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对计数任务做出反应时特定感觉模态的时空动态。

Sensory modality-specific spatio-temporal dynamics in response to counting tasks.

作者信息

Gohel Bakul, Jeong Yong

机构信息

Department of Bio and Brain Engineering, Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Department of Bio and Brain Engineering, Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

出版信息

Neurosci Lett. 2014 Oct 3;581:20-5. doi: 10.1016/j.neulet.2014.08.015. Epub 2014 Aug 15.

Abstract

From perception to behavior, the human brain processes information in a flexible and abstract manner independent of an input sensory modality. However, the mechanism of such multisensory neural information processing in the brain remains under debate. Relatedly, studies often aim to investigate whether certain brain regions behave in a modality-specific manner or invariantly. Previous studies regarding multisensory information processing have commonly reported only on the activation of brain regions in response to unimodal or multimodal sensory stimuli. However, less attention has been given to the modality effect on the dynamics of such regions, which could advance our understanding of neuronal information processing. In this study, we investigated whether brain regions show modality-specific or invariant high-temporal dynamics. Electrocardiogram (EEG) was recorded from healthy, normal subjects during beep-, flash- and click-counting tasks, which corresponded to auditory, visual and tactile modalities, respectively. EEG dynamics regarding event-related spectral perturbations (ERSP) in ICA time-series data were compared across the sensory modalities using a multivariate pattern analysis. We found modality-specific EEG dynamics in the prefrontal cortex, whereas we found modality-specific and cross-modal dynamics in the early visual cortex.

摘要

从感知到行为,人类大脑以一种灵活且抽象的方式处理信息,独立于输入的感觉模态。然而,大脑中这种多感觉神经信息处理的机制仍存在争议。相关地,研究通常旨在调查某些脑区是以模态特异性方式还是以不变的方式运作。以往关于多感觉信息处理的研究通常仅报告了脑区对单模态或多模态感觉刺激的激活情况。然而,对于这种区域动态的模态效应关注较少,而这可能会推进我们对神经元信息处理的理解。在本研究中,我们调查了脑区是否表现出模态特异性或不变的高时间动态。在健康正常受试者进行蜂鸣声计数、闪光计数和点击计数任务期间记录脑电图(EEG),这些任务分别对应听觉、视觉和触觉模态。使用多变量模式分析,在感觉模态之间比较了独立成分分析(ICA)时间序列数据中与事件相关的频谱扰动(ERSP)的脑电图动态。我们在前额叶皮层发现了模态特异性的脑电图动态,而在早期视觉皮层发现了模态特异性和跨模态动态。

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