Temporal Dynamics of Electroencephalography Microstates Reveal Altered Attention Processing in Individuals With Prelingual Deafness.

IF 2.2
Tongao Zeng, Niannian Wang, Han Zhu, Hongli Xiao, Fuxiang Li, Hao Li, Xin Wei, Jie Chen, Fuyi Yang, Hailin Ma
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Abstract

Purpose: Brain network dysfunction is associated with many diseases. Electroencephalography (EEG) microstates provide valuable insights into brain dynamics and the connection between abnormal brain activity and cognitive functions. However, few studies have examined the relationship between microstate patterns and attentional functions in deaf individuals. This study explores how hearing loss and sign language experience influence attentional processing in deaf individuals using EEG microstates.

Method: Thirty-nine prelingual deaf signers, 39 hearing nonsigners, and 27 hearing signers participated. Resting-state EEG and Attention Network Test data were collected. Using an improved k-means clustering method, microstate time series were generated, and microstate parameters were compared across the groups. Regression analyses assessed correlations between microstate features and attentional functions.

Results: Deaf and hearing signers showed similar alerting variability, significantly more stable than hearing nonsigners. Hearing signers activated Microstate C (salience network) more frequently and relied less on Microstate A (auditory network), suggesting that sign language experience influences alerting. Deaf signers displayed lower executive control than both hearing nonsigners and hearing signers, with no significant difference between the latter two groups. Furthermore, deaf signers had reduced activation in Microstate D (attention network), and microstate parameters significantly predicted executive control variability. This suggests that hearing loss disrupts executive control efficiency. However, all three groups performed similarly on orienting functions and Microstate B (visual network), indicating that these functions are unaffected by auditory deprivation or sign language experience.

Conclusions: The results suggest that salience network plasticity from sign language experience helps mitigate alerting deficits, while auditory deprivation causes dysfunction in attention networks and executive functions. EEG microstates offer insights into the neurophysiological mechanisms behind sensory deprivation.

脑电微观状态的时间动态揭示语前耳聋个体注意加工的改变。
目的:脑网络功能障碍与多种疾病有关。脑电图(EEG)的微观状态为大脑动力学以及异常大脑活动与认知功能之间的联系提供了有价值的见解。然而,很少有研究研究微观状态模式与聋人注意功能之间的关系。本研究利用脑电图微态分析了听力损失和手语经验对聋人注意加工的影响。方法:39名语前聋人手语者、39名听力正常的非手语者和27名听力正常的手语者参与研究。采集静息状态脑电图和注意网络测试数据。采用改进的k-means聚类方法生成微状态时间序列,并比较各组间的微状态参数。回归分析评估了微状态特征与注意功能之间的相关性。结果:聋人和听力健全的手语使用者表现出相似的警报变异性,明显比听力健全的非手语使用者更稳定。听力健全的手语者更频繁地激活微状态C(突出网络),而较少依赖微状态A(听觉网络),这表明手语经验影响警报。聋人手语者的执行控制能力低于听力正常的非手语者和听力正常的手语者,后两组之间没有显著差异。此外,聋人手语的微状态D(注意网络)激活减少,微状态参数显著预测执行控制变异性。这表明听力损失会破坏执行控制效率。然而,所有三组在定向功能和微状态B(视觉网络)上的表现相似,表明这些功能不受听觉剥夺或手语经验的影响。结论:来自手语经验的显著网络可塑性有助于减轻警觉性缺陷,而听觉剥夺则导致注意网络和执行功能的功能障碍。脑电图微观状态提供了对感觉剥夺背后的神经生理机制的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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