Wang Jing, Chen Jianshan, Li Junle, Wu Qiuxia, Sun Jiaqi, Zhang Xiaofei, Li Xuan, Yang Chanjuan, Cao Liping, Wang Jinhui
Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China.
Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China.
J Affect Disord. 2025 Jul 1;380:401-412. doi: 10.1016/j.jad.2025.03.151. Epub 2025 Mar 27.
Adolescence is a pivotal phase marked by heightened vulnerability to the onset of psychiatric disorders. However, there are few transdiagnostic studies of dynamic brain networks across major psychiatric disorders during this phase.
We collected resting-state functional MRI data from 189 adolescent patients (61 with bipolar disorder, 73 with major depressive disorder, and 55 with schizophrenia) and 181 healthy adolescents. Functional networks were constructed using a state-of-art edge-centric dynamic functional connectivity (DFC) approach.
Four DFC states were identified for the healthy adolescents that were related to different behavioral and cognitive terms. Disorder-related alterations were observed in two states involving motor and somatosensory processing and one state involving various cognitive functions. Regardless of the state, the three patient groups exhibited lower FC that were mainly involved in edges between different functional subsystems and were predominantly linked to regions in the somatomotor network. The patients with major depressive disorder additionally showed increased FC that were primarily linked to default mode regions. Graph-based network analysis revealed different patterns of disrupted small-world organization and altered nodal degree in the disorders in a state-dependent manner. The nodal degree alterations were correlated with the concentration of various neurotransmitters. Intriguingly, the noradrenaline concentration was engaged in the nodal degree alterations in each patient group. Finally, decreased FC involving regions in the somatomotor network showed significant correlations with clinical variables in the major depressive disorder patients.
These findings may help understand the developmental pathways associated with the heightened vulnerability to major psychiatric disorders during adolescence.
青春期是一个关键阶段，其特点是更容易患上精神疾病。然而，在这个阶段，针对主要精神疾病的动态脑网络进行跨诊断研究的却很少。
我们收集了189名青少年患者（61名双相情感障碍患者、73名重度抑郁症患者和55名精神分裂症患者）以及181名健康青少年的静息态功能磁共振成像数据。使用一种先进的以边为中心的动态功能连接（DFC）方法构建功能网络。
在健康青少年中识别出四种与不同行为和认知术语相关的DFC状态。在涉及运动和体感处理的两种状态以及涉及各种认知功能的一种状态中观察到与疾病相关的改变。无论处于何种状态，这三组患者均表现出较低的功能连接，主要涉及不同功能子系统之间的边，并且主要与躯体运动网络中的区域相连。重度抑郁症患者还表现出功能连接增加，主要与默认模式区域相关。基于图的网络分析揭示了在不同疾病状态下小世界组织破坏和节点度改变的不同模式。节点度改变与各种神经递质的浓度相关。有趣的是，去甲肾上腺素浓度参与了每组患者的节点度改变。最后，涉及躯体运动网络区域的功能连接降低与重度抑郁症患者的临床变量显著相关。
这些发现可能有助于理解与青春期更容易患上主要精神疾病相关的发育途径。
