病程相关的精神分裂症患者大脑灰质体积发展轨迹  

Illness duration–related developmental trajectory of progressive cerebral gray matter changes in schizophrenia

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作  者:常鑫 杨智欢 唐英杰 孙小滢 罗程[1,2,3] 尧德中 CHANG Xin;YANG Zhihuan;TANG Yingjie;SUN Xiaoying;LUO Cheng;YAO Dezhong(The Clinical Hospital of Chengdu Brain Science Institute,MOE Key Lab for Neuroinformation,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China;Research Unit of NeuroInformation,Chinese Academy of Medical Sciences,Chengdu 611731,P.R.China;High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China)

机构地区:[1]电子科技大学生命科学与技术学院神经信息教育部重点实验室、成都脑科学研究院临床医院,成都611731 [2]中国医学科学院神经信息创新单元2019RU035,成都611731 [3]电子科技大学四川省高场磁共振脑成像重点实验室,成都611731

出  处:《生物医学工程学杂志》2025年第2期293-299,307,共8页Journal of Biomedical Engineering

基  金:国家自然科学基金重点项目(61933003);国家自然科学基金(62201133)。

摘  要:不同疾病阶段的精神分裂症患者灰质体积的改变往往受到不同病理机制的调控。相对于分析患者阶段性变化,本研究联合多元结构协变模型和滑动窗方法,探究了病程相关的精神分裂症患者大脑灰质体积发展轨迹。该轨迹被定义为稀疏化有向矩阵表征的一系列病程顺序激活的脑区。将该方法应用于145例精神分裂症患者的结构磁共振影像数据,观察到精神分裂症灰质体积从皮层到皮层下的连续发展轨迹,平均每0.208年变化一次,时间窗口覆盖了20.176年,起点广泛分布于除腹侧注意网络外的所有其他网络。该研究结果有利于加深对精神分裂症神经病理机制的理解,且有助于根据灰质体积异常起点脑区开发辅助临床诊断及干预的方法。In different stages of schizophrenia(SZ), alterations in gray matter volume(GMV) of patients are normally regulated by various pathological mechanisms. Instead of analyzing stage-specific changes, this study employed a multivariate structural covariance model and sliding-window approach to investigate the illness durationrelated developmental trajectory of GMV in SZ. The trajectory is defined as a sequence of brain regions activated by illness duration, represented as a sparsely directed matrix. By applying this approach to structural magnetic resonance imaging data from 145 patients with SZ, we observed a continuous developmental trajectory of GMV from cortical to subcortical regions, with an average change occurring every 0.208 years, covering a time window of 20.176 years. The starting points were widely distributed across all networks, except for the ventral attention network. These findings provide insights into the neuropathological mechanism of SZ with a neuroprogressive model and facilitate the development of process for aided diagnosis and intervention with the starting points.

关 键 词:精神分裂症 灰质体积 结构协变网络 发展轨迹 

分 类 号:R749.3[医药卫生—神经病学与精神病学]

 

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