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Structural brain alterations in primary open angle glaucoma: a 3T MRI study

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机构: [1]State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academyof Sciences, Beijing, China [2]Department of Radiology,Beijing Tongren Hospital,Capital Medical University,China [3]Department of Medical Psychology, Otto-von-Guericke University of Magdeburg, Medical Faculty, Institute ofMedical Psychology, Magdeburg, Germany [4]Research Center for Brain-inspired Intelligence, Institute of Automation,Chinese Academy of Sciences, Beijing, China [5]Department of Ophthalmology,Beijing Tongren Hospital,CapitalMedical University,China
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Glaucoma is not only an eye disease but is also associated with degeneration of brain structures. We now investigated the pattern of visual and non-visual brain structural changes in 25 primary open angle glaucoma (POAG) patients and 25 age-gender-matched normal controls using T1-weighted imaging. MRI images were subjected to volume-based analysis (VBA) and surface-based analysis (SBA) in the whole brain as well as ROI-based analysis of the lateral geniculate nucleus (LGN), visual cortex (V1/2), amygdala and hippocampus. While VBA showed no significant differences in the gray matter volumes of patients, SBA revealed significantly reduced cortical thickness in the right frontal pole and ROI-based analysis volume shrinkage in LGN bilaterally, right V1 and left amygdala. Structural abnormalities were correlated with clinical parameters in a subset of the patients revealing that the left LGN volume was negatively correlated with bilateral cup-to-disk ratio (CDR), the right LGN volume was positively correlated with the mean deviation of the right visual hemifield, and the right V1 cortical thickness was negatively correlated with the right CDR in glaucoma. These results demonstrate that POAG affects both vision-related structures and non-visual cortical regions. Moreover, alterations of the brain visual structures reflect the clinical severity of glaucoma.

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出版当年[2015]版:
大类 | 2 区 综合性期刊
小类 | 2 区 综合性期刊
最新[2023]版:
大类 | 2 区 综合性期刊
小类 | 2 区 综合性期刊
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出版当年[2014]版:
Q1 MULTIDISCIPLINARY SCIENCES
最新[2023]版:
Q1 MULTIDISCIPLINARY SCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2014版] 出版当年五年平均 出版前一年[2013版] 出版后一年[2015版]

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第一作者机构: [1]State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academyof Sciences, Beijing, China
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通讯机构: [1]State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academyof Sciences, Beijing, China [4]Research Center for Brain-inspired Intelligence, Institute of Automation,Chinese Academy of Sciences, Beijing, China
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