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¹ Numbers reported are subjects by age

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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

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

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Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespan #3182

General
Experiments (0)
Shared Data
Publications (75)
Data Expected (3)
Associated Studies (1)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespan
Collection Investigators:	Ruben Gur
Collection Description:	Efforts to include behavioral measures in large-scale studies as envisioned by precision medicine are hampered by the time and expertise required. Paper-and-pencil tests currently dominating clinical assessment and neuropsychological testing are plainly unfeasible. The NIH Toolbox contains many computerized tests and clinical assessment tools varying in feasibility. Unique in the Toolbox is the Penn Computerized Neurocognitive Battery CNB, which contains 14 tests that take one hour to administer. CNB has been validated with functional neuroimaging and in multiple normative and clinical populations across the lifespan worldwide, and is freely available for research. Clinical assessment tools are usually devoted to specific disorders, and scales vary in their concentration on symptoms that are disorder specific. We have developed a broad assessment tool GOASSESS, which currently takes about one hour to administer. These instruments were constructed, optimized and validated with classical psychometric test theory CTT, and are efficient as CTT allows. However, genomic studies require even more time-efficient tools that can be applied massively. Novel approaches, based on item response theory IRT can vastly enhance efficiency of testing and clinical assessment. IRT shifts the emphasis from the test to the items composing it by estimating item parameters such as difficulty and discrimination within ranges of general trait levels. IRT helps shorten the length of administration without compromising data quality, and for many domains leads to computer adaptive testing CAT that further optimizes tests to individual abilities. We propose to develop and validate adaptive versions of the CNB and GOASSESS, resulting in a neurocognitive and clinical screener that, using machine learning tools, will be continually optimized, becoming shorter and more precise as it is deployed. The tool will be in the Toolbox available in the public domain. We have item-level information to perform IRT analyses on existing data and use this information to develop CAT implementations and generate item pools for adaptive testing. Our Specific Aims are 1. Use available itemwise data on the Penn CNB and the GOASSESS and add new tests and items to generate item pools for extending scope while abbreviating tests using IRT-CAT and other methods. The current item pool will be augmented to allow large selection of items during CAT administration and add clinical items to GOASSESS. New items will be calibrated through crowdsourcing. 2. Produce a modular CAT version of a neurocognitive and clinical assessment battery that covers major RDoC domains and a full range of psychiatric symptoms. We have implemented this procedure on some CNB tests and clinical scales and will apply similar procedures to remaining and new tests as appropriate. 3. Validate the CAT version in 100 individuals with psychosis spectrum disorders PS, 100 with depression anxiety disorders DA, and 100 healthy controls HC. We will use this dataset to implement and test data mining algorithms that optimize prediction of specific outcomes. All tests, algorithms and normative data will be in the toolbox.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	05/10/2019
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$2,885,832.00
Subjects Shared:	321
Collection DOI:	10.15154/3x8w-0340

{"values":[]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Title	Start Date	Original End Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
R01MH117014-01	Creating an adaptive screening tool for detecting neurocognitive deficits and psychopathology across the lifespan	05/01/2019	02/28/2023	02/29/2024	300	333	UNIVERSITY OF PENNSYLVANIA	$2,885,832.00

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.
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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.
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Blinded Clinical Trial Status:

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

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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.
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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.
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Collection Title

An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
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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.
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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.
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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.
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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.
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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.
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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.
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The total number of unique subjects for whom data have been shared and are available for users with permission to access data.

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ID	Name	Created Date	Status	Type
No records found.

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.

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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:
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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.

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Shared Data:

Title	Type	Number of Subjects
Research Subject	Clinical Assessments	321

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.
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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.

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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
42687979	Create Study	Preservation of Higher-Order Cognition in Autistic Females: Evidence from Two Deeply-Phenotyped Cohorts in Hong Kong and the United States.	Research square	Wong, Oscar Wh; Zhu, Sophia; Chow, Jonathan Wt; Barzilay, Ran; Moore, Tyler M; Ruparel, Kosha; Lam, Angela Mw; Adamska-Stolarczyk, Iga; Lau, Petrina Yp; Chan, Sandra Sm; Calkins, Monica E; Gur, Raquel E; Gur, Ruben C	August 25, 2026	Not Determined
42675135	Create Study	Anatomical white matter tracts span the cortical hierarchy to support cognitive diversity.	Nature human behaviour	Bagautdinova, Joëlle; Shafiei, Golia; Luo, Audrey C; Pecsok, Margaret K; Salo, Taylor; Alexander-Bloch, Aaron F; Bassett, Dani S; Gardner, Margaret E; Gur, Raquel E; Gur, Ruben C; Mackey, Allyson P; Meisler, Steven L; Misic, Bratislav; Moore, Tyler M; Roalf, David R; Shinohara, Russell T; Sydnor, Valerie J; Tong, Tien T; Yeh, Fang-Cheng; Poldrack, Russell A; Cieslak, Matthew; Satterthwaite, Theodore D	August 31, 2026	Not Determined
42374128	Create Study	Cannabis use and glutamate across the psychosis spectrum: in vivo evidence from 7T proton magnetic resonance spectroscopy.	Molecular psychiatry	Roalf, David R; Moore, Tyler M; Stifelman, Jacquelyn; Pecsok, Maggie K; Atkins, Ally; Baller, Erica B; Calkins, Monica E; De Biasi, Mariella; Kohler, Christian G; Mastracchio, Christina; Mordy, Arianna; Robinson, Heather; Reddy, Ravinder; Nanga, Ravi Prakash Reddy; Ruparel, Kosha; Rush-Goebel, Sage; Wolf, Daniel H; Gur, Ruben C; Gur, Raquel E; Scott, J Cobb	November 1, 2026	Not Determined
42306263	Create Study	An open, fully-processed data resource for studying mood and sleep variability in the developing brain.	Aperture neuro	Brook, Juliette B H; Salo, Taylor; Luo, Audrey C; Bagautdinova, Joëlle; Rush, Sage; Alexander-Bloch, Aaron F; Baller, Erica B; Calkins, Monica E; Cieslak, Matt; Cooper, Elena C; Detre, John A; Elliott, Mark A; Fair, Damien A; Freedman, Phoebe; Gehrman, Philip R; Gur, Ruben C; Gur, Raquel E; Klein, Arno; Laney, Nina; Laumann, Timothy O; Mehta, Kahini; Merikangas, Kathleen; Milham, Michael P; Mitchell, Jonathan A; Moore, Tyler M; Nelson, Steven M; Ruparel, Kosha; Sevchik, Brooke L; Shanmugan, Sheila; Shou, Haochang; Taso, Manuel; White, Lauren K; Wolf, Daniel H; Tisdall, M Dylan; Roalf, David R; Satterthwaite, Theodore D	January 1, 2026	Not Determined
41614244	Create Study	Neurostructural Substrates of Hierarchical Dimensions of Internalizing Symptoms in Youth.	Human brain mapping	Durham, E Leighton; Moore, Tyler M; Ellis, Kaitlynn E; Wang, Shuti; Jeong, Hee Jung; Reimann, Gabrielle E; Archer, Camille; Kaczkurkin, Antonia N	February 1, 2026	Not Determined
41509330	Create Study	Anatomical White Matter Tracts Span the Cortical Hierarchy to Support Cognitive Diversity.	bioRxiv : the preprint server for biology	Bagautdinova, Joëlle; Shafiei, Golia; Luo, Audrey C; Pecsok, Margaret K; Salo, Taylor; Alexander-Bloch, Aaron F; Bassett, Dani S; Gardner, Margaret E; Gur, Raquel E; Gur, Ruben C; Mackey, Allyson P; Misic, Bratislav; Moore, Tyler M; Roalf, David R; Shinohara, Russell T; Sydnor, Valerie J; Tong, Tien T; Yeh, Fang-Cheng; Poldrack, Russell A; Cieslak, Matthew; Satterthwaite, Theodore D	December 22, 2025	Not Determined
41376618	Create Study	White Matter Bundle Reconstruction From Single-Shell Diffusion Magnetic Resonance Imaging: Test-Retest Reliability and Predictive Capability Across Orientation Distribution Function Reconstruction Methods.	Human brain mapping	Rauland, Amelie; Meisler, Steven L; Alexander-Bloch, Aaron F; Bagautdinova, Joëlle; Baller, Erica B; Gur, Raquel E; Gur, Ruben C; Luo, Audrey C; Moore, Tyler M; Popovych, Oleksandr V; Reetz, Kathrin; Roalf, David R; Shinohara, Russell T; Sotardi, Susan; Sydnor, Valerie J; Vossough, Arastoo; Eickhoff, Simon B; Cieslak, Matthew; Satterthwaite, Theodore D	December 1, 2025	Not Determined
41333424	Create Study	Cannabis Use and Glutamate across the Psychosis Spectrum: In Vivo Evidence from 7T Proton Magnetic Resonance Spectroscopy.	Research square	Roalf, David; Moore, Tyler; Stifelman, Jacquelyn; Pecsok, Maggie; Atkins, Ally; Calkins, Monica; De Biasi, Mariella; Kohler, Christian; Mastracchio, Christina; Mordy, Arianna; Robinson, Heather; Reddy, Ravinder; Nanga, Ravi Prakash Reddy; Ruparel, Kosha; Rush, Sage; Wolf, Daniel; Gur, Ruben; Gur, Raquel; Scott, J Cobb	November 23, 2025	Not Determined
40463267	Create Study	An open, fully-processed data resource for studying mood and sleep variability in the developing brain.	bioRxiv : the preprint server for biology	Brook, Juliette B H; Salo, Taylor; Luo, Audrey C; Bagautdinova, Joëlle; Rush, Sage; Alexander-Bloch, Aaron F; Baller, Erica B; Calkins, Monica E; Cieslak, Matt; Cooper, Elena C; Detre, John A; Elliot, Mark A; Fair, Damien A; Freedman, Phoebe; Gehrman, Philip R; Gur, Ruben C; Gur, Raquel E; Klein, Arno; Laney, Nina; Laumann, Timothy O; Mehta, Kahini; Merikangas, Kathleen; Milham, Michael P; Mitchell, Jonathan A; Moore, Tyler M; Nelson, Steven M; Ruparel, Kosha; Sevchik, Brooke L; Shanmugan, Sheila; Shou, Haochang; Taso, Manuel; White, Lauren K; Wolf, Daniel H; Tisdall, M Dylan; Roalf, David R; Satterthwaite, Theodore D	May 14, 2025	Not Determined
39816605	Create Study	Understanding psychotic-like experiences in children in the context of dimensions of psychological problems.	Frontiers in child and adolescent psychiatry	Jeong, Hee Jung; Lahey, Benjamin B; Reimann, Gabrielle E; Durham, E Leighton; Archer, Camille; Moore, Tyler M; Shah, Krisha; Kaczkurkin, Antonia N	January 1, 2024	Not Determined
39480333	Create Study	Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.	Journal of psychopathology and clinical science	Reimann, Gabrielle E; Dupont, Randolph M; Sotiras, Aristeidis; Earnest, Tom; Jeong, Hee Jung; Durham, E Leighton; Archer, Camille; Moore, Tyler M; Lahey, Benjamin B; Kaczkurkin, Antonia N	November 1, 2024	Not Determined
39154134	Create Study	Concurrent and longitudinal neurostructural correlates of irritability in children.	Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology	Archer, Camille; Jeong, Hee Jung; Reimann, Gabrielle E; Durham, E Leighton; Moore, Tyler M; Wang, Shuti; Ashar, Devisi A; Kaczkurkin, Antonia N	December 1, 2024	Not Determined
39048645	Create Study	Neurocognitive profiles of 22q11.2 and 16p11.2 deletions and duplications.	Molecular psychiatry	Gur, Ruben C; Bearden, Carrie E; Jacquemont, Sebastien; Swillen, Ann; van Amelsvoort, Therese; van den Bree, Marianne; Vorstman, Jacob; Sebat, Jonathan; Ruparel, Kosha; Gallagher, Robert Sean; McClellan, Emily; White, Lauren; Crowley, Terrence Blaine; Giunta, Victoria; Kushan, Leila; O'Hora, Kathleen; Verbesselt, Jente; Vandensande, Ans; Vingerhoets, Claudia; van Haelst, Mieke; Hall, Jessica; Harwood, Janet; Chawner, Samuel J R A; Patel, Nishi; Palad, Katrina; Hong, Oanh; Guevara, James; Martin, Charles Olivier; Jizi, Khadije; Bélanger, Anne-Marie; Scherer, Stephen W; Bassett, Anne S; McDonald-McGinn, Donna M; Gur, Raquel E	February 1, 2025	Not Determined
38918700	Create Study	Computer-vision analysis of craniofacial dysmorphology in 22q11.2 deletion syndrome and psychosis spectrum disorders.	Journal of neurodevelopmental disorders	Roalf, David R; McDonald-McGinn, Donna M; Jee, Joelle; Krall, Mckenna; Crowley, T Blaine; Moberg, Paul J; Kohler, Christian; Calkins, Monica E; Crow, Andrew J D; Fleischer, Nicole; Gallagher, R Sean; Gonzenbach, Virgilio; Clark, Kelly; Gur, Ruben C; McClellan, Emily; McGinn, Daniel E; Mordy, Arianna; Ruparel, Kosha; Turetsky, Bruce I; Shinohara, Russell T; White, Lauren; Zackai, Elaine; Gur, Raquel E	June 25, 2024	Not Determined
38869751	Create Study	The General Psychopathology ''p'' Factor in Adolescence: Multi-Informant Assessment and Computerized Adaptive Testing.	Research on child and adolescent psychopathology	Jones, Jason D; Boyd, Rhonda C; Sandro, Akira Di; Calkins, Monica E; Los Reyes, Andres De; Barzilay, Ran; Young, Jami F; Benton, Tami D; Gur, Ruben C; Moore, Tyler M; Gur, Raquel E	November 1, 2024	Not Determined
38554493	Create Study	Validation of the structured interview section of the penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT GOASSESS).	Psychiatry research	Zoupou, Eirini; Moore, Tyler M; Kennedy, Kelly P; Calkins, Monica E; Gorgone, Alesandra; Sandro, Akira Di; Rush, Sage; Lopez, Katherine C; Ruparel, Kosha; Daryoush, Tarlan; Okoyeh, Paul; Savino, Andrew; Troyan, Scott; Wolf, Daniel H; Scott, J Cobb; Gur, Raquel E; Gur, Ruben C	May 1, 2024	Not Determined
38530121	Create Study	Gray matter volume associations in youth with ADHD features of inattention and hyperactivity/impulsivity.	Human brain mapping	Reimann, Gabrielle E; Jeong, Hee Jung; Durham, E Leighton; Archer, Camille; Moore, Tyler M; Berhe, Fanual; Dupont, Randolph M; Kaczkurkin, Antonia N	April 1, 2024	Not Determined
38518431	Create Study	Early life stress and functional network topology in children.	Developmental cognitive neuroscience	Jeong, Hee Jung; Reimann, Gabrielle E; Durham, E Leighton; Archer, Camille; Stier, Andrew J; Moore, Tyler M; Pines, Julia R; Berman, Marc G; Kaczkurkin, Antonia N	April 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
38234766	Create Study	Neurocognitive Profiles of 22q11.2 and 16p11.2 Deletions and Duplications.	Research square	Gur, Ruben; Bearden, Carrie; Jacquemont, Sébastien; Jizi, Khadije; Amelsvoort van, Therese; van den Bree, Marianne; Vorstman, Jacob; Sebat, Jonathan; Ruparel, Kosha; Gallagher, Robert; Swillen, Ann; McClellan, Emily; White, Lauren; Crowley, Terrence; Giunta, Victoria; Kushan, Leila; O'Hora, Kathleen; Verbesselt, Jente; Vandensande, Ans; Vingerhoets, Claudia; van Haelst, Mieke; Hall, Jessica; Harwood, Janet; Chawner, Samuel; Patel, Nishi; Palad, Katrina; Hong, Oanh; Guevara, James; Martin, Charles-Olivier; Bélanger, Anne-Marie; Scherer, Stephen; Bassett, Anne; McDonald-McGinn, Donna; Gur, Raquel	December 29, 2023	Not Determined
38229473	Create Study	Remote assessment of the Penn computerised neurocognitive battery in individuals with 22q11.2 deletion syndrome.	Journal of intellectual disability research : JIDR	White, L K; Hillman, N; Ruparel, K; Moore, T M; Gallagher, R S; McClellan, E J; Roalf, D R; Scott, J C; Calkins, M E; McGinn, D E; Giunta, V; Tran, O; Crowley, T B; Zackai, E H; Emanuel, B S; McDonald-McGinn, D M; Gur, R E; Gur, R C	April 1, 2024	Not Determined
38185921	Create Study	Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence.	Journal of child psychology and psychiatry, and allied disciplines	Lahey, Benjamin B; Durham, E Leighton; Brislin, Sarah J; Barr, Peter B; Dick, Danielle M; Moore, Tyler M; Pierce, Brandon L; Tong, Lin; Reimann, Gabrielle E; Jeong, Hee Jung; Dupont, Randolph M; Kaczkurkin, Antonia N	August 1, 2024	Not Determined
38128447	Create Study	Validation of the cognitive section of the Penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT-CCNB).	Brain and cognition	Di Sandro, Akira; Moore, Tyler M; Zoupou, Eirini; Kennedy, Kelly P; Lopez, Katherine C; Ruparel, Kosha; Njokweni, Lucky J; Rush, Sage; Daryoush, Tarlan; Franco, Olivia; Gorgone, Alesandra; Savino, Andrew; Didier, Paige; Wolf, Daniel H; Calkins, Monica E; Cobb Scott, J; Gur, Raquel E; Gur, Ruben C	February 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
37728661	Create Study	Hoarding behavior and its association with mental health and functioning in a large youth sample.	European child & adolescent psychiatry	Linkovski, Omer; Moore, Tyler M; Argabright, Stirling T; Calkins, Monica E; Gur, Ruben C; Gur, Raquel E; Barzilay, Ran	June 1, 2024	Not Determined

helpcenter.collection.publications-tab

Collection - Publications

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

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

Frequently Asked Questions

How can I determine if a publication is relevant?

Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
Where does the NDA get the publications?

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

Glossary

Create Study

A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
Not Determined Publication

Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
Not Relevant Publication

A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
PubMed

PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
PubMed ID

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

A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

Contact NDA Help Desk

Data Expected List: Mandatory Data Structures

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

For NIMH HIV-related research that involves human research participants: Select the dictionary or dictionaries most appropriate for your research. If your research does not require all three data dictionaries, just ignore the ones you do not need. There is no need to delete extra data dictionaries from your NDA Collection. You can adjust the Targeted Enrollment column in the Data Expected tab to “0” for those unnecessary data dictionaries. At least one of the three data dictionaries must have a non-zero value.

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Research Subject and Pedigree	300	12/20/2021	327	12/20/2022	321	Approved

To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

If the Structure you need already exists, locate it and specify your dates and enrollment when adding it to your Data Expected list. If you require changes to the Structure you need, select the indicator stating "No, it requires changes to meet research needs," and upload a file containing your requested changes.

If the structure you need is not yet defined in the Data Dictionary, you can select "Upload Definition" and attach the necessary materials to request its creation.

When selecting the expected dates for your data, make sure to follow the standard Data Sharing Regimen and choose dates within the date ranges that correspond to your project start and end dates.

Please visit the Completing Your Data Expected Tutorial for more information.

Data Expected List: Data Structures per Research Aims

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

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
Penn Computerized Neurobehavioral Battery (PennCNB)	333	02/25/2024	0	02/25/2025	0	Approved
GOAssess	333	02/02/2024	0	02/02/2025	0	Approved

Structure not yet defined

No Status history for this Data Expected has been recorded yet

helpcenter.collection.data-expected-tab

Collection - Data Expected

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

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

Researchers who are starting their project need to update their Data Expected list to include all the Data Structures they are collecting under their grant and set their initial submission and sharing schedule according to the NDA Data Sharing Regimen.

To add existing Data Structures from the Data Dictionary, to request new Data Structure that are not in the Dictionary, or to request changes to existing Data Structures, click "+New Data Expected".

For step-by-step instructions on how to add existing Data Structures, request changes to an existing Structure, or request a new Data Structure, please visit the Completing Your Data Expected Tutorial.

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

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

Frequently Asked Questions

What is an NDA Data Structure?

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

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

Glossary

Analyzed Data

Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
Data Item

Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
Data Structure

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

An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
Data Structure Group

A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
Evaluated Data

A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
Imaging Data

Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
Initial Share Date

Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
Initial Submission Date

Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
Research Subject and Pedigree

An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
Submission Cycle

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

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

Contact NDA Help Desk

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

Associated Studies

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

Study NameFilter by Study Name	DOIFilter by DOI	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
Morphosyntactic Speech Markers Are Associated With Anhedonia in Clinical High Risk for Psychosis: Evidence from the AMP®SCZ data release	10.15154/ffq5-2740	This study is a secondary analysis of AMP-SCZ Data Release 3.0. No data were generated by the investigators; all variables, including the language features, were obtained in already-processed form from the NIMH Data Archive under an approved Data Use Certification. The analysis addresses two questions. First, how far the elicitation protocol and transcript length determine the values of released morphosyntactic speech features, by comparing an open-ended conversational interview with the PSYCHS diagnostic interview in the same cohort. Second, whether any morphosyntactic feature is associated with clinician-rated anhedonia within clinical high-risk participants, independently of alogia, and whether such an association reflects stable differences between participants or change within participants over the two-month follow-up. All 102 released morphosyntactic features were converted to densities per word and standardised within protocol. Baseline group comparisons used ordinary least squares regression with and without log transcript length as a covariate, adjusting for age, sex and Full-Scale IQ. Symptom associations used random-intercept linear mixed-effects models across the two available waves, with each feature decomposed into a participant mean and a person-mean-centred deviation. Benjamini-Hochberg false-discovery-rate correction was applied across the 102-feature family within each analysis. Sensitivity analyses additionally modelled study site and non-linear length effects (quadratic and cubic-spline terms).	2/765	Secondary Analysis	Shared

* Data not on individual level

helpcenter.collection.associated-studies-tab

Collection - Associated Studies

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

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

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

Frequently Asked Questions

How do I associate a study to my collection?

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

Glossary

Associated Studies Tab

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

Contact NDA Help Desk

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