Paton Angus, 't-Jong Tineke Grent-, Gajwani Ruchika, Gross Joachim, Gumley Andrew I, Lawrie Stephen M, Schwannauer Matthias, Schultze-Lutter Frauke, Uhlhaas Peter J
Institute for Neuroscience and Psychology, Univ. of Glasgow, UK.
Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
Neuroimage Clin. 2025 May 12;47:103803. doi: 10.1016/j.nicl.2025.103803.
Schizophrenia involves aberrant connectivity of anatomical and functional networks. However, it is currently unclear whether such disruptions are present in clinical high-risk for psychosis (CHR-P) participants and whether there may be an overlap between structural and functional connectivity alterations. We obtained diffusion magnetic resonance imaging (dMRI) and resting-state, magnetic resonance imaging (rsfMRI) data from N = 110 CHR-P participants and N = 49 healthy controls (HC). A network analysis approach was employed to explore differences in dMRI and rsfMRI connectivity as well as potential overlap between both modalities. In addition, correlations between dMRI and rsfMRI-data, clinical and neurocognitive variables as well as with clinical outcomes were investigated. We observed hyper- and hypoconnectivity across occipital, parietal, temporal, and frontal cortices in both dMRI and rsfMRI-data in CHR-Ps. Moreover, dMRI- and rsfMRI-defined overlapping nodes that differed between CHR-Ps vs. HC overlapped with visual networks, right ventral attention network, and right default mode network. Correlational analyses indicated significant relationships between the severity of CHR-P symptoms, cognitive deficits, and dMRI/rsfMRI-defined hypo- and hyper-connectivity. Finally, CHR-P individuals with persistent attenuated psychotic symptoms (APS) were characterised by aberrant dMRI and rsfMRI connectivity compared to non-persistent APS. Our study shows subtle but widespread disruptions in dMRI and rsfMRI connectivity in CHR-P participants. Specifically, we identified several occipital, parietal, temporal, and frontal regions that were characterised by hyper and hypoconnectivity which correlated with the severity of clinical symptoms and cognitive impairments. Moreover, our findings suggest that dMRI and rsfMRI connectivity measures could serve as a potential biomarker for clinical outcomes in CHR-Ps.
精神分裂症涉及解剖学和功能网络的异常连接。然而,目前尚不清楚这种破坏是否存在于临床精神病高危(CHR-P)参与者中,以及结构和功能连接改变之间是否可能存在重叠。我们从N = 110名CHR-P参与者和N = 49名健康对照(HC)中获取了扩散磁共振成像(dMRI)和静息态磁共振成像(rsfMRI)数据。采用网络分析方法探讨dMRI和rsfMRI连接性的差异以及两种模式之间的潜在重叠。此外,还研究了dMRI和rsfMRI数据、临床和神经认知变量以及与临床结局之间的相关性。我们在CHR-P患者的dMRI和rsfMRI数据中观察到枕叶、顶叶、颞叶和额叶皮质的连接增强和减弱。此外,CHR-P患者与HC患者之间不同的dMRI和rsfMRI定义的重叠节点与视觉网络、右侧腹侧注意网络和右侧默认模式网络重叠。相关分析表明,CHR-P症状的严重程度、认知缺陷与dMRI/rsfMRI定义的连接减弱和增强之间存在显著关系。最后,与非持续性APS患者相比,持续性精神症状减弱(APS)的CHR-P个体具有异常的dMRI和rsfMRI连接性。我们的研究表明,CHR-P参与者的dMRI和rsfMRI连接性存在细微但广泛的破坏。具体而言,我们确定了几个枕叶、顶叶、颞叶和额叶区域,其特征是连接增强和减弱,这与临床症状的严重程度和认知障碍相关。此外,我们的研究结果表明,dMRI和rsfMRI连接性测量可以作为CHR-P患者临床结局的潜在生物标志物。