Information-based functional brain mapping.
The development of high-resolution neuroimaging and multielectrode electrophysiological recording provides neuroscientists with huge amounts of multivariate data. The complexity of the data creates a need for statistical summary, but the local averaging standardly applied to this end may obscure the effects of greatest neuroscientific interest. In neuroimaging, for example, brain mapping analysis has focused on the discovery of activation, i.e., of extended brain regions whose average activity changes across experimental conditions. Here we propose to ask a more general question of the data: Where in the brain does the activity pattern contain information about the experimental condition? To address this question, we propose scanning the imaged volume with a "searchlight," whose contents are analyzed multivariately at each location in the brain.
Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Building 10, Room 1D80B, 10 Center Drive MSC 1148, Bethesda, MD 20892-1148, USA. niko@nih.gov
Nikolaus
N
Kriegeskorte
Rainer
R
Goebel
Peter
P
Bandettini
D000293:Adolescent; D000328:Adult; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000706:statistics & numerical data; D008297:Male; D008959:Models, Neurological; D015999:Multivariate Analysis