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K. E. Stephan, C. C. Hilgetag, G. A. P. C. Burns et al. (2000) Computational analysis of functional connectivity between areas of primate cerebral cortex. Phil. Trans. R. Soc. Lond. B, 355, 111-126.

has been cited by the following article:

• TITLE: Investigating connectional characteristics of Motor Cortex network

  AUTHORS: Dong-Mei Hao, Ming-Ai Li

  KEYWORDS: Motor Cortex Network, Connectivity, Correlation Coefficient, Functional Magnetic Resonance Imaging (fMRI), Activation Area

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.2 No.1, February 13, 2009

  ABSTRACT: To understand the connectivity of cerebral cor-tex, especially the spatial and temporal pattern of movement, functional magnetic resonance imaging (fMRI) during subjects performing finger key presses was used to extract functional networks and then investigated their character-istics. Motor cortex networks were constructed with activation areas obtained with statistical analysis as vertexes and correlation coefficients of fMRI time series as linking strength. The equivalent non-motor cortex networks were constructed with certain distance rules. The graphic and dynamical measures of motor cor-tex networks and non-motor cortex networks were calculated, which shows the motor cortex networks are more compact, having higher sta-tistical independence and integration than the non-motor cortex networks. It indicates the motor cortex networks are more appropriate for information diffusion.