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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

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Cerebro-cerebellar circuitry in the pathophysiology of auditory hallucinations: dysmetria of auditory perceptual processing? #3348

General
Experiments (1)
Shared Data
Publications (22)
Data Expected (7)
Associated Studies (1)

Collection Title	Collection Investigators	Collection Description
Collection Title:	Cerebro-cerebellar circuitry in the pathophysiology of auditory hallucinations: dysmetria of auditory perceptual processing?
Collection Investigators:	Ann Shinn
Collection Description:	This R21 proposal aims to provide detailed understanding of how finely parcellated subareas of the auditory cortex AC are functionally connected with one another and with cerebellar regions in schizophrenia SZ patients with auditory hallucinations AH. AH can be disabling, and do not always respond to existing treatments. A clear understanding of AH pathophysiology is needed to guide the development of more effective treatments for AH, but such knowledge is currently lacking. Previous research suggests that the AC is abnormal in AH, suggesting a possible perceptual basis for AH. The AC, however, is one of many brain regions implicated in AH pathogenesis, and a better understanding of how AC interacts with other critical brain areas is needed. The cerebellum coordinates a host of cerebral cortical functions including higher-level cognitive, affective, and perceptual processes rather than just motor functions, as traditionally believed. Consistent with this framework, the myriad symptoms of psychosis have been proposed to reflect dysmetria, or in coordination, of mental activity due to disruptions in cerebro-cerebellar circuits Andreasen, et al., 1996 Schmahmann, 1998. Given evidence that the cerebellum is reciprocally connected to AC and coordinates auditory processing, there is motivation to understand how abnormal AC-cerebellar circuitry might lead to auditory dysmetria, and AH. We propose to examine features of local AC circuitry and AC-cerebellar circuitry underlying AH by utilizing an innovative and highly reliable AC parcellation strategy based on resting state functional magnetic resonance imaging rsfMRI. This parcellation method, which computes functional connectivity FC between voxels in AC and the rest of the brain, will be used to segment AC into multiple subareas. Subdividing the AC at this fine-grained a level could only be achieved before with postmortem e.g., cytoarchitectonic methods. Here, these individual-specific and functionally defined AC subareas will serve as the seeds for FC between AC subareas and between AC and cerebellum. Our aims are to identify features of AC inter-subarea FC Aim 1 and features of AC-cerebellar FC Aim 2 that track with AH severity in SZ. We also aim to validate how these markers change with intra-subject variations in AH Aim 3, using data from an independent interventional longitudinal study. Our hypotheses are two-fold 1 The AC is comprised of a complex local network of both primary sensory and association subareas, and FC between AC subareas is meaningfully associated with AH. 2 The cerebellum plays a key role in coordinating activity in AC subareas, and this process is dysmetric in AH. This project is significant because it is the first step in a continuum of research that is expected to lead to the development of more targeted and personalized treatments for AH. Repetitive transcranial magnetic stimulation rTMS is a promising non-pharmacological treatment for AH. We propose that stimulation of cerebellar regions that are connected to association subareas of AC may provide access to circuits that are dysmetric in AH. We expect that this proposal will identify potential cerebellar targets for rTMS that can be tested in a future clinical trial.
Data Repository:	NIMH Data Archive
Permission Group:
Collection Creation Date:	10/02/2019
Collection Phase:	Funding Completed
Collection Sub-Phase:	Close Out
Blinded Clinical Trial:	No
Total Funded Amount:	$450,850.00
Subjects Shared:	40

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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
R21MH121831-01	Cerebro-cerebellar circuitry in the pathophysiology of auditory hallucinations: dysmetria of auditory perceptual processing?	09/10/2019	06/30/2023	93	87	MCLEAN HOSPITAL	$450,850.00

Clinical Trials:

helpcenter.collection.general-tab

Collection - General Tab

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The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
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ID	Name	Created Date	Status	Type
1952	Cerebro-cerebellar circuitry in the pathophysiology of auditory hallucinations: dysmetria of auditory perceptual processing?	02/04/2022	Approved	fMRI

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Collection - Experiments

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Shared Data:

Title	Type	Number of Subjects
Auditory Hallucinations Rating Scale	Clinical Assessments	39
Image	Imaging	39
Montgomery-Asberg Depression Rating Scale	Clinical Assessments	38
Psychotic Symptoms Rating Scales	Clinical Assessments	38
Research Subject	Clinical Assessments	39
Scales for the Assessment of Positive/Negative Symptoms	Clinical Assessments	38
Young Mania Rating Scale	Clinical Assessments	38

helpcenter.collection.shared-data-tab

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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.

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Publications

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

PubMed ID	Study	Title	Journal	Authors	Date	Status
38944384	Create Study	Functional Connectivity of the Auditory Cortex in Women With Trauma-Related Disorders Who Hear Voices.	Biological psychiatry. Cognitive neuroscience and neuroimaging	Li, Meiling; Lebois, Lauren A M; Ridgewell, Caitlin; Palermo, Cori A; Winternitz, Sherry; Liu, Hesheng; Kaufman, Milissa L; Shinn, Ann K	October 1, 2024	Not Determined
37336421	Create Study	Intrinsic brain activity is increasingly complex and develops asymmetrically during childhood and early adolescence.	NeuroImage	Jia, Gaoding; Hubbard, Catherine S; Hu, Zhenyan; Xu, Jingping; Dong, Qi; Niu, Haijing; Liu, Hesheng	August 15, 2023	Not Determined
37322044	Create Study	Focused ultrasound thalamotomy for tremor treatment impacts the cerebello-thalamo-cortical network.	NPJ Parkinson''s disease	Dahmani, Louisa; Bai, Yan; Li, Meiling; Ren, Jianxun; Shen, Lunhao; Ma, Jianjun; Li, Haiyang; Wei, Wei; Li, Pengyu; Wang, Danhong; Du, Lei; Cui, Weigang; Liu, Hesheng; Wang, Meiyun	June 15, 2023	Not Determined
36585407	Create Study	Auditory hallucinations, childhood sexual abuse, and limbic gray matter volume in a transdiagnostic sample of people with psychosis.	Schizophrenia (Heidelberg, Germany)	Millman, Zachary B; Hwang, Melissa; Sydnor, Valerie J; Reid, Benjamin E; Goldenberg, Joshua E; Talero, Jessica N; Bouix, Sylvain; Shenton, Martha E; Öngür, Dost; Shinn, Ann K	December 30, 2022	Not Determined
36244201	Create Study	Test-retest reliability of the Childhood Trauma Questionnaire in psychotic disorders.	Journal of psychiatric research	Cay, Mariesa; Chouinard, Virginie-Anne; Hall, Mei-Hua; Shinn, Ann K	December 1, 2022	Not Determined
35262808	Create Study	Fast cortical surface reconstruction from MRI using deep learning.	Brain informatics		March 9, 2022	Not Determined
35093193	Create Study	Childhood maltreatment and its role in the development of pain and psychopathology.	The Lancet. Child & adolescent health	Cay, Mariesa; Gonzalez-Heydrich, Joseph; Teicher, Martin H; van der Heijden, Hanne; Ongur, Dost; Shinn, Ann K; Upadhyay, Jaymin	March 1, 2022	Not Determined
35023218	Create Study	Personalized fMRI Delineates Functional Regions Preserved within Brain Tumors.	Annals of neurology	Cui, Weigang; Wang, Yinyan; Ren, Jianxun; Hubbard, Catherine S; Fu, Xiaoxuan; Fang, Shengyu; Wang, Danhong; Zhang, Hao; Li, Yang; Li, Luming; Jiang, Tao; Liu, Hesheng	March 1, 2022	Not Determined
34911197	Create Study	Auditory hallucinations across the psychosis spectrum: Evidence of dysconnectivity involving cerebellar and temporal lobe regions.	NeuroImage. Clinical	Hwang, Melissa; Roh, Youkyung S; Talero, Jessica; Cohen, Bruce M; Baker, Justin T; Brady, Roscoe O; Öngür, Dost; Shinn, Ann K	January 1, 2021	Not Determined
33497437	Create Study	Dissociable Auditory Cortico-Cerebellar Pathways in the Human Brain Estimated by Intrinsic Functional Connectivity.	Cerebral cortex (New York, N.Y. : 1991)	Ren, Jianxun; Hubbard, Catherine S; Ahveninen, Jyrki; Cui, Weigang; Li, Meiling; Peng, Xiaolong; Luan, Guoming; Han, Ying; Li, Yang; Shinn, Ann K; Wang, Danhong; Li, Luming; Liu, Hesheng	May 10, 2021	Not Determined
33462330	Create Study	Altered temporal, but intact spatial, features of transient network dynamics in psychosis.	Molecular psychiatry	Wang, Danhong; Peng, Xiaolong; Pelletier-Baldelli, Andrea; Orlov, Natasza; Farabaugh, Amy; Nasr, Shahin; Eryilmaz, Hamdi; Fava, Maurizio; Holmes, Avram J; Roffman, Joshua L; Liu, Hesheng; Holt, Daphne J	June 1, 2021	Not Determined
33359345	Create Study	Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks.	NeuroImage	Li, Meiling; Dahmani, Louisa; Wang, Danhong; Ren, Jianxun; Stocklein, Sophia; Lin, Yuanxiang; Luan, Guoming; Zhang, Zhiqiang; Lu, Guangming; Galiè, Fanziska; Han, Ying; Pascual-Leone, Alvaro; Wang, Meiyun; Fox, Michael D; Liu, Hesheng	February 15, 2021	Not Determined
33350445	Create Study	Individual Variability in Functional Organization of the Human and Monkey Auditory Cortex.	Cerebral cortex (New York, N.Y. : 1991)	Ren, Jianxun; Xu, Ting; Wang, Danhong; Li, Meiling; Lin, Yuanxiang; Schoeppe, Franziska; Ramirez, Julian S B; Han, Ying; Luan, Guoming; Li, Luming; Liu, Hesheng; Ahveninen, Jyrki	March 31, 2021	Not Determined
33038597	Create Study	Neuromodulation effects of deep brain stimulation on beta rhythm: A longitudinal local field potential study.	Brain stimulation	Chen, Yue; Gong, Chen; Tian, Ye; Orlov, Natasza; Zhang, Jianguo; Guo, Yi; Xu, Shujun; Jiang, Changqing; Hao, Hongwei; Neumann, Wolf-Julian; Kühn, Andrea A; Liu, Hesheng; Li, Luming	November 1, 2020	Not Determined
33028816	Create Study	Reconstructing lost BOLD signal in individual participants using deep machine learning.	Nature communications	Yan, Yuxiang; Dahmani, Louisa; Ren, Jianxun; Shen, Lunhao; Peng, Xiaolong; Wang, Ruiqi; He, Changgeng; Jiang, Changqing; Gong, Chen; Tian, Ye; Zhang, Jianguo; Guo, Yi; Lin, Yuanxiang; Li, Shijun; Wang, Meiyun; Li, Luming; Hong, Bo; Liu, Hesheng	October 7, 2020	Not Determined
32972201	Create Study	Large-Scale Functional Brain Network Architecture Changes Associated With Trauma-Related Dissociation.	The American journal of psychiatry	Lebois, Lauren A M; Li, Meiling; Baker, Justin T; Wolff, Jonathan D; Wang, Danhong; Lambros, Ashley M; Grinspoon, Elizabeth; Winternitz, Sherry; Ren, Jianxun; Gönenç, Atilla; Gruber, Staci A; Ressler, Kerry J; Liu, Hesheng; Kaufman, Milissa L	February 1, 2021	Not Determined
32951262	Create Study	Subthalamic Nucleus Deep Brain Stimulation Modulates 2 Distinct Neurocircuits.	Annals of neurology	Shen, Lunhao; Jiang, Changqing; Hubbard, Catherine S; Ren, Jianxun; He, Changgeng; Wang, Danhong; Dahmani, Louisa; Guo, Yi; Liu, Yiming; Xu, Shujun; Meng, Fangang; Zhang, Jianguo; Liu, Hesheng; Li, Luming	December 1, 2020	Not Determined
32434212	Create Study	Functional connectivity underpinnings of electroconvulsive therapy-induced memory impairments in patients with depression.	Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology	Wang, Danhong; Tian, Yanghua; Li, Meiling; Dahmani, Louisa; Wei, Qiang; Bai, Tongjian; Galiè, Franziska; Ren, Jianxun; Farooq, Rai Khalid; Wang, Kangcheng; Lu, Jie; Wang, Kai; Liu, Hesheng	August 1, 2020	Not Determined
32107555	Create Study	Resting-state fMRI detects alterations in whole brain connectivity related to tumor biology in glioma patients.	Neuro-oncology	Stoecklein, Veit M; Stoecklein, Sophia; Galiè, Franziska; Ren, Jianxun; Schmutzer, Michael; Unterrainer, Marcus; Albert, Nathalie L; Kreth, Friedrich-W; Thon, Niklas; Liebig, Thomas; Ertl-Wagner, Birgit; Tonn, Joerg-C; Liu, Hesheng	September 29, 2020	Not Determined
31888985	Create Study	Variable functional connectivity architecture of the preterm human brain: Impact of developmental cortical expansion and maturation.	Proceedings of the National Academy of Sciences of the United States of America	Stoecklein, Sophia; Hilgendorff, Anne; Li, Meiling; Förster, Kai; Flemmer, Andreas W; Galiè, Franziska; Wunderlich, Stephan; Wang, Danhong; Stein, Sophie; Ehrhardt, Harald; Dietrich, Olaf; Zou, Qihong; Zhou, Shuqin; Ertl-Wagner, Birgit; Liu, Hesheng	January 14, 2020	Not Determined
31759571	Create Study	Individual-Specific Analysis for Psychoradiology.	Neuroimaging clinics of North America	Liu, Hesheng; Liu, William J; Wang, Danhong; Dahmani, Louisa	February 1, 2020	Not Determined
31689538	Create Study	Sample sizes and population differences in brain template construction.	NeuroImage	Yang, Guoyuan; Zhou, Sizhong; Bozek, Jelena; Dong, Hao-Ming; Han, Meizhen; Zuo, Xi-Nian; Liu, Hesheng; Gao, Jia-Hong	February 1, 2020	Not Determined

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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	45	01/15/2021	39	06/30/2022	39	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
Mania Rating Scale	45	01/15/2021	38	06/30/2022	38	Approved
Scales for the Assessment of Positive/Negative Symptoms	45	01/15/2021	38	06/30/2022	38	Approved
Imaging (Structural, fMRI, DTI, PET, microscopy)	45	01/15/2021	39	06/30/2022	39	Approved
Montgomery-Asberg Depression Rating Scale	45	01/15/2021	38	06/30/2022	38	Approved
Auditory Hallucinations Rating Scale	45	01/15/2021	39	06/30/2022	39	Approved
Psychotic Symptoms Rating Scales	45	01/15/2021	38	06/30/2022	38	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
Sex-differential markers of psychiatric risk and treatment response based on premature aging of functional brain network dynamics and peripheral physiology	Background Aging is a multilevel process of gradual decline that predicts morbidity and mortality. Independent investigations have implicated senescence of brain and peripheral physiology in psychiatric risk, but it is unclear whether these effects stem from unique or shared mechanisms. Methods To address this question, we analyzed clinical, blood chemistry and resting state functional neuroimaging data in a healthy aging cohort (N= 427; age 36-100 years) and two disorder-specific samples encompassing patients with early psychosis (100 patients, 16-35 years) and major depressive disorder (MDD) (104 patients, 20-76 years). Results We identified sex-dependent coupling between blood chemistry markers of metabolic senescence (i.e., homeostatic dysregulation), functional brain network aging, and psychiatric risk. In females, premature aging of frontoparietal and somatomotor networks was linked to greater homeostatic dysregulation. It also predicted the severity and treatment resistance of mood symptoms (depression/anxiety [all three samples], anhedonia [MDD]) and social withdrawal/behavioral inhibition (avoidant personality disorder [healthy aging]; negative symptoms [early psychosis]). In males, premature aging of the default mode, cingulo-opercular, and visual networks was linked to reduced homeostatic dysregulation and predicted severity and treatment resistance of symptoms relevant to hostility/aggression (antisocial personality disorder [healthy aging]; mania/positive symptoms [early psychosis]), impaired thought processes (early psychosis, MDD) and somatic problems (healthy aging, MDD). Conclusions Our findings identify sexually dimorphic relationships between brain dynamics, peripheral physiology, and risk for psychiatric illness, suggesting that the specificity of putative risk biomarkers and precision therapeutics may be improved by considering sex and other relevant personal characteristics.	2/631	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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