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¹ Numbers reported are subjects by age

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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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Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRI #3950

General
Experiments (0)
Shared Data
Publications (50)
Data Expected (2)
Associated Studies (0)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRI
Collection Investigators:	Lauren J. O'Donnell
Collection Description:	In this 5-year R01 project entitled Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRI, we propose to create the first atlas of the human brains superficial white matter SWM using sub-millimeter ultra high resolution diffusion MRI dMRI. The SWM is located between the deep white matter and the cortex. It plays an important role in neurodevelopment and aging, and it has been implicated in a large number of diseases including Alzheimer's, Huntington's, epilepsy, autism spectrum disorder, schizophrenia, and bipolar disorder. Despite its significance in health and disease, the SWM is vastly underrepresented in current descriptions of the human brain connectome. The SWM contains short, u-shaped association fiber bundles called u-fibers. Multiple challenges have thus far prevented comprehensive mapping of the human brains SWM. These challenges include the inadequate spatial resolution of dMRI data, which prevents u-fiber tracing using current tractography methods, as well as the small size, high curvature, and high inter-subject variability of the u-fibers. An additional challenge is the lack of ground truth information. Our understanding of human neuroanatomy relies heavily on the results of invasive tracer studies in monkeys, but the detailed neuroanatomy of the SWM in monkeys has not yet been systematically compiled or analyzed. We propose to address these challenges to create the most comprehensive description of the SWM to date. Our strategy includes using ultra high spatial resolution dMRI acquisitions 700m isotropic or better at multiple echo times TE, novel dMRI tractography methods designed for tracing u-fibers, anatomically informed machine learning to parcellate the u-fibers, and expert neuroanatomical generation of the SWM connectivity matrix from monkey tracer studies. Furthermore, we will develop a novel ontological framework to organize and name the SWM systems of the monkey and human brains. Overall, these steps will enable robust in-vivo tracing and capturing of inter-subject variability of the SWM of the human brain at an unprecedented spatial resolution. Our proposed deliverables will be the first comprehensive, anatomically curated atlases of the SWM in human and monkey, which will enable the study of the SWM in health and disease. We will publicly release all image data, tractography atlases, monkey connectivity matrices, extracted fascicles, and all software as open source.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	07/01/2021
Collection Phase:	Enrolling
Blinded Clinical Trial:	No
Total Funded Amount:	$4,132,405.00
Subjects Shared:	0
Collection DOI:	10.15154/r68b-3g97

{"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
R01MH125860-01	Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRI	07/01/2021	04/30/2026	04/30/2027	20	15	BRIGHAM AND WOMENS HOSPITAL	$4,132,405.00

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Collection - General Tab

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

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Collection Description
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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.

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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.
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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:
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ID	Name	Created Date	Status	Type
No records found.

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Collection - Experiments

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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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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
41676554	Create Study	Distinct cortical excitability and connectivity profiles within the human SMA complex.	bioRxiv : the preprint server for biology	Lomi, Francesco; Jafarov, Ali; Iannuzzo, Fiammetta; Roine, Timo; Granö, Ida; Gogulski, Juha; Aydogan, Dogu Baran; Laakso, Ilkka; Rosanova, Mario; Rossi, Simone; Makris, Nikos; Ilmoniemi, Risto J; Lioumis, Pantelis	February 2, 2026	Not Determined
41256884	Create Study	Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography.	ArXiv	Descoteaux, Maxime; Schilling, Kurt G; Aydogan, Dogu Baran; Beaulieu, Christian; Borra, Elena; Chamberland, Maxime; Daducci, Alessandro; Luca, Alberto De; Dell'Acqua, Flavio; Dubois, Jessica; Dyrby, Tim B; Farquharson, Shawna; Forkel, Stephanie; Froeling, Martijn; Griffa, Alessandra; Grotheer, Mareike; Guevara, Pamela; Haber, Suzanne N; Jangir, Vinod Kumar; Leemans, Alexander; Lefebvre, Joël; Lin, Ching-Po; Little, Graham; Zac Lo, Chun-Yi; Maffei, Chiara; Mayberg, Helen S; McNab, Jennifer A; Mukherjee, Pratik; O'Donnell, Lauren J; Parent, Martin; Pierpaoli, Carlo; Rheault, Francois; Rockland, Kathleen S; Roebroeck, Alard; Rokem, Ariel; Rushmore, R Jarrett; Sarubbo, Silvio; Schiavi, Simona; Sotiropoulos, Stamatios N; Szczupak, Diego; de Schotten, Michel Thiebaut; Tournier, J-Donald; Vergani, Francesco; Yuan-Mou Yang, Joseph; Zhang, Fan; Jones, Derek; Petit, Laurent	September 30, 2025	Not Determined
41145995	Create Study	Effect of a consistent reconstruction algorithm on inter-scanner reproducibility in diffusion MRI.	Medical physics	Liu, Qiang; Zhu, Ante; Wang, Xiaoqing; Erdogmus, Deniz; Westin, Carl-Fredrik; O'Donnell, Lauren J; Bilgic, Berkin; Ning, Lipeng; Rathi, Yogesh	November 1, 2025	Not Determined
41040237	Create Study	Study of Sex Differences in the Whole Brain White Matter Using Diffusion MRI Tractography and Suprathreshold Fiber Cluster Statistics.	bioRxiv : the preprint server for biology	Zhang, Fan; Rushmore, Jarrett; Li, Yijie; Cetin-Karayumak, Suheyla; Song, Yang; Cai, Weidong; Westin, Carl-Fredrik; Levitt, James J; Makris, Nikos; Rathi, Yogesh; O'Donnell, Lauren J	September 28, 2025	Not Determined
40800747	Create Study	Fiber microstructure quantile (FMQ) regression: A novel statistical approach for analyzing white matter bundles from periphery to core.	Imaging neuroscience (Cambridge, Mass.)	Lan, Zhou; Chen, Yuqian; Rushmore, Jarrett; Zekelman, Leo; Makris, Nikos; Rathi, Yogesh; Golby, Alexandra J; Zhang, Fan; O'Donnell, Lauren J	January 1, 2025	Not Determined
40776551	Create Study	Towards an Informed Choice of Diffusion MRI Image Contrasts for Cerebellar Segmentation.	Human brain mapping	Legarreta, Jon Haitz; Lan, Zhou; Chen, Yuqian; Zhang, Fan; Yeterian, Edward H; Makris, Nikos; Rushmore, Richard J; Rathi, Yogesh; O'Donnell, Lauren J	August 1, 2025	Not Determined
40766497	Create Study	The superficial white matter in language processing: Broca''s area connections are bilaterally associated with individual performance in children and adults.	bioRxiv : the preprint server for biology	Hassanzadeh-Behbahani, Shiva; Lan, Zhou; Zekelman, Leo; Rushmore, R Jarrett; Chen, Yuqian; Xue, Tengfei; Cetin-Karayumak, Suheyla; Pieper, Steve; Tie, Yanmei; Yeterian, Edward; Golby, Alexandra J; Makris, Nikos; Zhang, Fan; Rathi, Yogesh; O'Donnell, Lauren J	August 1, 2025	Not Determined
40537069	Create Study	Association of Superficial White Matter Microstructure With Cortical Pathology Deposition Across Early Stages of the AD Continuum.	Neurology	Wang, Shuyue; Zhang, Fan; Zeng, Qingze; Hong, Hui; Zhang, Yao; Xie, Linyun; Lin, Miao; Jiaerken, Yeerfan; Yu, Xinfeng; Zhang, Ruiting; Luo, Xiao; Li, Kaicheng; Xu, Xiaopei; Hassanzadeh-Behbahani, Shiva; Lin, Bin; Rushmore, Jarrett; Wang, Chao; Rathi, Yogesh; Makris, Nikos; Huang, Peiyu; Zhang, Minming; Sun, Jianzhong; O'Donnell, Lauren; Alzheimer's Disease Neuroimaging Initiative	July 22, 2025	Not Determined
40515858	Create Study	Short association fiber tractography: key insights and surprising facts.	Brain structure & function	Schilling, Kurt; Zhang, Fan; Román, Claudio; O'Donnell, Lauren J; Guevara, Pamela	June 14, 2025	Not Determined
40407799	Create Study	Cross-site harmonization of diffusion MRI data without matched training subjects.	Magnetic resonance in medicine	De Luca, Alberto; Swartenbroekx, Tine; Seelaar, Harro; van Swieten, John; Cetin Karayumak, Suheyla; Rathi, Yogesh; Pasternak, Ofer; Jiskoot, Lize; Leemans, Alexander	October 1, 2025	Not Determined
40193105	Create Study	TractCloud-FOV: Deep Learning-Based Robust Tractography Parcellation in Diffusion MRI With Incomplete Field of View.	Human brain mapping	Chen, Yuqian; Zekelman, Leo; Lo, Yui; Cetin-Karayumak, Suheyla; Xue, Tengfei; Rathi, Yogesh; Makris, Nikos; Zhang, Fan; Cai, Weidong; O'Donnell, Lauren J	April 1, 2025	Not Determined
40161663	Create Study	Towards an informed choice of diffusion MRI image contrasts for cerebellar segmentation.	bioRxiv : the preprint server for biology	Legarreta, Jon Haitz; Lan, Zhou; Chen, Yuqian; Zhang, Fan; Yeterian, Edward; Makris, Nikos; Rushmore, Jarrett; Rathi, Yogesh; O'Donnell, Lauren J	March 11, 2025	Not Determined
40143640	Create Study	The Shape of the Brain''s Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study.	Human brain mapping	Lo, Yui; Chen, Yuqian; Liu, Dongnan; Liu, Wan; Zekelman, Leo; Rushmore, Jarrett; Zhang, Fan; Rathi, Yogesh; Makris, Nikos; Golby, Alexandra J; Cai, Weidong; O'Donnell, Lauren J	April 1, 2025	Not Determined
40112509	Create Study	A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI.	Medical image analysis	Consagra, William; Ning, Lipeng; Rathi, Yogesh	May 1, 2025	Not Determined
39974921	Create Study	Consistent cerebellar pathway-cognition associations across pre-adolescents & young adults: a diffusion MRI study of 9000+ participants.	bioRxiv : the preprint server for biology	Zekelman, Leo R; Cetin-Karayumak, Suheyla; Chen, Yuqian; Almeida, Melyssa; Legarreta, Jon Haitz; Rushmore, Jarrett; Pieper, Steve; Lan, Zhou; Desmond, John E; Baird, Lissa C; Makris, Nikos; Rathi, Yogesh; Zhang, Fan; Golby, Alexandra J; O'Donnell, Lauren J	February 6, 2025	Not Determined
39787735	Create Study	DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI.	Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society	Li, Chenjun; Yang, Dian; Yao, Shun; Wang, Shuyue; Wu, Ye; Zhang, Le; Li, Qiannuo; Cho, Kang Ik Kevin; Seitz-Holland, Johanna; Ning, Lipeng; Legarreta, Jon Haitz; Rathi, Yogesh; Westin, Carl-Fredrik; O'Donnell, Lauren J; Sochen, Nir A; Pasternak, Ofer; Zhang, Fan	March 1, 2025	Not Determined
39564727	Create Study	Tractography-Based Automated Identification of Retinogeniculate Visual Pathway With Novel Microstructure-Informed Supervised Contrastive Learning.	Human brain mapping	Li, Sipei; Zhang, Wei; Yao, Shun; He, Jianzhong; Gao, Jingjing; Xue, Tengfei; Xie, Guoqiang; Chen, Yuqian; Torio, Erickson F; Feng, Yuanjing; Bastos, Dhiego C A; Rathi, Yogesh; Makris, Nikos; Kikinis, Ron; Bi, Wenya Linda; Golby, Alexandra J; O'Donnell, Lauren J; Zhang, Fan	December 1, 2024	Not Determined
39484397	Create Study	Fiber Microstructure Quantile (FMQ) Regression: A Novel Statistical Approach for Analyzing White Matter Bundles from Periphery to Core.	bioRxiv : the preprint server for biology	Lan, Zhou; Chen, Yuqian; Rushmore, Jarrett; Zekelman, Leo; Makris, Nikos; Rathi, Yogesh; Golby, Alexandra J; Zhang, Fan; O'Donnell, Lauren J	April 16, 2025	Not Determined
39392220	Create Study	Assessment of the Depiction of Superficial White Matter Using Ultra-High-Resolution Diffusion MRI.	Human brain mapping	Zhang, Fan; Chen, Yuqian; Ning, Lipeng; Rushmore, Jarrett; Liu, Qiang; Du, Mubai; Hassanzadeh-Behbahani, Shiva; Legarreta, Jon Haitz; Yeterian, Edward; Makris, Nikos; Rathi, Yogesh; O'Donnell, Lauren J	October 1, 2024	Not Determined
39234825	Create Study	Facial Nerve Tractography Using Diffusion MRI: A Comparison of Acquisition b -Values and Single- and Multifiber Tracking Strategies.	Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology	Epprecht, Lorenz; Zekelman, Leo; Reinshagen, Katherine L; Xie, Guoqiang; Norton, Isaiah; Kikinis, Ron; Makris, Nikos; Piccirelli, Marco; Huber, Alexander; Lee, Daniel J; Zhang, Fan; O'Donnell, Lauren J	October 1, 2024	Not Determined
39185598	Create Study	Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning.	Human brain mapping	Tchetchenian, Ari; Zekelman, Leo; Chen, Yuqian; Rushmore, Jarrett; Zhang, Fan; Yeterian, Edward H; Makris, Nikos; Rathi, Yogesh; Meijering, Erik; Song, Yang; O'Donnell, Lauren J	August 15, 2024	Not Determined
39136245	Create Study	Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements.	Magnetic resonance in medicine	Liu, Qiang; Gagoski, Borjan; Shaik, Imam Ahmed; Westin, Carl-Fredrik; Wilde, Elisabeth A; Schneider, Walter; Bilgic, Berkin; Grissom, William A; Nielsen, Jon-Fredrik; Zaitsev, Maxim; Rathi, Yogesh; Ning, Lipeng	December 1, 2024	Not Determined
39019877	Create Study	A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations.	Scientific data	Li, Yijie; Zhang, Wei; Wu, Ye; Yin, Li; Zhu, Ce; Chen, Yuqian; Cetin-Karayumak, Suheyla; Cho, Kang Ik K; Zekelman, Leo R; Rushmore, Jarrett; Rathi, Yogesh; Makris, Nikos; O'Donnell, Lauren J; Zhang, Fan	July 17, 2024	Not Determined
38895252	Create Study	Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements.	bioRxiv : the preprint server for biology	Liu, Qiang; Gagoski, Borjan; Shaik, Imam Ahmed; Westin, Carl-Fredrik; Wilde, Elisabeth A; Schneider, Walter; Bilgic, Berkin; Grissom, William; Nielsen, Jon-Fredrik; Zaitsev, Maxim; Rathi, Yogesh; Ning, Lipeng	June 3, 2024	Not Determined
38739896	Create Study	A Narrative Review on the Clinical Relevance of Imaging the Circumventricular Brain Organs and Performing Their Anatomical and Histopathological Examination in Acute and Postacute COVID-19.	The American journal of forensic medicine and pathology	Castañeyra-Perdomo, Agustin; Gonzalez-Mora, Jose Luis; Carmona-Calero, Emilia Maria; Makris, Nikos; Carrasco-Juan, Jose Luis	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	20	04/30/2026	0	11/15/2022	0	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
Processed MRI Data	20	04/30/2026	0	04/30/2027	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
No records found.

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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