Prediction of Biological Motion Perception Performance from Intrinsic Brain Network Regional Efficiency

摘要: Biological motion perception (BMP) is a vivid of the moving form human figure from few light points on joints body. BMP commonplace and important, but there great inter-individual variability in this ability. This study used multiple regression model analysis to explore association between performance intrinsic brain activity, order investigate neural substrates underlying performance. The resting-state functional magnetic resonance imaging (rs-fMRI) data were collected 24 healthy participants. For each participant, network was constructed, graph-based efficiency metric measured. Then, linear regional We found that local global many regions significantly correlated with Further showed rather than could be explain most variability, involved predominately located at Default Mode Network (DMN). Additionally, discrimination over including thalamus classify across Notably, pattern nodal different static directional/gender information perception. Overall, these findings may considered as factor explains variability. Keywords: motion; Resting-state network; efficiency; Multiple model; Brain-behavior