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White Matter Deficits Underlying the Impaired Consciousness Level in Patients with Disorders of Consciousness.

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机构: [1]Neurosurgical Department, Shanghai Huashan Hospital, Fudan University, Shanghai 200040, China [2]State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China [3]Centre for Medical Image Computing, Department of Computer Science, University College London, London WC1E 6BT, UK [4]Radiological Department, Shanghai Huashan Hospital, Fudan University, Shanghai 200040, China [5]Psychiatry Department, Shanghai Huashan Hospital, Fudan University, Shanghai 200040, China [6]Huajia Hospital, Shanghai 200438, China [7]Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA [8]Institute of Mental Health Research, University of Ottawa, Ottawa, ON K1Z 7K4, Canada
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In this study, we aimed to (1) identify white matter (WM) deficits underlying the consciousness level in patients with disorders of consciousness (DOCs) using diffusion tensor imaging (DTI), and (2) evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest (ROIs), and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.

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出版当年[2017]版:
大类 | 3 区 医学
小类 | 4 区 神经科学
最新[2023]版:
大类 | 2 区 医学
小类 | 3 区 神经科学
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出版当年[2016]版:
Q3 NEUROSCIENCES
最新[2023]版:
Q1 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [1]Neurosurgical Department, Shanghai Huashan Hospital, Fudan University, Shanghai 200040, China
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通讯机构: [1]Neurosurgical Department, Shanghai Huashan Hospital, Fudan University, Shanghai 200040, China [2]State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
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