Department of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Department of Medical Imaging, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Hum Brain Mapp. 2022 Sep;43(13):3909-3922. doi: 10.1002/hbm.25892. Epub 2022 May 13.
Emerging evidence suggests white matter network abnormalities in patients with schizophrenia (SZ) and bipolar disorder (BD), but the alterations in dynamics of the white matter network in patients with SZ and BD are largely unknown. The white matter network of patients with SZ (n = 45) and BD (n = 47) and that of healthy controls (HC, n = 105) were constructed. We used dynamics network control theory to quantify the dynamics metrics of the network, including controllability and synchronizability, to measure the ability to transfer between different states. Experiments show that the patients with SZ and BD showed decreasing modal controllability and synchronizability and increasing average controllability. The correlations between the average controllability and synchronizability of patients were broken, especially for those with SZ. The patients also showed alterations in brain regions with supercontroller roles and their distribution in the cognitive system. Finally, we were able to accurately discriminate and predict patients with SZ and BD. Our findings provide novel dynamic metrics evidence that patients with SZ and BD are characterized by a selective disruption of brain network controllability, potentially leading to reduced brain state transfer capacity, and offer new guidance for the clinical diagnosis of mental illness.
新出现的证据表明精神分裂症（SZ）和双相情感障碍（BD）患者的脑白质网络异常，但 SZ 和 BD 患者脑白质网络动态变化在很大程度上尚不清楚。构建了 SZ 患者（n=45）、BD 患者（n=47）和健康对照者（HC，n=105）的脑白质网络。我们使用动态网络控制理论来量化网络的动力学指标，包括可控性和同步性，以测量在不同状态之间转移的能力。实验表明，SZ 和 BD 患者的模态可控性和同步性降低，平均可控性增加。患者的平均可控性和同步性之间的相关性被打破，特别是对于 SZ 患者。患者的大脑区域也表现出超控制器角色的改变及其在认知系统中的分布。最后，我们能够准确地区分和预测 SZ 和 BD 患者。我们的研究结果提供了新的动态指标证据，表明 SZ 和 BD 患者的脑网络可控性存在选择性破坏，可能导致脑状态转移能力降低，为精神疾病的临床诊断提供了新的指导。
