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在阅读单个单词时,脑电图衍生的θ/α频段脑连接性增强。

EEG-derived brain connectivity in theta/alpha frequency bands increases during reading of individual words.

作者信息

Delavari Fatemeh, Ekves Zachary, Hancock Roeland, Altmann Gerry T M, Santaniello Sabato

机构信息

Biomedical Engineering Department, University of Connecticut, 260 Glenbrook Road, Unit 3247, Storrs, CT 06269-3247 USA.

Psychological Sciences Department of Psychological Sciences, University of Connecticut, 406 Babbidge Road, Unit 1020, Storrs, CT 06269-1020 USA.

出版信息

Cogn Neurodyn. 2025 Dec;19(1):90. doi: 10.1007/s11571-025-10280-8. Epub 2025 Jun 11.

Abstract

UNLABELLED

Although extensive insights about the neural mechanisms of reading have been gained via magnetic and electrographic imaging, the temporal evolution of the brain network during sight reading remains unclear. We tested whether the temporal dynamics of the brain functional connectivity involved in sight reading can be tracked using high-density scalp EEG recordings.  Twenty-eight healthy subjects were asked to read words in a rapid serial visual presentation task while recording scalp EEG, and phase locking value was used to estimate the functional connectivity between EEG channels in the theta, alpha, beta, and gamma frequency bands. The resultant networks were then tracked through time.  The network's graph density gradually increases as the task unfolds, peaks 150-250-ms after the appearance of each word, and returns to resting-state values, while the shortest path length between non-adjacent functional areas decreases as the density increases, thus indicating that a progressive integration between regions can be detected at the scalp level. This pattern was independent of the word's type or position in the sentence, occurred in the theta/alpha band but not in beta/gamma band, and peaked earlier in the alpha band compared to the theta band (alpha: 184 ± 61.48-ms; theta: 237 ± 65.32-ms, -value  < 0.01). Nodes in occipital and frontal regions had the highest eigenvector centrality throughout the word's presentation, and no significant lead-lag relationship between frontal/occipital regions and parietal/temporal regions was found, which indicates a consistent pattern in information flow. In the source space, this pattern was driven by a cluster of nodes linked to sensorimotor processing, memory, and semantic integration, with the most central regions being similar across subjects.  These findings indicate that the brain network connectivity can be tracked via scalp EEG as reading unfolds, and EEG-retrieved networks follow highly repetitive patterns lateralized to frontal/occipital areas during reading.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11571-025-10280-8.

摘要

未标注

尽管通过磁成像和电图成像已经获得了关于阅读神经机制的广泛见解,但视读过程中脑网络的时间演变仍不清楚。我们测试了是否可以使用高密度头皮脑电图记录来追踪视读过程中涉及的脑功能连接的时间动态。28名健康受试者在记录头皮脑电图的同时,被要求在快速序列视觉呈现任务中阅读单词,并使用锁相值来估计脑电图通道在θ、α、β和γ频段的功能连接。然后随时间追踪所得网络。随着任务的展开,网络的图密度逐渐增加,在每个单词出现后150 - 250毫秒达到峰值,然后恢复到静息状态值,而非相邻功能区域之间的最短路径长度随着密度的增加而减小,这表明在头皮水平可以检测到区域之间的渐进整合。这种模式与单词的类型或在句子中的位置无关,发生在θ/α频段而非β/γ频段,并且与θ频段相比,α频段的峰值出现得更早(α:184±61.48毫秒;θ:237±65.32毫秒,p值<0.01)。在整个单词呈现过程中枕叶和额叶区域的节点具有最高的特征向量中心性,并且未发现额叶/枕叶区域与顶叶/颞叶区域之间存在显著的超前 - 滞后关系,这表明信息流存在一致的模式。在源空间中,这种模式由与感觉运动处理、记忆和语义整合相关的一组节点驱动,最中心的区域在不同受试者之间相似。这些发现表明,随着阅读的展开,可以通过头皮脑电图追踪脑网络连接,并且脑电图检索到的网络在阅读过程中遵循高度重复的模式,偏向于额叶/枕叶区域。

补充信息

在线版本包含可在10.1007/s11571 - 025 - 10280 - 8获取的补充材料。

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