Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards
Abstract
Autism spectrum disorders (ASD) are diagnosed based on early-manifesting clinical symptoms, including markedly impaired social communication. We assessed the viability of resting-state functional MRI (rs-fMRI) connectivity measures as diagnostic biomarkers for ASD and investigated which connectivity features are predictive of a diagnosis. Rs-fMRI scans from 59 high functioning males with ASD and 59 age- and IQ-matched typically developing (TD)...
Paper Details
Title
Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards
Published Date
Jan 1, 2015
Journal
Volume
7
Pages
359 - 366
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