Toward literature-based feature selection for diagnostic classification: a meta-analysis of resting-state fMRI in depression.

ABSTRACT: Information derived from functional magnetic resonance imaging (fMRI) during wakeful rest has been introduced as a candidate diagnostic biomarker in unipolar major depressive disorder (MDD). Multiple reports of resting state fMRI in MDD describe group effects. Such prior knowledge can be adopted to pre-select potentially discriminating features for diagnostic classification models with the aim to improve diagnostic accuracy. Purpose of this analysis was to consolidate spatial information about alterations of spontaneous brain activity in MDD, primarily to serve as feature selection for multivariate pattern analysis techniques (MVPA). Thirty two studies were included in final analyses. Coordinates extracted from the original reports were assigned to two categories based on directionality of

SUBMITTER: Sundermann B 

PROVIDER: S-EPMC4159995 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature