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

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

  • 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.

  • 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.

  • 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.

  • 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

  • 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. 

  • Typically considered Descriptive/Raw Data unless related to the primary aims of a study, Clinical Data includes diagnostic assessments, clinical measures, medical histories, demographic data, questionnaires, etc. Each set of clinical data is submitted to the NDA using a corresponding Data Structure in the NDA Data Dictionary.

  • A Collection is a virtual container into which data will be submitted and shared.  It also provides important information about the project, funding amounts, reported enrollment amounts, data sharing schedule, and results that will help program staff better evaluate the grant.  While the general rule is that one Collection is created for each grant, it may be appropriate to associated multiple grants with a single Collection in the case of collaborative projects or projects submitting data through a single site such as a Data Coordinating Center. 

  • 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.

  • 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 raw data submissions.
    • Funding Completed:  A grant/project has reached the project end date.
  • 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.

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

  • 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.

  • 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.  

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

NDA Help Center

Collection - Shared Data Tab

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

  • 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.  

  • 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.

  • 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

  • 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://ndar.nih.gov/data_dictionary.html. 

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

  • 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.

NDA Help Center

fMRi

fMRI stands for functional magnetic resonance imaging. fMRI tests measure blood flow, providing detailed functional images of the brain or body. 

Acquisition
The Acquisition parameters needed for an experiment include the following:

Name of the experiment is required. Please be concise and specific as possible.
Following experiment name, selection boxes are provided for the Equipment, Software, or other items specific to experiment type. At least one selection is required for each. If NDAR does not have the appropriate listing, select Add New to add the information provided. Following the selection boxes, provide additional information may be required depending on experiment type. Any required items are denoted by an asterisk (*).

Block/Event Design
At least one block/event is required. Note that any fields denoted with an asterisk (*) are required. All data must be devoid of personally identifiable data, including the contents of any files attached to the experiment.

Note: To simplify definition of multiple events, we provide an Import from XML function. This function supports importing data from all three experiment sections (Acquisition, Block/Event Design, and Post Processing), at this time files cannot be uploaded from XML A test format is provided here and our XML Schema Definition (xsd) can be found here.

Post Processing
If you have completed any post processing on your data, please choose 'Yes' for Has Postprocessing? If not, select 'No'. Depending on this selection the remaining post processing fields will be enabled (some of which will be required). If you are initially providing raw, non-analyzed data you can select 'No', then return to the experiment to add post processing steps at a later date when the analyzed data are being provided.

Please provide information about post-processing manipulations, i.e. artifact detection algorithms, segmentation used for post data collection, items denoted with an asterisk (*) are required.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

NDA Help Center

Collection - Submissions Tab

Users with permission to access Shared data in the Collection’s assigned Permission Group may use this tab. 

Here, you can:

  • Review your uploads to your Collection, monitor their status, and download them individually to verify their contents.
  • Download individual datasets as a secondary user of the data approved for access.
  • Identify and download datasets containing errors identified by NDA's QA/QC process for review and resolution.
  • Report suspected or discovered Personally Identifiable Information in a submission via the Actions column.

Frequently Asked Questions

Glossary

  • The default view of Datasets within a Collection's Submission tab.

  • A Submission Loading Status on a Collection's Submission Tab that indicates that an issue has prevented the successful loading of the submission.  Users should contact the NDA Help Desk for assistance at NDAHelp@mail.nih.gov.

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

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

  • The unique and sequentially assigned ID for a submission (e.g. a discrete upload via the Validation and Upload Tool), which may contain any number of datafiles, Data Structures and/or Data Types, regardless of the Submission Loading Status. A single submission may be divided into multiple Datasets, which are based on Data Type.

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

  • The total number of unique subjects for whom data have been submitted, which includes data in both a Private State and a Shared State.

NDA Help Center

Collection - Publications Tab

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

  • Publications are considered relevant to a collection when the data shared is directly related to the project or collection.

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

Glossary

  • 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.

  • 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.

  • 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 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.

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

  • 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.

NDA Help Center

EEG

EEG stands for electroencencephalogram and is a test used to measure electrical activity in the brain.

Acquisition
The Acquisition parameters needed for an experiment include the following:

Name of the experiment is required. Please be concise and specific as possible.
Following experiment name, selection boxes are provided for the Equipment, Software, or other items specific to experiment type. At least one selection is required for each. If NDAR does not have the appropriate listing, select Add New to add the information provided. Following the selection boxes, provide additional information may be required depending on experiment type. Any required items are denoted by an asterisk (*).

Block/Event Design
At least one block/event is required. Note that any fields denoted with an asterisk (*) are required. All data must be devoid of personally identifiable data, including the contents of any files attached to the experiment.

Note: To simplify definition of multiple events, we provide an Import from XML function. This function supports importing data from all three experiment sections (Acquisition, Block/Event Design, and Post Processing), at this time files cannot be uploaded from XML A test format is provided here and our XML Schema Definition (xsd) can be found here.

Post Processing
If you have completed any post processing on your data, please choose 'Yes' for Has Postprocessing? If not, select 'No'. Depending on this selection the remaining post processing fields will be enabled (some of which will be required). If you are initially providing raw, non-analyzed data you can select 'No', then return to the experiment to add post processing steps at a later date when the analyzed data are being provided.

Please provide information about post-processing manipulations, i.e. artifact detection algorithms, segmentation used for post data collection, items denoted with an asterisk (*) are required.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

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

  • 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.

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

Glossary

  • 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.

  • 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.

  • 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.

  • 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://ndar.nih.gov/data_dictionary.html. 

  • 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).

  • 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. 

  • Typically not related to te primary aims of a study, Descriptive/raw data are data used to characterize a research subject, including data from standard diagnostic assessments, standard clinical measures, family/subject medical history, demographic data, raw unprocessed images, -omics (e.g. proteomics, genomics, metabolomics) data, raw neurosignal recordings, and genetic test results that are being collected in the course of the supported research. Descriptive/raw data are expected to be submitted to NDA on a semi-annual basis (on or before January 15 and July 15). Cumulative submission of clinical data is expected during each submission cycle to enable data corrections throughout the duration of the award. Raw -omic, EEG, and neuroimaging data are expected to be submitted only once.  Descriptive/raw data are Shared within 4 months after submission.

  • 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.

  • The earliest date on which the data related to the Data Item may expect to be Shared based on whether the data are considered Descriptive/Raw or Analyzed.  Descriptive/raw data are shared within 4 months after submission (on May 15 for data submitted during the January 15 Submission Cycle or on November 15 for data submitted during the July 15 Submission Cycle).  Analyzed data are expected to be Shared at the time a publication is released  through an NDA Study or one year after the original project completion, whichever comes first.  The Initial Share Date is used by the NDA as a trigger to automatically share data.

  • The earliest date on which the data related to the Data Item may expect to start being submitted based on whether the data are considered Descriptive/Raw or Analyzed and based on the project's data collection timeline.  Descriptive/raw data are expected to be submitted every 6 months (January 15 and July 15) while Analyzed data are expected to be submitted no later than the time a manuscript is accepted.  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.

  • 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.

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

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

NDA Help Center

Collection - Permissions Tab

Collection Owners, Program Officers, and users with Administrator privileges may view this tab.

The available permission groups include:

  • Query: This read-only access is generally for NIH Program Officers
  • Submission: This will grant read access and allow the user to upload data and create experiment definitions. This is for the typical contributing personnel member.
  • Administrator: In addition to the access provided to Query and Submission users, Admins can also edit the Collection itself, create or edit the Data Expected list, and edit user permissions. This access is for the PI, data managers, and anyone they wish to delegate this to.

The PI has a special designation as the Collection Owner in addition to administrator access.

Frequently Asked Questions

  • Collection Owners and Admins may assign Collection Privileges to anyone.

  • Yes, you can assign various Privileges to other users with an NDA account.

  • If you are the Collection Owner or have Admin privileges, you can view and make changes to the list of individuals who have access to the Collection on the Collection's Permissions tab.  Information on users who have access to data Shared in your Collection because they were granted access to a Permission Group is not available.

  • Staff/collaborators who are working submitting data to the Collection, checking the quality of the data, and/or analyzing data should have access for the duration of the project until all data have been submitted, NDA Studies have been created for data used in publications, and/or a collaborative relationship with the user exists.  

  • The individual listed as an Investigator on the General tab of the NDA Collection will generally be able to provide a user access to the NDA Collection.  Additional users may also have this ability if granted Administrator access to an NDA Collection; however, these users are not viewable unless your account has access to the NDA Collection.  Given this, it is best to contact the Investigator to request access to the Collection.

  • Privileges that can be assigned to a user include:
    Submission allows a user to submit data to Collection
    Query allows the user to download data from Collection even when in a Private state
    Admin is both the Submission and Query Privilege + the ability to give privileges to other users.

  • You may have staff who are working on the submission of data or other activities associated with data sharing such as the definition of the Data Expected list or NDA Experiment creation.  Also, many projects have multiple performance sites and wish to share data among the site PIs.  Submitting to the NDA facilitates access by all investigators working on a project even before data have been shared with other users.  You can control who gets access to data while in a Private state.

Glossary

  • 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. 

  • The NDA has data grouped data into Collections which are associated with a Permission Groups (e.g., ABCD, NDAR, NDCT, PedsMRI, RDoCdb, OAI) so that access requests are made for a Permission Group instead of individual Collections. While each Permission Group has it's own identity, all data included are in the NIMH Data Archive regardless of Permission Group.

NDA Help Center

Eye Tracking

EyeTracking tests follow the movement of the eye. The visual trajectory or focus can help determine predictions and assist in diagnoses. 

Acquisition
The Acquisition parameters needed for an experiment include the following:

Name of the experiment is required. Please be concise and specific as possible.
Following experiment name, selection boxes are provided for the Equipment, Software, or other items specific to experiment type. At least one selection is required for each. If NDAR does not have the appropriate listing, select Add New to add the information provided. Following the selection boxes, provide additional information may be required depending on experiment type. Any required items are denoted by an asterisk (*).

Block/Event Design
At least one block/event is required. Note that any fields denoted with an asterisk (*) are required. All data must be devoid of personally identifiable data, including the contents of any files attached to the experiment.

Note: To simplify definition of multiple events, we provide an Import from XML function. This function supports importing data from all three experiment sections (Acquisition, Block/Event Design, and Post Processing), at this time files cannot be uploaded from XML A test format is provided here and our XML Schema Definition (xsd) can be found here.

Post Processing
If you have completed any post processing on your data, please choose 'Yes' for Has Postprocessing? If not, select 'No'. Depending on this selection the remaining post processing fields will be enabled (some of which will be required). If you are initially providing raw, non-analyzed data you can select 'No', then return to the experiment to add post processing steps at a later date when the analyzed data are being provided.

Please provide information about post-processing manipulations, i.e. artifact detection algorithms, segmentation used for post data collection, items denoted with an asterisk (*) are required.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

NDA Help Center

Collection - Experiments Tab

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

  • 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

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

  • 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.

NDA Help Center

Omics

Omics is a collective group of technologies, related to a field of study in Biology such as Genomics or proteomics. 

Experiment Parameters

To define an Omics experiment, provide a meaningful name and select a single molecule. The standard molecules are listed. However, if you are doing proteomic or environmental experiments, simply “Add New” and the new selection will be created. Only one value for molecule is permitted.

Next the technology (box 2) associated with the molecule will be presented along with its application. Again, only one selection is possible. If you wish to see all of NDAR’s options for any one box, Select “Show All”.

Platform

Continue to select the Platform (box 3).

Extraction

Next, the Extraction Protocol (box 4) and Kits (box 5) are presented based upon the Molecule selected and the Processing Protocol (box 6) and Kits (box 7) are presented based upon the Molecule and Technology Application (Box 1 and 2)

Processing

Note that for each of these (boxes 4, 5, 6, and 7) multiple selections are possible.

Additional Information

Lastly, the Software (box 8) and Equipment (box 9) is expected.

 

Once saved, the experiment will be associated with the Collection and by using the returned Experiment_ID, the NDA makes it possible to associate the experiment meta data directly with the data from the experiment.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

NDA Help Center

Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions

Glossary

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Frequently Asked Questions

Glossary

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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

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

Glossary

  • 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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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

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SelectExperiment IdExperiment NameExperiment Type
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  • EEG
  • EGG
  • Eye Tracking
  • Omics
  • fMRI
Created On
1268Epigenetic dataOmics06/25/2019
1267Dynamic localizer fMRI06/21/2019
1265Retinotopic LocalizerfMRI06/21/2019
1264AVLfMRI06/21/2019
1263CLAP: Resting state (5 min)fMRI06/20/2019
1262Cued n-back with emotional facesfMRI06/20/2019
1261Forced Choice memory task: Food and object itemsfMRI06/20/2019
1260Forced Choice memory task: Emotional facesfMRI06/20/2019
1259Cued encoding of food and object itemsfMRI06/20/2019
1258Cued encoding of facesfMRI06/20/2019
1257Aliens EEGEEG06/19/2019
1256Frog Story Eye TrackerEye Tracking06/19/2019
1255Thematic Apperception Test Eye TrackingEye Tracking06/19/2019
1254NimStim PupillometryEye Tracking06/17/2019
1253Eye Tracking Rapid Automatized NamingEye Tracking06/13/2019
1252Cognitive Go/No-Go TaskfMRI06/10/2019
1251Positive Go/No-Go TaskfMRI06/10/2019
1250Negative Go/No-Go TaskfMRI06/10/2019
1249Neutral Go/No-Go TaskfMRI06/10/2019
1248Episodic Retrieval of Emotional WordsfMRI05/10/2019
1247Episodic Retrieval of Emotional WordsEEG05/09/2019
1246MIP sequencing - ASD9Omics05/03/2019
1245Episodic Encoding of Emotional Words EEG05/01/2019
1244Episodic Memory for Emotional Words - Resting StateEEG05/01/2019
1240NPU-CfMRI04/17/2019
1239NPU-BfMRI04/17/2019
1238NPU-AfMRI04/16/2019
1237EEG Probabilistic Reward TaskEEG04/09/2019
1236EEG Reversal LearningEEG04/09/2019
1235EEG FlankerEEG04/09/2019
1234NIH-FMRIF RVOL resting state Console: 27_LX_MR_Software_release:DV26.0_R03_1831.bfMRI04/05/2019
1233NIH-FMRIF RVOL resting state Console: 27_LX_MR_Software_release:DV26.0_R01_1725.afMRI04/05/2019
1232NIH-FMRIF RVOL resting state Console: 27_LX_MR_Software_release:DV26.0_EB_1707.bfMRI04/05/2019
1231ABC-CT Biomotion v3EEG03/25/2019
1230ABC-CT VEP v3EEG03/25/2019
1229ABC-CT Faces v3EEG03/25/2019
1228Amygdala rtfMRI Neurofeedback for Treatment Resistant DepressionfMRI03/25/2019
1226FMRP Protein AnalysisOmics03/19/2019
1225FMR1 Genotyping PCR/Southern BlotOmics03/19/2019
1223Bulk sequencing of NeuN+ and NeuN- brain cells and of muscle in Schizophrenic and Control individualsOmics02/28/2019
1222KKI_Pevsner_U01MH106884_LIBD_10XOmics02/25/2019
1221Yale/Mayo_bulk&fractions_NYGCOmics02/25/2019
1220KKI_Pevsner_U01MH106884_SMRI_WESOmics02/21/2019
1219KKI_Pevsner_U01MH106884_SHEP_WESOmics02/21/2019
1218Resting StatefMRI02/20/2019
1217FaceName TaskfMRI02/20/2019
1216Vismotor TaskfMRI02/20/2019
1215CARIT (Go/Nogo) TaskfMRI02/20/2019
1214Resting StatefMRI02/20/2019
1213Emotion TaskfMRI02/20/2019
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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Adolescent Brain Cognitive Development Study (ABCD)
Terry L. Jernigan 
The ABCD Study is designed to permit the scientific community to answer important questions about the relationships among physical and mental health, cognition, substance use (SU), culture and environment, genetics, environmental exposures and brain development of adolescents. The ABCD Study is a nationwide study of more than 10,000 9-10 year-olds conducted at 21 sites (29% of the US population lives within 50 miles of our geographically spread sites), that, uniquely, can provide a representative sample and a large twin sample that together can help distinguish environmental, sociocultural, and genetic factors relevant to adolescent health and brain development. We ensure cohesion and standardization with a recruitment strategy designed by a professional survey company (experience with Monitoring the Future), standardized environmental, neurocognitive and mental health assessments, MRI assessments with scanners using modified harmonized Human Connectome Project procedures, and computerized data collection with real-time quality control. Developmentally tailored assessments will have stable sensitivity and construct validity across childhood and adolescence, capture even subtle changes in SU, mental health, neurocognition, development, and environment, and employ novel bioassays and passive data collection from mobile devices. The retention plan builds on the experience of our investigators to ensure success.
Adolescent Brain Cognitive Development
Enrolling
Shared
No
$51,644,995.00
25491
19360
11,886
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NIH - Extramural None

22. ABCD_Release_2.0_mapping_r.csv Background Mapping of ABCD instruments to NDA structures for Release 2.0 Qualified Researchers
ABCD Release 2.0 Release Notes_Non_public.zip Background Please Read - Updated Release 2.0 Notes (June 2019 Update) Qualified Researchers
ABCD Release 2.0 Release Notes_public.zip Background Please Read - Updated Release 2.0 Notes (June 2019 Update) General Public
Invalid_pGUIDs_Release_2.0.zip Background List of unusable subjects due to incorrect sMRI orientation/incorrect pGUID Qualified Researchers
3a. NDA 2.0 Changes between Release 1.1 and 2.0_Known Issues Release 2.0.pdf Background Release 2.0 Known Issues and changes between Releases 1.1 and 2.0 (June 2019 Update) Qualified Researchers
ABCD Release 2.0_Known Issues_Public.pdf Background Release 2.0 Known Issues and changes between Releases 1.1 and 2.0 (June 2019 Update) General Public
3b. ABCD Release 2.0 Family History_issues.pdf Background Release 2.0 Family History Issues Qualified Researchers

U24DA041147-01 ABCD-USA Consortium: Coordinating Center 09/30/2015 05/31/2020 0 0 UNIVERSITY OF CALIFORNIA, SAN DIEGO $3,916,901.00
U01DA041022-01 ABCD-USA Consortium: Research Project 09/30/2015 05/31/2020 350 354 SRI INTERNATIONAL $1,173,774.00
U24DA041123-01 ABCD-USA Consortium: Data Analysis Center 09/30/2015 05/31/2020 0 0 UNIVERSITY OF CALIFORNIA, SAN DIEGO $4,258,742.00
U01DA041028-01 ABCD-USA Consortium:Research Project 09/30/2015 05/31/2020 450 455 UNIVERSITY OF PITTSBURGH AT PITTSBURGH $1,618,696.00
U01DA041048-01 ABCD-USA Consortium: Research Project 09/30/2015 05/31/2020 11961 5308 CHILDRENS HOSPITAL OF LOS ANGELES $2,510,237.00
U01DA041089-01 ABCD-USA Consortium: Research Project 09/30/2015 05/31/2020 0 3642 UNIVERSITY OF CALIFORNIA, SAN DIEGO $4,996,756.00
U01DA041106-01 ABCD-USA Consortium: Research Project 09/30/2015 05/31/2020 2150 2350 UNIVERSITY OF MICHIGAN AT ANN ARBOR $3,484,716.00
U01DA041117-01 Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) Consortium 09/30/2015 05/31/2020 985 605 UNIVERSITY OF MARYLAND BALTIMORE $3,310,107.00
U01DA041120-01 ABCD-USA Consortium: Twin Research Project 09/30/2015 05/31/2020 2380 2429 UNIVERSITY OF MINNESOTA $7,523,342.00
U01DA041134-01 Prospective Research Studies of Maturation (PRISM)- Research Project 09/30/2015 05/31/2020 950 1002 UNIVERSITY OF UTAH $3,433,463.00
U01DA041148-01 ABCD-USA Consortium: Research Project 09/30/2015 05/31/2020 2362 1165 OREGON HEALTH & SCIENCE UNIVERSITY $3,503,451.00
U01DA041156-01 FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South Florida 09/30/2015 05/31/2020 600 632 FLORIDA INTERNATIONAL UNIVERSITY $2,948,494.00
U01DA041174-01 ABCD-USA: NYC Research Project 09/30/2015 05/31/2020 1725 635 YALE UNIVERSITY $4,896,772.00
U01DA041093-01 13/13 ABCD-USA Consortium: Research Project 07/01/2017 05/31/2020 1070 398 MEDICAL UNIVERSITY OF SOUTH CAROLINA $1,725,224.00
U01DA041025-01 ABCD-USA Consortium: UWM SIte 07/15/2017 05/31/2020 508 385 UNIVERSITY OF WISCONSIN MILWAUKEE $2,344,320.00

IDNameCreated DateStatusType
648ABCD MID 04/17/2017ApprovedfMRI
649ABCD REST04/18/2017ApprovedfMRI
650ABCD SST 04/18/2017ApprovedfMRI
651ABCD NBACK 04/18/2017ApprovedfMRI
1194ABCD Smokescreen genotyping01/17/2019ApprovedOmics

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.

ABCD ACS Post Stratification Weights Clinical Assessments 11875
ABCD Brief Problem Monitor-Teacher Form For Ages 6-18 (BPMT) Clinical Assessments 11875
ABCD Cash Choice Task Clinical Assessments 11875
ABCD Child Nutrition Assessment Clinical Assessments 4951
ABCD Children's Report of Parental Behavioral Inventory Clinical Assessments 11875
ABCD Developmental History Questionnaire Clinical Assessments 11875
ABCD Family History Assessment Part 1 Clinical Assessments 11875
ABCD Family History Assessment Part 2 Clinical Assessments 11875
ABCD Hormone Saliva Salimetric Scores Clinical Assessments 11875
ABCD Irma Substudy Child Clinical Assessments 11875
ABCD Irma Substudy Parent Clinical Assessments 11875
ABCD Little Man Task Summary Scores Clinical Assessments 11873
ABCD Longitudinal Parent Demographics Survey Clinical Assessments 4951
ABCD Longitudinal Parent Diagnostic Interview for DSM-5 Background Items Full (KSAD) Clinical Assessments 4951
ABCD Longitudinal Parent Medical History Questionnaire Clinical Assessments 4951
ABCD Longitudinal Parent Ohio State Traumatic Brain Injury Screen-Short Modified (OTBI) Clinical Assessments 4951
ABCD Longitudinal Parent Sports and Activities Involvement Questionnaire (SAIQ) Clinical Assessments 4951
ABCD Longitudinal Summary Scores Medical History Clinical Assessments 4951
ABCD Longitudinal Summary Scores Sports Activity Clinical Assessments 4951
ABCD Longitudinal Summary Scores Traumatic Brain Injury Clinical Assessments 4951
ABCD Longitudinal Tracking Clinical Assessments 11875
ABCD MRI Info Imaging 11755
ABCD Other Resilience Clinical Assessments 11875
ABCD Parent Acculturation Survey Modified from PhenX (ACC) Clinical Assessments 11875
ABCD Parent Adult Self Report Raw Scores Aseba (ASR) Clinical Assessments 11875
ABCD Parent Adult Self Report Scores Aseba (ASR) Clinical Assessments 11875
ABCD Parent Child Behavior Checklist Raw Scores Aseba (CBCL) Clinical Assessments 11875
ABCD Parent Child Behavior Checklist Scores Aseba (CBCL) Clinical Assessments 11875
ABCD Parent Community Risk and Protective Factors (CRPF) Clinical Assessments 11875
ABCD Parent Demographics Survey Clinical Assessments 11875
ABCD Parent Diagnostic Interview for DSM-5 (KSADS) Traumatic Events Clinical Assessments 11860
ABCD Parent Diagnostic Interview for DSM-5 Background Items Full (KSADS-5) Clinical Assessments 11875
ABCD Parent Diagnostic Interview for DSM-5 Full (KSADS-5) Clinical Assessments 11867
ABCD Parent Family Environment Scale-Family Conflict Subscale Modified from PhenX (FES) Clinical Assessments 11875
ABCD Parent Fitbit Baseline Clinical Assessments 165
ABCD Parent Fitbit Followup Clinical Assessments 165
ABCD Parent Gender Identity Clinical Assessments 4951
ABCD Parent KSADS Conduct Disorder Clinical Assessments 11868
ABCD Parent Life Events Clinical Assessments 4951
ABCD Parent Medical History Questionnaire (MHX) Clinical Assessments 11875
ABCD Parent Medications Survey Inventory Modified from PhenX (PMP) Clinical Assessments 11875
ABCD Parent Mexican American Cultural Values Scale Modified (MACV) Clinical Assessments 11875
ABCD Parent Multi-Group Ethnic Identity-Revised Survey (MEIM) Clinical Assessments 11875
ABCD Parent Neighborhood Safety/Crime Survey Modified from PhenX (NSC) Clinical Assessments 11875
ABCD Parent Ohio State Traumatic Brain Injury Screen-Short Modified (OTBI) Clinical Assessments 11875
ABCD Parent Parent General Behavior Inventory-Mania (PGBI) Clinical Assessments 11875
ABCD Parent Participant Last Use Survey Day 2 3 4 (PLUS) Clinical Assessments 11875
ABCD Parent Pubertal Development Scale and Menstrual Cycle Survey History (PDMS) Clinical Assessments 11875
ABCD Parent Screen Time Survey (STQ) Clinical Assessments 11875
ABCD Parent Short Social Responsiveness Scale Clinical Assessments 4951
ABCD Parent Sleep Disturbance Scale for Children (SDS) Clinical Assessments 11875
ABCD Parent Sports and Activities Involvement Questionnaire (SAIQ) Clinical Assessments 11875
ABCD Parent Vancouver Index of Acculturation-Short Survey (VIA) Clinical Assessments 11875
ABCD Parental Monitoring Survey Clinical Assessments 11875
ABCD Parental Rules on Substance Use Clinical Assessments 11875
ABCD Pearson Scores Clinical Assessments 11871
ABCD Prodromal Psychosis Scale Clinical Assessments 11875
ABCD Pubertal Hormone Saliva Clinical Assessments 11875
ABCD RA Scanning Checklist and Notes Clinical Assessments 11875
ABCD School Risk and Protective Factors Survey Clinical Assessments 11875
ABCD Screener Clinical Assessments 11875
ABCD Sum Scores Culture & Environment Parent Clinical Assessments 11875
ABCD Sum Scores Culture & Environment Youth Clinical Assessments 11875
ABCD Sum Scores Mobil Tech Youth Clinical Assessments 11875
ABCD Sum Scores Physical Health Parent Clinical Assessments 11875
ABCD Sum Scores Physical Health Youth Clinical Assessments 11875
ABCD Sum Scores Traumatic Brain Injury Clinical Assessments 11875
ABCD Summary Scores Brief Problem Monitor-Teacher Form for Ages 6-18 Clinical Assessments 11875
ABCD Summary Scores Developmental History Clinical Assessments 11875
ABCD Summary Scores Medical History Clinical Assessments 11875
ABCD Summary Scores Sports Activity Clinical Assessments 11875
ABCD Summary Scores Substance Use Clinical Assessments 11875
ABCD TBX Demo Clinical Assessments 11873
ABCD Task fMRI MID Average Beta Weights Destrieux Parcellations Part 1 Imaging 9095
ABCD Task fMRI MID Average Beta Weights Destrieux Parcellations Part 2 Imaging 9095
ABCD Task fMRI MID Average Beta Weights Part 1 Imaging 9095
ABCD Task fMRI MID Average Beta Weights Part 2 Imaging 9095
ABCD Task fMRI MID Average SEM Destrieux Parcellations Part 1 Imaging 9095
ABCD Task fMRI MID Average SEM Destrieux Parcellations Part 2 Imaging 9095
ABCD Task fMRI MID Average Standard Error of the Mean Part 1 Imaging 9095
ABCD Task fMRI MID Average Standard Error of the Mean Part 2 Imaging 9095
ABCD Task fMRI MID Behavior Clinical Assessments 9801
ABCD Task fMRI MID Run 1 Beta Weights Destrieux Parcellations Part 1 Imaging 9095
ABCD Task fMRI MID Run 1 Beta Weights Destrieux Parcellations Part 2 Imaging 9095
ABCD Task fMRI MID Run 1 Beta Weights Part 1 Imaging 9095
ABCD Task fMRI MID Run 1 Beta Weights Part 2 Imaging 9095
ABCD Task fMRI MID Run 1 SEM Destrieux Parcellations Part 1 Imaging 9095
ABCD Task fMRI MID Run 1 SEM Destrieux Parcellations Part 2 Imaging 9095
ABCD Task fMRI MID Run 1 Standard Error of the Mean Part 1 Imaging 9095
ABCD Task fMRI MID Run 1 Standard Error of the Mean Part 2 Imaging 9095
ABCD Task fMRI MID Run 2 Beta Weights Destrieux Parcellations Part 1 Imaging 9019
ABCD Task fMRI MID Run 2 Beta Weights Destrieux Parcellations Part 2 Imaging 9019
ABCD Task fMRI MID Run 2 Beta Weights Part 1 Imaging 9019
ABCD Task fMRI MID Run 2 Beta Weights Part 2 Imaging 9019
ABCD Task fMRI MID Run 2 SEM Destrieux Parcellations Part 1 Imaging 9019
ABCD Task fMRI MID Run 2 SEM Destrieux Parcellations Part 2 Imaging 9019
ABCD Task fMRI MID Run 2 Standard Error of the Mean Part 1 Imaging 9019
ABCD Task fMRI MID Run 2 Standard Error of the Mean Part 2 Imaging 9019
ABCD Task fMRI REC Behavior Clinical Assessments 8976
ABCD Task fMRI SST Average Beta Weights Imaging 8903
ABCD Task fMRI SST Average Beta Weights Destrieux Parcellations Part 1 Imaging 8903
ABCD Task fMRI SST Average Beta Weights Destrieux Parcellations Part 2 Imaging 8903
ABCD Task fMRI SST Average SEM Destrieux Parcellations Part 1 Imaging 8903
ABCD Task fMRI SST Average SEM Destrieux Parcellations Part 2 Imaging 8903
ABCD Task fMRI SST Average Standard Error of the Mean Imaging 8903
ABCD Task fMRI SST Behavior Clinical Assessments 9598
ABCD Task fMRI SST Run 1 Beta Weights Imaging 8903
ABCD Task fMRI SST Run 1 Beta Weights Destrieux Parcellations Part 1 Imaging 8903
ABCD Task fMRI SST Run 1 Beta Weights Destrieux Parcellations Part 2 Imaging 8903
ABCD Task fMRI SST Run 1 SEM Destrieux Parcellations Part 1 Imaging 8903
ABCD Task fMRI SST Run 1 SEM Destrieux Parcellations Part 2 Imaging 8903
ABCD Task fMRI SST Run 1 Standard Error of the Mean Imaging 8903
ABCD Task fMRI SST Run 2 Beta Weights Imaging 8779
ABCD Task fMRI SST Run 2 Beta Weights Destrieux Parcellations Part 1 Imaging 8779
ABCD Task fMRI SST Run 2 Beta Weights Destrieux Parcellations Part 2 Imaging 8779
ABCD Task fMRI SST Run 2 SEM Destrieux Parcellations Part 1 Imaging 8779
ABCD Task fMRI SST Run 2 SEM Destrieux Parcellations Part 2 Imaging 8779
ABCD Task fMRI SST Run 2 Standard Error of the Mean Imaging 8779
ABCD Task fMRI nBack Average Beta Weights Imaging 8829
ABCD Task fMRI nBack Average Beta Weights Destrieux Parcellations Part 1 Imaging 8829
ABCD Task fMRI nBack Average Beta Weights Destrieux Parcellations Part 2 Imaging 8829
ABCD Task fMRI nBack Average SEM Destrieux Parcellations Part 1 Imaging 8829
ABCD Task fMRI nBack Average SEM Destrieux Parcellations Part 2 Imaging 8829
ABCD Task fMRI nBack Average Standard Error of the Mean Imaging 8829
ABCD Task fMRI nBack Behavior Clinical Assessments 9468
ABCD Task fMRI nBack Run 1 Beta Weights Imaging 8829
ABCD Task fMRI nBack Run 1 Beta Weights Destrieux Parcellations Part 1 Imaging 8829
ABCD Task fMRI nBack Run 1 Beta Weights Destrieux Parcellations Part 2 Imaging 8829
ABCD Task fMRI nBack Run 1 SEM Destrieux Parcellations Part 1 Imaging 8829
ABCD Task fMRI nBack Run 1 SEM Destrieux Parcellations Part 2 Imaging 8829
ABCD Task fMRI nBack Run 1 Standard Error of the Mean Imaging 8829
ABCD Task fMRI nBack Run 2 Beta Weights Imaging 8798
ABCD Task fMRI nBack Run 2 Beta Weights Destrieux Parcellations Part 1 Imaging 8798
ABCD Task fMRI nBack Run 2 Beta Weights Destrieux Parcellations Part 2 Imaging 8798
ABCD Task fMRI nBack Run 2 SEM Destrieux Parcellations Part 1 Imaging 8798
ABCD Task fMRI nBack Run 2 SEM Destrieux Parcellations Part 2 Imaging 8798
ABCD Task fMRI nBack Run 2 Standard Error of the Mean Imaging 8798
ABCD Timeline Follow-back Survey Calendar Scores (TLFB) Clinical Assessments 11875
ABCD Youth 10 Item Delinquency Scale Clinical Assessments 4951
ABCD Youth 7-Up Mania Items Clinical Assessments 4951
ABCD Youth Acculturation Survey Modified from PhenX (ACC) Clinical Assessments 11875
ABCD Youth Alcohol Measures Clinical Assessments 4951
ABCD Youth Alcohol Screen Clinical Assessments 11875
ABCD Youth Anthropometrics Modified From PhenX (ANT) Clinical Assessments 11875
ABCD Youth Behavioral Inhibition/Behavioral Approach System Scales Modified from PhenX (BIS/BAS) Clinical Assessments 11875
ABCD Youth Brief Problem Monitor Clinical Assessments 8720
ABCD Youth Delay Discounting Sum Scores Clinical Assessments 4950
ABCD Youth Diagnostic Interview for DSM-5 5 (KSADS-5) Clinical Assessments 11871
ABCD Youth Diagnostic Interview for DSM-5 Background Items 5 (KSADS-5) Clinical Assessments 11875
ABCD Youth Discrimination Measure Clinical Assessments 4951
ABCD Youth Edinburgh Handedness Inventory Short Form (EHIS) Clinical Assessments 11875
ABCD Youth Emotional Stroop Task Clinical Assessments 4949
ABCD Youth Family Environment Scale-Family Conflict Subscale Modified from PhenX (FES) Clinical Assessments 11875
ABCD Youth Fitbit Baseline Clinical Assessments 165
ABCD Youth Fitbit Followup Clinical Assessments 165
ABCD Youth Gender Identity Clinical Assessments 4950
ABCD Youth Genetic Blood (RUCDR) Clinical Assessments 11875
ABCD Youth Genetic Saliva (RUCDR) Clinical Assessments 11875
ABCD Youth Hair Results Clinical Assessments 11875
ABCD Youth Hair Sample Clinical Assessments 11875
ABCD Youth Life Events Clinical Assessments 4951
ABCD Youth Marijuana Illicit Drug Measures Clinical Assessments 4951
ABCD Youth Mid Year Phone Interview Substance Use Clinical Assessments 8649
ABCD Youth Monetary Incentive Delay Task Survey Post Scan Questionnaire Clinical Assessments 11875
ABCD Youth NIH TB Summary Scores Clinical Assessments 11873
ABCD Youth NIH Toolbox Positive Affect Items Clinical Assessments 8720
ABCD Youth Neighborhood Safety/Crime Survey Modified from PhenX (NSC) Clinical Assessments 11875
ABCD Youth Nicalert Clinical Assessments 4951
ABCD Youth Nicotine Measures Clinical Assessments 4951
ABCD Youth Participant Last Use Survey Day 1 2 3 4 (PLUS) Clinical Assessments 11875
ABCD Youth Post Scan Questionnaire 2 Clinical Assessments 11875
ABCD Youth Post Scan Questionnaire 1 Clinical Assessments 11875
ABCD Youth Pre Scan Questionnaire 1 Clinical Assessments 11875
ABCD Youth Pre Scan Questionnaire 2 Clinical Assessments 11875
ABCD Youth Pubertal Development Scale and Menstrual Cycle Survey History (PDMS) Clinical Assessments 11875
ABCD Youth Rescan Monetary Incentive Delay Task Survey Post Scan Questionnaire Clinical Assessments 11875
ABCD Youth Screen Time Survey (STQ) Clinical Assessments 11875
ABCD Youth Snellen Vision Screener (SVS) Clinical Assessments 11875
ABCD Youth Substance Use Attitudes Clinical Assessments 4951
ABCD Youth Substance Use Interview Clinical Assessments 11875
ABCD Youth Substance Use Introduction and Patterns Clinical Assessments 4951
ABCD Youth Summary Scores BPM and POA Clinical Assessments 8720
ABCD Youth Toxicology Test Clinical Assessments 11875
ABCD Youth Wills Problem Solving Scale Clinical Assessments 4951
ABCD Youth Youth Risk Behavior Survey Exercise Physical Activity (YRB) Clinical Assessments 11875
ABCD dMRI DTI Destrieux Parcellations Part 1 Imaging 11400
ABCD dMRI DTI Destrieux Parcellations Part 2 Imaging 11401
ABCD dMRI DTI Full Destrieux Parcellation Part 1 Imaging 11401
ABCD dMRI DTI Full Destrieux Parcellation Part 2 Imaging 11401
ABCD dMRI DTI Full Part 1 Imaging 11401
ABCD dMRI DTI Full Part 2 Imaging 11401
ABCD dMRI DTI Part 1 Imaging 11401
ABCD dMRI DTI Part 2 Imaging 11401
ABCD dMRI Post Processing QC Imaging 11872
ABCD dMRI RSI Destrieux Parcellation Part 1 Imaging 11400
ABCD dMRI RSI Destrieux Parcellation Part 2 Imaging 11400
ABCD dMRI RSI Destrieux Parcellation Part 3 Imaging 11400
ABCD dMRI RSI Part 1 Imaging 11400
ABCD dMRI RSI Part 2 Imaging 11400
ABCD rsfMRI Destrieux Imaging 10955
ABCD rsfMRI Gordon Network Correlations Imaging 10955
ABCD rsfMRI Network to Subcortical ROI Correlations Imaging 10955
ABCD rsfMRI Temporal Variance Imaging 10955
ABCD sMRI Destrieux Parcellation Part 1 Imaging 11536
ABCD sMRI Destrieux Parcellation Part 2 Imaging 11536
ABCD sMRI Part 1 Imaging 11536
ABCD sMRI Part 2 Imaging 11536
FreeSurfer QC Imaging 11555
Genomics Sample Genomics 10659
Image Imaging 11103
MR Findings Clinical Assessments 11875
MRI QC Raw Part 1 Imaging 11872
MRI QC Raw Part 2 Imaging 11872
MRI QC Raw Part 3 Imaging 11872
Mobile Data Imaging 150
Parent Prosocial Behavior Survey Clinical Assessments 11875
Processed MRI Data Imaging 11434
Residential History Derived Scores Clinical Assessments 11875
Sum Scores Mental Health Parent Clinical Assessments 11875
Sum Scores Mental Health Youth Clinical Assessments 11875
UPPS-P for Children Short Form (ABCD-version) Clinical Assessments 11875
Youth Prosocial Behavior Survey Clinical Assessments 11875

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 IDStudyTitleJournalAuthorsDateStatus
31156374Create StudyNot Determined
31134293Create StudyComputational approaches and machine learning for individual-level treatment predictions.PsychopharmacologyMay 27, 2019Not Determined
31106219Create StudyNot Determined
31079000Create StudyNot Determined
31043184Create StudyDecision-Making as a Latent Construct and its Measurement Invariance in a Large Sample of Adolescent Cannabis Users.Journal of the International Neuropsychological Society : JINSMay 2, 2019Not Determined
31009035Create StudyNicotine Effects on White Matter Microstructure in Young Adults.Archives of clinical neuropsychology : the official journal of the National Academy of NeuropsychologistsJanuary 7, 2019Not Determined
30949565Create StudyStress exposures, neurodevelopment and health measures in the ABCD study.Neurobiology of stressFebruary 2019Not Determined
30905689Create StudyInvolvement in Sports, Hippocampal Volume, and Depressive Symptoms in Children.Biological psychiatry. Cognitive neuroscience and neuroimagingFebruary 4, 2019Not Determined
30875890Create StudyDo Stand-Biased Desks in the Classroom Change School-Time Activity and Sedentary Behavior?International journal of environmental research and public health2019-03-15Not Determined
30850130Create StudyResting-State Functional Connectivity and Psychotic-like Experiences in Childhood: Results From the Adolescent Brain Cognitive Development Study.Biological psychiatryJanuary 26, 2019Not Determined
30846008Create StudyAssessing callous-unemotional traits: development of a brief, reliable measure in a large and diverse sample of preadolescent youth.Psychological medicineMarch 8, 2019Not Determined
30780067Create StudyTesting helping behavior and its relationship to antisocial personality and psychopathic traits.Psychiatry researchSakai JT, Raymond KM, Mcwilliams SK, Mikulich-Gilbertson SKApril 2019Not Determined
30760808Create StudyBasic Units of Inter-Individual Variation in Resting State Connectomes.Scientific reportsSripada C, Angstadt M, Rutherford S, Kessler D, Kim Y, Yee M, Levina EFebruary 2019Not Determined
30610197Create StudyGenome-wide analysis reveals extensive genetic overlap between schizophrenia, bipolar disorder, and intelligence.Molecular psychiatrySmeland OB, Bahrami S, Frei O, Shadrin A, O'Connell K, Savage J, Watanabe K, Krull F, Bettella F, Steen NE, Ueland T, Posthuma D, Djurovic S, Dale AM, Andreassen OAJanuary 2019Not Determined
30595399Create StudyThe structure of cognition in 9 and 10 year-old children and associations with problem behaviors: Findings from the ABCD study's baseline neurocognitive battery.Developmental cognitive neuroscienceDecember 13, 2018Not Determined
30578952Create StudySexual minority children: Mood disorders and suicidality disparities.Journal of affective disordersBlashill AJ, Calzo JPMarch 2019Not Determined
30481666Create StudyThe frontal aslant tract (FAT) and its role in speech, language and executive function.Cortex; a journal devoted to the study of the nervous system and behaviorDick AS, Garic D, Graziano P, Tremblay PFebruary 2019Not Determined
30474579Create StudyAerobic Fitness Level Moderates the Association Between Cannabis Use and Executive Functioning and Psychomotor Speed Following Abstinence in Adolescents and Young Adults.Journal of the International Neuropsychological Society : JINSWade NE, Wallace AL, Swartz AM, Lisdahl KMNovember 2018Not Determined
30382511Create StudyEditors' Commentary for Special Issue: The 2017 CALDAR Summer Institute and International Conference Promoting Global Health-Precision Research in Substance Abuse, HIV, and Care.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune PharmacologyChang L, Li MD, Hser YIDecember 2018Not Determined
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30343458Create StudyCognitive Deficits in Psychotic Disorders: A Lifespan Perspective.Neuropsychology reviewSheffield JM, Karcher NR, Barch DMDecember 2018Not Determined
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30295694Create StudyEffects of Cannabis Use and Subclinical ADHD Symptomology on Attention Based Tasks in Adolescents and Young Adults.Archives of clinical neuropsychology : the official journal of the National Academy of NeuropsychologistsWallace AL, Wade NE, Hatcher KF, Lisdahl KMOctober 2018Not Determined
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30159951Create StudyLaterality of the frontal aslant tract (FAT) explains externalizing behaviors through its association with executive function.Developmental scienceGaric D, Broce I, Graziano P, Mattfeld A, Dick ASMarch 2019Not Determined
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29884279Create StudyTaking Aim at Interoception's Role in Mental Health.Biological psychiatry. Cognitive neuroscience and neuroimaging2018-06Not Determined
29879391Create StudyNeuroimaging Impaired Response Inhibition and Salience Attribution in Human Drug Addiction: A Systematic Review.NeuronZilverstand A, Huang AS, Alia-Klein N, Goldstein RZJune 2018Not Determined
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29773510Create StudyImplications of the ABCD study for developmental neuroscience.Developmental cognitive neuroscienceFeldstein Ewing SW, Bjork JM, Luciana MAugust 2018Not Determined
29706313Create StudyA description of the ABCD organizational structure and communication framework.Developmental cognitive neuroscienceAuchter AM, Hernandez Mejia M, Heyser CJ, Shilling PD, Jernigan TL, Brown SA, Tapert SF, Dowling GJAugust 2018Not Determined
29680211Create StudyOutreach and innovation: Communication strategies for the ABCD Study.Developmental cognitive neuroscienceHoffman EA, Howlett KD, Breslin F, Dowling GJAugust 2018Not Determined
29679914Create StudyA multi-site proof-of-concept investigation of computerized approach-avoidance training in adolescent cannabis users.Drug and alcohol dependenceJacobus J, Taylor CT, Gray KM, Meredith LR, Porter AM, Li I, Castro N, Squeglia LMJune 2018Not Determined
29655614Create StudyA brief validated screen to identify boys and girls at risk for early marijuana use.Developmental cognitive neuroscienceLoeber R, Clark DB, Ahonen L, Fitzgerald D, Trucco EM, Zucker RAAugust 2018Not Determined
29636283Create StudyCurrent, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health.Developmental cognitive neuroscienceBagot KS, Matthews SA, Mason M, Squeglia LM, Fowler J, Gray K, Herting M, May A, Colrain I, Godino J, Tapert S, Brown S, Patrick KMarch 2018Not Determined
29627333Create StudyAssessment of culture and environment in the Adolescent Brain and Cognitive Development Study: Rationale, description of measures, and early data.Developmental cognitive neuroscienceZucker RA, Gonzalez R, Feldstein Ewing SW, Paulus MP, Arroyo J, Fuligni A, Morris AS, Sanchez M, Wills TAugust 2018Not Determined
29606560Create StudyBiospecimens and the ABCD study: Rationale, methods of collection, measurement and early data.Developmental cognitive neuroscienceUban KA, Horton MK, Jacobus J, Heyser C, Thompson WK, Tapert SF, Madden PAF, Sowell ER, August 2018Not Determined
29567376Create StudyThe Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites.Developmental cognitive neuroscienceCasey BJ, Cannonier T, Conley MI, Cohen AO, Barch DM, Heitzeg MM, Soules ME, Teslovich T, Dellarco DV, Garavan H, Orr CA, Wager TD, Banich MT, Speer NK, Sutherland MT, Riedel MC, Dick AS, Bjork JM, Thomas KM, Chaarani B, Mejia MH, Hagler DJ, Daniela Cornejo M, Sicat CS, Harms MP, et al.March 2018Not Determined
29559216Create StudyAdolescent brain cognitive development (ABCD) study: Overview of substance use assessment methods.Developmental cognitive neuroscienceLisdahl KM, Sher KJ, Conway KP, Gonzalez R, Feldstein Ewing SW, Nixon SJ, Tapert S, Bartsch H, Goldstein RZ, Heitzeg MFebruary 2018Not Determined
29556250Create StudyDetermining Genetic Causal Variants Through Multivariate Regression Using Mixture Model Penalty.Frontiers in geneticsSundar VS, Fan CC, Holland D, Dale AMJanuary 2018Not Determined
29527590Create StudyChronic Stress in Adolescents and Its Neurobiological and Psychopathological Consequences: An RDoC Perspective.Chronic stress (Thousand Oaks, Calif.)Sheth C, Mcglade E, Yurgelun-Todd D2017 Jan-DecNot Determined
29525452Create StudyAdolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery.Developmental cognitive neuroscienceLuciana M, Bjork JM, Nagel BJ, Barch DM, Gonzalez R, Nixon SJ, Banich MTFebruary 2018Not Determined
29484767Create StudyDissociable meta-analytic brain networks contribute to coordinated emotional processing.Human brain mappingRiedel MC, Yanes JA, Ray KL, Eickhoff SB, Fox PT, Sutherland MT, Laird ARJune 2018Not Determined
29467408Create StudyPrediction complements explanation in understanding the developing brain.Nature communicationsRosenberg MD, Casey BJ, Holmes AJFebruary 2018Not Determined
29460349Create StudyAdolescent Brain Development: Implications for Understanding Risk and Resilience Processes Through Neuroimaging Research.Journal of research on adolescence : the official journal of the Society for Research on AdolescenceMorris AS, Squeglia LM, Jacobus J, Silk JSMarch 2018Not Determined
29437252Create StudyHigh temporal resolution motion estimation using a self-navigated simultaneous multi-slice echo planar imaging acquisition.Journal of magnetic resonance imaging : JMRITeruel JR, Kuperman JM, Dale AM, White NSFebruary 2018Not Determined
29337280Create StudyBehavioral interventions for reducing head motion during MRI scans in children.NeuroImageGreene DJ, Koller JM, Hampton JM, Wesevich V, Van AN, Nguyen AL, Hoyt CR, Mcintyre L, Earl EA, Klein RL, Shimony JS, Petersen SE, Schlaggar BL, Fair DA, Dosenbach NUFJanuary 2018Not Determined
29198276Create StudyDoes Cannabis Use Cause Declines in Neuropsychological Functioning? A Review of Longitudinal Studies.Journal of the International Neuropsychological Society : JINSGonzalez R, Pacheco-Colón I, Duperrouzel JC, Hawes SWOctober 2017Not Determined
29197573Create StudyDevelopment of the emotional brain.Neuroscience lettersCasey BJ, Heller AS, Gee DG, Cohen AODecember 2017Not Determined
29182012Create StudyValidating Online Measures of Cognitive Ability in Genes for Good, a Genetic Study of Health and Behavior.AssessmentLiu M, Rea-Sandin G, Foerster J, Fritsche L, Brieger K, Clark C, Li K, Pandit A, Zajac G, Abecasis GR, Vrieze SNovember 2017Not Determined
29150307Create StudyApproaching Retention within the ABCD Study.Developmental cognitive neuroscienceFeldstein Ewing SW, Chang L, Cottler LB, Tapert SF, Dowling GJ, Brown SANovember 2017Not Determined
29113758Create StudyDemographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description.Developmental cognitive neuroscienceBarch DM, Albaugh MD, Avenevoli S, Chang L, Clark DB, Glantz MD, Hudziak JJ, Jernigan TL, Tapert SF, Yurgelun-Todd D, Alia-Klein N, Potter AS, Paulus MP, Prouty D, Zucker RA, Sher KJNovember 2017Not Determined
29107609Create StudyThe utility of twins in developmental cognitive neuroscience research: How twins strengthen the ABCD research design.Developmental cognitive neuroscienceIacono WG, Heath AC, Hewitt JK, Neale MC, Banich MT, Luciana MM, Madden PA, Barch DM, Bjork JMSeptember 2017Not Determined
29038777Create StudyThe ABCD study of neurodevelopment: Identifying neurocircuit targets for prevention and treatment of adolescent substance abuse.Current treatment options in psychiatryBjork JM, Straub LK, Provost RG, Neale MCJune 2017Not Determined
28935096Create StudyThe Effect of Acute Stress on the Calculus of Reward and Punishment.Biological psychiatry2017-10-15Not Determined
28900686Create StudyChanges in marijuana use symptoms and emotional functioning over 28-days of monitored abstinence in adolescent marijuana users.PsychopharmacologyJacobus J, Squeglia LM, Escobar S, Mckenna BM, Hernandez MM, Bagot KS, Taylor CT, Huestis MADecember 2017Not Determined
28868337Create StudyThe adolescent brain at risk for substance use disorders: a review of functional MRI research on motor response inhibition.Current opinion in behavioral sciencesKoyama MS, Parvaz MA, Goldstein RZFebruary 2017Not Relevant
28838468Create StudyComputational Dysfunctions in Anxiety: Failure to Differentiate Signal From Noise.Biological psychiatryHuang H, Thompson W, Paulus MPSeptember 2017Not Determined
28828560Create StudyLinking tuberous sclerosis complex, excessive mTOR signaling, and age-related neurodegeneration: a new association between TSC1 mutation and frontotemporal dementia.Acta neuropathologicaOlney NT, Alquezar C, Ramos EM, Nana AL, Fong JC, Karydas AM, Taylor JB, Stephens ML, Argouarch AR, Van Berlo VA, Dokuru DR, Sherr EH, Jicha GA, Dillon WP, Desikan RS, De May M, Seeley WW, Coppola G, Miller BL, Kao AWNovember 2017Not Relevant
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
28779616Create StudyPhenotypic and familial associations between childhood maltreatment and cannabis initiation and problems in young adult European-American and African-American women.Drug and alcohol dependenceGrant JD, Agrawal A, Werner KB, Mccutcheon VV, Nelson EC, Madden PAF, Bucholz KK, Heath AC, Sartor CEOctober 2017Not Relevant
28716389Create StudyBiomedical ethics and clinical oversight in multisite observational neuroimaging studies with children and adolescents: The ABCD experience.Developmental cognitive neuroscienceClark DB, Fisher CB, Bookheimer S, Brown SA, Evans JH, Hopfer C, Hudziak J, Montoya I, Murray M, Pfefferbaum A, Yurgelun-Todd DJune 2017Not Determined
28714184Create StudyResearch Review: What have we learned about adolescent substance use?Journal of child psychology and psychiatry, and allied disciplinesGray KM, Squeglia LMJuly 2017Not Determined
28641131Create StudyChildren's brain activation during risky decision-making: A contributor to substance problems?Drug and alcohol dependenceCrowley TJ, Dalwani MS, Sakai JT, Raymond KM, Mcwilliams SK, Banich MT, Mikulich-Gilbertson SKJune 2017Not Relevant
28438513Create StudyRapid-Response Impulsivity Predicts Depression and Posttraumatic Stress Disorder Symptomatology at 1-Year Follow-Up in Blast-Exposed Service Members.Archives of physical medicine and rehabilitationBjork JM, Burroughs TK, Franke LM, Pickett TC, Johns SE, Moeller FG, Walker WCAugust 2017Not Determined
28279988Create StudyEntorhinal Cortex: Antemortem Cortical Thickness and Postmortem Neurofibrillary Tangles and Amyloid Pathology.AJNR. American journal of neuroradiologyThaker AA, Weinberg BD, Dillon WP, Hess CP, Cabral HJ, Fleischman DA, Leurgans SE, Bennett DA, Hyman BT, Albert MS, Killiany RJ, Fischl B, Dale AM, Desikan RSMarch 2017Not Determined
28271184Create StudyShared genetic risk between corticobasal degeneration, progressive supranuclear palsy, and frontotemporal dementia.Acta neuropathologicaYokoyama JS, Karch CM, Fan CC, Bonham LW, Kouri N, Ross OA, Rademakers R, Kim J, Wang Y, Höglinger GU, Müller U, Ferrari R, Hardy J, Momeni P, Sugrue LP, Hess CP, James Barkovich A, Boxer AL, Seeley WW, Rabinovici GD, Rosen HJ, Miller BL, Schmansky NJ, Fischl B, et al.March 2017Not Relevant
28161313Create StudyDevelopment of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature.NeuroImageGrayson DS, Fair DAFebruary 2017Not Determined
28018986Create StudyA Roadmap for the Development of Applied Computational Psychiatry.Biological psychiatry : cognitive neuroscience and neuroimagingPaulus MP, Huys QJ, Maia TVSeptember 2016Not Relevant
27995817Create StudyPsychophysiological endophenotypes to characterize mechanisms of known schizophrenia genetic loci.Psychological medicineLiu M, Malone SM, Vaidyanathan U, Keller MC, Abecasis G, Mcgue M, Iacono WG, Vrieze SIDecember 2016Not Relevant
27899424Create StudyGenetic architecture of sporadic frontotemporal dementia and overlap with Alzheimer's and Parkinson's diseases.Journal of neurology, neurosurgery, and psychiatryFerrari R, Wang Y, Vandrovcova J, Guelfi S, Witeolar A, Karch CM, Schork AJ, Fan CC, Brewer JB, Momeni P, Schellenberg GD, Dillon WP, Sugrue LP, Hess CP, Yokoyama JS, Bonham LW, Rabinovici GD, Miller BL, Andreassen OA, Dale AM, Hardy J, Desikan RSFebruary 2017Not Relevant
27862206Create StudyMalformations of cortical development.Annals of neurologyDesikan RS, Barkovich AJDecember 2016Not Relevant
27774503Create StudyIs biological aging accelerated in drug addiction?Current opinion in behavioral sciencesBachi K, Sierra S, Volkow ND, Goldstein RZ, Alia-Klein NFebruary 2017Not Relevant
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27539487Create StudyNeural Predictors of Initiating Alcohol Use During Adolescence.The American journal of psychiatrySqueglia LM, Ball TM, Jacobus J, Brumback T, Mckenna BS, Nguyen-Louie TT, Sorg SF, Paulus MP, Tapert SFAugust 2016Not Determined
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27408790Create StudyRecreational marijuana use impacts white matter integrity and subcortical (but not cortical) morphometry.NeuroImage. ClinicalOrr JM, Paschall CJ, Banich MTJanuary 2016Not Determined
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Relevant Publications
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Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Imaging (Structural, fMRI, DTI, PET, microscopy) info icon04/24/2017Approved
genomics/omics info icon04/24/2017Approved
Wearable Data info icon04/24/2017Approved
ABCD Behavior Measures info icon01/15/2018Approved
ABCD Cognitive Measures info icon01/15/2018Approved
ABCD Demographics Measures info icon01/15/2018Approved
ABCD Diagnostic Measures info icon01/15/2018Approved
ABCD Med History Measures info icon01/15/2018Approved
ABCD Parenting Measures info icon01/15/2018Approved
ABCD Personality Measures info icon01/15/2018Approved
ABCD Phys Characteristics Measures info icon01/15/2018Approved
ABCD Phys Exam Measures info icon01/15/2018Approved
ABCD Psychosis Measures info icon01/15/2018Approved
ABCD PTSD Measures info icon01/15/2018Approved
ABCD Questionnaire Measures info icon01/15/2018Approved
ABCD Sleep Measures info icon01/15/2018Approved
ABCD Social Adjustment Measures info icon01/15/2018Approved
ABCD Socioeconomic Measures info icon01/15/2018Approved
ABCD Substance Use Measures info icon01/15/2018Approved
ABCD Summary Measures info icon01/15/2018Approved
ABCD Task Based Measures info icon01/15/2018Approved
ABCD Trauma Measures info icon01/15/2018Approved
ABCD Activity Measures info icon01/15/2018Approved
Evaluated Data info icon01/15/2018Approved
ABCD Treatment Measures info icon01/15/2018Approved
Processed MRI Data info icon01/15/2018Approved
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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
Adolescent Brain Cognitive Development Study (ABCD) - Annual Release 2.0The ABCD Curated Annual Release 2.0 includes high quality baseline data from ~11,800 research participants, including minimally processed brain image volumes and tabulated structural MRI, diffusion MRI, resting-state fMRI and task fMRI results, as well as all non-imaging assessment data from the genetics, mental health, physical health, neurocognition, substance use, mobile technology, and culture & environment domains. All personally identifiable information is removed from the data to ensure participant confidentiality and anonymity. For a detailed description of all the measures included in this release, download the Curated Annual Release 2.0 Summary document. Problems have been identified with imaging data tables and associated data dictionaries for the following instruments: abcd_dti_p101, abcd_dti_p201, abcd_ddtidp101, abcd_ddtidp201, abcd_dmdtifp201, abcd_midasemdp201, abcd_midr1bwdp201, abcd_tr2bwdp201, abcd_midabwdp201, abcd_tmidr1semdp201, abcd_tr2semdp201. Corrected files will be available soon. An error was also discovered in imaging data collected from Siemens scanners between September 2017 and December 2017 where structural images are flipped left-right. These data will be updated in a patch release later this year. 11875/11875Primary AnalysisShared
Neural correlates of response inhibition and executive control in children with extensive screen timePreliminary fMRI data reveals that total weekly screen-time interacts with sex in marginally predicting BOLD signal during an emotional N-Back task across frontal and parietal regions and significantly predicts stop signal failed stop performance in the right superior frontal region. However, given the few regions influenced and small effect-sizes, it appears the total screen-time is not likely an important predictor of neural functioning. Thus, fears regarding total screen-time may be overstated. Future research should focus on how screens are used, rather than total amount of time used.11875/11875Secondary AnalysisPrivate
titletitle11833/11833Primary AnalysisPrivate
Adolescent Brain Cognitive Development Study (ABCD) - Annual Release 1.0The ABCD Curated Annual Release 1.0 includes high quality baseline data from the first ~4,500 research participants, including minimally processed brain image volumes and tabulated structural MRI, diffusion MRI, resting-state fMRI and task fMRI results, as well as all non-imaging assessment data from the physical & mental health, neurocognition, substance use, biospecimens and culture & environment domains. All personally identifiable information is removed from the data to ensure participant confidentiality and anonymity. For a detailed description of all the measures included in this release, download the Curated Annual Release 1.0 Summary document.4521/4521Primary AnalysisShared
Adolescent Brain Cognitive Development Study (ABCD) - Annual Release 1.1The ABCD Curated Annual Release 1.1 includes high quality baseline data from the first ~4,500 research participants, including minimally processed brain image volumes and tabulated structural MRI, diffusion MRI, resting-state fMRI and task fMRI results, as well as all non-imaging assessment data from the genetics, physical & mental health, neurocognition, substance use, biospecimens and culture & environment domains. All personally identifiable information is removed from the data to ensure participant confidentiality and anonymity. For a detailed description of all the measures included in this release, download the Curated Annual Release 1.1 Summary document.4521/4521Primary AnalysisShared
Demographic, Psychological, Behavioral, and Cognitive Correlates of BMI in Youth: Findings from the Adolescent Brain Cognitive Development (ABCD) StudyBackground: Previous research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to assess their relative associations with body mass index (BMI; kg/m2) in a nationally representative sample of youth. Methods: Multiple machine learning regression approaches were employed to estimate the relative importance of 43 demographic, psychological, behavioral, and cognitive variables previously associated with BMI in youth to elucidate the associations of both fixed (e.g., demographics) and potentially modifiable (e.g., psychological/behavioral) variables with BMI in a diverse representative sample of youth. The primary analyses consisted of 9-10 year olds divided into a training (n = 2724) and test (n = 1123) sets. Secondary analyses were conducted by sex, ethnicity, and race. Results: The full sample model captured 12% of the variance in both the training and test sets, suggesting good generalizability. Stimulant medications and demographic factors were most strongly associated with BMI. Lower attention problems and matrix reasoning (i.e., nonverbal abstract problem solving and inductive reasoning) and higher social problems and screen time were robust positive correlates in the primary analyses and in analyses separated by sex. Conclusions: Beyond demographics and stimulant use, this study highlights abstract reasoning as an important cognitive variable and reaffirms social problems and screen time as significant correlates of BMI and as modifiable therapeutic targets. Prospective data are needed to understand the predictive power of these variables for BMI gain.4521/4521Secondary AnalysisShared
ABCD Neurocognitive Prediction Challenge 2019: Test SetThe test data set for the ABCD Neurocognitive Prediction Challenge 2019 contains skull stripped and segmented T1-weighted MRIs, and volumetric brain measures of 3648 participants of the ABCD study. https://sibis.sri.com/abcd-np-challenge provides a detailed description about the processing. When using the data in publications, the Data Supplement of "Pfefferbaum et al., Altered Brain Developmental Trajectories in Adolescents After Initiating Drinking. Am J Psychiatry, 175(4), pp. 370-380, 2018" for should be cited as description of the processing pipeline. The data in this Study were derived from the Adolescent Brain Cognitive Development 1.1 Release (http://dx.doi.org/10.15154/1460410, accessed on or before November 15, 2018) and the Fast Track DICOM share in the Adolescent Brain Cognitive Development Study Collection 2573 (https://ndar.nih.gov/edit_collection.html?id=2573, accessed on or before November 15, 2018). The individual-level imaging phenotype data in this Collection was computed by a custom processing pipeline developed by the organizers of the ABCD Prediction Challenge. The imaging phenotype data may therefore differ from the values shared by the ABCD Study investigators in Release 1.1 or future releases4516/4516Secondary AnalysisShared
Assessment of the Prodromal Questionnaire-Brief Child Version for Measurement of Self-Reported Psychoticlike Experiences in ChildhoodIMPORTANCE: Childhood psychoticlike experiences (PLEs) are associated with greater odds of a diagnosis of a psychotic disorder during adulthood. However, no known, well-validated self-report tools have been designed to measure childhood PLEs. OBJECTIVE: To examine the construct validity and psychometric properties of a measure of PLEs, the Prodromal Questionnaire-Brief Child Version (PQ-BC). DESIGN, SETTING, AND PARTICIPANTS: This validation study used data from the first wave of the Adolescent Brain and Cognitive Development (ABCD) Study, a prospective longitudinal study aimed at assessing risk factors associated with adverse physical and mental health outcomes from ages 9 to 10 years into late adolescence and early adulthood. The population-based sample of 3984 children within the ABCD data set was recruited from 20 research sites across the United States. Data for this study were collected from June 1, 2016, through August 31, 2017. MAIN OUTCOMES AND MEASURES: The PQ-BC Total and Distress scores were analyzed for measurement invariance across race/ethnicity and sex, their associations with measures of PLEs, and their associations with known correlates of PLEs, including internalizing and externalizing symptoms, neuropsychological test performance, and developmental milestones. RESULTS: The study analyses included 3984 participants (1885 girls [47.3%] and 2099 boys [52.7%]; mean [SE] age, 10.0 [0.01] years). The results demonstrated measurement invariance across race/ethnicity and sex. A family history of psychotic disorder was associated with higher mean (SE) PQ-BC Total (3.883 [0.352]; β = 0.061; 95% CI, 0.027-0.094) and Distress (10.210 [1.043]; β = 0.051; 95% CI, 0.018-0.084) scores, whereas a family history of depression or mania was not. Higher PQ-BC scores were associated with higher rates of child-rated internalizing symptoms (Total score: β range, 0.218 [95% CI, 0.189-0.246] to 0.273 [95% CI, 0.245-0.301]; Distress score: β range, 0.248 [95% CI, 0.220-0.277] to 0.310 [95% CI, 0.281-0.338]), neuropsychological test performance deficits such as working memory (Total score: β = -0.042 [95% CI, -0.077 to -0.008]; Distress score: β = -0.051 [95% CI, -0.086 to -0.017]), and motor and speech developmental milestone delays (Total score: β = 0.057 [95% CI, 0.026-0.086] for motor; β = 0.042 [95% CI, 0.010-0.073] for speech; Distress score: β = 0.048 [95% CI, 0.017-0.079] for motor; β = 0.049 [95% CI, 0.018-0.081] for speech). CONCLUSIONS AND RELEVANCE: These results provide support for the construct validity and demonstrate adequate psychometric properties of a self-report instrument designed to measure childhood PLEs, providing evidence that the PQ-BC may be a useful measure of early risk for psychotic disorders. Furthermore, these data suggest that PLEs at school age are associated with many of the same familial, cognitive, and emotional factors associated with psychotic symptoms in older populations, consistent with the dimensionality of psychosis across the lifespan. 3982/3982Secondary AnalysisShared
ABCD Neurocognitive Prediction Challenge 2019: Training SetTraining data set for the ABCD Neurocognitive Prediction Challenge 2019 containing skull stripped and segmented T1-weighted MRIs, volumetric brain measures, and residual fluid intelligence scores of 3739 participants of the ABCD study. https://sibis.sri.com/abcd-np-challenge provides a detailed description about the processing. When using the data in publications, the Data Supplement of "Pfefferbaum et al., Altered Brain Developmental Trajectories in Adolescents After Initiating Drinking. Am J Psychiatry, 175(4), pp. 370-380, 2018" for should be cited as description of the processing pipeline. The data in this Study were derived from the Adolescent Brain Cognitive Development 1.1 Release (http://dx.doi.org/10.15154/1460410, accessed on or before November 15, 2018) and the Fast Track DICOM share in the Adolescent Brain Cognitive Development Study Collection 2573 (https://ndar.nih.gov/edit_collection.html?id=2573, accessed on or before November 15, 2018). The individual-level imaging phenotype data in this Collection was computed by a custom processing pipeline developed by the organizers of the ABCD Prediction Challenge. The imaging phenotype data may therefore differ from the values shared by the ABCD Study investigators in Release 1.1 or future releases3728/3739Secondary AnalysisShared
Resting State Functional Connectivity and Psychotic-Like Experiences in Childhood: Results from the Adolescent Brain Cognitive Development StudyBackground: Psychotic-like experiences (PLEs) during childhood are associated with greater risk of developing a psychotic disorder, highlighting the importance of identifying neural correlates of childhood PLEs. Three major cortical networks- the cingulo-opercular network (CON), default mode network (DMN), and fronto-parietal network (FPN)- are consistently implicated in psychosis as well as PLEs in adults. However, it is unclear whether variation in functional connectivity is associated with PLEs in school-aged children. Methods: Using hierarchical linear models, we examined the relationships between childhood PLEs and resting-state functional connectivity of the CON, DMN, and FPN, as well as the other networks using an a priori network parcellation, using data from 3,434 9-10-year-olds in the Adolescent Brain Cognitive Development (ABCD) study. We examined within-network, between-network, and subcortical connectivity. Results: Decreased CON and DMN connectivity, as well as cingulo-parietal (CPAR) network connectivity, were associated with greater PLEs, even after accounting for family history of psychotic disorders, internalizing symptoms, and cognitive performance. Decreased DMN network connectivity was more strongly associated with increased delusional ideation, whereas decreased CON connectivity was more strongly associated with increased perceptual distortions. Increased CON-cerebellar and decreased CPAR-cerebellar connectivity were also associated with increased PLEs, and CPAR-cerebellar connectivity was more strongly associated with increased perceptual distortions. Conclusion: Consistent with hypotheses about the dimensionality of psychosis, our results provide evidence that neural correlates of PLEs, such as reduced functional connectivity of higher-order cognitive networks, are present even in school-aged children. Therefore, the results provide further validation for continuity of PLEs across the lifespan. 3434/3434Secondary AnalysisPrivate
ABCD Neurocognitive Prediction Challenge 2019: Validation setValidation data set for the ABCD Neurocognitive Prediction Challenge 2019 containing skull stripped and segmented T1-weighted MRIs, volumetric brain measures, and residual fluid intelligence scores of 415 participants of the ABCD study. https://sibis.sri.com/abcd-np-challenge provides a detailed description about the processing. When using the data in publications, the Data Supplement of "Pfefferbaum et al., Altered Brain Developmental Trajectories in Adolescents After Initiating Drinking. Am J Psychiatry, 175(4), pp. 370-380, 2018" for should be cited as description of the processing pipeline. The data in this Study were derived from the Adolescent Brain Cognitive Development 1.1 Release (http://dx.doi.org/10.15154/1460410, accessed on or before November 15, 2018) and the Fast Track DICOM share in the Adolescent Brain Cognitive Development Study Collection 2573 (https://ndar.nih.gov/edit_collection.html?id=2573, accessed on or before November 15, 2018). The individual-level imaging phenotype data in this Collection was computed by a custom processing pipeline developed by the organizers of the ABCD Prediction Challenge. The imaging phenotype data may therefore differ from the values shared by the ABCD Study investigators in Release 1.1 or future releases414/415Secondary AnalysisShared
Sexual dimorphism and laterality in neurostructural development from late childhood to early adulthood: A cross-sectional voxel based morphometry studyIntro: Adolescence is a sensitive period for social, emotional, risk, and reward behavior and is an onset period for serious psychiatric disorders. Changes in behavior in adolescence may be mediated by the rapid changes in brain structure observed during this time period. While adolescent structural development has been extensively analyzed, less is known about the developmental effects of sex or lateralized differences. Understanding how the brain typically develops during these critical periods may give insight into when structural deviations occur that result in psychopathology. Methods: Structural Magnetic Resonance Imaging (MRI) scans were obtained from samples of children (age 9-11, n=344), adolescents (age 13-14, n=271), and adults (age 22-25, n=56) using the same scanner and acquisition sequences. Gray and white matter densities and volumes were assessed using voxel-based morphometry, as were ventricular volumes, total tissue volumes, and average tissue densities. Asymmetry indices were created by comparing the left and right hemispheres of each individual’s brain maps. Age, sex, an age and sex interaction, age2, and an age2 and sex interaction were examined in a simultaneous multiple regression for each brain metric. Results: Gray matter density and volume declined with age, while white matter increased. Males had greater total volumes while females had greater white matter densities. After correcting for total tissue volume, local sex differences were largely greater in females. Laterality analyses suggested that medial brain structures developed earlier in the right hemisphere. Conclusions: Our findings suggest structural changes occur throughout adolescence and likely continue past early adulthood in frontal structures, primarily in white matter. Changes in density appear to precede volumetric changes. Males had larger global, not local, brain volumes. Total gray matter volume and average white matter densities changed faster in females. Lateralized differences in developmental timing offer a new line of investigation in adolescent approach and avoidance behavior.344/344Primary AnalysisPrivate
* Data not on individual level
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