Department of Psychiatry and Behavioral Sciences, University of California, Davis, USA.
Department of Psychiatry, University of Colorado Anschutz Medical Campus, USA.
J Psychiatr Res. 2024 Jul;175:411-417. doi: 10.1016/j.jpsychires.2024.05.042. Epub 2024 May 17.
Theories of psychotic illness suggest that abnormal intrinsic functional connectivity may explain its characteristic positive and disorganization symptoms as well as lead to impaired general functioning. Here we used resting state functional magnetic resonance imaging (fMRI) to evaluate associations between these symptoms and the degree to which global connectivity is abnormal in early psychosis (EP). Eighty-six healthy controls (HCs) and 108 individuals with EP with resting state fMRI data were included in primary analyses. The EP group included 83 participants with schizophrenia-spectrum disorders and 25 with bipolar disorder type I with psychotic features. A global intrinsic connectivity "similarity index" for each EP individual was determined by calculating its correlation with the average HC connectivity matrix extracted using Schaefer atlases of multiple parcellations (100, 200, 300, and 400 region parcellations). As hypothesized, connectivity similarity with the average HC matrix was negatively associated with Brief Psychiatric Rating Scale total score, Scale for the Assessment of Positive Symptoms total score, and disorganization symptoms. Similarity was also positively associated with Global Assessment of Functioning score. Results were not driven by sex or diagnosis effects and were consistent across parcellation schemes. These results support the hypothesis that changes in whole-brain connectivity patterns are associated with psychosis symptoms and support the use of functional connectivity as a biomarker for these symptoms in EP.
精神疾病理论表明,异常的内在功能连接可能解释其特征性的阳性和紊乱症状,并导致一般功能受损。在这里,我们使用静息态功能磁共振成像 (fMRI) 来评估这些症状与早期精神病 (EP) 中整体连接异常程度之间的关系。主要分析包括 86 名健康对照 (HC) 和 108 名有静息态 fMRI 数据的 EP 个体。EP 组包括 83 名精神分裂症谱系障碍患者和 25 名有精神病特征的 I 型双相情感障碍患者。通过计算每个 EP 个体与使用 Schaefer 图谱提取的平均 HC 连接矩阵的相关性,确定其全局内在连接的“相似性指数”(100、200、300 和 400 区域分割)。正如假设的那样,与平均 HC 矩阵的连接相似性与简明精神病评定量表总分、阳性症状评定量表总分和紊乱症状呈负相关。相似性也与总体功能评估评分呈正相关。结果不受性别或诊断效应的影响,并且在分割方案中是一致的。这些结果支持这样一种假设,即全脑连接模式的变化与精神病症状有关,并支持将功能连接用作 EP 这些症状的生物标志物。