Searching for quantitative biomarkers of ASD using computational approaches and rapid assessment fMRI

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dc.contributor.authorKishida, Kenneth T.en
dc.date.accessioned2012-10-12T15:29:32Zen
dc.date.available2012-10-12T15:29:32Zen
dc.date.created2012-08-15en
dc.date.issued2012-10-12en
dc.description.abstractKenneth Kishida, a research scientist at the Virginia Tech Carilion Research Institute, proposes the use of functional Magnetic Resonance Imaging assays for classifying neural subtypes of children with autism spectrum disorders.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/19024en
dc.language.isoen_USen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAutism spectrum disordersen
dc.titleSearching for quantitative biomarkers of ASD using computational approaches and rapid assessment fMRIen
dc.typePresentationen
dc.typeConference proceedingen
dc.type.dcmitypeTexten

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