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作 者:吴琼 王荣 WU Qiong;WANG Rong(College of Sciences,X'an University of Science and Technology,X'an 710054,China)
出 处:《科学技术与工程》2025年第3期953-961,共9页Science Technology and Engineering
基 金:国家自然科学基金(12272292)。
摘 要:为了研究精神分裂症患者和健康对照组在任务转换过程中基于任务的全脑功能连接,通过嵌套谱划分方法(nested-spectral partition,NSP)量化全脑网络的整合和分离程度,解释精神分裂症患者和健康对照组大脑网络的不同重塑模式。结果表明,精神分裂症患者全脑功能连接模式的变化是由较低的网络整合度和较高的分离度驱动的,这表明精神分裂症患者在任务切换时的全局和全网络水平局部信息传输效率低于健康对照组。此外,使用简单的线性相关分析了任务切换成本(反应时间和切换成本)与任务状态模块化之间的关联。发现精神分裂症患者较低的全脑模块化程度和较低的突显网络模块化程度与较大的切换成本有关,但与整个任务的平均反应时间无关。与此相反,健康对照组患者较高的皮层网络模块化与较快的任务反应时间有关,但与较短的切换成本无关。总之,结果表明量化不同任务状态下的功能网络配置可以提供有关认知控制表现的信息。In order to study the task-based functional connectivity of the whole brain in schizophrenia patients and healthy controls during task switching,the NSP(nested-spectral partition)method was used to quantify the degree of integration and segregation of the whole brain network and explain differential remodeling patterns of brain networks in schizophrenia patients and healthy controls.Re-sults show that changes in whole-brain functional connectivity patterns in schizophrenia are driven by lower network integration and higher segregation,suggesting global and network-wide local information transfer during task switching in schizophrenia patients effi-ciency was lower than that of healthy controls.Furthermore,the association between task switching costs(reaction time and switching costs)and task state modularity was analyzed using simple linear correlation.Lower whole-brain modularity and lower salience network modularity in schizophrenia were found to be associated with larger switch costs but not with mean reaction times across the task.In contrast,higher cortical network modularity in healthy control patients was associated with faster task reaction times but not with shorter switch costs.Taken together,the results suggest that quantifying functional network configurations across different task states can pro-vide information about cognitive control performance.
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