Multivariate decoding of fMRI data

• DOI: 10.1007/s13295-012-0026-9
• Publication Date: 2012-04-20T19:23:59Z
• Authors: J. Heinzle; S. Anders; S. Bode; C. Bogler; Y. Chen; R.M. Cichy; K. Hackmack; T. Kahnt; C. Kalberlah; C. Reverberi; C.S. Soon; A. Tusche; M. Weygandt; J.-D. Haynes
• Keywords: Brain Function; ENCODE

Abstract The advent of functional magnetic resonance imaging (fMRI) brain function 20 years ago has provided a new methodology for non-in­vasive measurement that is now widely used in cognitive neurosci­ence. Traditionally, fMRI data been an­alyzed looking overall activity chang­es regions response to stimu­lus or task. Now, recent develop­ments have introduced more elaborate, con­tent-based analysis techniques. When mul­tivariate decoding applied the detailed patterning regionally-specific signals, it can be assess amount infor­mation these encode about specific task-vari­ables. Here we provide an overview sev­eral developments, spanning from applica­tions neuroscience (perception, attention, reward, decision making, emotion­al communication) (informa­tion flow, surface-based searchlight decod­ing) and medical diagnostics.