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人类水平和垂直聚散的大规模皮质-小脑计算。

Large-scale cortico-cerebellar computations for horizontal and vertical vergence in humans.

机构信息

Division of Psychology, Department of Human Sciences, Faculty of Human-Environment Studies, Kyushu University, 744 Moto-oka, Nishi-ku, Fukuoka, 819-0395, Japan.

Department of Clinical Neurophysiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, Fukuoka, 812-8582, Japan.

出版信息

Sci Rep. 2022 Jul 8;12(1):11672. doi: 10.1038/s41598-022-15780-9.

Abstract

Horizontal and vertical vergence eye movements play a central role in binocular coordination. Neurophysiological studies suggest that cortical and subcortical regions in animals and humans are involved in horizontal vergence. However, little is known about the extent to which the neural mechanism underlying vertical vergence overlaps with that of horizontal vergence. In this study, to explore neural computation for horizontal and vertical vergence, we simultaneously recorded electrooculography (EOG) and whole-head magnetoencephalography (MEG) while presenting large-field stereograms for 29 healthy human adults. The stereograms were designed to produce vergence responses by manipulating horizontal and vertical binocular disparities. A model-based approach was used to assess neural sensitivity to horizontal and vertical disparities via MEG source estimation and the theta-band (4 Hz) coherence between brain activity and EOG vergence velocity. We found similar time-locked neural responses to horizontal and vertical disparity in cortical and cerebellar areas at around 100-250 ms after stimulus onset. In contrast, the low-frequency oscillatory neural activity associated with the execution of vertical vergence differed from that of horizontal vergence. These findings indicate that horizontal and vertical vergence involve partially shared but distinct computations in large-scale cortico-cerebellar networks.

摘要

水平和垂直聚散眼动在双眼协调中起着核心作用。神经生理学研究表明,动物和人类的皮质和皮质下区域参与了水平聚散。然而,对于垂直聚散的神经机制在多大程度上与水平聚散重叠,人们知之甚少。在这项研究中,为了探索水平和垂直聚散的神经计算,我们同时记录了眼电图(EOG)和全头磁脑图(MEG),同时向 29 名健康成年人呈现大视场立体图像。这些立体图像通过操纵水平和垂直双眼视差来产生聚散反应。我们使用基于模型的方法通过 MEG 源估计和大脑活动与 EOG 聚散速度之间的θ带(4 Hz)相干性来评估神经对水平和垂直视差的敏感性。我们发现,在刺激开始后约 100-250 毫秒,皮质和小脑区域存在与水平和垂直视差相似的时间锁定神经反应。相比之下,与执行垂直聚散相关的低频振荡神经活动与水平聚散不同。这些发现表明,水平和垂直聚散涉及在大规模皮质-小脑网络中部分共享但不同的计算。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9efd/9270479/79c1a13d7b9e/41598_2022_15780_Fig1_HTML.jpg

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