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	Illumina Infinium PsychArray BeadChip Assay	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.

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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.

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[CMS]

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Data Expected Item	Original Sharing Date	New Sharing Date

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Early Brain Development in Twins #1974

General
Experiments (0)
Shared Data
Publications (137)
Data Expected (2)
Associated Studies (1)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Early Brain Development in Twins
Collection Investigators:	John Gilmore
Collection Description:	Twin studies have been critical in determining the contributions of genetic and environmental factors to normal brain structure and for understanding abnormalities of brain development that underlie neurodevelopmental and neuropsychiatric disorders. In adults and older children, twin studies indicate that genes play a significant role in the variability of global brain volumes, including total brain, total gray and total white matter volumes. Other than this current study, there have been no studies of twin brain development in early childhood, the period of brain development implicated in the pathogenesis of many psychiatric disorders. In the first funding cycle of this grant, we used prenatal ultrasound and neonatal MRI to study discordance of early brain development, and to determine genetic and environmental contributions to neonatal brain structure. We have and have developed a unique and valuable cohort of twins, having recruited and scanned over 100 twin pairs. We found that discordance of prenatal brain size in MZ twins is similar to that in DZ twins, but that by 1 month after birth, discordance of overall brain volume in MZ twins is already less than in DZ twins. Statistical modeling of neonatal MRI brain volumes in our twin cohort indicates that global tissue volumes are highly heritable, similar to that observed in older children and adults, though gray matter heritability may is somewhat less. Therefore, it appears that genetic programs act very early in postnatal brain development to determine global tissue volumes. Interestingly, preliminary longitudinal mapping of correlations in gray matter density indicate correlations decrease in the first year of life, perhaps as the result of rapid brain growth in the first years of life. We also found that while global white matter volumes are highly heritable, diffusion tensor properties of specific white matter tracts are not. In the next funding cycle, we propose to continue enlarging this unique cohort and to follow them through age 6 years with structural MRI, diffusion tensor imaging (DTI), and developmental assessments to determine how genetic and environmental factors contribute to brain development in the first years of life.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	08/09/2012
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$2,098,844.00
Subjects Shared:	248

{"values":[]}

{"values":[["Not Defined",244]]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Project Title	Start Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
R01MH070890-06	Early Brain Development in Twins	05/01/2010	01/31/2015	375	873	UNIV OF NORTH CAROLINA CHAPEL HILL	$2,098,844.00

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
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.

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
Image	Imaging	248

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
37996530	Create Study	A global multicohort study to map subcortical brain development and cognition in infancy and early childhood.	Nature neuroscience	Alex, Ann M; Aguate, Fernando; Botteron, Kelly; Buss, Claudia; Chong, Yap-Seng; Dager, Stephen R; Donald, Kirsten A; Entringer, Sonja; Fair, Damien A; Fortier, Marielle V; Gaab, Nadine; Gilmore, John H; Girault, Jessica B; Graham, Alice M; Groenewold, Nynke A; Hazlett, Heather; Lin, Weili; Meaney, Michael J; Piven, Joseph; Qiu, Anqi; Rasmussen, Jerod M; Roos, Annerine; Schultz, Robert T; Skeide, Michael A; Stein, Dan J; Styner, Martin; Thompson, Paul M; Turesky, Ted K; Wadhwa, Pathik D; Zar, Heather J; Zöllei, Lilla; de Los Campos, Gustavo; Knickmeyer, Rebecca C; ENIGMA ORIGINs group	January 1, 2024	Not Determined
37898019	Create Study	Structural and functional connectome relationships in early childhood.	Developmental cognitive neuroscience	Hong, Yoonmi; Cornea, Emil; Girault, Jessica B; Bagonis, Maria; Foster, Mark; Kim, Sun Hyung; Prieto, Juan Carlos; Chen, Haitao; Gao, Wei; Styner, Martin A; Gilmore, John H	December 1, 2023	Not Determined
37369585	Create Study	Mapping Genetic Topography of Cortical Thickness and Surface Area in Neonatal Brains.	The Journal of neuroscience : the official journal of the Society for Neuroscience	Huang, Ying; Wu, Zhengwang; Li, Tengfei; Wang, Xifeng; Wang, Ya; Xing, Lei; Zhu, Hongtu; Lin, Weili; Wang, Li; Guo, Lei; Gilmore, John H; Li, Gang	August 23, 2023	Not Determined
36190430	Create Study	Genetic and environmental factors influencing neonatal resting-state functional connectivity.	Cerebral cortex (New York, N.Y. : 1991)	Blanchett, Reid; Chen, Yuanyuan; Aguate, Fernando; Xia, Kai; Cornea, Emil; Burt, S Alexandra; de Los Campos, Gustavo; Gao, Wei; Gilmore, John H; Knickmeyer, Rebecca C	April 4, 2023	Not Determined
36162754	Create Study	Early Childhood Development of Node Centrality in the White Matter Connectome and Its Relationship to IQ at Age 6 Years.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Bagonis, Maria; Cornea, Emil; Girault, Jessica B; Stephens, Rebecca L; Kim, SunHyung; Prieto, Juan Carlos; Styner, Martin; Gilmore, John H	October 1, 2023	Not Determined
35720672	Create Study	CONTINUITY: CONnectivity Tool with INtegration of sUbcortical regions, regIstration and visualization of TractographY.	Proceedings of SPIE--the International Society for Optical Engineering	Piot, Elodie; Bagonis, Maria; Prieto, Juan C; Styner, Martin	February 1, 2022	Not Determined
34231837	Create Study	Genetic Influences on Longitudinal Trajectories of Cortical Thickness and Surface Area during the First 2 Years of Life.	Cerebral cortex (New York, N.Y. : 1991)	Xia, Kai; Schmitt, J Eric; Jha, Shaili C; Girault, Jessica B; Cornea, Emil; Li, Gang; Shen, Dinggang; Styner, Martin; Gilmore, John H	January 10, 2022	Not Determined
33549320	Create Study	General anaesthesia during infancy reduces white matter micro-organisation in developing rhesus monkeys.	British journal of anaesthesia	Young, Jeffrey T; Vlasova, Roza M; Howell, Brittany R; Knickmeyer, Rebecca C; Morin, Elyse; Kuitchoua, Kaela I; Lubach, Gabriele R; Noel, Jean; Hu, Xiaoping; Shi, Yundi; Caudill, Gibson; Alexander, Andrew L; Niethammer, Marc; Paule, Merle G; Coe, Christopher L; Sanchez, Mar; Styner, Martin	April 1, 2021	Not Determined
33107801	Create Study	Subdural Hemorrhage in Asymptomatic Neonates: Neurodevelopmental Outcomes and MRI Findings at 2 Years.	Radiology	Zamora, Carlos; Sams, Cassandra; Cornea, Emil A; Yuan, Zhenhua; Smith, J Keith; Gilmore, John H	January 1, 2021	Not Determined
32741702	Create Study	Individual Variation of Human Cortical Structure Is Established in the First Year of Life.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Gilmore, John H; Langworthy, Benjamin; Girault, Jessica B; Fine, Jason; Jha, Shaili C; Kim, Sun Hyung; Cornea, Emil; Styner, Martin	October 1, 2020	Not Determined
32457022	Create Study	Extra-axial Cerebrospinal Fluid Relationships to Infant Brain Structure, Cognitive Development, and Risk for Schizophrenia.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Murphy, Veronica A; Shen, Mark D; Kim, Sun Hyung; Cornea, Emil; Styner, Martin; Gilmore, John H	July 2020	Not Determined
31983868	Create Study	Entropy-based Correspondence Improvement of Interpolated Skeletal Models.	Computer vision and image understanding : CVIU	Tu L, Vicory J, Elhabian S, Paniagua B, Prieto JC, Damon JN, Whitaker R, Styner M, Pizer SM	October 2016	Not Determined
31930620	Create Study	Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins.	Human brain mapping	Duan, Dingna; Xia, Shunren; Rekik, Islem; Wu, Zhengwang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang; Li, Gang	June 2020	Not Determined
31520254	Create Study	Individual differences in neonatal white matter are associated with executive function at 3 years of age.	Brain structure & function	Short, Sarah J; Willoughby, Michael T; Camerota, Marie; Stephens, Rebecca L; Steiner, Rachel J; Styner, Martin; Gilmore, John H	December 2019	Not Determined
31402834	Create Study	Fitting Skeletal Object Models Using Spherical Harmonics Based Template Warping.	IEEE signal processing letters	Tu, Liyun; Yang, Dan; Vicory, Jared; Zhang, Xiaohong; Pizer, Stephen M; Styner, Martin	December 2015	Not Determined
31057192	Create Study	FSEM: Functional Structural Equation Models for Twin Functional Data.	Journal of the American Statistical Association	Luo S, Song R, Styner M, Gilmore JH, Zhu H	January 2019	Not Determined
30835215	Create Study	Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.	IEEE transactions on medical imaging	Wang, Li; Nie, Dong; Li, Guannan; Puybareau, Elodie; Dolz, Jose; Zhang, Qian; Wang, Fan; Xia, Jing; Wu, Zhengwang; Chen, Jiawei; Thung, Kim-Han; Bui, Toan Duc; Shin, Jitae; Zeng, Guodong; Zheng, Guoyan; Fonov, Vladimir S; Doyle, Andrew; Xu, Yongchao; Moeskops, Pim; Pluim, Josien P W; Desrosiers, Christian; Ayed, Ismail Ben; Sanroma, Gerard; Benkarim, Oualid M; Casamitjana, Adria; Vilaplana, Veronica; Lin, Weili; Li, Gang; Shen, Dinggang	February 2019	Not Determined
30825656	Create Study	White matter connectomes at birth accurately predict cognitive abilities at age 2.	NeuroImage	Girault JB, Munsell BC, Puechmaille D, Goldman BD, Prieto JC, Styner M, Gilmore JH	May 2019	Not Determined
30604186	Create Study	Gut microbiome and brain functional connectivity in infants-a preliminary study focusing on the amygdala.	Psychopharmacology	Gao, Wei; Salzwedel, Andrew P; Carlson, Alexander L; Xia, Kai; Azcarate-Peril, M Andrea; Styner, Martin A; Thompson, Amanda L; Geng, Xiujuan; Goldman, Barbara D; Gilmore, John H; Knickmeyer, Rebecca C	May 2019	Not Determined
30450494	Create Study	Early Diagnosis of Autism Disease by Multi-channel CNNs.	Machine learning in medical imaging. MLMI (Workshop)	Li, Guannan; Liu, Mingxia; Sun, Quansen; Shen, Dinggang; Wang, Li	September 2018	Not Determined
30381806	Create Study	Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.	Machine learning in medical imaging. MLMI (Workshop)	Chen, Jiawei; Zhang, Han; Nie, Dong; Wang, Li; Li, Gang; Lin, Weili; Shen, Dinggang	September 1, 2018	Not Determined
30381780	Create Study	Group-wise Shape Correspondence of Variable and Complex Objects.	Proceedings of SPIE--the International Society for Optical Engineering	Lyu, Ilwoo; Perdomo, Jonathan; Yapuncich, Gabriel S; Paniagua, Beatriz; Boyer, Doug M; Styner, Martin A	March 2018	Not Determined
30368980	Create Study	Quantitative tract-based white matter heritability in 1- and 2-year-old twins.	Human brain mapping	Lee, Seung Jae; Zhang, Jingwen; Neale, Michael C; Styner, Martin; Zhu, Hongtu; Gilmore, John H	March 2019	Not Determined
30353962	Create Study	White matter microstructural development and cognitive ability in the first 2 years of life.	Human brain mapping	Girault, Jessica B; Cornea, Emil; Goldman, Barbara D; Knickmeyer, Rebecca C; Styner, Martin; Gilmore, John H	March 2019	Not Determined
30333714	Create Study	Verbal and nonverbal predictors of executive function in early childhood.	Journal of cognition and development : official journal of the Cognitive Development Society	Stephens, Rebecca L; Langworthy, Benjamin; Short, Sarah J; Goldman, Barbara D; Girault, Jessica B; Fine, Jason P; Reznick, J Steven; Gilmore, John H	January 2018	Not Determined
30270948	Create Study	The Predictive Value of Developmental Assessments at 1 and 2 for Intelligence Quotients at 6.	Intelligence	Girault, Jessica B; Langworthy, Benjamin W; Goldman, Barbara D; Stephens, Rebecca L; Cornea, Emil; Reznick, J Steven; Fine, Jason; Gilmore, John H	May 2018	Not Determined
30144223	Create Study	Genetic influences on neonatal cortical thickness and surface area.	Human brain mapping	Jha, Shaili C; Xia, Kai; Schmitt, James Eric; Ahn, Mihye; Girault, Jessica B; Murphy, Veronica A; Li, Gang; Wang, Li; Shen, Dinggang; Zou, Fei; Zhu, Hongtu; Styner, Martin; Knickmeyer, Rebecca C; Gilmore, John H	December 2018	Not Determined
30130646	Create Study	Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.	NeuroImage	Duan, Dingna; Xia, Shunren; Rekik, Islem; Meng, Yu; Wu, Zhengwang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang; Li, Gang	January 2019	Not Determined
29994385	Create Study	3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.	IEEE transactions on cybernetics	Nie, Dong; Wang, Li; Adeli, Ehsan; Lao, Cuijin; Lin, Weili; Shen, Dinggang	March 2019	Not Determined
29990689	Create Study	A cortical shape-adaptive approach to local gyrification index.	Medical image analysis	Lyu, Ilwoo; Kim, Sun Hyung; Girault, Jessica B; Gilmore, John H; Styner, Martin A	August 2018	Not Determined
29700891	Create Study	Discovering cortical sulcal folding patterns in neonates using large-scale dataset.	Human brain mapping	Meng, Yu; Li, Gang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang	September 2018	Not Determined
29673965	Create Study	A review on neuroimaging studies of genetic and environmental influences on early brain development.	NeuroImage	Gao, Wei; Grewen, Karen; Knickmeyer, Rebecca C; Qiu, Anqi; Salzwedel, Andrew; Lin, Weili; Gilmore, John H	January 2019	Not Determined
29574734	Create Study	Commentary: The neonatal brain and the challenge of imaging biomarkers, reflections on Batalle et al. (2018).	Journal of child psychology and psychiatry, and allied disciplines	Gilmore, John H	April 1, 2018	Not Determined
29516625	Create Study	Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism.	Human brain mapping	Wang, Li; Li, Gang; Adeli, Ehsan; Liu, Mingxia; Wu, Zhengwang; Meng, Yu; Lin, Weili; Shen, Dinggang	June 2018	Not Determined
29449712	Create Study	Imaging structural and functional brain development in early childhood.	Nature reviews. Neuroscience	Gilmore, John H; Knickmeyer, Rebecca C; Gao, Wei	February 2018	Not Determined
29332986	Create Study	FADTTSter: Accelerating Hypothesis Testing With Functional Analysis of Diffusion Tensor Tract Statistics.	Proceedings of SPIE--the International Society for Optical Engineering	Noel, Jean; Prieto, Juan C; Styner, Martin	March 2017	Not Determined
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28945591	Create Study	Skeletal Shape Correspondence Through Entropy.	IEEE transactions on medical imaging	Tu, Liyun; Styner, Martin; Vicory, Jared; Elhabian, Shireen; Wang, Rui; Hong, Junpyo; Paniagua, Beatriz; Prieto, Juan C; Yang, Dan; Whitaker, Ross; Pizer, Stephen M	January 2018	Not Determined
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28793975	Create Study	Infant Gut Microbiome Associated With Cognitive Development.	Biological psychiatry	Carlson, Alexander L; Xia, Kai; Azcarate-Peril, M Andrea; Goldman, Barbara D; Ahn, Mihye; Styner, Martin A; Thompson, Amanda L; Geng, Xiujuan; Gilmore, John H; Knickmeyer, Rebecca C	January 2018	Not Determined
28763065	Create Study	Genome-wide association analysis identifies common variants influencing infant brain volumes.	Translational psychiatry	Xia, K; Zhang, J; Ahn, M; Jha, S; Crowley, J J; Szatkiewicz, J; Li, T; Zou, F; Zhu, H; Hibar, D; Thompson, P; ENIGMA Consortium; Sullivan, P F; Styner, M; Gilmore, J H; Knickmeyer, R C	August 2017	Not Determined
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27380969	Create Study	Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.	Human brain mapping	Meng Y, Li G, Gao Y, Lin W, Shen D	November 2016	Not Relevant
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26635584	Create Study	Network-Level Connectivity Dynamics of Movie Watching in 6-Year-Old Children.	Frontiers in human neuroscience	Emerson, Robert W; Short, Sarah J; Lin, Weili; Gilmore, John H; Gao, Wei	January 1, 2015	Not Determined
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26612964	Create Study	Early Postnatal Myelin Content Estimate of White Matter via T1w/T2w Ratio.	Proceedings of SPIE--the International Society for Optical Engineering	Lee, Kevin; Cherel, Marie; Budin, Francois; Gilmore, John; Consing, Kirsten Zaldarriaga; Rasmussen, Jerod; Wadhwa, Pathik D; Entringer, Sonja; Glasser, Matthew F; Van Essen, David C; Buss, Claudia; Styner, Martin	2015	Not Relevant
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26133617	Create Study	Hierarchical and symmetric infant image registration by robust longitudinal-example-guided correspondence detection.	Medical physics	Wu, Yao; Wu, Guorong; Wang, Li; Munsell, Brent C; Wang, Qian; Lin, Weili; Feng, Qianjin; Chen, Wufan; Shen, Dinggang	July 2015	Not Determined
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26085637	Create Study	Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age.	The Journal of neuroscience : the official journal of the Society for Neuroscience	Li, Gang; Lin, Weili; Gilmore, John H; Shen, Dinggang	June 17, 2015	Not Determined
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25700954	Create Study	Quantitative tract-based white matter heritability in twin neonates.	NeuroImage	Lee SJ, Steiner RJ, Luo S, Neale MC, Styner M, Zhu H, Gilmore JH	May 1, 2015	Not Determined
25541188	Create Study	LINKS: learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.	NeuroImage	Wang, Li; Gao, Yaozong; Shi, Feng; Li, Gang; Gilmore, John H; Lin, Weili; Shen, Dinggang	March 2015	Not Determined
25459875	Create Study	Frequency of spontaneous BOLD signal shifts during infancy and correlates with cognitive performance.	Developmental cognitive neuroscience	Alcauter S, Lin W, Smith JK, Goldman BD, Reznick JS, Gilmore JH, Gao W	April 2015	Not Determined
25362539	Create Study	Cortical thickness and surface area in neonates at high risk for schizophrenia.	Brain structure & function	Li, Gang; Wang, Li; Shi, Feng; Lyall, Amanda E; Ahn, Mihye; Peng, Ziwen; Zhu, Hongtu; Lin, Weili; Gilmore, John H; Shen, Dinggang	January 2016	Not Determined
25356196	Create Study	A JOINT FRAMEWORK FOR 4D SEGMENTATION AND ESTIMATION OF SMOOTH TEMPORAL APPEARANCE CHANGES.	Proceedings. IEEE International Symposium on Biomedical Imaging	Gao, Yang; Prastawa, Marcel; Styner, Martin; Piven, Joseph; Gerig, Guido	April 2014	Not Relevant
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24945660	Create Study	Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.	NeuroImage	Meng, Yu; Li, Gang; Lin, Weili; Gilmore, John H; Shen, Dinggang	October 15, 2014	Not Determined
24837031	Create Study	Rate of Chiari I malformation in children of mothers with depression with and without prenatal SSRI exposure.	Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology	Knickmeyer, Rebecca C; Meltzer-Brody, Samantha; Woolson, Sandra; Hamer, Robert M; Smith, J Keith; Lury, Kenneth; Gilmore, John H	October 2014	Not Determined
24683971	Create Study	A longitudinal functional analysis framework for analysis of white matter tract statistics.	Information processing in medical imaging : proceedings of the ... conference	Yuan, Ying; Gilmore, John H; Geng, Xiujuan; Styner, Martin A; Chen, Kehui; Wang, Jane-Ling; Zhu, Hongtu	2013	Not Determined
24647943	Create Study	Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age.	The Journal of neuroscience : the official journal of the Society for Neuroscience	Li G, Wang L, Shi F, Lyall AE, Lin W, Gilmore JH, Shen D	March 19, 2014	Not Determined
24638883	Create Study	Neonatal atlas construction using sparse representation.	Human brain mapping	Shi, Feng; Wang, Li; Wu, Guorong; Li, Gang; Gilmore, John H; Lin, Weili; Shen, Dinggang	September 2014	Not Determined
24591525	Create Study	Dynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood.	Cerebral cortex (New York, N.Y. : 1991)	Lyall AE, Shi F, Geng X, Woolson S, Li G, Wang L, Hamer RM, Shen D, Gilmore JH	August 2015	Not Determined
24579119	Create Study	Geodesic distances to landmarks for dense correspondence on ensembles of complex shapes.	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention	Datar, Manasi; Lyu, Ilwoo; Kim, SunHyung; Cates, Joshua; Styner, Martin A; Whitaker, Ross	2013	Not Relevant
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24533040	Create Study	VARYING COEFFICIENT MODEL FOR MODELING DIFFUSION TENSORS ALONG WHITE MATTER TRACTS.	The annals of applied statistics	Yuan, Ying; Zhu, Hongtu; Styner, Martin; Gilmore, John H; Marron, J S	March 2013	Not Relevant
24523693	Create Study	DTIPrep: quality control of diffusion-weighted images.	Frontiers in neuroinformatics	Oguz, Ipek; Farzinfar, Mahshid; Matsui, Joy; Budin, Francois; Liu, Zhexing; Gerig, Guido; Johnson, Hans J; Styner, Martin	January 1, 2014	Not Determined
24469153	Create Study	Development of human brain cortical network architecture during infancy.	Brain structure & function	Gao W, Alcauter S, Smith JK, Gilmore JH, Lin W	March 2015	Not Determined
24443698	Create Study	MODELING LONGITUDINAL MRI CHANGES IN POPULATIONS USING A LOCALIZED, INFORMATION-THEORETIC MEASURE OF CONTRAST.	Proceedings. IEEE International Symposium on Biomedical Imaging	Vardhan, Avantika; Prastawa, Marcel; Sharma, Anuja; Piven, Joseph; Gerig, Guido	December 31, 2013	Not Relevant
24443688	Create Study	SPATIOTEMPORAL MODELING OF DISCRETE-TIME DISTRIBUTION-VALUED DATA APPLIED TO DTI TRACT EVOLUTION IN INFANT NEURODEVELOPMENT.	Proceedings. IEEE International Symposium on Biomedical Imaging	Sharma, Anuja; Fletcher, P Thomas; Gilmore, John H; Escolar, Maria L; Gupta, Aditya; Styner, Martin; Gerig, Guido	December 31, 2013	Not Relevant
24443681	Create Study	LONGITUDINAL GROWTH MODELING OF DISCRETE-TIME FUNCTIONS WITH APPLICATION TO DTI TRACT EVOLUTION IN EARLY NEURODEVELOPMENT.	Proceedings. IEEE International Symposium on Biomedical Imaging	Sharma, Anuja; Durrleman, Stanley; Gilmore, John H; Gerig, Guido	December 31, 2013	Not Relevant
24409141	Create Study	UNC-Utah NA-MIC framework for DTI fiber tract analysis.	Frontiers in neuroinformatics	Verde, Audrey R; Budin, Francois; Berger, Jean-Baptiste; Gupta, Aditya; Farzinfar, Mahshid; Kaiser, Adrien; Ahn, Mihye; Johnson, Hans; Matsui, Joy; Hazlett, Heather C; Sharma, Anuja; Goodlett, Casey; Shi, Yundi; Gouttard, Sylvain; Vachet, Clement; Piven, Joseph; Zhu, Hongtu; Gerig, Guido; Styner, Martin	January 1, 2014	Not Determined
24374075	Create Study	Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces.	NeuroImage	Li G, Nie J, Wang L, Shi F, Gilmore JH, Lin W, Shen D	April 15, 2014	Not Determined
24291615	Create Study	Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation.	NeuroImage	Wang, Li; Shi, Feng; Gao, Yaozong; Li, Gang; Gilmore, John H; Lin, Weili; Shen, Dinggang	April 2014	Not Determined
24269800	Create Study	SGPP: spatial Gaussian predictive process models for neuroimaging data.	NeuroImage	Hyun, Jung Won; Li, Yimei; Gilmore, John H; Lu, Zhaohua; Styner, Martin; Zhu, Hongtu	April 1, 2014	Not Determined
24248433	Create Study	Consistent anterior-posterior segregation of the insula during the first 2 years of life.	Cerebral cortex (New York, N.Y. : 1991)	Alcauter S, Lin W, Keith Smith J, Gilmore JH, Gao W	May 2015	Not Determined
24076225	Create Study	FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data.	NeuroImage	Yuan Y, Gilmore JH, Geng X, Martin S, Chen K, Wang JL, Zhu H	January 1, 2014	Not Determined
23999084	Create Study	STATISTICAL GROWTH MODELING OF LONGITUDINAL DT-MRI FOR REGIONAL CHARACTERIZATION OF EARLY BRAIN DEVELOPMENT.	Proceedings. IEEE International Symposium on Biomedical Imaging	Sadeghi, Neda; Prastawa, Marcel; Fletcher, P Thomas; Gilmore, John H; Lin, Weili; Gerig, Guido	2012	Not Relevant
23968736	Create Study	Segmentation of neonatal brain MR images using patch-driven level sets.	NeuroImage	Wang, Li; Shi, Feng; Li, Gang; Gao, Yaozong; Lin, Weili; Gilmore, John H; Shen, Dinggang	January 1, 2014	Not Relevant
23959506	Create Study	MULTIVARIATE MODELING OF LONGITUDINAL MRI IN EARLY BRAIN DEVELOPMENT WITH CONFIDENCE MEASURES.	Proceedings. IEEE International Symposium on Biomedical Imaging	Sadeghi, Neda; Prastawa, Marcel; Fletcher, P Thomas; Vachet, Clement; Wang, Bo; Gilmore, John; Gerig, Guido	2013	Not Relevant
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23833547	Create Study	DTI Quality Control Assessment via Error Estimation From Monte Carlo Simulations.	Proceedings of SPIE--the International Society for Optical Engineering	Farzinfar, Mahshid; Li, Yin; Verde, Audrey R; Oguz, Ipek; Gerig, Guido; Styner, Martin A	March 13, 2013	Not Relevant
23689636	Create Study	Impact of sex and gonadal steroids on neonatal brain structure.	Cerebral cortex (New York, N.Y. : 1991)	Knickmeyer, Rebecca C; Wang, Jiaping; Zhu, Hongtu; Geng, Xiujuan; Woolson, Sandra; Hamer, Robert M; Konneker, Thomas; Styner, Martin; Gilmore, John H	October 2014	Not Determined
23684874	Create Study	Diffusion imaging quality control via entropy of principal direction distribution.	NeuroImage	Farzinfar M, Oguz I, Smith RG, Verde AR, Dietrich C, Gupta A, Escolar ML, Piven J, Pujol S, Vachet C, Gouttard S, Gerig G, Dager S, McKinstry RC, Paterson S, Evans AC, IBIS network, Styner MA	November 15, 2013	Not Relevant
23606800	Create Study	Lateral ventricle morphology analysis via mean latitude axis.	Proceedings of SPIE--the International Society for Optical Engineering	Paniagua, Beatriz; Lyall, Amanda; Berger, Jean-Baptiste; Vachet, Clement; Hamer, Robert M; Woolson, Sandra; Lin, Weili; Gilmore, John; Styner, Martin	March 29, 2013	Not Relevant
23455648	Create Study	More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines.	Brain structure & function	Chen, Yasheng; Zhu, Hongtu; An, Hongyu; Armao, Diane; Shen, Dinggang; Gilmore, John H; Lin, Weili	March 2014	Not Relevant
23357075	Create Study	Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data.	NeuroImage	Li, Yimei; Gilmore, John H; Shen, Dinggang; Styner, Martin; Lin, Weili; Zhu, Hongtu	May 15, 2013	Not Relevant
23307634	Create Study	Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of age.	Cerebral cortex (New York, N.Y. : 1991)	Li G, Nie J, Wang L, Shi F, Lyall AE, Lin W, Gilmore JH, Shen D	May 2014	Not Determined
23294031	Create Study	Graph theoretical analysis of sedation''s effect on whole brain functional system in school-aged children.	Brain connectivity	Wei, Zhen; Alcauter, Sarael; Jin, Ke; Peng, Zi-Wen; Gao, Wei	2013	Not Relevant
23283688	Create Study	Common variants in psychiatric risk genes predict brain structure at birth.	Cerebral cortex (New York, N.Y. : 1991)	Knickmeyer, Rebecca C; Wang, Jiaping; Zhu, Hongtu; Geng, Xiujuan; Woolson, Sandra; Hamer, Robert M; Konneker, Thomas; Lin, Weili; Styner, Martin; Gilmore, John H	May 2014	Not Determined
23235270	Create Study	Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain.	NeuroImage	Sadeghi, Neda; Prastawa, Marcel; Fletcher, P Thomas; Wolff, Jason; Gilmore, John H; Gerig, Guido	March 2013	Not Relevant
23223157	Create Study	SPATIAL INTENSITY PRIOR CORRECTION FOR TISSUE SEGMENTATION IN THE DEVELOPING HUMAN BRAIN.	Proceedings. IEEE International Symposium on Biomedical Imaging	Kim, Sun Hyung; Fonov, Vladimir; Piven, Joe; Gilmore, John; Vachet, Clement; Gerig, Guido; Collins, D Louis; Styner, Martin; The IBIS Network	2011	Not Relevant
23049751	Create Study	4D multi-modality tissue segmentation of serial infant images.	PloS one	Wang, Li; Shi, Feng; Yap, Pew-Thian; Gilmore, John H; Lin, Weili; Shen, Dinggang	2012	Not Relevant
23032117	Create Study	Adaptive prior probability and spatial temporal intensity change estimation for segmentation of the one-year-old human brain.	Journal of neuroscience methods	Kim SH, Fonov VS, Dietrich C, Vachet C, Hazlett HC, Smith RG, Graves MM, Piven J, Gilmore JH, Dager SR, Mckinstry RC, Paterson S, Evans AC, Collins DL, Gerig G, Styner MA,	January 2013	Not Determined
22989623	Create Study	Associations between white matter microstructure and infants'' working memory.	NeuroImage	Short, Sarah J; Elison, Jed T; Goldman, Barbara Davis; Styner, Martin; Gu, Hongbin; Connelly, Mark; Maltbie, Eric; Woolson, Sandra; Lin, Weili; Gerig, Guido; Reznick, J Steven; Gilmore, John H	January 1, 2013	Relevant
22923087	Create Study	Mapping region-specific longitudinal cortical surface expansion from birth to 2 years of age.	Cerebral cortex (New York, N.Y. : 1991)	Li G, Nie J, Wang L, Shi F, Lin W, Gilmore JH, Shen D	November 2013	Not Relevant
22856369	Create Study	White matter heritability using diffusion tensor imaging in neonatal brains.	Twin research and human genetics : the official journal of the International Society for Twin Studies	Geng, Xiujuan; Prom-Wormley, Elizabeth C; Perez, Javier; Kubarych, Thomas; Styner, Martin; Lin, Weili; Neale, Michael C; Gilmore, John H	June 2012	Not Determined
22732565	Create Study	Semiparametric Bayesian local functional models for diffusion tensor tract statistics.	NeuroImage	Hua, Zhaowei; Dunson, David B; Gilmore, John H; Styner, Martin A; Zhu, Hongtu	October 15, 2012	Not Relevant
22634859	Create Study	LABEL: pediatric brain extraction using learning-based meta-algorithm.	NeuroImage	Shi, Feng; Wang, Li; Dai, Yakang; Gilmore, John H; Lin, Weili; Shen, Dinggang	September 2012	Relevant
22613620	Create Study	Altered structural connectivity in neonates at genetic risk for schizophrenia: a combined study using morphological and white matter networks.	NeuroImage	Shi, Feng; Yap, Pew-Thian; Gao, Wei; Lin, Weili; Gilmore, John H; Shen, Dinggang	September 2012	Not Relevant
22510254	Create Study	Quantitative tract-based white matter development from birth to age 2years.	NeuroImage	Geng X, Gouttard S, Sharma A, Gu H, Styner M, Lin W, Gerig G, Gilmore JH	July 2, 2012	Not Relevant
22287236	Create Study	TwinMARM: two-stage multiscale adaptive regression methods for twin neuroimaging data.	IEEE transactions on medical imaging	Li, Yimei; Gilmore, John H; Wang, Jiaping; Styner, Martin; Lin, Weili; Zhu, Hongtu	May 2012	Not Determined
22275483	Create Study	Diffusion tensor imaging-based characterization of brain neurodevelopment in primates.	Cerebral cortex (New York, N.Y. : 1991)	Shi, Yundi; Short, Sarah J; Knickmeyer, Rebecca C; Wang, Jiaping; Coe, Christopher L; Niethammer, Marc; Gilmore, John H; Zhu, Hongtu; Styner, Martin A	January 2013	Not Relevant
22140029	Create Study	Longitudinally guided level sets for consistent tissue segmentation of neonates.	Human brain mapping	Wang, Li; Shi, Feng; Yap, Pew-Thian; Lin, Weili; Gilmore, John H; Shen, Dinggang	April 2013	Not Determined
22109543	Create Study	Longitudinal development of cortical and subcortical gray matter from birth to 2 years.	Cerebral cortex (New York, N.Y. : 1991)	Gilmore, John H; Shi, Feng; Woolson, Sandra L; Knickmeyer, Rebecca C; Short, Sarah J; Lin, Weili; Zhu, Hongtu; Hamer, Robert M; Styner, Martin; Shen, Dinggang	November 2012	Not Relevant
22047969	Create Study	A computational growth model for measuring dynamic cortical development in the first year of life.	Cerebral cortex (New York, N.Y. : 1991)	Nie J, Li G, Wang L, Gilmore JH, Lin W, Shen D	October 2012	Not Relevant
22003714	Create Study	Learning-based meta-algorithm for MRI brain extraction.	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention	Shi, Feng; Wang, Li; Gilmore, John H; Lin, Weili; Shen, Dinggang	2011	Not Relevant
21966479	Create Study	Temporal and spatial evolution of brain network topology during the first two years of life.	PloS one	Gao, Wei; Gilmore, John H; Giovanello, Kelly S; Smith, Jeffery Keith; Shen, Dinggang; Zhu, Hongtu; Lin, Weili	2011	Not Relevant
21941523	Create Study	Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs.	International journal of biomedical imaging	Ha, Linh; Prastawa, Marcel; Gerig, Guido; Gilmore, John H; Silva, Cláudio T; Joshi, Sarang	2011	Not Relevant
21860598	Create Study	Multiscale Adaptive Regression Models for Neuroimaging Data.	Journal of the Royal Statistical Society. Series B, Statistical methodology	Li, Yimei; Zhu, Hongtu; Shen, Dinggang; Lin, Weili; Gilmore, John H; Ibrahim, Joseph G	September 2011	Not Relevant
21784163	Create Study	Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.	NeuroImage	Chen, Yasheng; An, Hongyu; Zhu, Hongtu; Jewells, Valerie; Armao, Diane; Shen, Dinggang; Gilmore, John H; Lin, Weili	October 15, 2011	Not Relevant
21664359	Create Study	2D:4D ratios in the first 2 years of life: Stability and relation to testosterone exposure and sensitivity.	Hormones and behavior	Knickmeyer, Rebecca C; Woolson, Sandra; Hamer, Robert M; Konneker, Thomas; Gilmore, John H	August 2011	Not Relevant
21623657	Create Study	Twin-singleton differences in neonatal brain structure.	Twin research and human genetics : the official journal of the International Society for Twin Studies	Knickmeyer, Rebecca C; Kang, Chaeryon; Woolson, Sandra; Smith, J Keith; Hamer, Robert M; Lin, Weili; Gerig, Guido; Styner, Martin; Gilmore, John H	June 2011	Not Relevant
21533194	Create Study	Infant brain atlases from neonates to 1- and 2-year-olds.	PloS one	Shi, Feng; Yap, Pew-Thian; Wu, Guorong; Jia, Hongjun; Gilmore, John H; Lin, Weili; Shen, Dinggang	2011	Not Relevant
21335092	Create Study	FADTTS: functional analysis of diffusion tensor tract statistics.	NeuroImage	Zhu, Hongtu; Kong, Linglong; Li, Runze; Styner, Martin; Gerig, Guido; Lin, Weili; Gilmore, John H	June 1, 2011	Not Determined
20690143	Create Study	CENTS: cortical enhanced neonatal tissue segmentation.	Human brain mapping	Shi, Feng; Shen, Dinggang; Yap, Pew-Thian; Fan, Yong; Cheng, Jie-Zhi; An, Hongyu; Wald, Lawrence L; Gerig, Guido; Gilmore, John H; Lin, Weili	March 2011	Not Relevant
20650319	Create Study	Brain anatomical networks in early human brain development.	NeuroImage	Fan, Yong; Shi, Feng; Smith, Jeffrey Keith; Lin, Weili; Gilmore, John H; Shen, Dinggang	February 1, 2011	Not Relevant
20171290	Create Study	Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation.	NeuroImage	Shi, Feng; Yap, Pew-Thian; Fan, Yong; Gilmore, John H; Lin, Weili; Shen, Dinggang	June 2010	Not Relevant
20063301	Create Study	Genetic and environmental contributions to neonatal brain structure: A twin study.	Human brain mapping	Gilmore, John H; Schmitt, James Eric; Knickmeyer, Rebecca C; Smith, Jeffrey K; Lin, Weili; Styner, Martin; Gerig, Guido; Neale, Michael C	August 2010	Not Relevant

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	292	07/15/2011	0	05/31/2016	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
Imaging (Structural, fMRI, DTI, PET, microscopy)	594	07/15/2011	248	05/31/2016	248	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	AbstractFilter by Abstract	Collection/Study SubjectsFilter by Collection/Study Subjects	Data UsageFilter by Data Usage	StateFilter by State
A human craniofacial life-course: cross-sectional morphological covariations during postnatal growth, adolescence, and aging	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.	1/308	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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