Causality game level 112/12/2023 In particular, the effective connectivity analysis that can reveal directional information of influence between the brain regions has been highlighted as a key technology for understanding the dynamic and parallel functions of the brain (Abler et al., 2006 Deshpande et al., 2008 Friston, 2009 Gao et al., 2008 Goebel et al., 2003 Marreiros et al., 2008 Roebroeck et al., 2005). For instance, various functional connectivity analyses have been proposed and widely used to show the interaction among brain regions in many states (Biswal et al., 1995 Boccalettia et al., 2006 Greicius et al., 2003 Hampson et al., 2002 Lowe et al., 2000 Martino et al., 2008). Since the invention of the fMRI, the relationship between the brain regions and functions was the main interest of most research, and many different approaches of brain function interpretation have been proposed to understand high-level brain functions. ![]() Both simulations and experiments were performed to show the performance of the proposed method, and the existence and analyzability of the connectivity between pattern-based information in the brain were verified.į unctional magnetic resonance imaging (fMRI) has contributed to objective insights into brain functions by detecting the blood oxygenation level-dependent (BOLD) signals related to cerebral hemodynamic responses. The method can compose a causality map throughout the entire brain for any specified region of interest. The method applies the Granger causality to interested regions of the brain in terms of spatiotemporal pattern-based data, which are known to play an important role in dealing with high-level functions of the brain. In this article, we propose a multivoxel pattern-based causality mapping method to explore influences between the spatial pattern-based information in the brain. In addition to the spatial pattern analysis of the brain functions, effective connectivity can also be analyzed between the spatial pattern-based information. ![]() The results of the MVPA indicate that the spatial pattern of functional MRI data contains useful information. ![]() Since its development, the multivoxel pattern analysis (MVPA) method has been widely used to study high-level cognitive function in the brain.
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