Classification of self-driven mental tasks from whole-brain activity patterns.

ABSTRACT: During wakefulness, a constant and continuous stream of complex stimuli and self-driven thoughts permeate the human mind. Here, eleven participants were asked to count down numbers and remember negative or positive autobiographical episodes of their personal lives, for 32 seconds at a time, during which they could freely engage in the execution of those tasks. We then examined the possibility of determining from a single whole-brain functional magnetic resonance imaging scan which one of the two mental tasks each participant was performing at a given point in time. Linear support-vector machines were used to build within-participant classifiers and across-participants classifiers. The within-participant classifiers could correctly discriminate scans with an average accuracy as high as 82%,

SUBMITTER: Nawa NE 

PROVIDER: S-EPMC4019522 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature