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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

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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
Decoding what and who in the auditory system of children with autism spectrum
Vinod Menon 
To further our understanding of basic auditory function underlying decoding of phonological content ("what" is being said) and speaker identity (who is saying it) in children with ASD, compared to typically developing (TD) children matched on age and language ability. Novel multivariate pattern recognition techniques will be used to increase the sensitivity for detecting fine-grained neural representations of information processing in the auditory system of children with ASD. 1) fMRI will be used to examine discrimination of minimal pair nonsense words in auditory cortex. 2) Assess integrity of voice-selective cortex in the superior temporal sulcus by quantifying brain-based discrimination of speech and non-speech environmental sounds measured with fMRI. 3) Use fMRI to distinguish brain responses to words produced by each childs mother and investigate specialized brain circuits for typical and atypical processing of this salient biological signal.


No Data Shared


No Data Shared


Chart Expander
NIH - Extramural None

R21DC011095-01 Decoding what and who in the auditory system of children with autism spectrum 02/04/2011 01/31/2013 60 21 STANFORD UNIVERSITY $434,500.00

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
153Auditory ASD - Vinod Menon07/15/2014ApprovedfMRI

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 15
Autism Diagnostic Observation Schedule (ADOS)- Module 3 Clinical Assessments 14
CELF-4 Clinical Eval of Lang Fundamentals, 4th ed Clinical Assessments 15
Child Behavior Checklist (CBCL) 6-18 Clinical Assessments 15
Comprehensive Test of Phonological Processing (CTOPP) Clinical Assessments 15
Image Imaging 14
Research Subject Clinical Assessments 15
Social Communication Questionnaire (SCQ) - Current Form Clinical Assessments 15
Wechsler Abbreviated Scale of Intelligence (WASI) Clinical Assessments 14
Working Memory Test Battery for Children (WMTB-C) Clinical Assessments 10

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
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 VJanuary 2013Not 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
23578016Create StudyInter-subject synchronization of brain responses during natural music listening.The European journal of neuroscienceAbrams DA, Ryali S, Chen T, Chordia P, Khouzam A, Levitin DJ, Menon VMay 2013Not 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
22693339Create StudyMultivariate activation and connectivity patterns discriminate speech intelligibility in Wernicke's, Broca's, and Geschwind's areas.Cerebral cortex (New York, N.Y. : 1991)Abrams DA, Ryali S, Chen T, Balaban E, Levitin DJ, Menon VJuly 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
Social Communication Questionnaire (SCQ) info iconApproved
Clinical Evaluation of Language Fundamentals (CELF) info iconApproved
Research Subject and Pedigree info iconApproved
Comprehensive Test of Phonological Processing (CTOPP) info iconApproved
ADI-R info iconApproved
Child Behavior Checklist (CBCL) info iconApproved
Working Memory Test Battery for Children (WMTB-C) 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
The Sensitivity and Specificity of the Social Communication Questionnaire for Autism Spectrum Disorder with Respect to Age Scientific Abstract The Social Communication Questionnaire (SCQ) assesses communication skills and social functioning in screening for symptoms of autism-spectrum disorder (ASD). The SCQ is recommended for individuals between 4 to 40 years with a cutoff score of 15 for referral. Mixed findings have been reported regarding the recommended cutoff score’s ability to accurately classify an individual as at-risk for ASD (sensitivity) versus an individual as not at-risk for ASD (specificity). Based on a sample from the National Database for Autism Research (n=344; age: 1.58 to 25.92 years old), the present study examined the SCQ’s sensitivity versus specificity across a range of ages. We recommend that the cutoff scores for the SCQ be re-evaluated with age as a consideration. Lay Abstract The age neutrality of the Social Communication Questionnaire (SCQ) was examined as a common screener for ASD. Mixed findings have been reported regarding the recommended cutoff score’s ability to accurately classify an individual as at-risk for ASD (sensitivity) versus accurately classifying an individual as not at-risk for ASD (specificity). With a sample from the National Database for Autism Research, the present study examined the SCQ’s sensitivity versus specificity. Analyses indicated that the actual sensitivity and specificity scores were lower than initially reported by the creators of the SCQ. 1 / 339 Secondary Analysis Shared
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. 10 / 356 Secondary Analysis Shared
Psychometric Analysis of the Social Communication Questionnaire Using an Item-Response Theory Framework: Implications for the Use of the Lifetime and Current Forms The Social Communication Questionnaire (SCQ) was developed as a screener of Autism Spectrum Disorder (ASD). To date, the majority of the SCQ utility studies focused on its external validity (e.g., ROC curve analyses), but very few have addressed the internal validity issues. With samples consisting of 2,134 individuals available from the National Database for Autism Research (NDAR), the current study examined the factor structure, item-level characteristics, and measurement equivalence of the SCQ forms (i.e., Lifetime form and Current form) using both the classical true score theory and the item response theory (IRT). While our findings indicate sufficient psychometric properties of the SCQ Lifetime form, measurement issues emerged with respect to the SCQ Current form. These issues include lower internal consistencies, a weaker factor structure, lower item discriminations, significant pseudo-guessing effects, and subscale-level measurement bias. Thus, we caution researchers and clinicians about the use of the SCQ Current form. In particular, it seems inappropriate to use the Current form as an alternative to the Lifetime form among children younger than 5 years old or under other special situations (e.g., teacher-report data), although such practices were advised by the publisher of the SCQ. Instead, we recommend modifying the wording of the Lifetime form items rather than switching to the Current form where a 3-month timeframe is specified for responding to SCQ items. Future studies may consider investigating the association between the temporality of certain behaviors and the individual’s potential for being diagnosed with ASD, as well as the age neutrality of the SCQ. 7 / 2134 Secondary Analysis Shared
* Data not on individual level