目的:采用核磁共振成像及优化的基于体素形态学研究(voxel based morphometry,VBM)新技术分析未经治疗的首发精神分裂症患者的脑结构非对称性改变。方法:对符合DSM-IV精神分裂症诊断标准,同时未经药物治疗的首发精神分裂症住院患者以及...目的:采用核磁共振成像及优化的基于体素形态学研究(voxel based morphometry,VBM)新技术分析未经治疗的首发精神分裂症患者的脑结构非对称性改变。方法:对符合DSM-IV精神分裂症诊断标准,同时未经药物治疗的首发精神分裂症住院患者以及正常志愿者各20例进行核磁共振扫描脑结构成像及基于VBM的脑非对称性分析。结果:病例组较正常对照显示出明显的正常非对称性减低甚至反转的改变。正常右利手左半球优势区域如额上回、颞中回、扣带回、眶回、尾状核头以及丘脑的非对称性下降;中央后回非对称性反转;海马及海马旁回的右大于左的非对称性增加。结论:脑非对称性在未用药物治疗的首发精神分裂症患者中有明显的异常改变,提示精神分裂症患者存在原发的脑结构非对称性异常,脑非对称性紊乱的存在反映了神经异常发育与精神分裂症的发病的关联。精神分裂症患者存在的脑结构非对称性异常可能构成了精神分裂症的神经生物学表征。展开更多
A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia,such as voxel-based morphometry(VBM),tensor-based morphometry(TBM...A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia,such as voxel-based morphometry(VBM),tensor-based morphometry(TBM),and projection-based thickness(PBT),is important for understanding the brain pathology in schizophrenia and for developing effective biomarkers for a diagnosis of schizophrenia.However,such studies are still lacking.Here,we performed VBM,TBM,and PBT analyses on T1-weighted brain MR images acquired from 116 patients with schizophrenia and 116 healthy controls.We found that,although all methods detected wide-spread structural changes,different methods captured different information-only 10.35%of the grey matter changes in cortex were detected by all three methods,and VBM only detected 11.36%of the white matter changes detected by TBM.Further,pattern classification between patients and controls revealed that combining different measures improved the classification accuracy(81.9%),indicating that fusion of different structural measures serves as a better neuroimaging marker for the objective diagnosis of schizophrenia.展开更多
文摘目的:采用核磁共振成像及优化的基于体素形态学研究(voxel based morphometry,VBM)新技术分析未经治疗的首发精神分裂症患者的脑结构非对称性改变。方法:对符合DSM-IV精神分裂症诊断标准,同时未经药物治疗的首发精神分裂症住院患者以及正常志愿者各20例进行核磁共振扫描脑结构成像及基于VBM的脑非对称性分析。结果:病例组较正常对照显示出明显的正常非对称性减低甚至反转的改变。正常右利手左半球优势区域如额上回、颞中回、扣带回、眶回、尾状核头以及丘脑的非对称性下降;中央后回非对称性反转;海马及海马旁回的右大于左的非对称性增加。结论:脑非对称性在未用药物治疗的首发精神分裂症患者中有明显的异常改变,提示精神分裂症患者存在原发的脑结构非对称性异常,脑非对称性紊乱的存在反映了神经异常发育与精神分裂症的发病的关联。精神分裂症患者存在的脑结构非对称性异常可能构成了精神分裂症的神经生物学表征。
基金This work was supported by the National Key Research and Development Program of China(2017 YFC0909201 and 2018YFC1314300)the National Natural Science Foundation of China(81571659,81971694,81971599,81771818,81425013,and 81871052)and the Tianjin Key Technology R&D Program(17ZXMFSY00090).
文摘A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia,such as voxel-based morphometry(VBM),tensor-based morphometry(TBM),and projection-based thickness(PBT),is important for understanding the brain pathology in schizophrenia and for developing effective biomarkers for a diagnosis of schizophrenia.However,such studies are still lacking.Here,we performed VBM,TBM,and PBT analyses on T1-weighted brain MR images acquired from 116 patients with schizophrenia and 116 healthy controls.We found that,although all methods detected wide-spread structural changes,different methods captured different information-only 10.35%of the grey matter changes in cortex were detected by all three methods,and VBM only detected 11.36%of the white matter changes detected by TBM.Further,pattern classification between patients and controls revealed that combining different measures improved the classification accuracy(81.9%),indicating that fusion of different structural measures serves as a better neuroimaging marker for the objective diagnosis of schizophrenia.