Georgia State University, Atlanta, GA, USA; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, USA.
Georgia State University, Atlanta, GA, USA; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, USA.
Neuroimage Clin. 2024;41:103584. doi: 10.1016/j.nicl.2024.103584. Epub 2024 Feb 28.
Psychosis (including symptoms of delusions, hallucinations, and disorganized conduct/speech) is a main feature of schizophrenia and is frequently present in other major psychiatric illnesses. Studies in individuals with first-episode (FEP) and early psychosis (EP) have the potential to interpret aberrant connectivity associated with psychosis during a period with minimal influence from medication and other confounds. The current study uses a data-driven whole-brain approach to examine patterns of aberrant functional network connectivity (FNC) in a multi-site dataset comprising resting-state functional magnetic resonance images (rs-fMRI) from 117 individuals with FEP or EP and 130 individuals without a psychiatric disorder, as controls. Accounting for age, sex, race, head motion, and multiple imaging sites, differences in FNC were identified between psychosis and control participants in cortical (namely the inferior frontal gyrus, superior medial frontal gyrus, postcentral gyrus, supplementary motor area, posterior cingulate cortex, and superior and middle temporal gyri), subcortical (the caudate, thalamus, subthalamus, and hippocampus), and cerebellar regions. The prominent pattern of reduced cerebellar connectivity in psychosis is especially noteworthy, as most studies focus on cortical and subcortical regions, neglecting the cerebellum. The dysconnectivity reported here may indicate disruptions in cortical-subcortical-cerebellar circuitry involved in rudimentary cognitive functions which may serve as reliable correlates of psychosis.
精神病(包括妄想、幻觉和行为/言语紊乱的症状)是精神分裂症的主要特征,并且经常存在于其他主要精神疾病中。对首发(FEP)和早期精神病(EP)患者的研究有潜力解释与精神病相关的异常连接,因为在此期间,药物和其他混杂因素的影响最小。本研究使用数据驱动的全脑方法,在包含 117 名 FEP 或 EP 患者和 130 名无精神障碍对照者的静息态功能磁共振成像(rs-fMRI)多部位数据集,检查异常功能网络连接(FNC)模式。考虑到年龄、性别、种族、头部运动和多个成像部位,在皮质(即额下回、额上内侧回、中央后回、辅助运动区、后扣带回和颞上回和中回)、皮质下(尾状核、丘脑、下丘脑和海马)和小脑区域,在精神病患者和对照组参与者之间发现了 FNC 的差异。精神病患者小脑连接减少的突出模式尤其值得注意,因为大多数研究都集中在皮质和皮质下区域,而忽略了小脑。这里报告的连接异常可能表明与基本认知功能相关的皮质-皮质下-小脑回路的中断,这可能是精神病的可靠相关指标。