Metzner Christoph, Mäki-Marttunen Tuomo, Karni Gili, McMahon-Cole Hana, Steuber Volker
Neural Information Processing Group, Institute of Software Engineering and Theoretical Computer Science, Technische Universität Berlin, Berlin, Germany.
Biocomputation Research Group, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
Schizophrenia (Heidelb). 2022 Apr 28;8(1):46. doi: 10.1038/s41537-022-00255-7.
Abnormalities in the synchronized oscillatory activity of neurons in general and, specifically in the gamma band, might play a crucial role in the pathophysiology of schizophrenia. While these changes in oscillatory activity have traditionally been linked to alterations at the synaptic level, we demonstrate here, using computational modeling, that common genetic variants of ion channels can contribute strongly to this effect. Our model of primary auditory cortex highlights multiple schizophrenia-associated genetic variants that reduce gamma power in an auditory steady-state response task. Furthermore, we show that combinations of several of these schizophrenia-associated variants can produce similar effects as the more traditionally considered synaptic changes. Overall, our study provides a mechanistic link between schizophrenia-associated common genetic variants, as identified by genome-wide association studies, and one of the most robust neurophysiological endophenotypes of schizophrenia.
一般而言,神经元同步振荡活动异常,尤其是γ频段的异常,可能在精神分裂症的病理生理学中起关键作用。虽然这些振荡活动的变化传统上与突触水平的改变有关,但我们在此使用计算模型证明,离子通道的常见基因变异可对这种效应产生强烈影响。我们的初级听觉皮层模型突出了多个与精神分裂症相关的基因变异,这些变异在听觉稳态反应任务中降低了γ功率。此外,我们表明,这些与精神分裂症相关的变异中的几种组合可产生与传统上认为的突触变化相似的效果。总体而言,我们的研究在全基因组关联研究确定的与精神分裂症相关的常见基因变异与精神分裂症最可靠的神经生理内表型之一之间建立了一种机制联系。