Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, 610041, Chengdu, Sichuan, China.
Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, 610041, Chengdu, Sichuan, China.
BMC Psychiatry. 2022 Jan 10;22(1):26. doi: 10.1186/s12888-021-03674-5.
Recent neuroimaging studies revealed dysregulated neurodevelopmental, or/and neurodegenerative trajectories of both structural and functional connections in schizophrenia. However, how the alterations in the brain's structural connectivity lead to dynamic function changes in schizophrenia with age remains poorly understood.
Combining structural magnetic resonance imaging and a network control theory approach, the white matter network controllability metric (average controllability) was mapped from age 16 to 60 years in 175 drug-naïve schizophrenia patients and 155 matched healthy controls.
Compared with controls, the schizophrenia patients demonstrated the lack of age-related decrease on average controllability of default mode network (DMN), as well as the right precuneus (a hub region of DMN), suggesting abnormal maturational development process in schizophrenia. Interestingly, the schizophrenia patients demonstrated an accelerated age-related decline of average controllability in the subcortical network, supporting the neurodegenerative model. In addition, compared with controls, the lack of age-related increase on average controllability of the left inferior parietal gyrus in schizophrenia patients also suggested a different pathway of brain development.
By applying the control theory approach, the present study revealed age-related changes in the ability of white matter pathways to control functional activity states in schizophrenia. The findings supported both the developmental and degenerative hypotheses of schizophrenia, and suggested a particularly high vulnerability of the DMN and subcortical network possibly reflecting an illness-related early marker for the disorder.
最近的神经影像学研究表明,精神分裂症患者的结构和功能连接存在神经发育或/和神经退行性轨迹失调。然而,大脑结构连接的变化如何导致精神分裂症患者随年龄增长的动态功能变化仍知之甚少。
结合结构磁共振成像和网络控制理论方法,在 175 名未经药物治疗的精神分裂症患者和 155 名匹配的健康对照者中,从 16 岁到 60 岁,绘制了白质网络可控性指标(平均可控性)。
与对照组相比,精神分裂症患者在默认模式网络(DMN)的平均可控性上缺乏与年龄相关的降低,以及右侧楔前叶(DMN 的一个枢纽区域),这表明精神分裂症的成熟发育过程异常。有趣的是,精神分裂症患者在皮质下网络中表现出与年龄相关的平均可控性加速下降,支持神经退行性模型。此外,与对照组相比,精神分裂症患者左侧顶下小叶的平均可控性缺乏与年龄相关的增加,这也表明了大脑发育的不同途径。
通过应用控制理论方法,本研究揭示了精神分裂症患者白质通路控制功能活动状态的能力与年龄相关的变化。研究结果支持了精神分裂症的发育和退行性假说,并提示 DMN 和皮质下网络的特别高的脆弱性,可能反映了与疾病相关的早期标志物。