BAYESIAN FUNCTIONAL REGISTRATION OF FMRI ACTIVATION MAPS.

ABSTRACT: Functional magnetic resonance imaging (fMRI) has provided invaluable insight into our understanding of human behavior. However, large inter-individual differences in both brain anatomy and functional localization after anatomical alignment remain a major limitation in conducting group analyses and performing population level inference. This paper addresses this problem by developing and validating a new computational technique for reducing misalignment across individuals in functional brain systems by spatially transforming each subjects functional data to a common reference map. Our proposed Bayesian functional registration approach allows us to assess differences in brain function across subjects and individual differences in activation topology. It combines intensity-based and fe

SUBMITTER: Wang G 

PROVIDER: S-EPMC10312483 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature