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基于注意力状态的脑电图神经反馈训练:一项基于源定位和有效连接的研究。

Electroencephalography Neurofeedback Training with Focus on the State of Attention: An Investigation Using Source Localization and Effective Connectivity.

机构信息

Department of Electrical Engineering, Federal University of Espírito Santo, Vitoria 29075-910, Brazil.

Department of Physiological Sciences, Federal University of Espírito Santo, Vitoria 29040-090, Brazil.

出版信息

Sensors (Basel). 2024 Sep 19;24(18):6056. doi: 10.3390/s24186056.

DOI:10.3390/s24186056
PMID:39338801
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11435502/
Abstract

Identifying brain activity and flow direction can help in monitoring the effectiveness of neurofeedback tasks that aim to treat cognitive deficits. The goal of this study was to compare the neuronal electrical activity of the cortex between individuals from two groups-low and high difficulty-based on a spatial analysis of electroencephalography (EEG) acquired through neurofeedback sessions. These sessions require the subjects to maintain their state of attention when executing a task. EEG data were collected during three neurofeedback sessions for each person, including theta and beta frequencies, followed by a comprehensive preprocessing. The inverse solution based on cortical current density was applied to identify brain regions related to the state of attention. Thereafter, effective connectivity between those regions was estimated using the Directed Transfer Function. The average cortical current density of the high-difficulty group demonstrated that the medial prefrontal, dorsolateral prefrontal, and temporal regions are related to the attentional state. In contrast, the low-difficulty group presented higher current density values in the central regions. Furthermore, for both theta and beta frequencies, for the high-difficulty group, flows left and entered several regions, unlike the low-difficulty group, which presented flows leaving a single region. In this study, we identified which brain regions are related to the state of attention in individuals who perform more demanding tasks (high-difficulty group).

摘要

识别大脑活动和流向有助于监测旨在治疗认知缺陷的神经反馈任务的有效性。本研究的目的是通过神经反馈会话获取的脑电图(EEG)的空间分析,比较来自两个组(低难度组和高难度组)的个体的皮层神经元电活动。这些会话要求受试者在执行任务时保持注意力状态。对每个人进行了三次神经反馈会话,包括θ和β频率的 EEG 数据采集,随后进行全面的预处理。基于皮层电流密度的逆解被应用于识别与注意力状态相关的脑区。然后,使用定向传递函数估计这些区域之间的有效连通性。高难度组的平均皮层电流密度表明,内侧前额叶、背外侧前额叶和颞叶区域与注意力状态有关。相比之下,低难度组的中央区域呈现出更高的电流密度值。此外,对于θ和β频率,对于高难度组,流向左并进入了几个区域,而低难度组则表现出离开单个区域的流。在这项研究中,我们确定了在执行更具挑战性任务的个体(高难度组)中与注意力状态相关的脑区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef82/11435502/0389d3d193f9/sensors-24-06056-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef82/11435502/28d66ebb8cbf/sensors-24-06056-g002.jpg
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