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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

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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

Please select an experiment type below

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SelectExperiment IdExperiment NameExperiment Type
  • Select One
  • EEG
  • EGG
  • Eye Tracking
  • Omics
  • fMRI
Created On
949Resting StatefMRI06/18/2018
943Emotional Face TaskfMRI06/13/2018
941Meridians localizerfMRI06/07/2018
940V1 localizer movingDotsfMRI06/07/2018
939movingDotsfMRI06/07/2018
938MT localizer dots movingDotsfMRI06/07/2018
937MT localizer gratings movingDotsfMRI06/07/2018
936V1 localizer peripheryfMRI06/07/2018
935Contrast peripheryfMRI06/07/2018
934MT localizer peripheryfMRI06/07/2018
933Pilot01: Posner Cueing with st-tACSEye Tracking06/06/2018
932Social- Theory of Mind Localizer TaskfMRI06/01/2018
931Faces TaskfMRI05/31/2018
930Go_NogofMRI05/30/2018
929Moral RatingfMRI05/30/2018
928Pain Detection fMRI05/30/2018
927Reward TaskfMRI05/30/2018
926Go no Go TaskfMRI05/30/2018
924EARLI Placenta WGBSOmics05/24/2018
923Anxiety-CBT fMRI (pre-post) - Version 4 BlockfMRI05/15/2018
922Anxiety-CBT fMRI (pre-post) - Version 3 BlockfMRI05/15/2018
921Anxiety-CBT fMRI (pre-post) - Version 2 BlockfMRI05/15/2018
920Anxiety-CBT fMRI (pre-post) - Version 1 BlockfMRI05/15/2018
919Neural overlap in item representations across episodes impairs context memoryfMRI05/11/2018
918ReferenceTissue: U01MH106892_Brain_Amplicon_SeqOmics05/08/2018
917Virginia_single_cell_HiSeq3000Omics05/03/2018
916Virginia_single_cell_HiSeq2500Omics05/03/2018
915Virginia_single_cell_MiSeqOmics05/03/2018
914PFC analysis in bloodOmics04/27/2018
913Task and emotional content driven visual competitionfMRI04/27/2018
912Task and emotional content driven visual competitionEEG04/23/2018
911Resting StatefMRI04/20/2018
910Modified Monetary Incentive Delay fMRI04/20/2018
908Resting State Pre-Stress Visit 1fMRI04/20/2018
907Montreal Imaging Stress Task Visit 1fMRI04/18/2018
9062-back Post-Stress Visit 1fMRI04/18/2018
9051-back Post-Stress Visit 1fMRI04/18/2018
9040-back Post-Stress Visit 1fMRI04/18/2018
9032-back Pre-Stress Visit 1fMRI04/18/2018
9021-back Pre-Stress Visit 1fMRI04/18/2018
9010-back Pre-Stress Visit 1fMRI04/18/2018
900DTIfMRI04/11/2018
899Investigating a Neurobehavioral Mechanism of Paranoia - Resting State ScansfMRI04/06/2018
898FAST-POMAfMRI04/03/2018
897parvizi_eeg_109EEG03/19/2018
896parvizi_eeg_107EEG03/19/2018
895parvizi_eeg_106EEG03/19/2018
893Startle Habituation and Shock Sensitivity EvaluationEEG03/03/2018
892NPU EEG Task EEG03/03/2018
891Duke ACE ETEye Tracking03/02/2018
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Shared

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

General

Title, investigators, and Collection Description may be edited along with the Collection Phase. For Collection Phase, the options Pre-enrollment, Enrollment, and Completed can be chosen allowing the Collection Owner to indicate the stage of data collection.

Funding Source

The ability to associate the funding source for the project is provided. For NIH funded grants, linkage to Project Reporter information (e.g. R01MH123456) is supported. Projects funded by others, including the URL of the project, are listed. Non NIH funded projects will become available here to link that data with the appropriate funding agency.

Supporting Documentation

Any documents related to the project may be uploaded clarifying the data or acquisition methods used may be uploaded and made available here. The default is to share these documents to the general public. An option to share only to qualified Researchers is also an option.

Clinical Trials

For clinical trials, the option to link to the clinical trial in clinicaltrials.gov is optionally provided.

Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Perturbation of the treatment resistant depression connectome by fast-acting therapies
Katherine Narr 
Depression affects a large portion of the world's population. Though treatable, two thirds of patients will not respond sufficiently to two or more standard pharmacotherapies and will be defined as treatment resistant (TRD). Quality of life for these individuals is extremely low and unremitting symptoms lead to loss of productivity, impaired social relationships, high health care costs, and in some cases, loss of life by suicide. Though several different brain networks are implicated, despite much research, the mechanisms causal to depression and its successful treatment remain unclear. The overarching goal of the current proposal is to leverage optimized non-invasive MRI technologies and normative data available through the NIMH/NIA-funded Human Connectome Project (HCP, U54 MH091657) to 1) identify connectome-specific correlates and predictors of successful treatment outcome to 3 therapeutic interventions, each with a rapid onset of action and to 2) characterize alterations in neural connectivity associated with individual clinical, behavioral and physiological differences across TRD. Following harmonization of HCP MRI protocols, structural, functional and diffusion MRI data and behavioral testing batteries modeled from the HCP Lifespan protocol with added clinical assessments will be collected. Arterial spin labeling (ASL) perfusion MRI, measuring cerebral blood flow, and peripheral blood measures of gene function will supplement these protocols. Our first aim is longitudinal and will determine whether changes in brain network connectivity relate to and predict response to fast-acting perturbations known to elicit robust antidepressant effects. These perturbations include electroconvulsive therapy (ECT), serial ketamine infusion and total sleep deprivation (TSD). Since TRD includes different categorical diagnoses such as unipolar and bipolar depression and other comorbidities, our second specific aim is cross-sectional and will determine if heterogeneity in behavioral and symptom profiles, clinical histories and sex and age contribute to variations in the patterns of altered structural and functional connectivity in TRD. Subjects will include 200 patients clinically eligible to receive ECT (n=60), serial ketamine (n=60) or TSD (n=80) and 140 controls, combining control data collected locally (n=40) with control data from the HCP resource (n=100). Each patient will receive MRI, behavioral/cognitive testing and a blood draw before and after completing one of the interventions. Behavioral constructs and sub-constructs of interest will include cognitive control, negativity bias and rumination and reward hypersensitivity, widely implicated in depression, functions that are governed by prefrontal and anterior cingulate cortex (cognitive control, mood regulation) and amygdala, hippocampus, ventral striatum/pallidum (emotion and reward) regions and circuitry. Data will be released to the scientific community through the Connectome Coordination Facility. The infrastructure of the HCP provides an unprecedented opportunity for to discover the mechanisms of disease and treatment response, which could lead to more effective treatment strategies based on individual connectivity profiles.
RDoCdb
Pre-Enrollment
Shared
$4,119,440.00
0
0
81
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NIH - Extramural None


U01MH110008-01 Perturbation of the treatment resistant depression connectome by fast-acting therapies 09/02/2016 05/31/2020 Not Reported 81 UNIVERSITY OF CALIFORNIA LOS ANGELES $4,119,440.00

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

Experiments

To create a new Omics, eye tracking, fMRI, or EEG experiment, press the "+ New Experiment" button. Once an experiment is created, then raw files for these types of experiments should be provided, associating the experiment – through Experiment_ID – with the metadata defined in the experiments interface.

IDNameCreated DateStatusType
No records found.

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

Shared Data

Data structures with the number of subjects submitted and shared are provided.

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 NDAR 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 IDStudyTitleJournalAuthorsDateStatus
29489077Create StudyInflammation and Improvement of Depression Following Electroconvulsive Therapy in Treatment-Resistant Depression.The Journal of clinical psychiatryKruse JL, Congdon E, Olmstead R, Njau S, Breen EC, Narr KL, Espinoza R, Irwin MR2018 Mar/AprNot Determined
29217832Create StudyInter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study.Translational psychiatryWade BSC, Sui J, Hellemann G, Leaver AM, Espinoza RT, Woods RP, Abbott CC, Joshi SH, Narr KLDecember 2017Not Determined
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Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
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Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info iconApproved
Structure not yet defined

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 NameAbstractCollection/Study SubjectsData UsageState
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