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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.

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

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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.

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


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
ASD Mathematical Cognition: A Cognitive and Systems Neuroscience Approach
Vinod Menon, Stanford University  
Investigation of math abilities in children with ASD via behavioral tests and brain imaging. Study will investigate cognitive and brain processes as well as brain networks involved in mathematical cognition in ASD populations. First submission will include behavioral (WASI) as well as diagnostic assessments (ADI,ADOS,SCQ).



No Data Shared


Chart Expander
NIH - Extramural None

R01MH084164-01 Mathematical Cognition in Autism: A Cognitive and Systems Neuroscience Approach 06/01/2011 02/29/2016 180 121 STANFORD UNIVERSITY $3,150,031.00

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


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
154Math Autism Study - Vinod Menon07/15/2014ApprovedfMRI
515Mathematical Abilities in Children with Autism11/02/2016ApprovedfMRI

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.

Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 40
Autism Diagnostic Observation Schedule (ADOS)- Module 3 Clinical Assessments 41
Automated Working Memory Assessment Clinical Assessments 24
Child Behavior Checklist (CBCL) 6-18 Clinical Assessments 61
Image Imaging 46
Research Subject Clinical Assessments 71
Scale for Early Mathematics Anxiety Clinical Assessments 62
Wechsler Abbreviated Scale of Intelligence (WASI) Clinical Assessments 71
Wechsler Individual Achievement Test Second Edition Clinical Assessments 36
Wechsler Individual Achievement Test Third Edition. Part II Clinical Assessments 23
Working Memory Test Battery for Children (WMTB-C) Clinical Assessments 50

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


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
27185915Create StudyNeural circuits underlying mother's voice perception predict social communication abilities in children.Proceedings of the National Academy of Sciences of the United States of AmericaAbrams DA, Chen T, Odriozola P, Cheng KM, Baker AE, Padmanabhan A, Ryali S, Kochalka J, Feinstein C, Menon VMay 2016Not Determined
26972835Create StudyThe Empathizing-Systemizing Theory, Social Abilities, and Mathematical Achievement in Children.Scientific reportsEscovar E, Rosenberg-Lee M, Uddin LQ, Menon V2016Not Determined
26659551Create StudyDistinctive Role of Symbolic Number Sense in Mediating the Mathematical Abilities of Children with Autism.Journal of autism and developmental disordersHiniker A, Rosenberg-Lee M, Menon VApril 2016Not Determined
26655682Create StudyHeterogeneous and nonlinear development of human posterior parietal cortex function.NeuroImageChang TT, Metcalfe AW, Padmanabhan A, Chen T, Menon VFebruary 1, 2016Not Determined
26454817Create StudyInsula response and connectivity during social and non-social attention in children with autism.Social cognitive and affective neuroscienceOdriozola P, Uddin LQ, Lynch CJ, Kochalka J, Chen T, Menon VMarch 2016Not Determined
25073720Create StudyBrain State Differentiation and Behavioral Inflexibility in Autism†.Cerebral cortex (New York, N.Y. : 1991)Uddin LQ, Supekar K, Lynch CJ, Cheng KM, Odriozola P, Barth ME, Phillips J, Feinstein C, Abrams DA, Menon VDecember 2015Not Determined
24268662Create StudyAmygdala subregional structure and intrinsic functional connectivity predicts individual differences in anxiety during early childhood.Biological psychiatryQin S, Young CB, Duan X, Chen T, Supekar K, Menon VJune 1, 2014Not Determined
24210821Create StudyBrain hyperconnectivity in children with autism and its links to social deficits.Cell reportsSupekar K, Uddin LQ, Khouzam A, Phillips J, Gaillard WD, Kenworthy LE, Yerys BE, Vaidya CJ, Menon VNovember 14, 2013Not Determined
23966925Create StudyReconceptualizing functional brain connectivity in autism from a developmental perspective.Frontiers in human neuroscienceUddin LQ, Supekar K, Menon V2013Not Determined
23954299Create StudyBrain organization underlying superior mathematical abilities in children with autism.Biological psychiatryIuculano T, Rosenberg-Lee M, Supekar K, Lynch CJ, Khouzam A, Phillips J, Uddin LQ, Menon VFebruary 1, 2014Not Determined
23803651Create StudySalience network-based classification and prediction of symptom severity in children with autism.JAMA psychiatryUddin LQ, Supekar K, Lynch CJ, Khouzam A, Phillips J, Feinstein C, Ryali S, Menon VAugust 2013Not Determined
23776244Create StudyUnderconnectivity between voice-selective cortex and reward circuitry in children with autism.Proceedings of the National Academy of Sciences of the United States of AmericaAbrams DA, Lynch CJ, Cheng KM, Phillips J, Supekar K, Ryali S, Uddin LQ, Menon VJuly 16, 2013Not 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
23375976Create StudyDefault mode network in childhood autism: posteromedial cortex heterogeneity and relationship with social deficits.Biological psychiatryLynch CJ, Uddin LQ, Supekar K, Khouzam A, Phillips J, Menon VAugust 1, 2013Not Determined
22682904Create StudyWeak task-related modulation and stimulus representations during arithmetic problem solving in children with developmental dyscalculia.Developmental cognitive neuroscienceAshkenazi S, Rosenberg-Lee M, Tenison C, Menon VFebruary 15, 2012Not Determined
22171056Create StudyDynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development.The Journal of neuroscience : the official journal of the Society for NeuroscienceUddin LQ, Supekar KS, Ryali S, Menon VDecember 14, 2011Not Determined
21890111Create StudyMultivariate searchlight classification of structural magnetic resonance imaging in children and adolescents with autism.Biological psychiatryUddin LQ, Menon V, Young CB, Ryali S, Chen T, Khouzam A, Minshew NJ, Hardan AYNovember 1, 2011Not Determined
21620984Create StudyWhat difference does a year of schooling make? Maturation of brain response and connectivity between 2nd and 3rd grades during arithmetic problem solving.NeuroImageRosenberg-Lee M, Barth M, Menon VAugust 1, 2011Not 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
ADI-R info iconApproved
ADOS info iconApproved
Wechsler Individual Achievement Test info iconApproved
Wechsler Abbreviated Scale of Intelligence (WASI) info iconApproved
Child Behavior Checklist (CBCL) info iconApproved
Research Subject and Pedigree info iconApproved
Working Memory Test Battery for Children (WMTB-C) info iconApproved
Scale for Early Mathematics Anxiety (SEMA) info iconApproved
Automated Working Memory Assessment (AWMA) info iconApproved
Imaging (Structural, fMRI, DTI, PET, microscopy) 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 Quality Measures for Time-Series Images by Neuroimaging Pipelines 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. Time series QA was performed according to Friedman, et al. (http://www.ncbi.nlm.nih.gov/pubmed/16952468) providing values for Signal to Noise Ratio that can be compared to other subjects. 2 / 356 Secondary Analysis Shared
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. 5 / 1540 Secondary Analysis Shared
Derivation of Quality Measures for Structural Images by Neuroimaging Pipelines 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. 5 / 425 Secondary Analysis Shared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using NITRC-CE 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.** 5 / 356 Secondary Analysis Shared
* Data not on individual level