NIMH Data Archive - Data

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¹ Numbers reported are subjects by age

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

Collection - Use Existing Experiment

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

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

Select	Experiment Id	Experiment Name	Experiment Type	Created On

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

Collection - Add Experiment

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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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Early Biomarkers of Autism Spectrum Disorders in infants with Tuberous Sclerosis #2008

General
Experiments (5)
Shared Data
Publications (98)
Data Expected (13)
Associated Studies (6)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Early Biomarkers of Autism Spectrum Disorders in infants with Tuberous Sclerosis
Collection Investigators:	Mustafa Sahin
Collection Description:	Autism Spectrum Disorders (ASD) has complex and varying etiologies. A lack of understanding regarding the underlying molecular and cellular mechanisms is a key barrier in finding effective treatments. Single-gene disorders that have a high prevalence of ASD provide unique opportunities to investigate the underlying biology and test treatments for autism. Tuberous Sclerosis Complex (TSC) is a genetic disorder in which approximately 50% of individuals are also affected with ASD. Importantly, TSC can be diagnosed before or at the time of birth, and thus infants with TSC allow us to observe prospectively the natural history of ASD and develop better tools for early detection of autism. On a molecular level, TSC disease manifestations result from the aberrant hyperactivity of mTOR that is caused by mutation in one of two TSC genes. Pharmacologic mTOR inhibition to correct the cellular defects in TSC is no longer a hope for the future, but rather an exciting reality with proven efficacy against various TSC disease manifestations. To determine the potential benefit these agents may have in treating or preventing ASD, it is imperative to identify early markers of autism in infants with TSC, so as to not put young children who will not develop ASD at unnecessary risk. Accumulating clinical and basic science evidence suggests that aberrant white matter connectivity represents a rational candidate as a biomarker in TSC. TSC mouse models demonstrate defects in the specification, guidance, and myelination of axons. More importantly, several groups have reported abnormalities in the normal-appearing white matter of TSC patients that can be identified by MR imaging, and loss of white matter microstructural integrity is associated with neurological and cognitive deficits. Furthermore, there is preliminary data indicating that white matter integrity can be improved by treatment with mTOR inhibitors in both animal models and in TSC patients. Taken together, these findings lead to the hypothesis that longitudinal assessment of white matter integrity and neural connectivity in TSC infants, through advanced MRI and EEG analysis, can be used as an early biomarker of subsequent ASD in this genetic disease. This proposal aims to establish a consortium of five Children's Hospitals that are geographically-distributed throughout the US to recruit TSC patients in the first year of life to test this hypothesis. State of the art imaging with 3 Tesla MRI scanners, advanced EEG technology, validated neurodevelopmental assessment tools, genetic analysis, and standardized clinical measures through age 36 months will be utilized. The clinical consortium will be supported by a centralized Data Coordinating Center with experience in another rare disease (neurofibromatosis). Collaboration with Leadership Education in Neurodevelopmental and Related Disabilities (LEND) programs at each center will provide additional interdisciplinary research training and education expertise in ASD and TSC. As a result of the research outlined in this proposal, better understanding of brain connectivity and its relationship to ASD in TSC will pave the way for new interventions for this and related causes of autism.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	10/22/2012
NIH Research Initiative:	Autism Centers of Excellence (ACE)
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$13,349,935.00
Subjects Shared:	164
Collection DOI:	10.15154/n61c-ag31

{"values":[]}

{"values":[["MRI",43],["DTI",43]]}

{"values":[["Not Defined",268]]}

Loading Chart...

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
U01NS082320-01	Early Biomarkers of Autism Spectrum Disorders in infants with Tuberous Sclerosis	09/01/2012	08/31/2019	08/31/2019	165	146	BOSTON CHILDRENS HOSPITAL	$13,349,935.00

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
112	UCLA-Cincinnati EEG	11/18/2013	Approved	EEG
117	Boston EEGs	01/09/2014	Approved	EEG
118	Houston EEGs	01/09/2014	Approved	EEG
119	Birmingham	01/13/2014	Approved	EEG
120	Cincinnati EEGs	01/13/2014	Approved	EEG

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
ACE Family Medical History	Clinical Assessments	160
ACE Subject Medical History	Clinical Assessments	160
ACE Subject Physical Exam	Clinical Assessments	160
Child Behavior Checklist (CBCL) 1-5	Clinical Assessments	146
Classification of Seizures	Clinical Assessments	160
Demographics	Clinical Assessments	161
EEG Subject Files	Imaging	162
Early Social Communication Scale (ESCS)	Clinical Assessments	151
Image	Imaging	135
Interval Medical History	Clinical Assessments	155
Mullen Scales of Early Learning	Clinical Assessments	158
Preschool Language Scales Fifth edition (PLS-5)	Clinical Assessments	158
Research Subject	Clinical Assessments	163
Summary of Seizure Diary counts	Clinical Assessments	154
Vineland-II - Survey Form (2005)	Clinical Assessments	154

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
41258699	Create Study	Convolutional neural networks for automatic tuber segmentation and quantification of tuber burden in tuberous sclerosis complex.	Epilepsia	Sánchez Fernández, Iván; Soldatelli, Matheus D; Miller, Gillian N; Gout, Catharina F; Broekhuizen, Ellen C; den Hertog, Iris C J; Pijs, Daan A; Apostolopoulos, Errol; Kaur, Prabhjot; Ouaalam, Abdelhakim; Bebin, Martina E; Northrup, Hope; Krueger, Darcy A; Wu, Joyce Y; Cohen, Alexander L; Sahin, Mustafa; Karimi, Davood; Warfield, Simon K; Peters, Jurriaan M; TACERN Study Group and the Developmental Synaptopathies Consortium–RDCRN Study Group	February 1, 2026	Not Determined
40774147	Create Study	Developmental Trajectories of Adaptive Functioning and Behavior Problems in Children With Co-Occurring Tuberous Sclerosis Complex and Autism Spectrum Disorder, With and Without Seizures.	Pediatric neurology	Goodman, Lynnel C; Richard, Melissa A; Woodhouse, John P; Ihnen, S Katie Z; Capal, Jamie K; Northrup, Hope; Krueger, Darcy A; Bebin, E Martina; Wu, Joyce Y; Sahin, Mustafa; Pearson, Deborah A; TACERN Study Group	October 1, 2025	Not Determined
39470995	Create Study	Accumulated seizure burden predicts neurodevelopmental outcome at 36 months of age in patients with tuberous sclerosis complex.	Epilepsia	Ihnen, S Katie Z; Alperin, Samuel; Capal, Jamie K; Cohen, Alexander L; Peters, Jurriaan M; Bebin, E Martina; Northrup, Hope A; Sahin, Mustafa; Krueger, Darcy A; TACERN Study Group	January 1, 2025	Not Determined
38751192	Create Study	Abnormality of Early White Matter Development in Tuberous Sclerosis Complex and Autism Spectrum Disorder: Longitudinal Analysis of Diffusion Tensor Imaging Measures.	Journal of child neurology	Srivastava, Siddharth; Yang, Fanghan; Prohl, Anna K; Davis, Peter E; Capal, Jamie K; Filip-Dhima, Rajna; Bebin, E Martina; Krueger, Darcy A; Northrup, Hope; Wu, Joyce Y; Warfield, Simon K; Sahin, Mustafa; Zhang, Bo; TACERN Study Group	May 1, 2024	Not Determined
38366765	Create Study	Common epilepsy variants from the general population are not associated with epilepsy among individuals with tuberous sclerosis complex.	American journal of medical genetics. Part A	Richard, Melissa A; Lupo, Philip J; Ehli, Erik A; Sahin, Mustafa; Krueger, Darcy A; Wu, Joyce Y; Bebin, Elizabeth M; Au, Kit Sing; Northrup, Hope; Farach, Laura S; TACERN Study Group	June 1, 2024	Not Determined
37119787	Create Study	Epilepsy Severity Is Associated With Head Circumference and Growth Rate in Infants With Tuberous Sclerosis Complex.	Pediatric neurology	Levine, Alexis; Davis, Peter; Zhang, Bo; Peters, Jurriaan; Filip-Dhima, Rajna; Warfield, Simon K; Prohl, Anna; Capal, Jamie; Krueger, Darcy; Bebin, E Martina; Northrup, Hope; Wu, Joyce Y; Sahin, Mustafa; TACERN Study Group	July 1, 2023	Not Determined
36394118	Create Study	Tubers Affecting the Fusiform Face Area Are Associated with Autism Diagnosis.	Annals of neurology	Cohen, Alexander L; Kroeck, Mallory R; Wall, Juliana; McManus, Peter; Ovchinnikova, Arina; Sahin, Mustafa; Krueger, Darcy A; Bebin, E Martina; Northrup, Hope; Wu, Joyce Y; Warfield, Simon K; Peters, Jurriaan M; Fox, Michael D; Tuberous Sclerosis Complex Autism Center of Excellence Network Study Group	March 1, 2023	Not Determined
35729081	Create Study	Limited utility of structural MRI to identify the epileptogenic zone in young children with tuberous sclerosis.	Journal of neuroimaging : official journal of the American Society of Neuroimaging	Nijman, Maaike; Yang, Edward; Jaimes, Camilo; Prohl, Anna K; Sahin, Mustafa; Krueger, Darcy A; Wu, Joyce Y; Northrup, Hope; Stone, Scellig S D; Madsen, Joseph R; Fallah, Aria; Blount, Jeffrey P; Weiner, Howard L; Grayson, Leslie; Bebin, E Martina; Porter, Brenda E; Warfield, Simon K; Prabhu, Sanjay P; Peters, Jurriaan M; TACERN Study Group	September 1, 2022	Not Determined
34668231	Create Study	Profile of Autism Spectrum Disorder in Tuberous Sclerosis Complex: Results from a Longitudinal, Prospective, Multisite Study.	Annals of neurology	Capal, Jamie K; Williams, Marian E; Pearson, Deborah A; Kissinger, Robin; Horn, Paul S; Murray, Donna; Currans, Kristn; Kent, Bridget; Bebin, Martina; Northrup, Hope; Wu, Joyce Y; Sahin, Mustafa; Krueger, Darcy A; TACERN Study Group	December 1, 2021	Not Determined
34343869	Create Study	Epilepsy Is Heterogeneous in Early-Life Tuberous Sclerosis Complex.	Pediatric neurology	Ihnen, S Katie Z; Capal, Jamie K; Horn, Paul S; Griffith, Molly; Sahin, Mustafa; Bebin, E Martina; Wu, Joyce Y; Northrup, Hope; Krueger, Darcy A; TACERN study group	October 1, 2021	Not Determined
33410532	Create Study	Tuber Locations Associated with Infantile Spasms Map to a Common Brain Network.	Annals of neurology	Cohen, Alexander L; Mulder, Brechtje P F; Prohl, Anna K; Soussand, Louis; Davis, Peter; Kroeck, Mallory R; McManus, Peter; Gholipour, Ali; Scherrer, Benoit; Bebin, E Martina; Wu, Joyce Y; Northrup, Hope; Krueger, Darcy A; Sahin, Mustafa; Warfield, Simon K; Fox, Michael D; Peters, Jurriaan M; Tuberous Sclerosis Complex Autism Center of Excellence Network Study Group	April 1, 2021	Not Determined
33011641	Create Study	Epilepsy Risk Prediction Model for Patients With Tuberous Sclerosis Complex.	Pediatric neurology	Farach, Laura S; Richard, Melissa A; Lupo, Philip J; Sahin, Mustafa; Krueger, Darcy A; Wu, Joyce Y; Bebin, Elizabeth M; Au, Kit Sing; Northrup, Hope; TACERN Study Group	December 1, 2020	Not Determined
32927206	Create Study	Scalp EEG interictal high frequency oscillations as an objective biomarker of infantile spasms.	Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology	Nariai, Hiroki; Hussain, Shaun A; Bernardo, Danilo; Motoi, Hirotaka; Sonoda, Masaki; Kuroda, Naoto; Asano, Eishi; Nguyen, Jimmy C; Elashoff, David; Sankar, Raman; Bragin, Anatol; Staba, Richard J; Wu, Joyce Y	November 1, 2020	Not Determined
32418847	Create Study	Pilot Study of Neurodevelopmental Impact of Early Epilepsy Surgery in Tuberous Sclerosis Complex.	Pediatric neurology	Grayson, Leslie E; Peters, Jurriaan M; McPherson, Tarrant; Krueger, Darcy A; Sahin, Mustafa; Wu, Joyce Y; Northrup, Hope A; Porter, Brenda; Cutter, Gary R; O'Kelley, Sarah E; Krefting, Jessica; Stone, Scellig S; Madsen, Joseph R; Fallah, Aria; Blount, Jeffrey P; Weiner, Howard L; Bebin, E Martina; TACERN Study Group	August 2020	Not Determined
32348367	Create Study	Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex.	PloS one	Sánchez Fernández, Iván; Yang, Edward; Calvachi, Paola; Amengual-Gual, Marta; Wu, Joyce Y; Krueger, Darcy; Northrup, Hope; Bebin, Martina E; Sahin, Mustafa; Yu, Kun-Hsing; Peters, Jurriaan M; TACERN Study Group	January 2020	Not Determined
32133630	Create Study	Scalp electroencephalographic spikes predict impending epilepsy in tuberous sclerosis complex infants: A longitudinal observational study.	Epilepsia	Molinero, Isaac; Ferastraoaru, Victor; Boro, Alexis; Moshé, Solomon L	April 1, 2020	Not Determined
31864941	Create Study	Language predictors of autism spectrum disorder in young children with tuberous sclerosis complex.	Epilepsy & behavior : E&B	Schoenberger, Alexandra; Capal, Jamie K; Ondracek, Annie; Horn, Paul S; Murray, Donna; Byars, Anna Weber; Pearson, Deborah A; Williams, Marian E; Bebin, Martina; Northrup, Hope; Wu, Joyce Y; Sahin, Mustafa; Krueger, Darcy A	February 2020	Not Determined
31838998	Create Study	Early white matter development is abnormal in tuberous sclerosis complex patients who develop autism spectrum disorder.	Journal of neurodevelopmental disorders	Prohl, Anna K; Scherrer, Benoit; Tomas-Fernandez, Xavier; Davis, Peter E; Filip-Dhima, Rajna; Prabhu, Sanjay P; Peters, Jurriaan M; Bebin, E Martina; Krueger, Darcy A; Northrup, Hope; Wu, Joyce Y; Sahin, Mustafa; Warfield, Simon K; TACERN Study Group	December 2019	Not Determined
31812987	Create Study	The Connectivity Fingerprint of the Fusiform Gyrus Captures the Risk of Developing Autism in Infants with Tuberous Sclerosis Complex.	Cerebral cortex (New York, N.Y. : 1991)	Scherrer, Benoit; Prohl, Anna K; Taquet, Maxime; Kapur, Kush; Peters, Jurriaan M; Tomas-Fernandez, Xavier; Davis, Peter E; M Bebin, Elizabeth; Krueger, Darcy A; Northrup, Hope; Y Wu, Joyce; Sahin, Mustafa; Warfield, Simon K	April 14, 2020	Not Determined
31811616	Create Study	EEG Spectral Features in Sleep of Autism Spectrum Disorders in Children with Tuberous Sclerosis Complex.	Journal of autism and developmental disorders	Cook, Ian A; Wilson, Andrew C; Peters, Jurriaan M; Goyal, Monisha N; Bebin, E Martina; Northrup, Hope; Krueger, Darcy; Leuchter, Andrew F; Sahin, Mustafa; TACERN Study Group	March 1, 2020	Not Determined
31691264	Create Study	Scalp EEG spikes predict impending epilepsy in TSC infants: A longitudinal observational study.	Epilepsia	Wu, Joyce Y; Goyal, Monisha; Peters, Jurriaan M; Krueger, Darcy; Sahin, Mustafa; Northrup, Hope; Au, Kit S; O'Kelley, Sarah; Williams, Marian; Pearson, Deborah A; Hanson, Ellen; Byars, Anna W; Krefting, Jessica; Beasley, Mark; Cutter, Gary; Limdi, Nita; Bebin, E Martina	December 2019	Not Determined
31569042	Create Study	Prospective observational study: Fast ripple localization delineates the epileptogenic zone.	Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology	Nariai H, Hussain SA, Bernardo D, Fallah A, Murata KK, Nguyen JC, Rajaraman RR, Rao LM, Matsumoto JH, Lerner JT, Salamon N, Elashoff D, Sankar R, Wu JY	November 2019	Not Determined
31554896	Create Study	Extra-axonal restricted diffusion as an in-vivo marker of reactive microglia.	Scientific reports	Taquet, Maxime; Jankovski, Aleksandar; Rensonnet, Gaëtan; Jacobs, Damien; des Rieux, Anne; Macq, Benoît; Warfield, Simon K; Scherrer, Benoît	September 2019	Not Determined
31417372	Create Study	Reproducibility of Structural and Diffusion Tensor Imaging in the TACERN Multi-Center Study.	Frontiers in integrative neuroscience	Prohl, Anna K; Scherrer, Benoit; Tomas-Fernandez, Xavier; Filip-Dhima, Rajna; Kapur, Kush; Velasco-Annis, Clemente; Clancy, Sean; Carmody, Erin; Dean, Meghan; Valle, Molly; Prabhu, Sanjay P; Peters, Jurriaan M; Bebin, E Martina; Krueger, Darcy A; Northrup, Hope; Wu, Joyce Y; Sahin, Mustafa; Warfield, Simon K	January 2019	Not Determined
31353853	Create Study	White matter mean diffusivity correlates with myelination in tuberous sclerosis complex.	Annals of clinical and translational neurology	Peters JM, Struyven RR, Prohl AK, Vasung L, Stajduhar A, Taquet M, Bushman JJ, Lidov H, Singh JM, Scherrer B, Madsen JR, Prabhu SP, Sahin M, Afacan O, Warfield SK	July 2019	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	150	01/15/2015	163	05/15/2015	163	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
Mullen Scales of Early Learning	150	07/15/2013	158	11/15/2013	158	Approved
Medical History	150	01/15/2014	160	05/15/2014	160	Approved
Demographics	150	07/15/2013	161	11/15/2013	161	Approved
Child Behavior Checklist (CBCL)	150	07/15/2014	146	11/15/2014	146	Approved
Early Social Communication Scales (ESCS)	150	07/15/2014	151	11/15/2014	151	Approved
Preschool Language Scale (PLS)	150	07/15/2013	158	11/15/2013	158	Approved
Physical Exam	150	07/15/2013	160	11/15/2013	160	Approved
Classification of Seizures	150	07/15/2013	160	11/15/2013	160	Approved
Summary of Seizure Diary counts	150	01/15/2014	154	05/15/2014	154	Approved
Vineland (Parent and Caregiver)	150	07/15/2013	154	11/15/2013	154	Approved
Imaging (Structural, fMRI, DTI, PET, microscopy)	150	07/15/2013	135	11/15/2013	135	Approved
EEG	150	07/15/2014	162	12/31/2018	162	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
Examining the validity of the use of ratio IQs in psychological assessments	10.15154/1522624	IQ tests are amongst the most used psychological assessments, both in research and clinical settings. For participants who cannot complete IQ tests normed for their age, ratio IQ scores (RIQ) are routinely computed and used as a proxy of IQ, especially in large research databases to avoid missing data points. However, because it has never been scientifically validated, this practice is questionable. In the era of big data, it is important to examine the validity of this widely used practice. In this paper, we use the case of autism to examine the differences between standard full-scale IQ (FSIQ) and RIQ. Data was extracted from four databases in which ages, FSIQ scores and subtests raw scores were available for autistic participants between 2 and 17 years old. The IQ tests included were the MSEL (N=12033), DAS-II early years (N=1270), DAS-II school age (N=2848), WISC-IV (N=471) and WISC-V (N=129). RIQs were computed for each participant as well as the discrepancy (DSC) between RIQ and FSIQ. We performed two linear regressions to respectively assess the effect of FSIQ and of age on the DSC for each IQ test, followed by additional analyses comparing age subgroups as well as FSIQ subgroups on DSC. Participants at the extremes of the FSIQ distribution tended to have a greater DSC than participants with average FSIQ. Furthermore, age significantly predicted the DSC, with RIQ superior to FSIQ for younger participants while the opposite was found for older participants. These results question the validity of this widely used alternative scoring method, especially for individuals at the extremes of the normal distribution, with whom RIQs are most often employed.	158/17423	Secondary Analysis	Shared
The importance of low IQ to early diagnosis of autism	10.15154/1528140	Some individuals can flexibly adapt to life’s changing demands while others, in particular those with Autism Spectrum Disorder (ASD), find it challenging. The origin of early individual differences in cognitive abilities, the putative tools with which to navigate novel information in life, including in infants later diagnosed with ASD remains unexplored. Moreover, the role of intelligence quotient (IQ) vis-à-vis core features of autism remains debated. We systematically investigate the contribution of early IQ in future autism outcomes in an extremely large, population-based study of 8,000 newborns, infants, and toddlers from the US between 2 and 68 months with over 15,000 cross-sectional and longitudinal assessments, and for whom autism outcomes are ascertained or ruled out by about 2-4 years. This population is representative of subjects involved in the National Institutes of Health (NIH)-funded research, mainly on atypical development, in the US. Analyses using predetermined age bins showed that IQ scores are consistently lower in ASD relative to TD at all ages (p<0.001), and IQ significantly correlates with calibrated severity scores (total CSS, as well as non-verbal and verbal CSS) on the ADOS. Note, VIQ is no better than the full-scale IQ to predict ASD cases. These findings raise new, compelling questions about potential atypical brain circuitry affecting performance in both verbal and nonverbal abilities and that precede an ASD diagnosis. This study is the first to establish prospectively that low early IQ is a major feature of ASD in early childhood.	158/6323	Secondary Analysis	Shared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using C-PAC pipeline and ANTs	10.15154/1165646	An automated pipeline was developed to reference Neuroimages hosted by the National Database for Autism Research (NDAR) and derive volumes for distinct brain structures using Advanced Normalization Tools (ANTs) and the Configurable-Pipeline for the Analysis of Connectomes (C-PAC) platform. This pipeline utilized the ANTs cortical thickness methodology discuessed in "Large-Scale Evaluation of ANTs and Freesurfer Cortical Tchickness Measurements" [http://www.ncbi.nlm.nih.gov/pubmed/24879923] to extract a cortical thickness volume from T1-weighted anatomical MRI data gathered from the NDAR database. This volume was then registered to an stereotaxic-space anatomical template (OASIS-30 Atropos Template) which was acquired from the Mindboggle Project webpage [http://mindboggle.info/data.html]. After registration, the mean cortical thickness was calculated at 31 ROIs on each hemisphere of the cortex and using the Desikan-Killiany-Tourville (DKT-31) cortical labelling protocol [http://mindboggle.info/faq/labels.html] over the OASIS-30 template. NOTE: This study is ongoing; additional data my be available in the future. As a result, each subject that was processed has a cortical thickness volume image and a text file with the mean thickness ROIs (in mm) stored in Amazon Web Services (AWS) Simple Storage Service (S3). Additionally, these results were tabulated in an AWS-hosted database (through NDAR) to enable simple, efficient querying and data access. All of the code used to perform this analysis is publicly available on Github [https://github.com/FCP-INDI/ndar-dev]. Additionally, as a computing platform, we developed an Amazon Machine Image (AMI) that comes fully equipped to run this pipeline on any dataset. Using AWS Elastic Cloud Computing (EC2), users can launch our publicly available AMI ("C-PAC with benchmark", AMI ID: "ami-fee34296", N. Virginia region) and run the ANTs cortical thickness pipeline. The AMI is fully compatible with Sun Grid Engine as well; this enables users to perform many pipeline runs in parallel over a cluster-computing framework.	6/1428	Secondary Analysis	Shared
Derivation of Quality Measures for Structural Images by Neuroimaging Pipelines	10.15154/1149599	Using the National Database for Autism Research cloud platform, MRI data were analyzed using neuroimaging pipelines that included packages available as part of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) Computational Environment to derive standardized measures of MR image quality. Structural QA was performed according to Haselgrove, et al (http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00052/abstract) to provide values for Signal to Noise (SNR) and Contrast to Noise (CNR) Ratios that can be compared between subjects within NDAR and between other public data releases.	6/423	Secondary Analysis	Shared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using NITRC-CE	10.15154/1149600	A draft publication is in progress. GitHub repository with code for working with NDAR Data is available here: https://github.com/chaselgrove/ndar Note this study is ongoing; additional may be added.	6/356	Secondary Analysis	Shared
A human craniofacial life-course: cross-sectional morphological covariations during postnatal growth, adolescence, and aging	10.15154/1520729	Covariations between anatomical structures are fundamental to craniofacial ontogeny, maturation and aging and yet are rarely studied in such a cognate fashion. Here we offer a comprehensive investigation of the human craniofacial complex using freely available software and MRI datasets representing 575 individuals from 0 to 79 years old. We employ both standard craniometrics methods as well as Procrustes based analyses to capture and document cross-sectional trends. Findings suggest that anatomical structures behave primarily as modules, and manifest integrated patterns of shape change as they compete for space, particularly with relative expansions of the brain during early postnatal life and of the face during puberty. Sexual dimorphism was detected in infancy and intensified during adolescence with gender differences in the magnitude and pattern of morphological covariation as well as of aging. These findings partly support the spatial-packing hypothesis and reveal important insights into phenotypic adjustments to deep-rooted, and presumably genetically defined, trajectories of morphological size and shape change that characterise the normal human craniofacial life-course.	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.

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