Searching for quantitative biomarkers of ASD using computational approaches and rapid assessment fMRI
| dc.contributor.author | Kishida, Kenneth T. | en |
| dc.date.accessioned | 2012-10-12T15:29:32Z | en |
| dc.date.available | 2012-10-12T15:29:32Z | en |
| dc.date.created | 2012-08-15 | en |
| dc.date.issued | 2012-10-12 | en |
| dc.description.abstract | Kenneth 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.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/10919/19024 | en |
| dc.language.iso | en_US | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Autism spectrum disorders | en |
| dc.title | Searching for quantitative biomarkers of ASD using computational approaches and rapid assessment fMRI | en |
| dc.type | Presentation | en |
| dc.type | Conference proceeding | en |
| dc.type.dcmitype | Text | en |
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