Dominguez, Oscar; Marr, Mollie; Graham, Alice M; Nigg, Joel T; Fair, Damien AJuly 2019Not Determined
31072758Create StudyInterindividual Variability of Functional Connectivity in Awake and Anesthetized Rhesus Macaque Monkeys.Biological psychiatry. Cognitive neuroscience and neuroimagingXu, Ting; Sturgeon, Darrick; Ramirez, Julian S B; Froudist-Walsh, Seán; Margulies, Daniel S; Schroeder, Charles E; Fair, Damien A; Milham, Michael PJune 2019Not Determined
30583065Create StudyComparing directed functional connectivity between groups with confirmatory subgrouping GIMME.NeuroImageHenry, Teague Rhine; Feczko, Eric; Cordova, Michaela; Earl, Eric; Williams, Sandra; Nigg, Joel T; Fair, Damien A; Gates, Kathleen MMarch 2019Not Determined
30581123Create StudyNewborn amygdala connectivity and early emerging fear.Developmental cognitive neuroscienceThomas, Elina; Buss, Claudia; Rasmussen, Jerod M; Entringer, Sonja; Ramirez, Julian S B; Marr, Mollie; Rudolph, Marc D; Gilmore, John H; Styner, Martin; Wadhwa, Pathik D; Fair, Damien A; Graham, Alice MJune 2019Not Determined
30465762Create StudyThe Big Reveal: Precision Mapping Shines a Gigantic Floodlight on the Cerebellum.NeuronFair DANovember 2018Not Determined
30315209Create StudyCommunity profiling of the urinary microbiota: considerations for low-biomass samples.Nature reviews. UrologyKarstens, Lisa; Asquith, Mark; Caruso, Vincent; Rosenbaum, James T; Fair, Damien A; Braun, Jonathan; Gregory, W Thomas; Nardos, Rahel; McWeeney, Shannon KDecember 2018Not Determined
30215033Create StudyADHD and attentional control: Impaired segregation of task positive and task negative brain networks.Network neuroscience (Cambridge, Mass.)Mills, Brian D; Miranda-Dominguez, Oscar; Mills, Kathryn L; Earl, Eric; Cordova, Michaela; Painter, Julia; Karalunas, Sarah L; Nigg, Joel T; Fair, Damien AJanuary 1, 2018Not Determined
30122286Create StudyMaternal Cortisol Concentrations During Pregnancy and Sex-Specific Associations With Neonatal Amygdala Connectivity and Emerging Internalizing Behaviors.Biological psychiatryGraham, Alice M; Rasmussen, Jerod M; Entringer, Sonja; Ben Ward, Elizabeth; Rudolph, Marc D; Gilmore, John H; Styner, Martin; Wadhwa, Pathik D; Fair, Damien A; Buss, ClaudiaJanuary 2019Not Determined
30121543Create StudyIndividual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence.Developmental cognitive neuroscienceAnandakumar J, Mills KL, Earl EA, Irwin L, Miranda-Dominguez O, Demeter DV, Walton-Weston A, Karalunas S, Nigg J, Fair DANovember 2018Not Determined
29789379Create StudyCorrelated Gene Expression and Anatomical Communication Support Synchronized Brain Activity in the Mouse Functional Connectome.The Journal of neuroscience : the official journal of the Society for NeuroscienceMills, Brian D; Grayson, David S; Shunmugavel, Anandakumar; Miranda-Dominguez, Oscar; Feczko, Eric; Earl, Eric; Neve, Kim A; Fair, Damien AJune 2018Not Determined
29764998Create StudyMapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium.Proceedings of the National Academy of Sciences of the United States of AmericaKong, Xiang-Zhen; Mathias, Samuel R; Guadalupe, Tulio; ENIGMA Laterality Working Group; Glahn, David C; Franke, Barbara; Crivello, Fabrice; Tzourio-Mazoyer, Nathalie; Fisher, Simon E; Thompson, Paul M; Francks, ClydeMay 2018Not Determined
29703592Create StudyPersonalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder.Biological psychiatryDickie, Erin W; Ameis, Stephanie H; Shahab, Saba; Calarco, Navona; Smith, Dawn E; Miranda, Dayton; Viviano, Joseph D; Voineskos, Aristotle NAugust 2018Not Determined
29642002Create StudyDelineating the Macroscale Areal Organization of the Macaque Cortex In Vivo.Cell reportsXu, Ting; Falchier, Arnaud; Sullivan, Elinor L; Linn, Gary; Ramirez, Julian S B; Ross, Deborah; Feczko, Eric; Opitz, Alexander; Bagley, Jennifer; Sturgeon, Darrick; Earl, Eric; Miranda-Domínguez, Oscar; Perrone, Anders; Craddock, R Cameron; Schroeder, Charles E; Colcombe, Stan; Fair, Damien A; Milham, Michael PApril 2018Not Determined
29632361Create StudyMaternal IL-6 during pregnancy can be estimated from newborn brain connectivity and predicts future working memory in offspring.Nature neuroscienceRudolph, Marc D; Graham, Alice M; Feczko, Eric; Miranda-Dominguez, Oscar; Rasmussen, Jerod M; Nardos, Rahel; Entringer, Sonja; Wadhwa, Pathik D; Buss, Claudia; Fair, Damien AMay 2018Not Determined
29450820Create StudyOverlapping and Distinct Cognitive Impairments in Attention-Deficit/Hyperactivity and Autism Spectrum Disorder without Intellectual Disability.Journal of abnormal child psychologyKaralunas, Sarah L; Hawkey, Elizabeth; Gustafsson, Hanna; Miller, Meghan; Langhorst, Marybeth; Cordova, Michaela; Fair, Damien; Nigg, Joel TNovember 2018Not Determined
29408498Create StudyDysfunctional Limbic Circuitry Underlying Freezing of Gait in Parkinson's Disease.NeuroscienceGilat M, Ehgoetz Martens KA, Miranda-Domínguez O, Arpan I, Shine JM, Mancini M, Fair DA, Lewis SJG, Horak FBMarch 2018Not Determined
29337280Create StudyBehavioral interventions for reducing head motion during MRI scans in children.NeuroImageGreene, Deanna J; Koller, Jonathan M; Hampton, Jacqueline M; Wesevich, Victoria; Van, Andrew N; Nguyen, Annie L; Hoyt, Catherine R; McIntyre, Lindsey; Earl, Eric A; Klein, Rachel L; Shimony, Joshua S; Petersen, Steven E; Schlaggar, Bradley L; Fair, Damien A; Dosenbach, Nico U FMay 2018Not Determined
29274502Create StudySubtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm.NeuroImageFeczko, E; Balba, N M; Miranda-Dominguez, O; Cordova, M; Karalunas, S L; Irwin, L; Demeter, D V; Hill, A P; Langhorst, B H; Grieser Painter, J; Van Santen, J; Fombonne, E J; Nigg, J T; Fair, D AMay 2018Not Determined
28803940Create StudyReal-time motion analytics during brain MRI improve data quality and reduce costs.NeuroImageDosenbach NUF, Koller JM, Earl EA, Miranda-Dominguez O, Klein RL, Van AN, Snyder AZ, Nagel BJ, Nigg JT, Nguyen AL, Wesevich V, Greene DJ, Fair DANovember 2017Not Determined
28754515Create StudyMaternal Systemic Interleukin-6 During Pregnancy Is Associated With Newborn Amygdala Phenotypes and Subsequent Behavior at 2 Years of Age.Biological psychiatryGraham, Alice M; Rasmussen, Jerod M; Rudolph, Marc D; Heim, Christine M; Gilmore, John H; Styner, Martin; Potkin, Steven G; Entringer, Sonja; Wadhwa, Pathik D; Fair, Damien A; Buss, ClaudiaJanuary 2018Relevant
28577433Create StudyReduced fronto-amygdalar connectivity in adolescence is associated with increased depression symptoms over time.Psychiatry research. NeuroimagingScheuer H, Alarcón G, Demeter DV, Earl E, Fair DA, Nagel BJAugust 2017Not Determined
28291247Create StudyEnhancing studies of the connectome in autism using the autism brain imaging data exchange II.Scientific dataDi Martino, Adriana; O'Connor, David; Chen, Bosi; Alaerts, Kaat; Anderson, Jeffrey S; Assaf, Michal; Balsters, Joshua H; Baxter, Leslie; Beggiato, Anita; Bernaerts, Sylvie; Blanken, Laura M E; Bookheimer, Susan Y; Braden, B Blair; Byrge, Lisa; Castellanos, F Xavier; Dapretto, Mirella; Delorme, Richard; Fair, Damien A; Fishman, Inna; Fitzgerald, Jacqueline; Gallagher, Louise; Keehn, R Joanne Jao; Kennedy, Daniel P; Lainhart, Janet E; Luna, Beatriz; Mostofsky, Stewart H; Müller, Ralph-Axel; Nebel, Mary Beth; Nigg, Joel T; O'Hearn, Kirsten; Solomon, Marjorie; Toro, Roberto; Vaidya, Chandan J; Wenderoth, Nicole; White, Tonya; Craddock, R Cameron; Lord, Catherine; Leventhal, Bennett; Milham, Michael PMarch 2017Not Relevant
28279917Create StudyAt risk of being risky: The relationship between "brain age" under emotional states and risk preference.Developmental cognitive neuroscienceRudolph MD, Miranda-Domínguez O, Cohen AO, Breiner K, Steinberg L, Bonnie RJ, Scott ES, Taylor-Thompson K, Chein J, Fettich KC, Richeson JA, Dellarco DV, Galván A, Casey BJ, Fair DAApril 2017Not Determined
28161313Create StudyDevelopment of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature.NeuroImageGrayson, David S; Fair, Damien AOctober 2017Not Determined
27477019Create StudyThe Rhesus Monkey Connectome Predicts Disrupted Functional Networks Resulting from Pharmacogenetic Inactivation of the Amygdala.NeuronGrayson DS, Bliss-Moreau E, Machado CJ, Bennett J, Shen K, Grant KA, Fair DA, Amaral DGJuly 2016Not Relevant
27422412Create StudyNetwork Structure among Brain Systems in Adult ADHD is Uniquely Modified by Stimulant Administration.Cerebral cortex (New York, N.Y. : 1991)Cary RP, Ray S, Grayson DS, Painter J, Carpenter S, Maron L, Sporns O, Stevens AA, Nigg JT, Fair DAAugust 2017Not Determined
27050322Create StudyPrenatal domoic acid exposure disrupts mouse pro-social behavior and functional connectivity MRI.Behavioural brain researchMills BD, Pearce HL, Khan O, Jarrett BR, Fair DA, Lahvis GPJuly 2016Not Relevant
26499255Create StudyImplications of newborn amygdala connectivity for fear and cognitive development at 6-months-of-age.Developmental cognitive neuroscienceGraham, Alice M; Buss, Claudia; Rasmussen, Jerod M; Rudolph, Marc D; Demeter, Damion V; Gilmore, John H; Styner, Martin; Entringer, Sonja; Wadhwa, Pathik D; Fair, Damien AApril 2016Not Determined
25809052Create StudyEarly life stress is associated with default system integrity and emotionality during infancy.Journal of child psychology and psychiatry, and allied disciplinesGraham AM, Pfeifer JH, Fisher PA, Carpenter S, Fair DANovember 2015Not Determined
25714740Create StudyCommentary: Developmental connectomics to advance our understanding of typical and atypical brain development--a commentary on Vértes and Bullmore (2015).Journal of child psychology and psychiatry, and allied disciplinesGraham AM, Fair DAMarch 2015Not Relevant
25660033Create StudyCharacterizing heterogeneity in children with and without ADHD based on reward system connectivity.Developmental cognitive neuroscienceCosta Dias TG, Iyer SP, Carpenter SD, Cary RP, Wilson VB, Mitchell SH, Nigg JT, Fair DAFebruary 2015Not Determined
25512496Create StudyLarge-scale topology and the default mode network in the mouse connectome.Proceedings of the National Academy of Sciences of the United States of AmericaStafford JM, Jarrett BR, Miranda-Dominguez O, Mills BD, Cain N, Mihalas S, Lahvis GP, Lattal KM, Mitchell SH, David SV, Fryer JD, Nigg JT, Fair DADecember 2014Not Determined
25459874Create StudyThe potential of infant fMRI research and the study of early life stress as a promising exemplar.Developmental cognitive neuroscienceGraham AM, Pfeifer JH, Fisher PA, Lin W, Gao W, Fair DAApril 2015Not Relevant
25386919Create StudyConnectotyping: model based fingerprinting of the functional connectome.PloS oneMiranda-Dominguez, Oscar; Mills, Brian D; Carpenter, Samuel D; Grant, Kathleen A; Kroenke, Christopher D; Nigg, Joel T; Fair, Damien AJanuary 2014Not Determined
25312831Create StudySex differences in the neural substrates of spatial working memory during adolescence are not mediated by endogenous testosterone.Brain researchAlarcón G, Cservenka A, Fair DA, Nagel BJDecember 2014Not Determined
25307115Create StudyResearch review: Functional brain connectivity and child psychopathology--overview and methodological considerations for investigators new to the field.Journal of child psychology and psychiatry, and allied disciplinesMatthews M, Fair DAApril 2015Not Relevant
25233316Create StudyUnraveling the miswired connectome: a developmental perspective.NeuronDi Martino A, Fair DA, Kelly C, Satterthwaite TD, Castellanos FX, Thomason ME, Craddock RC, Luna B, Leventhal BL, Zuo XN, Milham MPSeptember 2014Not Determined
25212412Create StudyDietary intervention rescues maternal obesity induced behavior deficits and neuroinflammation in offspring.Journal of neuroinflammationKang SS, Kurti A, Fair DA, Fryer JDSeptember 2014Not Determined
25116862Create StudyStructural and functional connectivity of the human brain in autism spectrum disorders and attention-deficit/hyperactivity disorder: A rich club-organization study.Human brain mappingRay, Siddharth; Miller, Meghan; Karalunas, Sarah; Robertson, Charles; Grayson, David S; Cary, Robert P; Hawkey, Elizabeth; Painter, Julia G; Kriz, Daniel; Fombonne, Eric; Nigg, Joel T; Fair, Damien ADecember 2014Not Determined
25006969Create StudySubtyping attention-deficit/hyperactivity disorder using temperament dimensions: toward biologically based nosologic criteria.JAMA psychiatryKaralunas SL, Fair D, Musser ED, Aykes K, Iyer SP, Nigg JTSeptember 2014Not Determined
24890898Create StudyEmotional processing and brain activity in youth at high risk for alcoholism.Alcoholism, clinical and experimental researchCservenka A, Fair DA, Nagel BJJuly 2014Not Determined
24741045Create StudyBridging the gap between the human and macaque connectome: a quantitative comparison of global interspecies structure-function relationships and network topology.The Journal of neuroscience : the official journal of the Society for NeuroscienceMiranda-Dominguez O, Mills BD, Grayson D, Woodall A, Grant KA, Kroenke CD, Fair DAApril 2014Not Determined
24642753Create StudyOrganizing heterogeneous samples using community detection of GIMME-derived resting state functional networks.PloS oneGates, Kathleen M; Molenaar, Peter C M; Iyer, Swathi P; Nigg, Joel T; Fair, Damien AJanuary 2014Not Determined
24505468Create StudyStructural and functional rich club organization of the brain in children and adults.PloS oneGrayson, David S; Ray, Siddharth; Carpenter, Samuel; Iyer, Swathi; Dias, Taciana G Costa; Stevens, Corinne; Nigg, Joel T; Fair, Damien AJanuary 2014Not Determined
24501348Create StudyDietary omega-3 fatty acids modulate large-scale systems organization in the rhesus macaque brain.The Journal of neuroscience : the official journal of the Society for NeuroscienceGrayson DS, Kroenke CD, Neuringer M, Fair DAFebruary 2014Not Determined
24440571Create StudyResting state functional connectivity of the nucleus accumbens in youth with a family history of alcoholism.Psychiatry researchCservenka A, Casimo K, Fair DA, Nagel BJMarch 2014Not Determined
24214656Create StudyAttention deficit hyperactivity disorder.Current topics in behavioral neurosciencesMatthews M, Nigg JT, Fair DAJanuary 2014Not Determined
24078018Create StudyUnderconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism.Social cognitive and affective neuroscienceAlaerts K, Woolley DG, Steyaert J, Di Martino A, Swinnen SP, Wenderoth NOctober 2014Not Determined
23774715Create StudyThe autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatryDi Martino, A; Yan, C-G; Li, Q; Denio, E; Castellanos, F X; Alaerts, K; Anderson, J S; Assaf, M; Bookheimer, S Y; Dapretto, M; Deen, B; Delmonte, S; Dinstein, I; Ertl-Wagner, B; Fair, D A; Gallagher, L; Kennedy, D P; Keown, C L; Keysers, C; Lainhart, J E; Lord, C; Luna, B; Menon, V; Minshew, N J; Monk, C S; Mueller, S; Müller, R-A; Nebel, M B; Nigg, J T; O'Hearn, K; Pelphrey, K A; Peltier, S J; Rudie, J D; Sunaert, S; Thioux, M; Tyszka, J M; Uddin, L Q; Verhoeven, J S; Wenderoth, N; Wiggins, J L; Mostofsky, S H; Milham, M PJune 2014Not Determined
23501054Create StudyInferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm.NeuroImageIyer SP, Shafran I, Grayson D, Gates K, Nigg JT, Fair DAJuly 2013Not Determined
23206930Create StudyReward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder.European neuropsychopharmacology : the journal of the European College of NeuropsychopharmacologyCosta Dias TG, Wilson VB, Bathula DR, Iyer SP, Mills KL, Thurlow BL, Stevens CA, Musser ED, Carpenter SD, Grayson DS, Mitchell SH, Nigg JT, Fair DAJanuary 2013Not Determined

NDA Help Center

Collection - Publications

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

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

Frequently Asked Questions

  • How can I determine if a publication is relevant?
    Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
  • Where does the NDA get the publications?
    PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).


  • Create Study
    A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
  • Not Determined Publication
    Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
  • Not Relevant Publication
    A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
  • PubMed
    PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
  • PubMed ID
    The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
  • Relevant Publication
    A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

Data Expected List: Mandatory Data Structures

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

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info icon
You can use "Add New Data Expected" to add exsiting structures and create your project's list. However, this is also the method you can use to request new structures be created for your project. When adding the Data Expected item, if the structure already exists you can locate it and specify your dates and enrollment. To add a new structure and request it be defined in the Data Dictionary, select Upload Definition and attach the definition or material needed to create it, including manual, codebooks, forms, etc. If you have multiple files, please upload a zipped archive containing them all.

Expected dates should be selected based on the standard Data Sharing Regimen and are restricted to within date ranges based on the project start and end dates.
Data Expected List: Data Structures per Research Aims

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

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
ADOS info icon
ADI-R info icon
Childrens Depression Inventory info icon
Social Communication Questionnaire (SCQ) info icon
Demographics info icon
Childrens Communication Checklist-2 (CCC-2) info icon
Behavior Assessment System for Children (BASC) info icon
Processed MRI Data info icon
Conners info icon
Kiddie-Sads (K-SADS) info icon
Temperament in Middle Childhood Questionnaire info icon
ADHD Rating Scale info icon
Imaging (Structural, fMRI, DTI, PET, microscopy) info icon
Broad Psychopathology Form info icon
Multidimensional Anxiety Scale for Children (MASC) info icon
Strengths and Weakness of ADHD Symptoms and Normal Behavior info icon
Structure not yet defined
No Status history for this Data Expected has been recorded yet

NDA Help Center

Collection - Data Expected

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

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

Contributing researchers just getting started on their project will need to define this list by adding all of the items they are collecting under their grant and setting their schedule according to the NDA Data Sharing Regimen. If you fall into this category, you can begin by clicking "Add New Data Expected" and selecting which data structures you will be using, saving the page after each change, or requesting new structures by adding and naming a new item, providing any materials NDA Data Dictionary Curators can use to help define your structure. For more information see the tutorial on creating Data Expected.

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

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

Frequently Asked Questions

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


  • Analyzed Data
    Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
  • Data Item
    Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Structure Category
    An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
  • Data Structure Group
    A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
  • Evaluated Data
    A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
  • Imaging Data
    Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
  • Initial Share Date
    Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
  • Initial Submission Date
    Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
  • Research Subject and Pedigree
    An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
  • Submission Cycle
    The NDA has two Submission Cycles per year - January 15 and July 15.
  • Submission Exemption
    An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

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

Associated Studies

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

Study NameAbstractCollection/Study SubjectsData UsageState
Characterizing Auditory Hyperreactivity in AutismObjective: To answer the following research questions: 1) What is the prevalence of auditory hyper-reactivity in ASD? 2) Does auditory hyper-reactivity severity change with age? and 3) What are the most common auditory stimuli reported to be bothersome? Research Design: Primarily descriptive secondary data analysis. Methods: Type of data: Questionnaire items regarding auditory hyper-reactivity will be filtered from: Autism Diagnostic Interview-Revised, Sensory Profile (all forms), Sensory Over-Responsivity Scale, and Sensory Experiences Questionnaire in addition to demographics (i.e., age, race, ethnicity, diagnoses). Analysis Plan: Descriptive statistics, tables and figures will be used to summarize the prevalence and severity of auditory hyper-reactivity by age. Linear regression modeling will be used to evaluate changes in auditory hyper-reactivity by age. If data is available for control subjects, statistical analyses will be conducted for means comparison (ASD vs. non-ASD). 137/7001Secondary AnalysisPrivate
Investigating autism etiology and heterogeneity by decision tree algorithmAutism spectrum disorder (ASD) is a neurodevelopmental disorder that causes deficits in cognition, communication and social skills. ASD, however, is a highly heterogeneous disorder. This heterogeneity has made identifying the etiology of ASD a particularly difficult challenge, as patients exhibit a wide spectrum of symptoms without any unifying genetic or environmental factors to account for the disorder. For better understanding of ASD, it is paramount to identify potential genetic and environmental risk factors that are comorbid with it. Identifying such factors is of great importance to determine potential causes for the disorder, and understand its heterogeneity. Existing large-scale datasets offer an opportunity for computer scientists to undertake this task by utilizing machine learning to reliably and efficiently obtain insight about potential ASD risk factors, which would in turn assist in guiding research in the field. In this study, decision tree algorithms were utilized to analyze related factors in datasets obtained from the National Database for Autism Research (NDAR) consisting of nearly 3000 individuals. We were able to identify 15 medical conditions that were highly associated with ASD diagnoses in patients; furthermore, we extended our analysis to the family medical history of patients and we report six potentially hereditary medical conditions associated with ASD. Associations reported had a 90% accuracy. Meanwhile, gender comparisons highlighted conditions that were unique to each gender and others that overlapped. Those findings were validated by the academic literature, thus opening the way for new directions for the use of decision tree algorithms to further understand the etiology of autism. 63/3382Secondary AnalysisShared
IRT Analysis Using the SPIRIT Macro in SPSSItem Response Theory (IRT) is a modeling framework that can be applied to a large variety of different research questions in many different disciplines. To make IRT models more accessible for the general researcher, a tool has been created that can easily run one-parameter IRT (1PL) models using the convenient point-and-click interface in SPSS without any required downloads or add-ons. This tool can run 1PL models with person and item covariates, DIF analyses, multidimensional models, multigroup models, rating scale models, and many other variations. Example models are presented with an applied dataset containing responses to an ADHD rating scale. Illustrations of how to fit basic 1PL models as well as two more complicated analyses using SPIRIT are given.271/271Secondary AnalysisPrivate
* Data not on individual level

NDA Help Center

Collection - Associated Studies

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

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

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

Frequently Asked Questions

  • How do I associate a study to my collection?
    Studies are associated to the Collection automatically when the data is defined in the Study.


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