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利用 EEG 的频谱分析进行语言侧化检测。

Detection of Language Lateralization Using Spectral Analysis of EEG.

机构信息

Department of Neurology, Stanford University School of Medicine, Palo Alto, California, U.S.A.

Wu Tsai Neurosciences Institute, Stanford, California, U.S.A.; and.

出版信息

J Clin Neurophysiol. 2024 May 1;41(4):334-343. doi: 10.1097/WNP.0000000000000988.

Abstract

PURPOSE

Language lateralization relies on expensive equipment and can be difficult to tolerate. We assessed if lateralized brain responses to a language task can be detected with spectral analysis of electroencephalography (EEG).

METHODS

Twenty right-handed, neurotypical adults (28 ± 10 years; five males) performed a verb generation task and two control tasks (word listening and repetition). We measured changes in EEG activity elicited by tasks (the event-related spectral perturbation [ERSP]) in the theta, alpha, beta, and gamma frequency bands in two language (superior temporal and inferior frontal [ST and IF]) and one control (occipital [Occ]) region bilaterally. We tested whether language tasks elicited (1) changes in spectral power from baseline (significant ERSP) at any region or (2) asymmetric ERSPs between matched left and right regions.

RESULTS

Left IF beta power (-0.37±0.53, t = -3.12, P = 0.006) and gamma power in all regions decreased during verb generation. Asymmetric ERSPs (right > left) occurred between the (1) IF regions in the beta band (right vs. left difference of 0.23±0.37, t(19) = -2.80, P = 0.0114) and (2) ST regions in the alpha band (right vs. left difference of 0.48±0.63, t(19) = -3.36, P = 0.003). No changes from baseline or hemispheric asymmetries were noted in language regions during control tasks. On the individual level, 16 (80%) participants showed decreased left IF beta power from baseline, and 16 showed ST alpha asymmetry. Eighteen participants (90%) showed one of these two findings.

CONCLUSIONS

Spectral EEG analysis detects lateralized responses during language tasks in frontal and temporal regions. Spectral EEG analysis could be developed into a readily available language lateralization modality.

摘要

目的

语言侧化依赖于昂贵的设备,且难以耐受。我们评估了语言任务的大脑偏侧化反应是否可以通过脑电图(EEG)的频谱分析来检测。

方法

20 名右利手、神经典型成年人(28 ± 10 岁;5 名男性)进行动词生成任务和两个控制任务(单词聆听和重复)。我们在双侧颞上(ST)和额下回(IF)两个语言区和一个控制区(枕叶 [Occ])测量任务诱发的 EEG 活动变化(事件相关谱微扰 [ERSP])在 theta、alpha、beta 和 gamma 频带中的变化。我们测试了语言任务是否引发了(1)任何区域的基线(显著 ERSP)的光谱功率变化,或(2)匹配的左右区域之间的不对称 ERSP。

结果

左 IF 区 beta 功率(-0.37±0.53,t=-3.12,P=0.006)和所有区域的 gamma 功率在动词生成时均降低。在(1)beta 频段的 IF 区之间(右侧与左侧差异为 0.23±0.37,t(19)=-2.80,P=0.0114)和(2)alpha 频段的 ST 区之间(右侧与左侧差异为 0.48±0.63,t(19)=-3.36,P=0.003)出现了不对称 ERSP(右侧>左侧)。在控制任务中,语言区没有出现基线变化或半球不对称。在个体水平上,16 名(80%)参与者的左 IF beta 功率从基线下降,16 名参与者的 ST alpha 不对称。18 名参与者(90%)出现了这两种发现之一。

结论

频谱 EEG 分析可检测到额颞区语言任务中的偏侧化反应。频谱 EEG 分析可能发展成为一种易于获得的语言侧化模态。

相似文献

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Detection of Language Lateralization Using Spectral Analysis of EEG.利用 EEG 的频谱分析进行语言侧化检测。
J Clin Neurophysiol. 2024 May 1;41(4):334-343. doi: 10.1097/WNP.0000000000000988.

本文引用的文献

1
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing.用于多模态自然语言处理的脑电图脑活动解码
Front Hum Neurosci. 2021 Jul 13;15:659410. doi: 10.3389/fnhum.2021.659410. eCollection 2021.

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