Surface-based analysis increases the specificity of cortical activation patterns and connectivity results.

ABSTRACT: Spatial smoothing of functional magnetic resonance imaging (fMRI) data can be performed on volumetric images and on the extracted surface of the brain. Smoothing on the unfolded cortex should theoretically improve the ability to separate signals between brain areas that are near together in the folded cortex but are more distant in the unfolded cortex. However, surface-based method approaches (SBA) are currently not utilized as standard procedure in the preprocessing of neuroimaging data. Recent improvements in the quality of cortical surface modeling and improvements in its usability nevertheless advocate this method. In the current study, we evaluated the benefits of an up-to-date surface-based smoothing in comparison to volume-based smoothing. We focused on the effect of signal contamin

SUBMITTER: Brodoehl S 

PROVIDER: S-EPMC7109138 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature