METHODS: We quantified the dynamic structure-function coupling in 452 patients with psychiatric disorders (MDD/BD/SZ = 166/168/118) and 205 unaffected controls at three distinct brain network levels, such as global, meso-, and local levels. We also correlated dynamic structure-function coupling with the topological features of functional networks to examine how the structure-function relationship facilitates brain information communication over time.
RESULTS: The dynamic structure-function coupling is preserved for the three disorders at the global network level. Similar abnormalities in the rich-club organization are found in two distinct functional configuration states at the meso-level and are associated with the disease severity of MDD, BD, and SZ. At the local level, shared and unique alterations are observed in the brain regions involving the visual, cognitive control, and default mode networks. In addition, the relationships between structure-function coupling and the topological features of functional networks are altered in a manner indicative of state specificity.
CONCLUSIONS: These findings suggest both transdiagnostic and illness-specific alterations in the dynamic structure-function relationship of large-scale brain networks across MDD, BD, and SZ, providing new insights and potential biomarkers into the neurodevelopmental basis underlying the behavioral and cognitive deficits observed in these disorders.
方法:我们量化了452名精神疾病患者(MDD/BD/SZ=166/168/118)和205名未受影响的对照患者在三个不同的脑网络水平上的动态结构-功能耦合。例如全球,中观-,和地方层面。我们还将动态结构-功能耦合与功能网络的拓扑特征相关联,以研究结构-功能关系如何随着时间的推移促进大脑信息交流。
结果:在全球网络水平上,这三种疾病的动态结构-功能耦合得以保留。在中观水平的两个不同的功能配置状态中发现了丰富的俱乐部组织中的类似异常,并且与MDD的疾病严重程度有关。BD,和SZ。在地方一级,在涉及视觉的大脑区域观察到共享和独特的改变,认知控制,和默认模式网络。此外,结构-功能耦合与功能网络的拓扑特征之间的关系以指示状态特异性的方式改变。
结论:这些发现表明跨MDD的大规模脑网络的动态结构-功能关系的转诊和疾病特异性改变,BD,SZ,为在这些疾病中观察到的行为和认知缺陷的神经发育基础提供新的见解和潜在的生物标志物。