Wang Min, Wang Lingxiao, Yang Bo, Yuan Lixia, Wang Xiuqin, Potenza Marc N, Dong Guang Heng
Center for Cognition and Brain Disorders, School of Clinical Medicine and the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, PR China.
Department of Psychiatry and Child Study Center, Yale University School of Medicine, New Haven, CT 201942, USA.
Brain Commun. 2022 Aug 1;4(4):fcac177. doi: 10.1093/braincomms/fcac177. eCollection 2022.
Human and animal studies on brain functions in subjects with autism spectrum disorder have confirmed the aberrant organization of functional networks. However, little is known about the neural features underlying these impairments. Using community structure analyses (recruitment and integration), the current study explored the functional network features of individuals with autism spectrum disorder from one database (101 individuals with autism spectrum disorder and 120 healthy controls) and tested the replicability in an independent database (50 individuals with autism spectrum disorder and 74 healthy controls). Additionally, the study divided subjects into different age groups and tested the features in different subgroups. As for recruitment, subjects with autism spectrum disorder had lower coefficients in the default mode network and basal ganglia network than healthy controls. The integration results showed that subjects with autism spectrum disorder had a lower coefficient than healthy controls in the default mode network-medial frontal network and basal ganglia network-limbic networks. The results for the default mode network were mostly replicated in the independent database, but the results for the basal ganglia network were not. The results for different age groups were also analysed, and the replicability was tested in different databases. The lower recruitment in subjects with autism spectrum disorder suggests that they are less efficient at engaging these networks when performing relevant tasks. The lower integration results suggest impaired flexibility in cognitive functions in individuals with autism spectrum disorder. All these findings might explain why subjects with autism spectrum disorder show impaired brain networks and have important therapeutic implications for developing potentially effective interventions.
针对自闭症谱系障碍患者大脑功能的人体和动物研究证实了功能网络的异常组织。然而,对于这些损伤背后的神经特征却知之甚少。本研究采用社区结构分析(招募和整合),从一个数据库(101名自闭症谱系障碍患者和120名健康对照)中探索了自闭症谱系障碍个体的功能网络特征,并在一个独立数据库(50名自闭症谱系障碍患者和74名健康对照)中测试了其可重复性。此外,该研究将受试者分为不同年龄组,并测试了不同亚组的特征。在招募方面,自闭症谱系障碍患者在默认模式网络和基底神经节网络中的系数低于健康对照。整合结果显示,自闭症谱系障碍患者在默认模式网络-内侧额叶网络和基底神经节网络-边缘网络中的系数低于健康对照。默认模式网络的结果在独立数据库中大多得到了重复,但基底神经节网络的结果却没有。还分析了不同年龄组的结果,并在不同数据库中测试了可重复性。自闭症谱系障碍患者较低的招募率表明,他们在执行相关任务时参与这些网络的效率较低。较低的整合结果表明自闭症谱系障碍个体的认知功能灵活性受损。所有这些发现可能解释了为什么自闭症谱系障碍患者表现出大脑网络受损,并且对开发潜在有效的干预措施具有重要的治疗意义。