在阅读单个单词时,脑电图衍生的θ / α频段的大脑连通性会增强。

IF 3.9 3区 工程技术 Q2 NEUROSCIENCES
Cognitive Neurodynamics Pub Date : 2025-12-01 Epub Date: 2025-06-11 DOI:10.1007/s11571-025-10280-8
Fatemeh Delavari, Zachary Ekves, Roeland Hancock, Gerry T M Altmann, Sabato Santaniello
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引用次数: 0

摘要

目的:虽然通过磁成像和电成像对阅读的神经机制有了广泛的了解,但视觉阅读期间大脑网络的时间进化尚不清楚。我们测试了是否可以使用高密度头皮脑电图记录来跟踪视觉阅读中涉及的大脑功能连接的时间动态。方法:要求28名健康受试者在快速连续视觉呈现任务中阅读单词,同时记录头皮脑电图,用相锁定值估计脑电图通道在theta、alpha、beta和gamma频段之间的功能连通性。由此产生的网络随后被追踪。主要结果:随着任务的展开,网络的图密度逐渐增加,在每个单词出现150-250毫秒后达到峰值,并返回到静息状态值,而非相邻功能区之间的最短路径长度随着密度的增加而减少,这表明在头皮层面可以检测到区域之间的渐进整合。这种模式与单词在句子中的类型和位置无关,出现在θ / α波段而不出现在β / γ波段,α波段的峰值比θ波段早(α: 184±61.48 ms;意义:研究结果表明,在阅读过程中,脑网络的连通性可以通过头皮脑电图被追踪到,并且脑电图检索到的网络在阅读过程中呈现高度重复的模式,并向额/枕区侧化。补充资料:在线版本提供补充资料,网址为10.1007/s11571-025-10280-8。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EEG-derived brain connectivity in theta/alpha frequency bands increases during reading of individual words.

Objective: 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. Approach: 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. Main results: 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, P-value P < 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. Significance: 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.

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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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