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Effective connectivities of cortical regions for top-down face processing: A Dynamic Causal Modeling study

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机构: [1]Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China; [2]Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian 710071, Peoples R China; [3]Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China; [4]Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China; [5]Northwestern Univ, Dev Cognit Neurosci Lab, Evanston, IL 60208 USA; [6]Capital Med Univ, Beijing Tiantan Hosp, Dept Neuroimaging, Beijing 100050, Peoples R China; [7]Univ Calif San Diego, Dept Psychol, La Jolla, CA 92093 USA; [8]Univ Toronto, Inst Child Study, Toronto, ON, Canada
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关键词: Face processing Top-down processing Bottom-up processing Dynamic Causal Modeling (DCM) Orbitofrontal cortex (OFC)

摘要:
To study top-down face processing, the present study used an experimental paradigm in which participants detected non-existent faces in pure noise images. Conventional BOLD signal analysis identified three regions involved in this illusory face detection. These regions included the left orbitofrontal cortex (OFC) in addition to the right fusiform face area (FFA) and right occipital face area (OFA), both of which were previously known to be involved in both top-down and bottom-up processing of faces. We used Dynamic Causal Modeling (DCM) and Bayesian model selection to further analyze the data, revealing both intrinsic and modulatory effective connectivities among these three cortical regions. Specifically, our results support the claim that the orbitofrontal cortex plays a crucial role in the top-down processing of faces by regulating the activities of the occipital face area, and the occipital face area in turn detects the illusory face features in the visual stimuli and then provides this information to the fusiform face area for further analysis. (C) 2010 Elsevier B.V. All rights reserved.

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出版当年[2009]版:
大类 | 3 区 医学
小类 | 4 区 神经科学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 神经科学
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出版当年[2008]版:
Q3 NEUROSCIENCES
最新[2023]版:
Q3 NEUROSCIENCES

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第一作者:
第一作者机构: [2]Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian 710071, Peoples R China; [3]Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China;
通讯作者:
通讯机构: [1]Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China; [2]Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian 710071, Peoples R China;
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