Linking brain-wide multivoxel activation patterns to behaviour: Examples from language and math.

ABSTRACT: A key goal of cognitive neuroscience is to find simple and direct connections between brain and behaviour. However, fMRI analysis typically involves choices between many possible options, with each choice potentially biasing any brain-behaviour correlations that emerge. Standard methods of fMRI analysis assess each voxel individually, but then face the problem of selection bias when combining those voxels into a region-of-interest, or ROI. Multivariate pattern-based fMRI analysis methods use classifiers to analyse multiple voxels together, but can also introduce selection bias via data-reduction steps as feature selection of voxels, pre-selecting activated regions, or principal components analysis. We show here that strong brain-behaviour links can be revealed without any voxel selection o

SUBMITTER: Raizada RD 

PROVIDER: S-EPMC3003895 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature