使用事件编码理论框架连接 EEG 信号分解和反应选择过程。

Connecting EEG signal decomposition and response selection processes using the theory of event coding framework.

机构信息

Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universitat Dresden, Dresden, Germany.

Institute of Neurogenetics, University of Lübeck, Lübeck, Germany.

出版信息

Hum Brain Mapp. 2020 Jul;41(10):2862-2877. doi: 10.1002/hbm.24983. Epub 2020 Mar 9.

Abstract

The neurophysiological mechanisms underlying the integration of perception and action are an important topic in cognitive neuroscience. Yet, connections between neurophysiology and cognitive theoretical frameworks have rarely been established. The theory of event coding (TEC) details how perceptions and actions are associated (bound) in a common representational domain (the "event file"), but the neurophysiological mechanisms underlying these processes are hardly understood. We used complementary neurophysiological methods to examine the neurophysiology of event file processing (i.e., event-related potentials [ERPs], temporal EEG signal decomposition, EEG source localization, time-frequency decomposition, EEG network analysis). We show that the P3 ERP component and activity modulations in inferior parietal regions (BA40) reflect event file binding processes. The relevance of this parietal region is corroborated by source localization of temporally decomposed EEG data. We also show that temporal EEG signal decomposition reveals a pattern of results suggesting that event file processes can be dissociated from pure stimulus and response-related processes in the EEG signal. Importantly, it is also documented that event file binding processes are reflected by modulations in the network architecture of theta frequency band activity. That is, when stimulus-response bindings in event files hamper response selection this was associated with a less efficient theta network organization. A more efficient organization was evident when stimulus-response binding in event files facilitated response selection. Small-world network measures seem to reflect event file processing. The results show how cognitive-theoretical assumptions of TEC can directly be mapped to the neurophysiology of response selection.

摘要

感知与行为整合的神经生理机制是认知神经科学的一个重要课题。然而,神经生理学与认知理论框架之间的联系很少建立。事件编码理论 (TEC) 详细说明了感知和行为如何在共同的表示域(“事件文件”)中相关联(绑定),但这些过程的神经生理机制却知之甚少。我们使用互补的神经生理学方法来研究事件文件处理的神经生理学(即事件相关电位 [ERP]、时间 EEG 信号分解、EEG 源定位、时频分解、EEG 网络分析)。我们表明,P3 ERP 成分和下顶叶区域 (BA40) 的活动调制反映了事件文件绑定过程。时间分解 EEG 数据的源定位证实了该顶叶区域的相关性。我们还表明,时间 EEG 信号分解揭示了一种结果模式,表明事件文件过程可以与 EEG 信号中的纯刺激和反应相关过程区分开来。重要的是,还记录到事件文件绑定过程反映了θ频带活动网络结构的调制。也就是说,当事件文件中的刺激-反应绑定阻碍反应选择时,与θ网络组织效率较低相关。当事件文件中的刺激-反应绑定促进反应选择时,出现了更有效的组织。小世界网络测量似乎反映了事件文件处理。结果表明,TEC 的认知理论假设如何直接映射到反应选择的神经生理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c07d/7294061/6b169da17feb/HBM-41-2862-g001.jpg

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