1.
Med Image Comput Comput Assist Interv
; 17(Pt 3): 153-60, 2014.
Article
in English
| MEDLINE
| ID: mdl-25320794
ABSTRACT
Resting state functional connectivity holds great potential for diagnostic prediction of neurological and psychiatric illness. This paper introduces a compact and information-rich representation of connectivity that is geared directly towards predictive modeling. Our representation does not require a priori identification of localized regions of interest, yet provides a mechanism for interpretation of classifier weights. Experiments confirm increased accuracy associated with our representation and yield interpretations consistent with known physiology.