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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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Selected Filters
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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.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

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Notes
Data Structures with shared data
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1 Numbers reported are subjects by age
New Trial
New Project

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

New Documentation

Please enter the name of the data structure to search or if your definition does not exist, please upload that definition so that it can be appropriately defined for submission. Multiple data structures may be associated with a single Data Expected entry. Please add only one data structure per assessment.

Please provide a reason for the requested submission exemption and the
time-frame during which the exemption will be active.
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
Autism Brain Imaging Data Exchange
Michael Milham, MD, Ph.D. 
Autism spectrum disorders (ASD) are characterized by qualitative impairment in reciprocal social communication, as well as by repetitive, restricted, and stereotyped behaviors. Previously considered rare, ASD are now recognized to occur in more than 1% of children, causing immense suffering to individuals and their families. The complexity and heterogeneity of ASD make it necessary to obtain large-scale samples which are difficult to attain in any individual lab. In response, the Autism Brain Imaging Data Exchange (ABIDE) hereby provides previously collected resting state functional magnetic resonance imaging (R-fMRI) datasets from 539 individuals with ASD and 573 typical controls for the purpose of data sharing in the broader scientific community. This grass-root initiative involved 16 international sites, sharing 20 samples yielding 1112 datasets composed of both MRI data and an extensive array of phenotypic information common across nearly all sites (see below). This unprecedented effort is expected to facilitate discovery science and comparisons across samples.In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included.
NDAR
Closed
Shared
$801,614.00
1,112
0
0

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No Data Shared

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Chart Expander
NIH - Extramural None
Leon Levy Foundation None
Joseph P. Healy None
Stavros Niarchos Foundation None


K23MH087770-01 Translational Developmental Neuroscience of Autism 01/01/2010 11/30/2013 Not Reported Not Reported NEW YORK UNIVERSITY SCHOOL OF MEDICINE $643,638.00
R03MH096321-01 Enhancement of the 1000 Functional Connectome Project 01/16/2012 11/30/2013 Not Reported Not Reported NATHAN S. KLINE INSTITUTE FOR PSYCH RES $157,976.00

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.

Advanced Normalization Tools (ANTs) Cortical Thickness Imaging 1102
Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 379
Autism Diagnostic Observation Schedule (ADOS) - Module 2 (2007) Clinical Assessments 5
Autism Diagnostic Observation Schedule (ADOS) - Module 4 Clinical Assessments 174
Autism Diagnostic Observation Schedule (ADOS)- Module 2 Clinical Assessments 4
Autism Diagnostic Observation Schedule (ADOS)- Module 3 Clinical Assessments 233
Autism Diagnostic Observation Schedule (ADOS)- Module 3 (2007) Clinical Assessments 271
Autism Spectrum Quotient (AQ) Clinical Assessments 56
Edinburgh Handedness Inventory Clinical Assessments 370
Height and Weight Clinical Assessments 94
Ravens Coloured Progressive Matrices (CPM) Clinical Assessments 134
Social Communication Questionnaire (SCQ) - Lifetime Clinical Assessments 124
Social Responsiveness Scale (SRS) Clinical Assessments 184
Social Responsiveness Scale (SRS) - Adult/Self Version Clinical Assessments 46
Vineland-II - Parent and Caregiver Rating Form (2005) Clinical Assessments 112
Wechsler Abbreviated Scale of Intelligence (WASI) Clinical Assessments 554
Wechsler Adult Intelligence Scale III Clinical Assessments 66
Wechsler Intelligence Scale for Children III Clinical Assessments 49

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
24583255Create StudyA multivariate distance-based analytic framework for connectome-wide association studies.NeuroImageShehzad Z, Kelly C, Reiss PT, Cameron Craddock R, Emerson JW, McMahon K, Copland DA, Castellanos FX, Milham MPJune 2014Not Determined
24560717Create StudyCommon intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics.NeuroImageYang Z, Craddock RC, Margulies DS, Yan CG, Milham MPJune 2014Not Determined
23774715Create StudyThe autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatryDi Martino A, Yan CG, Li Q, Denio E, Castellanos FX, Alaerts K, Anderson JS, Assaf M, Bookheimer SY, Dapretto M, Deen B, Delmonte S, Dinstein I, Ertl-Wagner B, Fair DA, Gallagher L, Kennedy DP, Keown CL, Keysers C, Lainhart JE, Lord C, Luna B, Menon V, Minshew NJ, Monk CS, et al.June 2014Not Determined
23631991Create StudyClinical applications of the functional connectome.NeuroImageCastellanos FX, Di Martino A, Craddock RC, Mehta AD, Milham MPOctober 15, 2013Not Determined
23631983Create StudyStandardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes.NeuroImageYan CG, Craddock RC, Zuo XN, Zang YF, Milham MPOctober 15, 2013Not Determined
23123682Create StudyMaking data sharing work: the FCP/INDI experience.NeuroImageMennes M, Biswal BB, Castellanos FX, Milham MPNovember 15, 2013Not Determined

This tab provides a general status on the data expected to be shared. There are two types of data expected.

  1. By Relevant publications — Those publications that reported for the collection's grant and have a status of "relevant" for sharing are listed first. The grantee is expected to share the data specific to those publications using the NDA Study feature. If a publication is erroneously marked relevant, the PI should simply change the status. When sharing a study, only the outcome measures for the subjects/time-points are shared. Other data that have not met the share date, defined below, will remain embargoed. To initiate study creation, simply login, mark your publication as relevant and click on the link listed to begin.

  2. By Data Structure — The number of subjects expected, received and shared is provided. Investigators are expected to update the data that they are collecting, the initial submission date and initial share dates. The NIMH Data Archive shares data when those dates are met.

  3. Submission Exemption — Those with Administrative or Submission Access to the Collection may request an exemption for submission for a defined period by stating the reason and timeframe. Note that the program officer on the grant may review this request.


Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.

For those with privileges to edit the collection, it is possible to upload your data definitions using this interface. NDA support staff will then follow up with a harmonized data definition for you to use in providing additional data.

Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Wechsler Abbreviated Scale of Intelligence (WASI) info iconApproved
ADOS info iconApproved
Autistic Spectrum Quotient info iconApproved
Ravens Coloured Progressive Matrices (CPM) info iconApproved
Social Communication Questionnaire (SCQ) info iconApproved
Research Subject and Pedigree info iconApproved
Wechsler Adult Intelligence Scale info iconApproved
Vineland (Parent and Caregiver) info iconApproved
Wechsler Intelligence Scale for Children info iconApproved
ADI-R info iconApproved
Evaluated Data info iconApproved
Physical Exam info iconApproved
Social Responsiveness Scale (SRS) 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 Name Description Number of Subjects
Collection / Total
Data Use State
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using C-PAC pipeline and ANTs 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. 1102 / 1540 Secondary Analysis Shared
* Data not on individual level