NIMH Data Archive - Data

Genomics

Neuroimaging

Phenotype¹

New Trial
Clinical Trial

¹ Numbers reported are subjects by age

New Project
Grant/Project Number

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

Collection - Use Existing Experiment

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

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

Select	Experiment Id	Experiment Name	Experiment Type	Created On

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

Collection - Add Experiment

Add Supporting Documentation

Funding Source:
URL:

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

Use/Modify Existing Data Structure

Request New Data Structure

Targeted Enrollment:

Initial Submission Date:

Initial Share Date:

Data Structure Search:

Data Structures:

Submit

Request Submission Exemption

Not Eligible

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

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

Collection Updated

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

[CMS] Error

[CMS]

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

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

Data Expected Item	Original Sharing Date	New Sharing Date

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Pediatric Imaging, Neurocognition, and Genetics (PING) #2607

General
Experiments (3)
Shared Data
Publications (151)
Associated Studies (13)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Pediatric Imaging, Neurocognition, and Genetics (PING)
Collection Investigators:	Terry Jernigan
Collection Description:	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.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	03/24/2017
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$9,107,610.00
Subjects Shared:	1,494
Collection DOI:	10.15154/des9-nq59

{"values":[]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

File Name	File Type	Description	Audience
PING_Scanner_Protocols.zip	Methods	Scanner Protocols	Qualified Researchers
PING_ImagingReleaseNotes.xlsx	Methods	Imaging Files Release Notes	Qualified Researchers

Grant Information:

Project Number	Title	Start Date	Original End Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
RC2DA029475-01	Creating a Pediatric Imaging-Genomics Data Resource	09/30/2009	08/31/2011	08/31/2013	210	204	UNIVERSITY OF CALIFORNIA, SAN DIEGO	$9,107,610.00

Clinical Trials:

helpcenter.collection.general-tab

Collection - General Tab

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

Collection Title
Investigators
Collection Description
Collection Phase
Funding Source
Clinical Trials

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

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

Blinded Clinical Trial Status:

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

Funding Source

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

Supporting Documentation

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

Grant Information

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

Clinical Trials

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

Frequently Asked Questions

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

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

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

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

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

Glossary

Administrator Privilege

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

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

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

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

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

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

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

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

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

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

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

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

Contact NDA Help Desk

ID	Name	Created Date	Status	Type
653	PING REST	04/27/2017	Approved	fMRI
781	PING Genetics (gDNA)	08/24/2017	Approved	Omics
785	PING Genetics (mtDNA)	09/14/2017	Approved	Omics

helpcenter.collection.experiments-tab

Collection - Experiments

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

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

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

Frequently Asked Questions

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

Glossary

Experiment Status

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

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

Contact NDA Help Desk

Shared Data:

Title	Type	Number of Subjects
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

helpcenter.collection.shared-data-tab

Collection - Shared Data

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

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

Frequently Asked Questions

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

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

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

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

Glossary

Data Structure

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

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

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

Contact NDA Help Desk

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

Publications

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

PubMed ID	Study	Title	Journal	Authors	Date	Status
41659596	Create Study	Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.	bioRxiv : the preprint server for biology	Kim, Michael E; Rudravaram, Gaurav; Saunders, Adam; Gao, Chenyu; Ramadass, Karthik; Newlin, Nancy R; Kanakaraj, Praitayini; Bogdanov, Sam; Archer, Derek; Hohman, Timothy J; Jefferson, Angela L; Morgan, Victoria L; Roche, Alexandra; Englot, Dario J; Resnick, Susan M; Beason Held, Lori L; Bilgel, Murat; Cutting, Laurie E; Barquero, Laura A; D'Archangel, Micah A; Nguyen, Tin Q; Humphreys, Kathryn L; Niu, Yanbin; Vinci-Booher, Sophia; Cascio, Carissa J; Pechman, Kimberly R; Shashikumar, Niranjana; HABS-HD Study Team; Alzheimer’s Disease Neuroimaging Initiative; BIOCARD Study Team; Li, Zhiyuan; Vandekar, Simon N; Zhang, Panpan; Gore, John C; Liu, Yihao; Zuo, Lianrui; Schilling, Kurt G; Moyer, Daniel C; Landman, Bennett A	February 1, 2026	Not Determined
41256711	Create Study	Lifespan Normative Modeling of Brain Microstructure.	bioRxiv : the preprint server for biology	Villalón-Reina, Julio E; Zhu, Alyssa H; Benavidez, Sebastian; Moreau, Clara A; Feng, Yixue; Chattopadhyay, Tamoghna; Nabulsi, Leila; Kushan, Leila; John, John P; Joshi, Himanshu; Thomopoulos, Sophia I; Lawrence, Katherine E; Nir, Talia M; Jahanshad, Neda; Bearden, Carrie E; Kia, Seyed Mostafa; Marquand, Andre F; Thompson, Paul M; Alzheimer’s Disease Neuroimaging Initiative	October 4, 2025	Not Determined
41256533	Create Study	Lifespan Trajectories of Asymmetry in White Matter Tracts.	bioRxiv : the preprint server for biology	Kanakaraj, Praitayini; Bogdanov, Sam; Kim, Michael E; Samir, Jessica; Gao, Chenyu; Ramadass, Karthik; Rudravaram, Gaurav; Newlin, Nancy R; Archer, Derek; Hohman, Timothy J; Jefferson, Angela L; Morgan, Victoria L; Roche, Alexandra; Englot, Dario J; Resnick, Susan M; Held, Lori L Beason; Cutting, Laurie; Barquero, Laura A; D'Archangel, Micah A; Nguyen, Tin Q; Humphreys, Kathryn L; Niu, Yanbin; Vinci-Booher, Sophia; Cascio, Carissa J; HABS-HD Study Team; Alzheimer’s Disease Neuroimaging Initiative; BIOCARD Study Team; Li, Zhiyuan; Vandekar, Simon N; Zhang, Panpan; Gore, John C; Forkel, Stephanie J; Landman, Bennett A; Schilling, Kurt G	September 29, 2025	Not Determined
40654938	Create Study	White matter microstructure and macrostructure brain charts across the human lifespan.	bioRxiv : the preprint server for biology	Kim, Michael E; Gao, Chenyu; Ramadass, Karthik; Newlin, Nancy R; Kanakaraj, Praitayini; Bogdanov, Sam; Rudravaram, Gaurav; Archer, Derek; Hohman, Timothy J; Jefferson, Angela L; Morgan, Victoria L; Roche, Alexandra; Englot, Dario J; Resnick, Susan M; Beason Held, Lori L; Cutting, Laurie; Barquero, Laura A; D'archangel, Micah A; Nguyen, Tin Q; Humphreys, Kathryn L; Niu, Yanbin; Vinci-Booher, Sophia; Cascio, Carissa J; HABS-HD Study Team; Alzheimer’s Disease Neuroimaging Initiative; BIOCARD Study Team; Li, Zhiyuan; Vandekar, Simon N; Zhang, Panpan; Gore, John C; Landman, Bennett A; Schilling, Kurt G	May 9, 2025	Not Determined
40328780	Create Study	Lifespan reference curves for harmonizing multi-site regional brain white matter metrics from diffusion MRI.	Scientific data	Zhu, Alyssa H; Nir, Talia M; Javid, Shayan; Villalón-Reina, Julio E; Rodrigue, Amanda L; Strike, Lachlan T; de Zubicaray, Greig I; McMahon, Katie L; Wright, Margaret J; Medland, Sarah E; Blangero, John; Glahn, David C; Kochunov, Peter; Williamson, Douglas E; Håberg, Asta K; Thompson, Paul M; Jahanshad, Neda	May 6, 2025	Not Determined
39935269	Create Study	Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross-Sectional Datasets Across the Lifespan.	Human brain mapping	Schilling, Kurt G; Ramadass, Karthik; Sairanen, Viljami; Kim, Michael E; Rheault, Francois; Newlin, Nancy; Nguyen, Tin; Barquero, Laura; D'archangel, Micah; Gao, Chenyu; Topolnjak, Ema; Khairi, Nazirah Mohd; Archer, Derek; Beason-Held, Lori L; Resnick, Susan M; Hohman, Timothy; Cutting, Laurie; Schneider, Julie; Barnes, Lisa L; Bennett, David A; Arfanakis, Konstantinos; Vinci-Booher, Sophia; Albert, Marilyn; BIOCARD Study Team; Alzheimer's Disease Neuroimaging Initiative (ADNI); Aging Brain: Vasculature, Ischemia, and Behavior (ABVIB); Moyer, Daniel; Landman, Bennett A	February 15, 2025	Not Determined
39713232	Create Study	Segmental MRI pituitary and hypothalamus volumes post Fontan: An analysis of the Australian and New Zealand Fontan registry.	International journal of cardiology. Congenital heart disease	Gee, Waverley; Yang, Joseph Yuan-Mou; Gentles, Tom; Bastin, Sonja; Iyengar, Ajay J; Chen, Jian; Han, Dug Yeo; Cordina, Rachael; Verrall, Charlotte; Jefferies, Craig; Australian and New Zealand Fontan Registry	December 1, 2024	Not Determined
38463962	Create Study	Lifespan reference curves for harmonizing multi-site regional brain white matter metrics from diffusion MRI.	bioRxiv : the preprint server for biology	Zhu, Alyssa H; Nir, Talia M; Javid, Shayan; Villalon-Reina, Julio E; Rodrigue, Amanda L; Strike, Lachlan T; de Zubicaray, Greig I; McMahon, Katie L; Wright, Margaret J; Medland, Sarah E; Blangero, John; Glahn, David C; Kochunov, Peter; Håberg, Asta K; Thompson, Paul M; Jahanshad, Neda; Alzheimer’s Disease Neuroimaging Initiative	March 1, 2024	Not Determined
38395541	Create Study	Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation.	The Lancet. Digital health	Ge, Ruiyang; Yu, Yuetong; Qi, Yi Xuan; Fan, Yu-Nan; Chen, Shiyu; Gao, Chuntong; Haas, Shalaila S; New, Faye; Boomsma, Dorret I; Brodaty, Henry; Brouwer, Rachel M; Buckner, Randy; Caseras, Xavier; Crivello, Fabrice; Crone, Eveline A; Erk, Susanne; Fisher, Simon E; Franke, Barbara; Glahn, David C; Dannlowski, Udo; Grotegerd, Dominik; Gruber, Oliver; Hulshoff Pol, Hilleke E; Schumann, Gunter; Tamnes, Christian K; Walter, Henrik; Wierenga, Lara M; Jahanshad, Neda; Thompson, Paul M; Frangou, Sophia; ENIGMA Lifespan Working Group	March 1, 2024	Not Determined
38076938	Create Study	Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization.	bioRxiv : the preprint server for biology	Ge, Ruiyang; Yu, Yuetong; Qi, Yi Xuan; Fan, Yunan Vera; Chen, Shiyu; Gao, Chuntong; Haas, Shalaila S; Modabbernia, Amirhossein; New, Faye; Agartz, Ingrid; Asherson, Philip; Ayesa-Arriola, Rosa; Banaj, Nerisa; Banaschewski, Tobias; Baumeister, Sarah; Bertolino, Alessandro; Boomsma, Dorret I; Borgwardt, Stefan; Bourque, Josiane; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M; Buckner, Randy; Buitelaar, Jan K; Cannon, Dara M; Caseras, Xavier; Cervenka, Simon; Conrod, Patricia J; Crespo-Facorro, Benedicto; Crivello, Fabrice; Crone, Eveline A; de Haan, Liewe; de Zubicaray, Greig I; Di Giorgio, Annabella; Erk, Susanne; Fisher, Simon E; Franke, Barbara; Frodl, Thomas; Glahn, David C; Grotegerd, Dominik; Gruber, Oliver; Gruner, Patricia; Gur, Raquel E; Gur, Ruben C; Harrison, Ben J; Hatton, Sean N; Hickie, Ian; Howells, Fleur M; Hulshoff Pol, Hilleke E; Huyser, Chaim; Jernigan, Terry L; Jiang, Jiyang; Joska, John A; Kahn, René S; Kalnin, Andrew J; Kochan, Nicole A; Koops, Sanne; Kuntsi, Jonna; Lagopoulos, Jim; Lazaro, Luisa; Lebedeva, Irina S; Lochner, Christine; Martin, Nicholas G; Mazoyer, Bernard; McDonald, Brenna C; McDonald, Colm; McMahon, Katie L; Nakao, Tomohiro; Nyberg, Lars; Piras, Fabrizio; Portella, Maria J; Qiu, Jiang; Roffman, Joshua L; Sachdev, Perminder S; Sanford, Nicole; Satterthwaite, Theodore D; Saykin, Andrew J; Schumann, Gunter; Sellgren, Carl M; Sim, Kang; Smoller, Jordan W; Soares, Jair; Sommer, Iris E; Spalletta, Gianfranco; Stein, Dan J; Tamnes, Christian K; Thomopolous, Sophia I; Tomyshev, Alexander S; Tordesillas-Gutiérrez, Diana; Trollor, Julian N; van 't Ent, Dennis; van den Heuvel, Odile A; van Erp, Theo Gm; van Haren, Neeltje Em; Vecchio, Daniela; Veltman, Dick J; Walter, Henrik; Wang, Yang; Weber, Bernd; Wei, Dongtao; Wen, Wei; Westlye, Lars T; Wierenga, Lara M; Williams, Steven Cr; Wright, Margaret J; Medland, Sarah; Wu, Mon-Ju; Yu, Kevin; Jahanshad, Neda; Thompson, Paul M; Frangou, Sophia	December 2, 2023	Not Determined
37858734	Create Study	Polygenic risk for depression and anterior and posterior hippocampal volume in children and adolescents.	Journal of affective disorders	Hurtado, Hailee; Hansen, Melissa; Strack, Jordan; Vainik, Uku; Decker, Alexandra L; Khundrakpam, Budhachandra; Duncan, Katherine; Finn, Amy S; Mabbott, Donald J; Merz, Emily C	January 1, 2024	Not Determined
37661008	Create Study	Beyond the Global Brain Differences: Intraindividual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers.	Biological psychiatry	Boen, Rune; Kaufmann, Tobias; van der Meer, Dennis; Frei, Oleksandr; Agartz, Ingrid; Ames, David; Andersson, Micael; Armstrong, Nicola J; Artiges, Eric; Atkins, Joshua R; Bauer, Jochen; Benedetti, Francesco; Boomsma, Dorret I; Brodaty, Henry; Brosch, Katharina; Buckner, Randy L; Cairns, Murray J; Calhoun, Vince; Caspers, Svenja; Cichon, Sven; Corvin, Aiden P; Crespo-Facorro, Benedicto; Dannlowski, Udo; David, Friederike S; de Geus, Eco J C; de Zubicaray, Greig I; Desrivières, Sylvane; Doherty, Joanne L; Donohoe, Gary; Ehrlich, Stefan; Eising, Else; Espeseth, Thomas; Fisher, Simon E; Forstner, Andreas J; Fortaner-Uyà, Lidia; Frouin, Vincent; Fukunaga, Masaki; Ge, Tian; Glahn, David C; Goltermann, Janik; Grabe, Hans J; Green, Melissa J; Groenewold, Nynke A; Grotegerd, Dominik; Grøntvedt, Gøril Rolfseng; Hahn, Tim; Hashimoto, Ryota; Hehir-Kwa, Jayne Y; Henskens, Frans A; Holmes, Avram J; Håberg, Asta K; Haavik, Jan; Jacquemont, Sebastien; Jansen, Andreas; Jockwitz, Christiane; Jönsson, Erik G; Kikuchi, Masataka; Kircher, Tilo; Kumar, Kuldeep; Le Hellard, Stephanie; Leu, Costin; Linden, David E; Liu, Jingyu; Loughnan, Robert; Mather, Karen A; McMahon, Katie L; McRae, Allan F; Medland, Sarah E; Meinert, Susanne; Moreau, Clara A; Morris, Derek W; Mowry, Bryan J; Mühleisen, Thomas W; Nenadić, Igor; Nöthen, Markus M; Nyberg, Lars; Ophoff, Roel A; Owen, Michael J; Pantelis, Christos; Paolini, Marco; Paus, Tomas; Pausova, Zdenka; Persson, Karin; Quidé, Yann; Marques, Tiago Reis; Sachdev, Perminder S; Sando, Sigrid B; Schall, Ulrich; Scott, Rodney J; Selbæk, Geir; Shumskaya, Elena; Silva, Ana I; Sisodiya, Sanjay M; Stein, Frederike; Stein, Dan J; Straube, Benjamin; Streit, Fabian; Strike, Lachlan T; Teumer, Alexander; Teutenberg, Lea; Thalamuthu, Anbupalam; Tooney, Paul A; Tordesillas-Gutierrez, Diana; Trollor, Julian N; van 't Ent, Dennis; van den Bree, Marianne B M; van Haren, Neeltje E M; Vázquez-Bourgon, Javier; Völzke, Henry; Wen, Wei; Wittfeld, Katharina; Ching, Christopher R K; Westlye, Lars T; Thompson, Paul M; Bearden, Carrie E; Selmer, Kaja K; Alnæs, Dag; Andreassen, Ole A; Sønderby, Ida E; ENIGMA-CNV Working Group	January 15, 2024	Not Determined
36446759	Create Study	Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities.	Translational psychiatry	Price, Kaitlyn M; Wigg, Karen G; Eising, Else; Feng, Yu; Blokland, Kirsten; Wilkinson, Margaret; Kerr, Elizabeth N; Guger, Sharon L; Quantitative Trait Working Group of the GenLang Consortium; Fisher, Simon E; Lovett, Maureen W; Strug, Lisa J; Barr, Cathy L	November 29, 2022	Not Determined
35998220	Create Study	Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people.	Proceedings of the National Academy of Sciences of the United States of America	Eising, Else; Mirza-Schreiber, Nazanin; de Zeeuw, Eveline L; Wang, Carol A; Truong, Dongnhu T; Allegrini, Andrea G; Shapland, Chin Yang; Zhu, Gu; Wigg, Karen G; Gerritse, Margot L; Molz, Barbara; Alagöz, Gökberk; Gialluisi, Alessandro; Abbondanza, Filippo; Rimfeld, Kaili; van Donkelaar, Marjolein; Liao, Zhijie; Jansen, Philip R; Andlauer, Till F M; Bates, Timothy C; Bernard, Manon; Blokland, Kirsten; Bonte, Milene; Børglum, Anders D; Bourgeron, Thomas; Brandeis, Daniel; Ceroni, Fabiola; Csépe, Valéria; Dale, Philip S; de Jong, Peter F; DeFries, John C; Démonet, Jean-François; Demontis, Ditte; Feng, Yu; Gordon, Scott D; Guger, Sharon L; Hayiou-Thomas, Marianna E; Hernández-Cabrera, Juan A; Hottenga, Jouke-Jan; Hulme, Charles; Kere, Juha; Kerr, Elizabeth N; Koomar, Tanner; Landerl, Karin; Leonard, Gabriel T; Lovett, Maureen W; Lyytinen, Heikki; Martin, Nicholas G; Martinelli, Angela; Maurer, Urs; Michaelson, Jacob J; Moll, Kristina; Monaco, Anthony P; Morgan, Angela T; Nöthen, Markus M; Pausova, Zdenka; Pennell, Craig E; Pennington, Bruce F; Price, Kaitlyn M; Rajagopal, Veera M; Ramus, Franck; Richer, Louis; Simpson, Nuala H; Smith, Shelley D; Snowling, Margaret J; Stein, John; Strug, Lisa J; Talcott, Joel B; Tiemeier, Henning; van der Schroeff, Marc P; Verhoef, Ellen; Watkins, Kate E; Wilkinson, Margaret; Wright, Margaret J; Barr, Cathy L; Boomsma, Dorret I; Carreiras, Manuel; Franken, Marie-Christine J; Gruen, Jeffrey R; Luciano, Michelle; Müller-Myhsok, Bertram; Newbury, Dianne F; Olson, Richard K; Paracchini, Silvia; Paus, Tomáš; Plomin, Robert; Reilly, Sheena; Schulte-Körne, Gerd; Tomblin, J Bruce; van Bergen, Elsje; Whitehouse, Andrew J O; Willcutt, Erik G; St Pourcain, Beate; Francks, Clyde; Fisher, Simon E	August 30, 2022	Not Determined
35894163	Create Study	Educational attainment polygenic scores, socioeconomic factors, and cortical structure in children and adolescents.	Human brain mapping	Merz, Emily C; Strack, Jordan; Hurtado, Hailee; Vainik, Uku; Thomas, Michael; Evans, Alan; Khundrakpam, Budhachandra	November 1, 2022	Not Determined
35816931	Create Study	Parental socioeconomic status is linked to cortical microstructure and language abilities in children and adolescents.	Developmental cognitive neuroscience	Norbom, Linn B; Hanson, Jamie; van der Meer, Dennis; Ferschmann, Lia; Røysamb, Espen; von Soest, Tilmann; Andreassen, Ole A; Agartz, Ingrid; Westlye, Lars T; Tamnes, Christian K	August 1, 2022	Not Determined
35809969	Create Study	Diffusion tensor estimation with transformer neural networks.	Artificial intelligence in medicine	Karimi, Davood; Gholipour, Ali	August 1, 2022	Not Determined
35237725	Create Study	Factors in the neurodevelopment of negative urgency: Findings from a community-dwelling sample.	Brain and neuroscience advances	Evans, Casey L; Sawyer, Kayle S; Levy, Sarah A; Conklin, Jessica P; McDonough, EmilyKate; Gansler, David A	January 1, 2022	Not Determined
35220023	Create Study	Do aggregate, multimodal structural neuroimaging measures replicate regional developmental differences observed in highly cited cellular histological studies?	Developmental cognitive neuroscience	Hagler Jr, Donald J; Thompson, Wesley K; Chen, Chi-Hua; Reuter, Chase; Akshoomoff, Natacha; Brown, Timothy T; Pediatric Imaging, Neurocognition, and Genetics Study	April 1, 2022	Not Determined
35027165	Create Study	Mapping Complex Brain Torque Components and Their Genetic Architecture and Phenomic Associations in 24,112 Individuals.	Biological psychiatry	Zhao, Lu; Matloff, William; Shi, Yonggang; Cabeen, Ryan P; Toga, Arthur W	April 15, 2022	Not Determined
34140357	Create Study	Common genetic variation influencing human white matter microstructure.	Science (New York, N.Y.)	Zhao, Bingxin; Li, Tengfei; Yang, Yue; Wang, Xifeng; Luo, Tianyou; Shan, Yue; Zhu, Ziliang; Xiong, Di; Hauberg, Mads E; Bendl, Jaroslav; Fullard, John F; Roussos, Panagiotis; Li, Yun; Stein, Jason L; Zhu, Hongtu	June 18, 2021	Not Determined
34001886	Create Study	Transcriptome-wide association analysis of brain structures yields insights into pleiotropy with complex neuropsychiatric traits.	Nature communications	Zhao, Bingxin; Shan, Yue; Yang, Yue; Yu, Zhaolong; Li, Tengfei; Wang, Xifeng; Luo, Tianyou; Zhu, Ziliang; Sullivan, Patrick; Zhao, Hongyu; Li, Yun; Zhu, Hongtu	May 17, 2021	Not Determined
33595143	Create Study	Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years.	Human brain mapping	Frangou, Sophia; Modabbernia, Amirhossein; Williams, Steven C R; Papachristou, Efstathios; Doucet, Gaelle E; Agartz, Ingrid; Aghajani, Moji; Akudjedu, Theophilus N; Albajes-Eizagirre, Anton; Alnaes, Dag; Alpert, Kathryn I; Andersson, Micael; Andreasen, Nancy C; Andreassen, Ole A; Asherson, Philip; Banaschewski, Tobias; Bargallo, Nuria; Baumeister, Sarah; Baur-Streubel, Ramona; Bertolino, Alessandro; Bonvino, Aurora; Boomsma, Dorret I; Borgwardt, Stefan; Bourque, Josiane; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M; Buitelaar, Jan K; Busatto, Geraldo F; Buckner, Randy L; Calhoun, Vincent; Canales-Rodríguez, Erick J; Cannon, Dara M; Caseras, Xavier; Castellanos, Francisco X; Cervenka, Simon; Chaim-Avancini, Tiffany M; Ching, Christopher R K; Chubar, Victoria; Clark, Vincent P; Conrod, Patricia; Conzelmann, Annette; Crespo-Facorro, Benedicto; Crivello, Fabrice; Crone, Eveline A; Dale, Anders M; Dannlowski, Udo; Davey, Christopher; de Geus, Eco J C; de Haan, Lieuwe; de Zubicaray, Greig I; den Braber, Anouk; Dickie, Erin W; Di Giorgio, Annabella; Doan, Nhat Trung; Dørum, Erlend S; Ehrlich, Stefan; Erk, Susanne; Espeseth, Thomas; Fatouros-Bergman, Helena; Fisher, Simon E; Fouche, Jean-Paul; Franke, Barbara; Frodl, Thomas; Fuentes-Claramonte, Paola; Glahn, David C; Gotlib, Ian H; Grabe, Hans-Jörgen; Grimm, Oliver; Groenewold, Nynke A; Grotegerd, Dominik; Gruber, Oliver; Gruner, Patricia; Gur, Rachel E; Gur, Ruben C; Hahn, Tim; Harrison, Ben J; Hartman, Catharine A; Hatton, Sean N; Heinz, Andreas; Heslenfeld, Dirk J; Hibar, Derrek P; Hickie, Ian B; Ho, Beng-Choon; Hoekstra, Pieter J; Hohmann, Sarah; Holmes, Avram J; Hoogman, Martine; Hosten, Norbert; Howells, Fleur M; Hulshoff Pol, Hilleke E; Huyser, Chaim; Jahanshad, Neda; James, Anthony; Jernigan, Terry L; Jiang, Jiyang; Jönsson, Erik G; Joska, John A; Kahn, Rene; Kalnin, Andrew; Kanai, Ryota; Klein, Marieke; Klyushnik, Tatyana P; Koenders, Laura; Koops, Sanne; Krämer, Bernd; Kuntsi, Jonna; Lagopoulos, Jim; Lázaro, Luisa; Lebedeva, Irina; Lee, Won Hee; Lesch, Klaus-Peter; Lochner, Christine; Machielsen, Marise W J; Maingault, Sophie; Martin, Nicholas G; Martínez-Zalacaín, Ignacio; Mataix-Cols, David; Mazoyer, Bernard; McDonald, Colm; McDonald, Brenna C; McIntosh, Andrew M; McMahon, Katie L; McPhilemy, Genevieve; Meinert, Susanne; Menchón, José M; Medland, Sarah E; Meyer-Lindenberg, Andreas; Naaijen, Jilly; Najt, Pablo; Nakao, Tomohiro; Nordvik, Jan E; Nyberg, Lars; Oosterlaan, Jaap; de la Foz, Víctor Ortiz-García; Paloyelis, Yannis; Pauli, Paul; Pergola, Giulio; Pomarol-Clotet, Edith; Portella, Maria J; Potkin, Steven G; Radua, Joaquim; Reif, Andreas; Rinker, Daniel A; Roffman, Joshua L; Rosa, Pedro G P; Sacchet, Matthew D; Sachdev, Perminder S; Salvador, Raymond; Sánchez-Juan, Pascual; Sarró, Salvador; Satterthwaite, Theodore D; Saykin, Andrew J; Serpa, Mauricio H; Schmaal, Lianne; Schnell, Knut; Schumann, Gunter; Sim, Kang; Smoller, Jordan W; Sommer, Iris; Soriano-Mas, Carles; Stein, Dan J; Strike, Lachlan T; Swagerman, Suzanne C; Tamnes, Christian K; Temmingh, Henk S; Thomopoulos, Sophia I; Tomyshev, Alexander S; Tordesillas-Gutiérrez, Diana; Trollor, Julian N; Turner, Jessica A; Uhlmann, Anne; van den Heuvel, Odile A; van den Meer, Dennis; van der Wee, Nic J A; van Haren, Neeltje E M; van 't Ent, Dennis; van Erp, Theo G M; Veer, Ilya M; Veltman, Dick J; Voineskos, Aristotle; Völzke, Henry; Walter, Henrik; Walton, Esther; Wang, Lei; Wang, Yang; Wassink, Thomas H; Weber, Bernd; Wen, Wei; West, John D; Westlye, Lars T; Whalley, Heather; Wierenga, Lara M; Wittfeld, Kat (see original citation for additional authors)	January 1, 2022	Not Determined
33570244	Create Study	Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years.	Human brain mapping	Dima, Danai; Modabbernia, Amirhossein; Papachristou, Efstathios; Doucet, Gaelle E; Agartz, Ingrid; Aghajani, Moji; Akudjedu, Theophilus N; Albajes-Eizagirre, Anton; Alnaes, Dag; Alpert, Kathryn I; Andersson, Micael; Andreasen, Nancy C; Andreassen, Ole A; Asherson, Philip; Banaschewski, Tobias; Bargallo, Nuria; Baumeister, Sarah; Baur-Streubel, Ramona; Bertolino, Alessandro; Bonvino, Aurora; Boomsma, Dorret I; Borgwardt, Stefan; Bourque, Josiane; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M; Buitelaar, Jan K; Busatto, Geraldo F; Buckner, Randy L; Calhoun, Vincent; Canales-Rodríguez, Erick J; Cannon, Dara M; Caseras, Xavier; Castellanos, Francisco X; Cervenka, Simon; Chaim-Avancini, Tiffany M; Ching, Christopher R K; Chubar, Victoria; Clark, Vincent P; Conrod, Patricia; Conzelmann, Annette; Crespo-Facorro, Benedicto; Crivello, Fabrice; Crone, Eveline A; Dannlowski, Udo; Dale, Anders M; Davey, Christopher; de Geus, Eco J C; de Haan, Lieuwe; de Zubicaray, Greig I; den Braber, Anouk; Dickie, Erin W; Di Giorgio, Annabella; Doan, Nhat Trung; Dørum, Erlend S; Ehrlich, Stefan; Erk, Susanne; Espeseth, Thomas; Fatouros-Bergman, Helena; Fisher, Simon E; Fouche, Jean-Paul; Franke, Barbara; Frodl, Thomas; Fuentes-Claramonte, Paola; Glahn, David C; Gotlib, Ian H; Grabe, Hans-Jörgen; Grimm, Oliver; Groenewold, Nynke A; Grotegerd, Dominik; Gruber, Oliver; Gruner, Patricia; Gur, Rachel E; Gur, Ruben C; Hahn, Tim; Harrison, Ben J; Hartman, Catharine A; Hatton, Sean N; Heinz, Andreas; Heslenfeld, Dirk J; Hibar, Derrek P; Hickie, Ian B; Ho, Beng-Choon; Hoekstra, Pieter J; Hohmann, Sarah; Holmes, Avram J; Hoogman, Martine; Hosten, Norbert; Howells, Fleur M; Hulshoff Pol, Hilleke E; Huyser, Chaim; Jahanshad, Neda; James, Anthony; Jernigan, Terry L; Jiang, Jiyang; Jönsson, Erik G; Joska, John A; Kahn, Rene; Kalnin, Andrew; Kanai, Ryota; Klein, Marieke; Klyushnik, Tatyana P; Koenders, Laura; Koops, Sanne; Krämer, Bernd; Kuntsi, Jonna; Lagopoulos, Jim; Lázaro, Luisa; Lebedeva, Irina; Lee, Won Hee; Lesch, Klaus-Peter; Lochner, Christine; Machielsen, Marise W J; Maingault, Sophie; Martin, Nicholas G; Martínez-Zalacaín, Ignacio; Mataix-Cols, David; Mazoyer, Bernard; McDonald, Colm; McDonald, Brenna C; McIntosh, Andrew M; McMahon, Katie L; McPhilemy, Genevieve; Meinert, Susanne; Menchón, José M; Medland, Sarah E; Meyer-Lindenberg, Andreas; Naaijen, Jilly; Najt, Pablo; Nakao, Tomohiro; Nordvik, Jan E; Nyberg, Lars; Oosterlaan, Jaap; de la Foz, Víctor Ortiz-García; Paloyelis, Yannis; Pauli, Paul; Pergola, Giulio; Pomarol-Clotet, Edith; Portella, Maria J; Potkin, Steven G; Radua, Joaquim; Reif, Andreas; Rinker, Daniel A; Roffman, Joshua L; Rosa, Pedro G P; Sacchet, Matthew D; Sachdev, Perminder S; Salvador, Raymond; Sánchez-Juan, Pascual; Sarró, Salvador; Satterthwaite, Theodore D; Saykin, Andrew J; Serpa, Mauricio H; Schmaal, Lianne; Schnell, Knut; Schumann, Gunter; Sim, Kang; Smoller, Jordan W; Sommer, Iris; Soriano-Mas, Carles; Stein, Dan J; Strike, Lachlan T; Swagerman, Suzanne C; Tamnes, Christian K; Temmingh, Henk S; Thomopoulos, Sophia I; Tomyshev, Alexander S; Tordesillas-Gutiérrez, Diana; Trollor, Julian N; Turner, Jessica A; Uhlmann, Anne; van den Heuvel, Odile A; van den Meer, Dennis; van der Wee, Nic J A; van Haren, Neeltje E M; Van't Ent, Dennis; van Erp, Theo G M; Veer, Ilya M; Veltman, Dick J; Voineskos, Aristotle; Völzke, Henry; Walter, Henrik; Walton, Esther; Wang, Lei; Wang, Yang; Wassink, Thomas H; Weber, Bernd; Wen, Wei; West, John D; Westlye, Lars T; Whalley, Heather; Wierenga, Lara M; Williams, Steven C R; Wittfeld, Katharin (see original citation for additional authors)	January 1, 2022	Not Determined
33231097	Create Study	Neurocognitive Dysfunction and Smaller Brain Volumes in Adolescents and Adults With a Fontan Circulation.	Circulation	Verrall, Charlotte E; Yang, Joseph Y M; Chen, Jian; Schembri, Adrian; d'Udekem, Yves; Zannino, Diana; Kasparian, Nadine A; du Plessis, Karin; Grieve, Stuart M; Welton, Thomas; Barton, Belinda; Gentles, Thomas L; Celermajer, David S; Attard, Chantal; Rice, Kathryn; Ayer, Julian; Mandelstam, Simone; Winlaw, David S; Mackay, Mark T; Cordina, Rachael	March 2, 2021	Not Determined

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Collection - Publications

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

Study NameFilter by Study Name	DOIFilter by DOI	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
Lifespan development of brain asymmetry	10.15154/3er3-dc69	Lateralization is a fundamental principle of structural brain organization. In vivo imaging of brain asymmetry is essential for deciphering lateralized brain functions and their disruption in neurodevelopmental and neurodegenerative disorders. Here, we present a normative framework for benchmarking brain asymmetry across the lifespan, developed from an aggregated sample of 128 primary neuroimaging studies, including 177,701 scans from 138,231 individuals, jointly spanning the age range from 20 post menstrual weeks to 102 years. This resource includes comprehensive, hemisphere-specific brain growth charts for multiple neuroimaging phenotypes: regional cortical grey matter volume, thickness, surface area, and subcortical volumes. Our findings reveal distinct spatial patterns of asymmetry, with early leftward asymmetry observed in association cortices and late rightward asymmetry in sensory regions. These trajectories support theories of the neuroplasticity of asymmetry and the role of both genetic and environmental factors in shaping brain lateralization. Additionally, we provide tools to generate asymmetry centile scores, which allow the quantification of individual deviations from typical asymmetry throughout the lifespan and can be applied to unseen data or clinical populations. We demonstrate the utility of these models by highlighting group-level differences in asymmetry in autism spectrum disorder, schizophrenia, and Alzheimer’s disease, and exploring genetic correlations with hemispheric specialization. To facilitate further research, we have made this normative framework freely available as an interactive open-access resource (upon publication), offering an essential tool to advance both basic and clinical neuroscience.	763/8552	Secondary Analysis	Shared
ComBatLS: A location- and scale-preserving method for multi-site image harmonization	10.15154/sr0j-g796	Recent work has leveraged massive datasets and advanced harmonization methods to construct normative models of neuroanatomical features and benchmark individuals’ morphology. However, current harmonization tools do not preserve the effects of biological covariates including sex and age on features’ variances; this failure may induce error in normative scores, particularly when such factors are distributed unequally across sites. Here, we introduce a new extension of the popular ComBat harmonization method, ComBatLS, that preserves biological variance in features’ locations and scales. We use UK Biobank data to show that ComBatLS robustly replicates individuals’ normative scores better than other ComBat methods when subjects are assigned to sex-imbalanced synthetic “sites”. Additionally, we demonstrate that ComBatLS significantly reduces sex biases in normative scores compared to traditional methods. Finally, we show that ComBatLS successfully harmonizes consortium data collected across over 50 studies. R implementation of ComBatLS is available at https://github.com/andy1764/ComBatFamily.	1473/6514	Secondary Analysis	Shared
A foundation model for generalized brain MRI analysis	10.15154/fr0e-n904	Artificial intelligence (AI) applied to brain magnetic resonance imaging (MRI) has the potential to improve disease diagnosis and management but requires algorithms with generalizable knowledge that can perform well in a variety of clinical scenarios. The field has been constrained, thus far, by limited training data and task-specific models that do not generalize well across patient populations and medical tasks. Foundation models, by leveraging self-supervised learning, pretraining, and targeted adaptation, present a promising paradigm to overcome these limitations. Here, we present Brain Imaging Adaptive Core (BrainIAC), a novel foundation model designed to learn generalized representations from unlabeled brain MRI data and serve as a core basis for diverse downstream application adaptation. Trained and validated on 48,519 brain MRIs across a broad spectrum of tasks, we demonstrate that BrainIAC outperforms localized supervised training and other pretrained models, particularly in low-data settings and high-difficulty tasks, allowing for application in scenarios otherwise infeasible. BrainIAC can be integrated into imaging pipelines and multimodal frameworks and may lead to improved biomarker discovery and AI clinical translation.	763/2079	Secondary Analysis	Shared
Postnatal interaction of size and shape in the human endocranium and brain structures	10.15154/vwwz-mt68	The uniqueness of human brain growth and development has been considered promising for its contribution to understanding the origins of the unique human cognitive abilities. Compared with that of chimpanzees, the human endocranium undergoes several characteristic shape changes immediately after birth, which has been termed “endocranial globularization.” However, how the brain structures and surrounding neurocranium interact with each other during early development in the context of brain–neurocranium integration remains to be investigated. We investigated shape and size changes in the human brain and endocranium during postnatal development using magnetic resonance imaging and analyzed spatial constraints and interactions among subdivisions of the brain influencing endocranial morphology. Our results suggest that during postnatal development, the relative size changes of supratentorial and infratentorial regions and the cranial base largely constrain brain and endocranial shape. Specifically, a disproportionate increase in the size of the infratentorial region (i.e., cerebellum plus brainstem) relative to the cranial base affects the infratentorial spatial packing constraint in neonates, causing inferoposterior expansion of the posterior cranial fossa and coronal reorientation of the petrous pyramid of the temporal bone without flattening the angle between the two sides of the tentorium cerebelli. The dramatic size increase of the infratentorial region relative to the cranial base immediately after birth is inferred to be characteristic of human development and should be compared with non-human primates and potentially applied to fossil cranial series to obtain more evolutionary insight into human cognitive ability.	1494/2050	Secondary Analysis	Shared
Identifying genetic risk variants associated with brain volumetric phenotypes via K-sample Ball Divergence method	10.15154/1522300	Regional human brain volumes including total area, average thickness, and total volume are heritable and associated with neurological disorders. However, the genetic architecture of brain structure and function is still largely unknown and worthy of exploring. The Pediatric Imaging, Neurocognition, and Genetics (PING) dataset provides an excellent resource with genome-wide genetic data and the related neuroimaging data. In this study, we perform genome-wide association studies (GWAS) of 315 brain volumetric phenotypes from the PING dataset including 1,036 samples with 539,865 single-nucleotide polymorphisms (SNPs). We introduce a nonparametric test based on K-sample Ball Divergence (KBD) to identify genetic risk variants that influence regional brain volumes. We carry out simulations to demonstrate that KBD is a powerful test for identifying significant SNPs associated with multivariate phenotypes while controlling the type I error rate. We successfully identify 9 SNPs below a significance level of 〖5*10〗^(-6) for the PING data. Among the nine identified genetic variants, two SNPs rs486179 and rs562110 are located in the ADRA1A gene that is a well-known risk factor of mental illness, such as schizophrenia and attention deficit hyperactivity disorder (ADHD). Our study suggests that the nonparametric test KBD is an effective method for identifying genetic variants associated with complex diseases in large-scale GWAS of multiple phenotypes.	1494/1494	Secondary Analysis	Shared
PING Genomics Derived Data	10.15154/1376898	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 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.	1493/1493	Primary Analysis	Shared
No signals of outbreeding depression on general factors of self-efficacy, phobia, and infant growth: Debunking “disharmonious combination” theory	10.15154/33yr-1n60	The effect of a novel index of ancestral genetic diversity on the levels of three latent variables (Self-efficacy, General Phobia, and General Growth factors) is examined using a large pediatric imaging sample to test for the presence of outbreeding depression (i.e., worse outcomes among individuals in proportion to their degree of ancestral diversity). No evidence is found for this effect on any of the three latent variables, controlled for age, household income, parental education, and sex, and the main effects of a set of five molecular-genetic ancestry measures. Historically, claims that “wide racial crosses” would cause “disharmonious combinations” of traits in offspring, leading to physical and psychological abnormalities enjoyed wide support among eugenicists, prior to the Second World War. Such theories were rooted in Mendelian inheritance models. Our results are consistent with the finding that most traits are associated with additive genetic effects. Claims of severe outbreeding depression on physical and mental health historically were used to support racist policies (e.g., anti-miscegenation laws), and our results can be said to fundamentally challenge the foundations of these claims.	1420/1420	Secondary Analysis	Shared
Diffusion-weighted derivatives of PING	10.15154/1519178	Diffusion-weighted magnetic resonance imaging (dMRI) allows for the in-vivo assessment of anatomical white matter in the brain, thus allowing the depiction of structural connectivity. Using structural processing techniques and related methods, a growing body of literature has illustrated that connectomics is a crucial aspect to assessing the brain in health and disease. The Pediatric Imaging Neurocognition and Genetics (PING) dataset was collected and released openly to contribute to the assessment of typical brain development in a pediatric sample. This current work details the processing of diffusion-weighted images from the PING dataset, including rigorous quality assessment and fine-tuning of parameters at every step, to increase the accessibility of these data for connectomic analysis. This processing provides state-of-the-art diffusion measures, both classical diffusion tensor imaging (DTI) and more advanced HARDI-based metrics, enabling the evaluation not only of structural white matter but also of integrated multimodal analyses, i.e. combining structural information from dMRI with functional or gray matter analyses.	809/809	Secondary Analysis	Shared
Decoding individual variation of brain age estimates in typical development	10.15154/1519026	Decoding individual variation of brain age estimates in typical development	768/768	Secondary Analysis	Shared
Cortical remodelling in childhood is associated with genes enriched for neurodevelopmental disorders	10.15154/1504093	Cortical 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.	754/754	Secondary Analysis	Shared
PING study derived data	10.15154/1519020	Children from lower income backgrounds tend to have poorer memory and language abilities than their wealthier peers. It has been proposed that these cognitive gaps reflect effects of income-related stress on hippocampal structure, but the empirical evidence for this relationship has not been clear. Here, we examine how family income gaps in cognition relate to the anterior hippocampus, given its high sensitivity to stress, versus the posterior hippocampus. We find that anterior (but not posterior) hippocampal volumes positively correlate with family income up to an annual income of ~$75,000. Income-related differences in the anterior (but not posterior) hippocampus also predicted the strength of the gaps in memory and language. These findings add anatomical specificity to current theories by suggesting a stronger relationship between family income and anterior than posterior hippocampal volumes and offer a potential mechanism through which lower income differ cognitively.	703/703	Primary Analysis	Shared
Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence	10.15154/1503353	The 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.	456/456	Secondary Analysis	Shared
A human craniofacial life-course: cross-sectional morphological covariations during postnatal growth, adolescence, and aging	10.15154/1520729	Covariations between anatomical structures are fundamental to craniofacial ontogeny, maturation and aging and yet are rarely studied in such a cognate fashion. Here we offer a comprehensive investigation of the human craniofacial complex using freely available software and MRI datasets representing 575 individuals from 0 to 79 years old. We employ both standard craniometrics methods as well as Procrustes based analyses to capture and document cross-sectional trends. Findings suggest that anatomical structures behave primarily as modules, and manifest integrated patterns of shape change as they compete for space, particularly with relative expansions of the brain during early postnatal life and of the face during puberty. Sexual dimorphism was detected in infancy and intensified during adolescence with gender differences in the magnitude and pattern of morphological covariation as well as of aging. These findings partly support the spatial-packing hypothesis and reveal important insights into phenotypic adjustments to deep-rooted, and presumably genetically defined, trajectories of morphological size and shape change that characterise the normal human craniofacial life-course.	188/308	Secondary Analysis	Shared

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