Abstract #2257

Functional Parcellation of Cerebellum Based on Resting-State fMRI and Singular Value Decomposition

Chia-Wei Li¹, Jyh-Horng Chen¹,²

¹Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, Taiwan; ²Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan, Taiwan

Recent researches pointed out that the cerebellum participates in many cognitive processes. In this study, we tried to parcel out the functional separation according to the functional connectivity between cerebellum and cerebrum based on one combined process of data-driven SVD and seed method. Moreover, we also parceled out the energy peaks in frequency domain among those cerebellar functional networks. In the result, fourteen functional patterns show that cerebellum participate in many cognitive processes, including of motor, executive control, memory, language, emotion, thalamic network, visuospatial, and DMN. And most of the energy peaks among those patterns distribute in 0.01~0.04 and 0.06~0.09 (Hz). It could provide one valuable reference for the further investigation about resting-state MRI.