Landmark-guided region-based spatial normalization for functional magnetic resonance imaging.

ABSTRACT: As the size of the neuroimaging cohorts being increased to address key questions in the field of cognitive neuroscience, cognitive aging, and neurodegenerative diseases, the accuracy of the spatial normalization as an essential preprocessing step becomes extremely important. Existing spatial normalization methods have poor accuracy particularly when dealing with the highly convoluted human cerebral cortex and when brain morphology is severely altered (e.g., aging populations). To address this shortcoming, we propose a novel spatial normalization technique that takes advantage of the existing surface-based human brain parcellation to automatically identify and match regional landmarks. To simplify the nonlinear whole brain registration, the identified landmarks of each region and its counte

SUBMITTER: He H 

PROVIDER: S-EPMC9248321 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature