Metzner Christoph, Dimulescu Cristiana, Kamp Fabian, Fromm Sophie, Uhlhaas Peter J, Obermayer Klaus
Neural Information Processing Group, Institute of Software Engineering and Theoretical Computer Science, Technische Universität Berlin, Berlin, Germany.
Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Front Psychiatry. 2024 Feb 13;15:1352641. doi: 10.3389/fpsyt.2024.1352641. eCollection 2024.
We examined changes in large-scale functional connectivity and temporal dynamics and their underlying mechanisms in schizophrenia (ScZ) through measurements of resting-state functional magnetic resonance imaging (rs-fMRI) data and computational modelling.
The rs-fMRI measurements from patients with chronic ScZ (n=38) and matched healthy controls (n=43), were obtained through the public schizConnect repository. Computational models were constructed based on diffusion-weighted MRI scans and fit to the experimental rs-fMRI data.
We found decreased large-scale functional connectivity across sensory and association areas and for all functional subnetworks for the ScZ group. Additionally global synchrony was reduced in patients while metastability was unaltered. Perturbations of the computational model revealed that decreased global coupling and increased background noise levels both explained the experimentally found deficits better than local changes to the GABAergic or glutamatergic system.
The current study suggests that large-scale alterations in ScZ are more likely the result of global rather than local network changes.
我们通过静息态功能磁共振成像（rs-fMRI）数据测量和计算建模，研究了精神分裂症（ScZ）患者大规模功能连接和时间动态变化及其潜在机制。
通过公共的schizConnect数据库获得慢性ScZ患者（n = 38）和匹配的健康对照者（n = 43）的rs-fMRI测量数据。基于扩散加权磁共振成像扫描构建计算模型，并将其拟合到实验性rs-fMRI数据。
我们发现ScZ组在感觉和联合区域以及所有功能子网中的大规模功能连接减少。此外，患者的全局同步性降低，而亚稳定性未改变。计算模型的扰动表明，全局耦合降低和背景噪声水平增加比GABA能或谷氨酸能系统的局部变化更能解释实验发现的缺陷。
当前研究表明，ScZ中的大规模改变更可能是全局而非局部网络变化的结果。
