Clinic and Policlinic for Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße, 52, W37, EG, Room 107/109, 20246, Hamburg, Germany.
Center for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.
Sci Rep. 2024 Nov 1;14(1):26284. doi: 10.1038/s41598-024-78297-3.
The diagnosis of schizophrenia is associated with a complex psychopathology related to disrupted brain circuitry causing a failure in coordinating information across brain sites with no consensus regarding the mechanisms. Although schizophrenia is well-studied, the great majority of studies investigated pre-selected ROIs or Seed-based connectivity. Whole brain ROI-wise studies that consider all ROIs available simultaneously are lacking. This technique helps understand large- and local-scale dynamics of information exchange across the whole brain. We investigated ROI-wise whole brain networks in 35 participants diagnosed with schizophrenia and 41 control participants. To unveil dysfunctions in brain subnetworks and to characterize network topology, we applied a statistical tool specially developed for network comparison called network-based statistic and graph theory. We observed a hyperconnected thalamo-cortico-cerebellar subnetwork in participants with schizophrenia; nodal analysis revealed higher number of thalamic connections. Our results suggest disruptions at the local level of the subnetwork rather than globally spread across the brain and driven by hyperconnectivity. Importantly, this subnetwork emerged from an exploratory analysis directly comparing ROI-wise whole brain network. This fact makes it an important contribution to the field as additional evidence, demonstrating the high reliability of malfunction in the local thalamo-cortico-cerebellar network.
精神分裂症的诊断与复杂的精神病理学相关,与大脑回路的中断有关,导致大脑区域之间的信息协调失败,其机制尚无共识。尽管精神分裂症研究得很好,但绝大多数研究都针对预先选定的 ROI 或基于种子的连通性进行了研究。缺乏同时考虑所有可用 ROI 的全脑 ROI 研究。这项技术有助于了解整个大脑中信息交换的大尺度和局部尺度动态。我们对 35 名精神分裂症患者和 41 名对照组参与者进行了 ROI 全脑网络研究。为了揭示脑子网中的功能障碍并描述网络拓扑,我们应用了一种专门为网络比较开发的统计工具,称为基于网络的统计和图论。我们观察到精神分裂症患者存在丘脑皮质小脑子网络的超连接;节点分析显示,丘脑连接数量更高。我们的结果表明,子网络中的紊乱发生在局部水平,而不是在整个大脑中广泛传播,并由超连接驱动。重要的是,这个子网络是从直接比较 ROI 全脑网络的探索性分析中出现的。这一事实使其成为该领域的一个重要贡献,为局部丘脑皮质小脑网络功能障碍的高可靠性提供了额外证据。