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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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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
886RestfMRI02/14/2018
885SARTfMRI02/14/2018
884Plasma metabolic profileOmics02/05/2018
878Social Challenge AssessmentEye Tracking01/26/2018
877PRV-005-EEGEEG01/22/2018
876Mixed Anti and Pro (vgs) saccade mixed blocked eye trackingEye Tracking01/22/2018
875Attention modulation taskEye Tracking01/17/2018
874ruthldopa resting 17 and 18fMRI01/16/2018
873ruthldopa resting 15 and 16fMRI01/16/2018
872ruthldopa resting 13 and 14fMRI01/16/2018
871ruthldopa resting 11 and 12fMRI01/16/2018
870Resting State fMRIfMRI01/12/2018
869cyberballfMRI01/12/2018
868MDD_PilotfMRI01/12/2018
867Velten Mood Induction State-ItemfMRI01/12/2018
866Emotional Hemifield Task (EHT)EEG01/12/2018
865Genome EditingOmics01/12/2018
864parvizi_eeg_118EEG01/12/2018
863parvizi_eeg_117EEG01/12/2018
862parvizi_eeg_116EEG01/12/2018
861parvizi_eeg_115EEG01/12/2018
860parvizi_eeg_114EEG01/12/2018
859parvizi_eeg_113EEG01/12/2018
858PRV-003-EEGEEG01/12/2018
857PRV-004-EEGEEG01/12/2018
856PRV-007-EEGEEG01/12/2018
855Regulating Emotional Responses to Visual Images Across the Affective Instability SpectrumfMRI01/12/2018
854PRV-002-EEGEEG01/12/2018
853R61 Ezogabine Resting State FMRIfMRI01/11/2018
852Paired AssociatesfMRI01/11/2018
851PRV-001-EEGEEG01/11/2018
850Reward ProcessingfMRI01/11/2018
849Resting EEG (1024 samples/s)EEG01/11/2018
845Fast face -1 runfMRI01/10/2018
844MIST_MAST_fMRIfMRI01/10/2018
843RTT AHA-1Omics01/09/2018
84230 words (simultaneous fMRI and EEG acquisition)EEG01/08/2018
841Neural Correlates of Episodic Retrieval fMRI01/08/2018
84030 words (simultaneous fMRI and EEG acquisition)fMRI01/08/2018
838Memory Guided Saccade Encode and Maintenance v3fMRI01/05/2018
837Memory Guided Saccade Encode and Maintenance v2fMRI01/05/2018
836Food ExposurefMRI01/03/2018
835Model ExposurefMRI01/02/2018
834BlankingEye Tracking12/28/2017
833DoubleStepEye Tracking12/26/2017
832Memory Guided Saccade Encode and Maintenance v1 fMRI12/21/2017
831Mixed Anti and Pro (vgs) saccade mixed blocked taskfMRI12/21/2017
830T1 AlternativefMRI12/19/2017
829fMRI Movie Trailer Video 2fMRI12/18/2017
828fMRI Movie Trailer Video 1fMRI12/18/2017
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General

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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
Intrinsic Brain Architecture of Young Children with Autism While Awake and Asleep
Adriana DiMartino 
Functional neuroimaging is increasingly enhancing our understanding of autism spectrum disorders (ASD) as disconnection syndromes, but because of its demands, most studies have focused on adults or older children. Conducting functional neuroimaging during natural sleep permits the study of young children and infants.Given the early onset of ASD, such studies may be crucial to the identification of biomarkers. However, the assumption that findings obtained during sleep can be generalized to wakefulness has not yet been systematically tested. This exploratory proposal represents a first step to fill this important gap by studying young children with ASD in two conditions - wakefulness and natural sleep - using resting-state functional magnetic resonance imaging (R-fMRI). By quantifying intrinsic functional connectivity (iFC) throughout the brain, R-fMRI provides a wealth of information about functional brain circuitry. While differences between asleep and awake R-fMRI in healthy adults have been described, to date, iFC measures in sleeping young children with ASD have not been systematically characterized, nor have they been contrasted with wakefulness. Accordingly, our overarching goal is to provide an initial systematic characterization of the stability (reliability) across states (awake and sleep) of whole-brain iFC in children with ASD. We propose to collect R-fMRI while awake and during natural sleep in at least 20 children with ASD between the ages of 66 to 90 months starting at the youngest ages at which children can be successfully scanned while awake. We will survey whole brain iFC employing structural and functional parcellation units commonly examined in the literature. We will also compute other whole-brain voxel-wise measures of intrinsic brain functional architecture previously reported to be abnormal in ASD and which capture specific properties not otherwise characterized by traditional correlation analyses. These include Voxel Mirrored Homotopic Connectivity, Regional Homogeneity, Fractional Amplitude of Low Frequency Fluctuations, Degree Centrality and Independent Component Analyses. Our hypothesis generating aims are (1) to test for significant differences between wakefulness and sleep across children with ASD, and (2) to systematically characterize the stability (reliability)of between-individual differences in R-fMRI measures across states (asleep, awake) as indexed by intraclass correlation coefficients. We will also address additional questions regarding the effects of different parcellation systems on measures of stability, the stability of brain-behavior relationships with ASD measures, and derive initial estimates of within-session test-retest reliability. Finally, to maximize the impact of this effort, we will make fully anonymized data available to the scientific community every six months as the data are collected. We expect such prospective data sharing to further enhance the scientific value of the proposed efforts. This will accelerate the pace at which the collected data can be used as a foundation for future efforts to study increasingly younger children so as to delineate the underlying pathophysiology of ASD.
NDAR
Funding Completed
Shared
$466,125.00
76
100
28
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NIH - Extramural None


R21MH102660-01 Intrinsic Brain Architecture of Young Children with Autism While Awake and Asleep 03/05/2014 02/29/2016 100 28 NEW YORK UNIVERSITY SCHOOL OF MEDICINE $466,125.00

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
245rest_6mins01/21/2015ApprovedfMRI

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.

Aberrant Behavior Checklist (ABC) - Community Clinical Assessments 69
Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 49
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 2 Clinical Assessments 6
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 3 Clinical Assessments 67
BRIEF-Parent Clinical Assessments 66
Child Behavior Checklist (CBCL) 1-5 Clinical Assessments 20
Child Behavior Checklist (CBCL) 6-18 Clinical Assessments 47
Child Information Sheet Clinical Assessments 75
Child's Sleep Habits Questionnaire (CSHQ) Clinical Assessments 60
Children's Communication Checklist - 2 Clinical Assessments 72
Comprehensive Assessment of Spoken Language Clinical Assessments 68
Conners Parent Rating Scales Revised (CPRS) 2002 Clinical Assessments 68
DAS-II: Differential Ability Scales 2nd Ed. School Age Clinical Assessments 38
DAS-II:Differential Ability Scales 2nd Ed. Early Years Clinical Assessments 36
Diagnosis Clinical Assessments 74
Edinburgh Handedness Inventory Clinical Assessments 56
Height and Weight Clinical Assessments 71
Image Imaging 51
Multidimensional Anxiety Scale for Children Parent and Self Clinical Assessments 4
Repetitive Behavior Scale - Revised (RBS-R) Clinical Assessments 63
Research Subject Clinical Assessments 76
Social Communication Questionnaire (SCQ) - Lifetime Clinical Assessments 69
Social Responsiveness Scale (SRS) Clinical Assessments 70
Vineland-II - Survey Form (2005) Clinical Assessments 73
Wechsler Abbreviated Scale of Intelligence (WASI) Clinical Assessments 2

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
28291247Create StudyEnhancing studies of the connectome in autism using the autism brain imaging data exchange II.Scientific dataDi Martino A, O'Connor D, Chen B, Alaerts K, Anderson JS, Assaf M, Balsters JH, Baxter L, Beggiato A, Bernaerts S, Blanken LM, Bookheimer SY, Braden BB, Byrge L, Castellanos FX, Dapretto M, Delorme R, Fair DA, Fishman I, Fitzgerald J, Gallagher L, Keehn RJ, Kennedy DP, Lainhart JE, Luna B, et al.March 2017Not Relevant
26888614Create StudyImaging the "At-Risk" Brain: Future Directions.Journal of the International Neuropsychological Society : JINSKoyama MS, Di Martino A, Castellanos FX, Ho EJ, Marcelle E, Leventhal B, Milham MPFebruary 2016Not Relevant
25233316Create StudyUnraveling the miswired connectome: a developmental perspective.NeuronDi Martino A, Fair DA, Kelly C, Satterthwaite TD, Castellanos FX, Thomason ME, Craddock RC, Luna B, Leventhal BL, Zuo XN, Milham MPSeptember 17, 2014Not Determined
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Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.
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Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
ABC Community info iconApproved
Vineland (Parent and Caregiver) info iconApproved
Child Behavior Checklist (CBCL) info iconApproved
Childrens Communication Checklist-2 (CCC-2) info iconApproved
Conners info iconApproved
Repetitive Behavior Scale - Revised (RBS-R) info iconApproved
Social Communication Questionnaire (SCQ) info iconApproved
Social Responsiveness Scale (SRS) info iconApproved
Multidimensional Anxiety Scale for Children (MASC) info iconApproved
Wechsler Abbreviated Scale of Intelligence (WASI) info iconApproved
Diagnosis info iconApproved
ADOS info iconApproved
Childs Sleep Habits Questionnaire (CSHQ) info iconApproved
DAS-II: Differential Ability Scales info iconApproved
Demographics info iconApproved
Behavior Rating Inventory of Executive Function (BRIEF) info iconApproved
Comprehensive Assessment of Spoken Language (CASL) info iconApproved
Imaging (Structural, fMRI, DTI, PET, microscopy) info iconApproved
Research Subject and Pedigree info iconApproved
Physical Exam info iconApproved
ADI-R info iconApproved
EEG info iconApproved
DSM IV Criteria info iconApproved
DSM-5 Checklist 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.

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