National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, PR China.
Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, PR China.
Schizophr Bull. 2019 Mar 7;45(2):450-463. doi: 10.1093/schbul/sby046.
Brain network alterations have increasingly been implicated in schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD). However, little is known about the similarities and differences in functional brain networks among patients with SCZ, BD, and MDD. A total of 512 participants (121 with SCZ, 100 with BD, 108 with MDD, and 183 healthy controls, matched for age and sex) completed resting-state functional magnetic resonance imaging at a single site. Four global measures (the clustering coefficient, the characteristic shortest path length, the normalized clustering coefficient, and the normalized characteristic path length) were computed at a voxel level to quantify segregated and integrated configurations. Inter-regional functional associations were examined based on the Euclidean distance between regions. Distance strength maps were used to localize regions with altered distances based on functional connectivity. Patient groups exhibited shifts in their network architectures toward randomized configurations, with SCZ>BD>MDD in the degree of randomization. Patient groups displayed significantly decreased short-range connectivity and increased medium-/long-range connectivity. Decreases in short-range connectivity were similar across the SZ, BD, and MDD groups and were primarily distributed in the primary sensory and association cortices and the thalamus. Increases in medium-/long-range connectivity were differentially localized within the prefrontal cortices among the patient groups. We highlight shared and distinct connectivity features in functional brain networks among patients with SCZ, BD, and MDD, which expands our understanding of the common and distinct pathophysiological mechanisms and provides crucial insights into neuroimaging-based methods for the early diagnosis of and interventions for psychiatric disorders.
脑网络改变越来越多地被认为与精神分裂症（SCZ）、双相情感障碍（BD）和重度抑郁症（MDD）有关。然而，对于 SCZ、BD 和 MDD 患者之间功能性脑网络的相似性和差异性知之甚少。共有 512 名参与者（121 名 SCZ 患者、100 名 BD 患者、108 名 MDD 患者和 183 名健康对照者，按年龄和性别匹配）在一个地点完成了静息态功能磁共振成像。在体素水平计算了四个全局度量（聚类系数、特征最短路径长度、归一化聚类系数和归一化特征路径长度），以量化分离和整合的配置。根据区域之间的欧几里得距离检查区域间的功能关联。距离强度图用于基于功能连接定位距离改变的区域。患者组表现出其网络架构向随机化配置的转变，其中 SCZ>BD>MDD 的随机化程度更高。患者组显示出短程连接显著减少，中程/长程连接增加。短程连接的减少在 SZ、BD 和 MDD 组中是相似的，主要分布在初级感觉和联合皮层以及丘脑。中程/长程连接的增加在患者组中在前额皮质内有差异定位。我们强调了 SCZ、BD 和 MDD 患者功能性脑网络中的共享和独特连接特征，这扩展了我们对共同和独特病理生理机制的理解，并为基于神经影像学的早期诊断和干预精神疾病的方法提供了重要见解。
