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Changes in the brain intrinsic organization in both on-task state and post-task resting state

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机构: [a]International WIC Institute, Beijing University of Technology, China [b]Beijing Key Laboratory of MRI and Brain Informatics, China [c]Department of Computer Science, Hong Kong Baptist University, Hong Kong [d]Department of Life Science and Informatics, Maebashi Institute of Technology, Japan [e]Department of Psychology, Carnegie Mellon University, USA [f]Department of Radiology, Xuanwu Hospital, Capital Medical University, China
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关键词: Modulation Topology Small world Default mode network Task-driven states

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The dynamic and robust characteristics of intrinsic functional connectivity of coherent spontaneous activity are critical for the brain functional stability and flexibility. Studies have demonstrated modulation of intrinsic connectivity within local spatial patterns during or after task performance, such as the default mode network (DMN) and task-specific networks. Moreover, recent studies have compared the global spatial pattern in different tasks or over time. However, it is still unclear how the large-scale intrinsic connectivity varies during and after a task. To better understand this issue, we conducted a functional MRI experiment over three sequential periods: an active semantic-matching task period and two rest periods, before and after the task respectively (namely, on-task state and pre-/post-task resting states), to detect task-driven effect on the dynamic large-scale intrinsic organization in both on-task state and post-task resting state. Three hierarchical levels were investigated, including (a) the whole brain small-world topology, (b) the whole pairwise functional connectivity patterns both within the DMN and between the DMN and other regions (i.e., the global/full DMN topography), and (c) the DMN nodal graph properties. The major findings are: (1) The large-scale small-world configuration of brain functional organization is robust, regardless of the behavioral state changing, while it varies adaptively with significantly higher local efficiency and lower global efficiency during the on-task state (P<0.05, Monte-Carlo corrected); (2) The DMN may be essentially engaged during both task and post-task processes with adaptively varied spatial patterns and nodal graph properties. The present study provides further insights into the robustness and plasticity of the brain intrinsic organization over states, which may be the basis of memory and learning in the brain. (C) 2012 Elsevier Inc. All rights reserved.

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出版当年[2011]版:
大类 | 2 区 医学
小类 | 1 区 神经成像 1 区 核医学 2 区 神经科学
最新[2025]版:
大类 | 2 区 医学
小类 | 1 区 神经成像 2 区 神经科学 2 区 核医学
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出版当年[2010]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q1 NEUROIMAGING Q1 NEUROSCIENCES
最新[2023]版:
Q1 NEUROIMAGING Q1 NEUROSCIENCES Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2010版] 出版当年五年平均 出版前一年[2009版] 出版后一年[2011版]

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第一作者机构: [a]International WIC Institute, Beijing University of Technology, China [b]Beijing Key Laboratory of MRI and Brain Informatics, China
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通讯机构: [*1]International WIC Institute, Beijing University of Technology, China, and the Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City, 371–0816, Japan. [*2]Department of Radiology, Xuanwu Hospital, Capital Medical University, China.
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