Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia.

ABSTRACT: A major challenge in functional neuroimaging is to cope with individual variability in cortical structure and function. Most analyses of cortical function compensate for variability using affine or low-dimensional nonlinear volume-based registration (VBR) of individual subjects to an atlas, which does not explicitly take into account the geometry of cortical convolutions. A promising alternative is to use surface-based registration (SBR), which capitalizes on explicit surface representations of cortical folding patterns in individual subjects. In this study, we directly compare results from SBR and affine VBR in a study of working memory in healthy controls and patients with schizophrenia (SCZ). Each subject's structural scan was used for cortical surface reconstruction using the SureFit m

SUBMITTER: Anticevic A 

PROVIDER: S-EPMC2527864 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature