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.

  • 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.

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

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.

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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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  • EEG
  • EGG
  • Eye Tracking
  • Omics
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Created On
1542Statistical LearningfMRI03/29/2020
1541Live Interaction (Experimenter-Infant)EEG03/12/2020
1540ABC-CT Social/Nonsocial (modified from 479)EEG03/12/2020
1539restHIP-2fMRI03/11/2020
1538restHIP-1fMRI03/11/2020
1537restWBfMRI03/11/2020
1535iPSC bulk DNA whole genome sequencing dataOmics02/25/2020
1534Single cell DNA whole genome sequencing high coverage dataOmics02/25/2020
1533Single cell DNA whole genome sequencing low coverage dataOmics02/25/2020
1532Resting State fMRIfMRI02/24/2020
1531Resting State fMRIfMRI02/24/2020
1530Resting State fMRI fMRI02/24/2020
1529Emotional Go No Go TaskfMRI02/21/2020
1528RestingfMRI02/21/2020
1527Pre- and Post-Treatment Reversal LearningfMRI02/12/2020
1526Brain-to-brain storytellingfMRI02/11/2020
1525Brain-to-brain teachingfMRI02/09/2020
1524Emotional Faces Assessment TaskfMRI02/06/2020
1523Repeated_Measurement_of_Daily_Social_PerceptionfMRI01/31/2020
1521Affective_NarrativesfMRI01/31/2020
1520Content-based dissociation of hippocampal involvement in predictionfMRI01/31/2020
1519AURORA _fMRI_WashUfMRI01/28/2020
1518WGS_90X_UO1MH106893-01_LIBDOmics01/27/2020
1517Reappraisal and Distraction Eye Tracking Task Eye Tracking01/27/2020
1514ChIP-seq INPUTOmics01/24/2020
1513ChIP-seq H3K4me1Omics01/24/2020
1512ChIP-seq H3K4me3Omics01/24/2020
1511ChIP-seq H3K27me3Omics01/24/2020
1510Tourettes RNA-seqOmics01/23/2020
1508Reappraisal and Distraction ERP Task EEG01/23/2020
1507RNA-Seq_dsACCC/STGOmics01/23/2020
1506Functional Genomics: RNA SeqOmics01/22/2020
1504UH3EEG01/21/2020
1503FlexibleTemplate_eyetrackingEye Tracking01/21/2020
1502template_variabilityEye Tracking01/19/2020
1501Working Memory TaskfMRI01/17/2020
1500resting statefMRI01/17/2020
1499restfMRI01/16/2020
1498gngNSfMRI01/16/2020
1497gngSNfMRI01/16/2020
1496gngNHfMRI01/16/2020
1495gngHNfMRI01/16/2020
1494gngNFfMRI01/16/2020
1493gngFNfMRI01/16/2020
1492forbesfMRI01/16/2020
1491LCNE NPU TaskfMRI01/15/2020
1490LCNE Resting StatefMRI01/15/2020
1489EEG FOBSEEG01/15/2020
1488TRT_ETT_Task_EEGEEG01/15/2020
1487Task and threat driven visual competitionEEG01/14/2020
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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Pediatric Imaging, Neurocognition, and Genetics (PING)
Terry Jernigan 
The PING Data Resource is the product of a multi-site project involving developmental researchers across the United States including UC San Diego the University of Hawaii UC Los Angeles Children's Hospital of Los Angeles of the University of Southern California UC Davis Kennedy Krieger Institute of Johns Hopkins University Sackler Institute of Cornell University University of Massachusetts Massachusetts General Hospital at Harvard University and Yale University. The Data Resource includes neurodevelopmental histories, information about developing mental and emotional functions, multimodal brain imaging data, and genotypes for well over 1000 children and adolescents between the ages of 3 and 20.
NIMH Data Archive
Funding Completed
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No
$9,107,610.00
210
204
1,494
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NIH - Extramural None

PING_Scanner_Protocols.zip Methods Scanner Protocols Qualified Researchers
PING_ImagingReleaseNotes.xlsx Methods Imaging Files Release Notes Qualified Researchers

RC2DA029475-01 Creating a Pediatric Imaging-Genomics Data Resource 09/30/2009 08/31/2013 210 204 UNIVERSITY OF CALIFORNIA, SAN DIEGO $9,107,610.00

IDNameCreated DateStatusType
653PING REST04/27/2017ApprovedfMRI
781PING Genetics (gDNA)08/24/2017ApprovedOmics
785PING Genetics (mtDNA)09/14/2017ApprovedOmics

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.

Dimensional Change Card Sort Test (DCCS) Clinical Assessments 1493
Family Developmental History Clinical Assessments 1493
Flanker Task Clinical Assessments 1493
FreeSurfer Volumetrix Imaging 1493
Genomics Subject Genomics 1493
Image Imaging 763
Imitation Based Assessment of Memory Clinical Assessments 1493
NIH Toolbox List Sorting Working Memory Test Clinical Assessments 1493
NIH Toolbox Oral Reading Recognition Test Clinical Assessments 1493
NIH Toolbox Picture Vocabulary Test Clinical Assessments 1493
Pattern Comparison Processing Speed Clinical Assessments 1493
Processed DTI Imaging 1493
Substance Use History Clinical Assessments 1493

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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
30534064Create StudyConnectivity of the Human Number Form Area Reveals Development of a Cortical Network for Mathematics.Frontiers in human neuroscienceNemmi F, Schel MA, Klingberg TJanuary 2018Not Determined
30321034Create StudyDevelopmental differentiation of executive functions on the NIH Toolbox Cognition Battery.NeuropsychologyAkshoomoff N, Brown TT, Bakeman R, Hagler DJOctober 2018Not Determined
30279459Create StudyBrain scans from 21,297 individuals reveal the genetic architecture of hippocampal subfield volumes.Molecular psychiatryVan Der Meer D, Rokicki J, Kaufmann T, Córdova-Palomera A, Moberget T, Alnæs D, Bettella F, Frei O, Doan NT, Sønderby IE, Smeland OB, Agartz I, Bertolino A, Bralten J, Brandt CL, Buitelaar JK, Djurovic S, Van Donkelaar M, Dørum ES, Espeseth T, Faraone SV, Fernández G, Fisher SE, Franke B, Haatveit B, et al.October 2018Not Determined
30190613Create StudyRegionally specific TSC1 and TSC2 gene expression in tuberous sclerosis complex.Scientific reportsLi Y, Barkovich MJ, Karch CM, Nillo RM, Fan CC, Broce IJ, Tan CH, Cuneo D, Hess CP, Dillon WP, Glenn OA, Glastonbury CM, Olney N, Yokoyama JS, Bonham LW, Miller B, Kao A, Schmansky N, Fischl B, Andreassen OA, Jernigan T, Dale A, Barkovich AJ, Desikan RS, Sugrue LPSeptember 2018Not Determined
30179114Create StudyAbnormal Morphology of Select Cortical and Subcortical Regions in Neurofibromatosis Type 1.RadiologyBarkovich MJ, Tan CH, Nillo RM, Li Y, Xu D, Glastonbury CM, Glenn OA, Dillon WP, Hess CP, Mueller S, Kline C, Dale AM, Jernigan TL, Sugrue LP, Barkovich AJ, Desikan RSNovember 2018Not Determined
30156357Create StudySchool climate is associated with cortical thickness and executive function in children and adolescents.Developmental sciencePiccolo LR, Merz EC, Noble KG, January 2019Not Determined
30094172Create StudyAnxiety, depression, impulsivity, and brain structure in children and adolescents.NeuroImage. ClinicalMerz EC, He X, Noble KG, January 2018Not Determined
29940596Create StudyThe Relationship between White Matter and Reading Acquisition, Refinement and Maintenance.Developmental neuroscienceCheema K, Cummine J, January 2018Not Determined
29877603Create StudyThe independent and interacting effects of socioeconomic status and dual-language use on brain structure and cognition.Developmental scienceBrito NH, Noble KG, November 2018Not Determined
29660215Create StudyPolygenic risk for psychiatric disorders correlates with executive function in typical development.Genes, brain, and behaviorSchork AJ, Brown TT, Hagler DJ, Thompson WK, Chen CH, Dale AM, Jernigan TL, Akshoomoff N, April 2018Not Determined
29637549Create StudyAutomated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning.EpilepsiaJin B, Krishnan B, Adler S, Wagstyl K, Hu W, Jones S, Najm I, Alexopoulos A, Zhang K, Zhang J, Ding M, Wang S, Wang ZIMay 2018Not Determined
29414494Create StudyNeuroanatomical morphometric characterization of sex differences in youth using statistical learning.NeuroImageSepehrband F, Lynch KM, Cabeen RP, Gonzalez-Zacarias C, Zhao L, D'Arcy M, Kesselman C, Herting MM, Dinov ID, Toga AW, Clark KAMay 2018Not Determined
29411414Create StudyWhole genome association study of brain-wide imaging phenotypes: A study of the ping cohort.Genetic epidemiologyWen C, Mehta CM, Tan H, Zhang HApril 2018Not Determined
29259302Create StudyModelling neuroanatomical variation during childhood and adolescence with neighbourhood-preserving embedding.Scientific reportsBall G, Adamson C, Beare R, Seal MLDecember 2017Not Determined
29205692Create StudyChanging brain connectivity dynamics: From early childhood to adulthood.Human brain mappingFaghiri A, Stephen JM, Wang YP, Wilson TW, Calhoun VDMarch 2018Not Determined
29053191Create StudyPerceived stress is associated with smaller hippocampal volume in adolescence.PsychophysiologyPiccolo LR, Noble KG, May 2018Not Determined
29026076Create StudySample composition alters associations between age and brain structure.Nature communicationsLewinn KZ, Sheridan MA, Keyes KM, Hamilton A, Mclaughlin KAOctober 2017Relevant
28960629Create StudyA multisample study of longitudinal changes in brain network architecture in 4-13-year-old children.Human brain mappingWierenga LM, Van Den Heuvel MP, Oranje B, Giedd JN, Durston S, Peper JS, Brown TT, Crone EA, January 2018Not Determined
28871469Create StudyImaging correlates for the 2016 update on WHO classification of grade II/III gliomas: implications for IDH, 1p/19q and ATRX status.Journal of neuro-oncologyDelfanti RL, Piccioni DE, Handwerker J, Bahrami N, Krishnan A, Karunamuni R, Hattangadi-Gluth JA, Seibert TM, Srikant A, Jones KA, Snyder VS, Dale AM, White NS, Mcdonald CR, Farid NSeptember 2017Not Determined
28756486Create StudyCortical morphology of the pars opercularis and its relationship to motor-inhibitory performance in a longitudinal, developing cohort.Brain structure & functionCurley LB, Newman E, Thompson WK, Brown TT, Hagler DJ, Akshoomoff N, Reuter C, Dale AM, Jernigan TLJanuary 2018Not Determined
28574722Create StudySocioeconomic Status, Amygdala Volume, and Internalizing Symptoms in Children and Adolescents.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53Merz EC, Tottenham N, Noble KG2018 Mar-AprNot Determined
28359301Create StudyBromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer.BMC genomicsZuber V, Bettella F, Witoelar A, Andreassen OA, Mills IG, Urbanucci AMarch 2017Not Determined
28279985Create StudyRestriction Spectrum Imaging Improves Risk Stratification in Patients with Glioblastoma.AJNR. American journal of neuroradiologyKrishnan AP, Karunamuni R, Leyden KM, Seibert TM, Delfanti RL, Kuperman JM, Bartsch H, Elbe P, Srikant A, Dale AM, Kesari S, Piccioni DE, Hattangadi-Gluth JA, Farid N, Mcdonald CR, White NSMarch 2017Not Determined
28222217Create StudyMulti-component diffusion characterization of radiation-induced white matter damage.Medical physicsKarunamuni RA, White NS, Mcdonald CR, Connor M, Pettersson N, Seibert TM, Kuperman J, Farid N, Moiseenko V, Dale AM, Hattangadi-Gluth JAFebruary 2017Not Determined
28089557Create StudyLower total and regional grey matter brain volumes in youth with perinatally-acquired HIV infection: Associations with HIV disease severity, substance use, and cognition.Brain, behavior, and immunityLewis-De Los Angeles CP, Williams PL, Huo Y, Wang SD, Uban KA, Herting MM, Malee K, Yogev R, Csernansky JG, Nichols S, Van Dyke RB, Sowell ER, Wang L, May 2017Not Determined
28088647Create StudyThe developmental relationship between specific cognitive domains and grey matter in the cerebellum.Developmental cognitive neuroscienceMoore DM, D'Mello AM, Mcgrath LM, Stoodley CJApril 2017Not Determined
27906520Create StudyConstruction of the human forebrain.Wiley interdisciplinary reviews. Cognitive scienceJernigan TL, Stiles JJanuary 2017Not Determined
27906499Create StudyIndividual differences in human brain development.Wiley interdisciplinary reviews. Cognitive scienceBrown TTJanuary 2017Not Determined
27859682Create StudyA method for integrating neuroimaging into genetic models of learning performance.Genetic epidemiologyMehta CM, Gruen JR, Zhang HJanuary 2017Not Determined
27793590Create StudyIndividual differences in children's global motion sensitivity correlate with TBSS-based measures of the superior longitudinal fasciculus.Vision researchBraddick O, Atkinson J, Akshoomoff N, Newman E, Curley LB, Gonzalez MR, Brown T, Dale A, Jernigan TDecember 2016Not Determined
27781144Create StudySocioeconomic status, white matter, and executive function in children.Brain and behaviorUrsache A, Noble KG, October 2016Not Determined
27609620Create StudyAutomated MRI Volumetric Analysis in Patients with Rasmussen Syndrome.AJNR. American journal of neuroradiologyWang ZI, Krishnan B, Shattuck DW, Leahy RM, Moosa AN, Wyllie E, Burgess RC, Al-Sharif NB, Joshi AA, Alexopoulos AV, Mosher JC, Udayasankar U, Jones SEDecember 2016Not Determined
27458748Create StudyGlobal Visual Motion Sensitivity: Associations with Parietal Area and Children's Mathematical Cognition.Journal of cognitive neuroscienceBraddick O, Atkinson J, Newman E, Akshoomoff N, Kuperman JM, Bartsch H, Chen CH, Dale AM, Jernigan TLDecember 2016Not Determined
27412137Create StudyGray matter maturation and cognition in children with different APOE ε genotypes.NeurologyChang L, Douet V, Bloss C, Lee K, Pritchett A, Jernigan TL, Akshoomoff N, Murray SS, Frazier J, Kennedy DN, Amaral DG, Gruen J, Kaufmann WE, Casey BJ, Sowell E, Ernst T, August 2016Not Determined
27338279Create StudyIdentification of Gene Loci That Overlap Between Schizophrenia and Educational Attainment.Schizophrenia bulletinLe Hellard S, Wang Y, Witoelar A, Zuber V, Bettella F, Hugdahl K, Espeseth T, Steen VM, Melle I, Desikan R, Schork AJ, Thompson WK, Dale AM, Djurovic S, Andreassen OA, June 2016Not Determined
27106406Create StudyRestriction spectrum imaging predicts response to bevacizumab in patients with high-grade glioma.Neuro-oncologyMcdonald CR, Delfanti RL, Krishnan AP, Leyden KM, Hattangadi-Gluth JA, Seibert TM, Karunamuni R, Elbe P, Kuperman JM, Bartsch H, Piccioni DE, White NS, Dale AM, Farid NNovember 2016Not Determined
27088644Create StudyAssociation Between Genetic Traits for Immune-Mediated Diseases and Alzheimer Disease.JAMA neurologyYokoyama JS, Wang Y, Schork AJ, Thompson WK, Karch CM, Cruchaga C, Mcevoy LK, Witoelar A, Chen CH, Holland D, Brewer JB, Franke A, Dillon WP, Wilson DM, Mukherjee P, Hess CP, Miller Z, Bonham LW, Shen J, Rabinovici GD, Rosen HJ, Miller BL, Hyman BT, Schellenberg GD, Karlsen TH, et al.June 2016Not Determined
27001846Create StudyIndividual differences in frontolimbic circuitry and anxiety emerge with adolescent changes in endocannabinoid signaling across species.Proceedings of the National Academy of Sciences of the United States of AmericaGee DG, Fetcho RN, Jing D, Li A, Glatt CE, Drysdale AT, Cohen AO, Dellarco DV, Yang RR, Dale AM, Jernigan TL, Lee FS, Casey BJ, April 2016Not Determined
26920376Create StudyGenetic overlap between multiple sclerosis and several cardiovascular disease risk factors.Multiple sclerosis (Houndmills, Basingstoke, England)Wang Y, Bos SD, Harbo HF, Thompson WK, Schork AJ, Bettella F, Witoelar A, Lie BA, Li W, Mcevoy LK, Djurovic S, Desikan RS, Dale AM, Andreassen OADecember 2016Not Determined
26822727Create StudyBrain Region-Specific Degeneration with Disease Progression in Late Infantile Neuronal Ceroid Lipofuscinosis (CLN2 Disease).AJNR. American journal of neuroradiologyDyke JP, Sondhi D, Voss HU, Yohay K, Hollmann C, Mancenido D, Kaminsky SM, Heier LA, Rudser KD, Kosofsky B, Casey BJ, Crystal RG, Ballon DJune 2016Not Determined
26695485Create StudyGenetic Sharing with Cardiovascular Disease Risk Factors and Diabetes Reveals Novel Bone Mineral Density Loci.PloS oneReppe S, Wang Y, Thompson WK, Mcevoy LK, Schork AJ, Zuber V, Leblanc M, Bettella F, Mills IG, Desikan RS, Djurovic S, Gautvik KM, Dale AM, Andreassen OA, January 2015Not Determined
26684071Create StudyAltered functional connectivity in children with mild to moderate TBI relates to motor control.Journal of pediatric rehabilitation medicineRisen SR, Barber AD, Mostofsky SH, Suskauer SJJanuary 2015Not Determined
26555806Create StudyNew statistical approaches exploit the polygenic architecture of schizophrenia--implications for the underlying neurobiology.Current opinion in neurobiologySchork AJ, Wang Y, Thompson WK, Dale AM, Andreassen OAFebruary 2016Not Determined
26540268Create StudyCorrection: Improved Detection of Common Variants Associated with Schizophrenia and Bipolar Disorder Using Pleiotropy-Informed Conditional False Discovery Rate.PLoS geneticsAndreassen OA, Thompson WK, Schork AJ, Ripke S, Mattingsdal M, Kelsoe JR, Kendler KS, O'Donovan MC, Rujescu D, Werge T, Sklar P, Roddey JC, Chen CH, Mcevoy L, Desikan RS, Djurovic S, Dale AMNovember 2015Not Determined
26487741Create StudyIdentifying Novel Gene Variants in Coronary Artery Disease and Shared Genes With Several Cardiovascular Risk Factors.Circulation researchLeblanc M, Zuber V, Andreassen BK, Witoelar A, Zeng L, Bettella F, Wang Y, Mcevoy LK, Thompson WK, Schork AJ, Reppe S, Barrett-Connor E, Ligthart S, Dehghan A, Gautvik KM, Nelson CP, Schunkert H, Samani NJ, Ridker PM, Chasman DI, Aukrust P, Djurovic S, Frigessi A, Desikan RS, et al.January 2016Not Determined
26404018Create StudyGo/No Go task performance predicts cortical thickness in the caudal inferior frontal gyrus in young adults with and without ADHD.Brain imaging and behaviorNewman E, Jernigan TL, Lisdahl KM, Tamm L, Tapert SF, Potkin SG, Mathalon D, Molina B, Bjork J, Castellanos FX, Swanson J, Kuperman JM, Bartsch H, Chen CH, Dale AM, Epstein JN, Group MNSeptember 2016Not Determined
26347228Create StudyToward an integrative science of the developing human mind and brain: Focus on the developing cortex.Developmental cognitive neuroscienceJernigan TL, Brown TT, Bartsch H, Dale AMApril 2016Not Determined
26189703Create StudyLarge-scale genomics unveil polygenic architecture of human cortical surface area.Nature communicationsChen CH, Peng Q, Schork AJ, Lo MT, Fan CC, Wang Y, Desikan RS, Bettella F, Hagler DJ, Westlye LT, Kremen WS, Jernigan TL, Le Hellard S, Steen VM, Espeseth T, Huentelman M, Håberg AK, Agartz I, Djurovic S, Andreassen OA, Schork N, Dale AM,, et al.July 2015Not Determined
26183468Create StudyAnxiety is related to indices of cortical maturation in typically developing children and adolescents.Brain structure & functionNewman E, Thompson WK, Bartsch H, Hagler DJ, Chen CH, Brown TT, Kuperman JM, Mccabe C, Chung Y, Libiger O, Akshoomoff N, Bloss CS, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Kennedy DN, Murray SS, Sowell ER, Schork N, Kenet T, Kaufmann WE, Mostofsky S, Amaral DG, et al.July 2016Not Determined
26166778Create StudyModeling the 3D geometry of the cortical surface with genetic ancestry.Current biology : CBFan CC, Bartsch H, Schork AJ, Chen CH, Wang Y, Lo MT, Brown TT, Kuperman JM, Hagler DJ, Schork NJ, Jernigan TL, Dale AM, August 2015Not Determined
25953057Create StudyDyslexia and language impairment associated genetic markers influence cortical thickness and white matter in typically developing children.Brain imaging and behaviorEicher JD, Montgomery AM, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Darst BF, Casey BJ, Chang L, Ernst T, Frazier J, Kaufmann WE, Keating B, Kenet T, Kennedy D, Mostofsky S, Murray SS, Sowell ER, Bartsch H, Kuperman JM, Brown TT, Hagler DJ, Dale AM, Jernigan TL, et al.March 2016Not Determined
25951819Create StudyIndependent evidence for an association between general cognitive ability and a genetic locus for educational attainment.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsTrampush JW, Lencz T, Knowles E, Davies G, Guha S, Pe'Er I, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, Christoforou A, Reinvang I, Mukherjee S, Derosse P, Lundervold A, Steen VM, John M, Espeseth T, Räikkönen K, Widen E, Palotie A, Eriksson JG, Giegling I, Konte B, et al.July 2015Not Determined
25937488Create StudyThe Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository.NeuroImageJernigan TL, Brown TT, Hagler DJ, Akshoomoff N, Bartsch H, Newman E, Thompson WK, Bloss CS, Murray SS, Schork N, Kennedy DN, Kuperman JM, Mccabe C, Chung Y, Libiger O, Maddox M, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Sowell ER, Kenet T, Kaufmann WE, Mostofsky S, et al.January 2016Not Determined
25862742Create StudyPolygenic Overlap Between C-Reactive Protein, Plasma Lipids, and Alzheimer Disease.CirculationDesikan RS, Schork AJ, Wang Y, Thompson WK, Dehghan A, Ridker PM, Chasman DI, Mcevoy LK, Holland D, Chen CH, Karow DS, Brewer JB, Hess CP, Williams J, Sims R, O'Donovan MC, Choi SH, Bis JC, Ikram MA, Gudnason V, Destefano AL, Van Der Lee SJ, Psaty BM, Van Duijn CM, Launer L, et al.June 2015Not Determined
25821911Create StudyFamily income, parental education and brain structure in children and adolescents.Nature neuroscienceNoble KG, Houston SM, Brito NH, Bartsch H, Kan E, Kuperman JM, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Murray SS, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Kennedy DN, Van Zijl P, Mostofsky S, Kaufmann WE, Kenet T, Dale AM, Jernigan TL, Sowell ERMay 2015Not Determined
25744101Create StudyERBB4 polymorphism and family history of psychiatric disorders on age-related cortical changes in healthy children.Brain imaging and behaviorDouet V, Chang L, Lee K, Ernst T, March 2015Not Determined
25687773Create StudyGenetic overlap between Alzheimer's disease and Parkinson's disease at the MAPT locus.Molecular psychiatryDesikan RS, Schork AJ, Wang Y, Witoelar A, Sharma M, Mcevoy LK, Holland D, Brewer JB, Chen CH, Thompson WK, Harold D, Williams J, Owen MJ, O'Donovan MC, Pericak-Vance MA, Mayeux R, Haines JL, Farrer LA, Schellenberg GD, Heutink P, Singleton AB, Brice A, Wood NW, Hardy J, Martinez M, et al.December 2015Not Determined
25518740Create StudyPlexinA polymorphisms mediate the developmental trajectory of human corpus callosum microstructure.Journal of human geneticsBelyk M, Kraft SJ, Brown S, March 2015Not Determined
25257096Create StudyComparison of optical and MR-based tracking.Magnetic resonance in medicineGumus K, Keating B, White N, Andrews-Shigaki B, Armstrong B, Maclaren J, Zaitsev M, Dale A, Ernst TSeptember 2015Not Determined
25183788Create StudyDiffusion-weighted imaging in cancer: physical foundations and applications of restriction spectrum imaging.Cancer researchWhite NS, Mcdonald C, Mcdonald CR, Farid N, Kuperman J, Karow D, Schenker-Ahmed NM, Bartsch H, Rakow-Penner R, Holland D, Shabaik A, Bjørnerud A, Hope T, Hattangadi-Gluth J, Liss M, Parsons JK, Chen CC, Raman S, Margolis D, Reiter RE, Marks L, Kesari S, Mundt AJ, Kane CJ, Kaine CJ, et al.September 2014Not Determined
25135423Create StudyCombining diffusion and perfusion differentiates tumor from bevacizumab-related imaging abnormality (bria).Journal of neuro-oncologyFarid N, Almeida-Freitas DB, White NS, Mcdonald CR, Kuperman JM, Almutairi AA, Muller KA, Vandenberg SR, Kesari S, Dale AMDecember 2014Not Determined
25111045Create StudyStructural growth trajectories and rates of change in the first 3 months of infant brain development.JAMA neurologyHolland D, Chang L, Ernst TM, Curran M, Buchthal SD, Alicata D, Skranes J, Johansen H, Hernandez A, Yamakawa R, Kuperman JM, Dale AMOctober 2014Not Determined
24865593Create StudySchizophrenia-risk variant rs6994992 in the neuregulin-1 gene on brain developmental trajectories in typically developing children.Translational psychiatryDouet V, Chang L, Pritchett A, Lee K, Keating B, Bartsch H, Jernigan TL, Dale A, Akshoomoff N, Murray S, Bloss C, Kennedy DN, Amaral D, Gruen J, Kaufmann WE, Casey BJ, Sowell E, Ernst TMay 2014Not Determined
24786909Create StudyShared common variants in prostate cancer and blood lipids.International journal of epidemiologyAndreassen OA, Zuber V, Thompson WK, Schork AJ, Bettella F, Djurovic S, Desikan RS, Mills IG, Dale AMAugust 2014Not Determined
24650325Create StudyPhenX RISING: real world implementation and sharing of PhenX measures.BMC medical genomicsMccarty CA, Huggins W, Aiello AE, Bilder RM, Hariri A, Jernigan TL, Newman E, Sanghera DK, Strauman TJ, Zeng Y, Ramos EM, Junkins HA, March 2014Not Determined
24632141Create StudyBrain volume reductions in adolescent heavy drinkers.Developmental cognitive neuroscienceSqueglia LM, Rinker DA, Bartsch H, Castro N, Chung Y, Dale AM, Jernigan TL, Tapert SFJuly 2014Not Determined
24357182Create StudyDistinct effects of nuclear volume fraction and cell diameter on high b-value diffusion MRI contrast in tumors.Magnetic resonance in medicineWhite NS, Dale AMNovember 2014Not Determined
24319118Create StudyBoosting the power of schizophrenia genetics by leveraging new statistical tools.Schizophrenia bulletinAndreassen OA, Thompson WK, Dale AMJanuary 2014Not Determined
24219608Create StudyThe NIH Toolbox Cognition Battery: results from a large normative developmental sample (PING).NeuropsychologyAkshoomoff N, Newman E, Thompson WK, Mccabe C, Bloss CS, Chang L, Amaral DG, Casey BJ, Ernst TM, Frazier JA, Gruen JR, Kaufmann WE, Kenet T, Kennedy DN, Libiger O, Mostofsky S, Murray SS, Sowell ER, Schork N, Dale AM, Jernigan TLJanuary 2014Not Determined
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24077983Create StudyGenetic influences on brain developmental trajectories on neuroimaging studies: from infancy to young adulthood.Brain imaging and behaviorDouet V, Chang L, Cloak C, Ernst TJune 2014Not Determined
24024963Create StudyGenome-wide association study of shared components of reading disability and language impairment.Genes, brain, and behaviorEicher JD, Powers NR, Miller LL, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Darst BF, Casey BJ, Chang L, Ernst T, Frazier J, Kaufmann WE, Keating B, Kenet T, Kennedy D, Mostofsky S, Murray SS, Sowell ER, Bartsch H, Kuperman JM, Brown TT, Hagler DJ, Dale AM, et al.November 2013Not Determined
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23169628Create StudyLong-term influence of normal variation in neonatal characteristics on human brain development.Proceedings of the National Academy of Sciences of the United States of AmericaWalhovd KB, Fjell AM, Brown TT, Kuperman JM, Chung Y, Hagler DJ, Roddey JC, Erhart M, Mccabe C, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Darst BF, Casey BJ, Chang L, Ernst TM, Frazier J, Gruen JR, Kaufmann WE, Murray SS, Van Zijl P, Mostofsky S, Dale AM, et al.December 2012Not Determined
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23150548Create StudyMultimodal imaging of the self-regulating developing brain.Proceedings of the National Academy of Sciences of the United States of AmericaFjell AM, Walhovd KB, Brown TT, Kuperman JM, Chung Y, Hagler DJ, Venkatraman V, Roddey JC, Erhart M, Mccabe C, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Darst BF, Schork NJ, Casey BJ, Chang L, Ernst TM, Gruen JR, Kaufmann WE, Kenet T, Frazier J, Murray SS, Sowell ER, et al.November 2012Not Determined
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23007644Create StudyBrain development during the preschool years.Neuropsychology reviewBrown TT, Jernigan TLDecember 2012Not Determined
22917206Create StudyBlood-based gene expression signatures of infants and toddlers with autism.Journal of the American Academy of Child and Adolescent PsychiatryGlatt SJ, Tsuang MT, Winn M, Chandler SD, Collins M, Lopez L, Weinfeld M, Carter C, Schork N, Pierce K, Courchesne ESeptember 2012Not Determined
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Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
29026076Create StudySample composition alters associations between age and brain structure.Nature communicationsLewinn KZ, Sheridan MA, Keyes KM, Hamilton A, Mclaughlin KAOctober 2017
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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
PING Genomics Derived DataThe PING Data Resource is the product of a multi-site project involving developmental researchers across the United States including UC San Diego the University of Hawaii UC Los Angeles Childrens Hospital of Los Angeles of the University of Southern California UC Davis Kennedy Krieger Institute of Johns Hopkins University Sackler Institute of Cornell University University of Massachusetts Massachusetts General Hospital at Harvard University and Yale University. The Data Resource includes neurodevelopmental histories, information about developing mental and emotional functions, multimodal brain imaging data, and genotypes for well over 1000 children and adolescents between the ages of 3 and 20.1493/1493Primary AnalysisShared
Cortical remodelling in childhood is associated with genes enriched for neurodevelopmental disordersCortical development during childhood and adolescence has been characterised in recent years using metrics derived from Magnetic Resonance Imaging (MRI). Changes in cortical thickness are greatest in the first two decades of life and recapitulate the hierarchical, genetic organisation of the cortex, highlighting the potential early impact of gene expression on differences in cortical architecture over the lifespan. It is important to further our understanding of the possible neurobiological mechanisms the underlie cortical morphology as alterations in cortical thickness can act as a potential phenotypic marker of several common neurodevelopmental and psychiatric disorders. In this study, we combine MRI acquired from a typically-developing childhood population with gene expression databases to test the hypothesis that disrupted mechanisms common to neurodevelopmental disorders are encoded by genes expressed early in development and nested within those associated with typical cortical remodelling in childhood. We find that differential rates of thinning across the developing cortex are associated with spatially-varying gradients of gene expression. Genes that are expressed highly in regions of accelerated thinning are expressed predominantly in neurons, involved in synaptic remodeling, and associated with common cognitive and neurodevelopmental disorders. Further, we identify subsets of genes that are highly expressed in the prenatal period and jointly associated with both developmental cortical morphology and neurodevelopmental disorders. 754/754Secondary AnalysisPrivate
Developmental and environmental influences on memory systemsChildren with low socioeconomic status consistently show reduced memory ability and smaller hippocampal volumes. These findings have motivated a theory that the hippocampus underlies income-related cognitive gaps. However, income-related differences in hippocampal structure do not seems to mediate cognitive gaps, possibly because past studies do not distinguish between anterior and posterior hippocampus. We investigate anterior and posterior hippocampal volumes in children and adolescents from diverse socioeconomic backgrounds.700/700Primary AnalysisPrivate
Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescenceThe cortex is organised into broadly hierarchical functional systems with distinct neuroanatomical characteristics reflected by macroscopic measures of cortical morphology. Diffusion-weighted MRI allows the delineation of areal connectivity, changes to which reflect the ongoing maturation of white matter tracts. These developmental processes are intrinsically linked with timing coincident with the development of cognitive function. In this study, we use a data-driven multivariate approach, non-negative matrix factorisation, to define cortical regions that co-vary together across a large paediatric cohort (n=456) and are associated with specific subnetworks of cortical connectivity. We find that age between 3 and 21 years is associated with accelerated cortical thinning in fronto-parietal regions, whereas relative thinning of primary motor and sensory regions is slower. Together, the subject-specific weights of the derived set of components can be combined to predict chronological age. Structural connectivity networks reveal a relative increase in strength in connection within, as opposed to between hemispheres that vary in line with cortical changes. We confirm our findings in an independent sample. 456/456Secondary AnalysisPrivate
* Data not on individual level
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