Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: Functional connectivity-based parcellation method

Abstract

Noninvasive parcellation of the human cerebral cortex is all important goal for understanding and examining brain functions. Recently, the patterns of anatomical connections using diffusion tensor Imaging (DTI) have been used to parcellate brain regions Here, we present a noninvasive parcellation approach that uses "functional fingerprints" obtained by correlation measures oil resting state functional magnetic resonance imaging (fMRI) data to parcellate brain regions In other terms, brain regions ale parcellated based oil the similarity of their connection - as reflected by correlation during resting state - to the whole brain. The proposed method was Used to parcellate the medial frontal cortex (MFC) into supplementary motor areas (SMA) and pre-SMA subregions In agreement with anatomical landmark-based parcellation, we find that functional fingerprint Clustering of the MFC results in anterior and posterior clusters The probabilistic maps from 12 subjects showed that the interior cluster is mainly located rostral to the vertical commissure anterior (VCA) line, whereas the posterior cluster is mainly located caudal to VCA line, suggesting the homologues of pre-SMA and SMA. The functional connections from the Putative pre-SMA cluster were connected to brain regions which are responsible for complex/cognitive motor control, whereas those front the putative SMA cluster were connected to brain regions which are related to the simple motor control These Findings demonstrate the feasibility of the functional connectivity-based parcellation of the human cerebral cortex using resting state fMRI.