Exploring Spatiotemporal Pattern of Human Motor Cortex from FMRI by Self-Clustering Independent Components with Partner Matching
Wang Z, Peterson B
Columbia University and NYSPI
It has been agreed that the human motor cortex may include three interacted regions, namely primary motor cortex (M1), supplementary motor area (SMA) and premotor area (PMA). However, the spatial patterns of these areas have not been exactly exhibited by reconstructing activation maps of neuronal activities under a cognitive motor task. And the temporal patterns and relationships between the spatial and temporal patterns in these areas remains unclear or elusive. The aim of this study was to investigate the spatio-temporal patterns of neuronal processing in human motor cortex using functional magnetic resonance imaging (FMRI)combined with self-clustering of independent components based on the proposed Partner Matching algorithm.