Department of Engineering Science, University of Oxford, Oxford OX1 4AR, United Kingdom.
Department of Psychology, Yale University, New Haven 06510, CT, United States; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Hempstead 11030, NY, United States; Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks 11004, NY, United States.
Neuroimage. 2021 Feb 1;226:117508. doi: 10.1016/j.neuroimage.2020.117508. Epub 2020 Nov 4.
Along the pathway from behavioral symptoms to the development of psychotic disorders sits the multivariate mediating brain. The functional organization and structural topography of large-scale multivariate neural mediators among patients with brain disorders, however, are not well understood. Here, we design a high-dimensional brain-wide functional mediation framework to investigate brain regions that intermediate between baseline behavioral symptoms and future conversion to full psychosis among individuals at clinical high risk (CHR). Using resting-state functional magnetic resonance imaging (fMRI) data from 263 CHR subjects, we extract an α brain atlas and a β brain atlas: the former underlines brain areas associated with prodromal symptoms and the latter highlights brain areas associated with disease onset. In parallel, we identify and separate mediators that potentially positively and negatively mediate symptoms and psychosis, respectively, and quantify the effect of each neural mediator on disease development. Taken together, these results paint a brain-wide picture of neural markers that are potentially mediating behavioral symptoms and the development of psychotic disorders; additionally, they underscore a statistical framework that is useful to uncover large-scale intermediating variables in a regulatory biological system.
沿着从行为症状到精神病发展的途径,存在一个多变量的中介大脑。然而,人们对患有脑部疾病的患者之间的大规模多变量神经中介的功能组织和结构地形学还不太了解。在这里,我们设计了一个高维全脑功能中介框架,以研究在临床高风险(CHR)个体中,从基线行为症状到未来发展为全面精神病的过程中,处于中间位置的大脑区域。我们使用 263 名 CHR 受试者的静息状态功能磁共振成像(fMRI)数据,提取出一个α脑图谱和一个β脑图谱:前者强调与前驱症状相关的脑区,后者突出与疾病发作相关的脑区。同时,我们确定并分离出可能分别积极和消极地中介症状和精神病的中介物,并量化每个神经中介物对疾病发展的影响。总的来说,这些结果描绘了一幅全脑图,显示了可能中介行为症状和精神病发展的神经标记物;此外,它们强调了一个统计框架,该框架有助于揭示调节生物系统中的大规模中介变量。