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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

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Shared

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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
Magnetoencephalographic studies of lexical processing and abstraction in autism
David Embick 
Language impairment and communication difficulties are a hallmark of autism spectrum disorders. The central hypothesis underlying this proposal is that children on the autism spectrum manifest difficulties forming and accessing abstract representations and categorizing acoustic distinct but linguistically similar stimulus tokens into unitary objects. This difficulty has deep implications for their systems of word (lexical) processing and representation: attention to (irrelevant) acoustic detail prevents fast/successful activation of abstract lexical representations. This hypothesis will be probed in school-age children (6-10 years) on the autism spectrum (and age-matched, NVIQ-matched neurotypical controls), using the brain recording technology of magnetoencephalography (MEG) to gain spectral, temporal and spatial insights from paradigms probing lexical access, word difference detection and variants of priming. It is further hypothesized that--because failure to abstract/attention to extraneous impedes lexical access--reduction of extraneous detail (e.g. band-pass filtering) might improve abstraction/categorization by making different tokens of the same word easier to recognize as sharing an abstract representation. If successful in unifying disparate percepts of acoustically-different but lexically-identical stimuli into categorical representations/abstract representations, this manipulation might pave the way for future therapeutic options.
NDAR
Enrolling
Shared
$1,536,649.00
79
0
0
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NIH - Extramural None


R01HD073258-01 Magnetoencephalographic studies of lexical processing and abstraction in autism 08/13/2012 05/31/2018 Not Reported Not Reported UNIVERSITY OF PENNSYLVANIA $1,536,649.00

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.

Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 2 Clinical Assessments 2
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 3 Clinical Assessments 75
Research Subject Clinical Assessments 79
Wechsler Intelligence Scale for Children - IV [part 2] Clinical Assessments 79

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
25914888Create StudyTowards a computational(ist) neurobiology of language: Correlational, integrated, and explanatory neurolinguistics.Language, cognition and neuroscienceEmbick D, Poeppel DMay 1, 2015Not Relevant
25470101Create StudyDSM-5 and autism spectrum disorders: the changes you haven't heard about yet.The Journal of clinical psychiatryMiller JNovember 2014Not Relevant
25455579Create StudyComplementary and alternative medicine treatments for children with autism spectrum disorders.Child and adolescent psychiatric clinics of North AmericaLevy SE, Hyman SLJanuary 2015Not Relevant
24769280Create StudySpectro-temporal correlates of lexical access during auditory lexical decision.Brain and languageBrennan J, Lignos C, Embick D, Roberts TPJune 2014Not Relevant
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Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.
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Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Wechsler Intelligence Scale for Children info iconApproved
ADI-R info iconApproved
Imaging (Structural, fMRI, DTI, PET, microscopy) info iconApproved
Research Subject and Pedigree info iconApproved
ADOS info iconApproved
Magnetoencephalography (MEG) info iconApproved
Clinical Evaluation of Language Fundamentals (CELF) 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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