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Aging influence on functional connectivity of the motor network in the resting state

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机构: [a]Beijing Institute of Geriatrics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China [b]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China [c]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China [d]Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA [e]Key Laboratory on Neurodegenerate Disorder of Ministry of Education
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关键词: aging functional connectivity motor network resting state

摘要:
We used functional MRI (fMRI) to study the aging influence on functional connectivity of the motor network in the resting state. A network model based on graph theory was used to measure functional connectivity. The total connectivity degree of each region within the motor network was calculated and compared between aged and young groups. We found that the pattern of functional connectivity was changed in aged subjects, including a significant decrease in the functional connectivity degree of the right cingulate motor area and left premotor area compared to young subjects. Our study demonstrates that normal aging modulates the functional connectivity of motor network in the resting state. We postulate that this abnormal functional connectivity of motor network in the baseline state is an important reason contributing to the deteriorated motor ability in aged subjects. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

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出版当年[2006]版:
大类 | 3 区 医学
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[2005]版:
Q3 NEUROSCIENCES
最新[2023]版:
Q3 NEUROSCIENCES

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第一作者机构: [a]Beijing Institute of Geriatrics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China [e]Key Laboratory on Neurodegenerate Disorder of Ministry of Education
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通讯机构: [*]Beijing Institute of Geriatrics, Department of Neurology, Xuanwu Hospital, Capital Medical University, #45 Changchun Street, Beijing 100053, China
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