基于传递熵对反社会行为大脑效应连接模式的研究  

Detecting abnormalities in the brain network associated with antisocial behavior using transfer entropy

作　　者：李霖 李帅齐 吴翔宇[2] 刘华生[3] 王维[3] 蒋伟雄 LI Lin;LI Shuaiqi;WU Xiangyu;LIU Huasheng;WANG Wei;JIANG Weixiong(College of Mathematical Medicine,Zhejiang Normal University,Jinhua 321004,China;The Research Center for Children’s Literature,Zhejiang Normal University,Jinhua 321004,China;Department of Radiology,The Third Xiangya Hospital,Central South University,Changsha 410013,China;Nanbei Lake Institute for Artificial Intelligence in Medicine,Haiyan 314300,China)

机构地区：[1]浙江师范大学数理医学院,金华321004 [2]浙江师范大学儿童文学研究中心,金华321004 [3]中南大学湘雅三医院放射科,长沙410013 [4]海盐县南北湖医学人工智能研究院,海盐314300

出　　处：《电子科技大学学报》2025年第2期288-293,共6页Journal of University of Electronic Science and Technology of China

基　　金：教育部人文社科基金规划项目(19YJAZH035);浙江省金华市科技计划重点项目(2024-3-026);校地合作平台(PTK12924003)。

摘　　要：研究采用传递熵方法对反社会行为(antisocial behavior, ASB)个体的大脑功能异常进行了神经网络效应分析。结果显示,ASB组的效应连接全局同步性显著下降,同时节点的介数中心性和度中心性存在显著差异。其中,右侧颞叶、左侧枕叶及梭状体的节点介数中心性显著降低,而左侧额下回、脑岛和楔前叶则显著增加。节点度中心性的变化表现为右侧额中回等区域降低,而双侧中央后回、左侧颞下回、脑岛等区域升高。此外,ASB组在14个典型大脑网络中呈现显著不同的效应连接模式。这些发现为理解反社会行为的神经基础提供了重要启示。In this study,the transfer entropy method is used to investigate the neural network effects on brainfunctional abnormalities in individuals with antisocial behavior(ASB).The results reveal a significant decrease inglobal synchronization properties within the ASB group,and most importantly,significant regional differences innodal betweenness and nodal degree centrality.Particularly,individuals with ASB exhibit a significant decrease innodal betweenness centrality in the right temporal lobe,left occipital lobe,and fusiform,coupled with a significantincrease in the left inferior frontal gyrus,insula,and precuneus.Alterations in nodal degree centrality manifest adecrease in regions such as the right middle to medial frontal gyrus and superior occipital lobe,alongside anincrease in regions such as the bilateral posterior central gyrus,left inferior temporal gyrus,and insula.Furthermore,the ASB group displays significantly different connectivity patterns across 14 typical brain networks.These findings provide important insights for understanding the neural basis of antisocial behavior.

关 键 词：反社会行为 脑网络 节点中心性 静息态功能MRI 传递熵 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TP181[自动化与计算机技术—计算机科学与技术]