听觉变化检测中的诱导事件相关相干性测量

Fang Chunying, Li Haifeng, Ma Lin, Jiang Bing
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引用次数: 1

摘要

人类对不同的听觉输入有不同的反应,并具有自动区分的能力。针对听觉脑区受损后无法感知听觉变化的问题,本文提出了一种基于诱发事件相关相干性(induced event- relevant coherence, ERCoh)的评价方法,该方法量化了听觉脑区在听觉输入变化过程中的反应。为了研究听觉刺激下脑区功能耦合,对14名受试者进行了64通道的头皮脑电图记录。计算不同刺激下脑电各波段(δ、θ、α1、α2、β、y)的ERCoh,并进行统计学比较。结果表明,α频带可能反映了听觉变化的大脑加工过程,表现出标准、异常和新奇诱发反应的不同ERCoh现象。标准刺激的双侧半球相干性高于异常刺激和新奇刺激。对于每个刺激,相干性差异在右半球明显更大,右半球主要涉及听觉感知。此外,右侧额叶和颞叶ERCoh是由听觉变化的增加引起的。因此,诱导的ERCoh不仅是由不同的神经生理机制产生的,而且在评估听觉脑区损伤的功能意义上也有所不同。此外,基于ERCoh的脑电分类任务可用于潜在的脑机接口应用,为无法表达自己想法和需求的严重残疾人提供了潜在的唯一沟通渠道,因此,ERCoh是一种非常有前途的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Induced Event-Related Coherence Measures during Auditory Change Detection
Humans have different react to the different the auditory inputs and have the capability to automatically differentiate them. But, people cannot feel auditory change when auditory brain areas are damaged, in this paper a novel evaluation method is proposed based on induced event-related coherence (ERCoh), which quantified auditory brain areas response during auditory input change. To investigate the functional coupling of brain areas under auditory stimuli, sixtyfour-channel scalp electroencephalogram (EEG) were recorded for 14 subjects who were asked to listen different sounds. ERCoh of the EEG different bands (δ, θ, α1, α2, β and y) was calculated and compared statistically among different stimuli. The results suggest that alpha frequency band may reflect the cerebral processing of auditory changes by showing differential ERCoh phenomena among standard-, deviantand novel-elicited responses. The bilateral hemisphere coherence of the standard stimulus is higher than the deviant and novel stimulus in alpha band. For each stimulus, the coherence difference was clearly larger in the right hemisphere, which is mainly involved in auditory perception. Furthermore, the right frontal and temporal ERCoh is brought about by an increase in auditory changes. Thus, induced ERCoh does not only appear to be generated by distinct neurophysiological mechanisms but also differ with regard to their functional significance to evaluation auditory brain areas impairment. In addition, EEG classification task is accomplished based on ERCoh for potential BCI applications, which provide potentially the only communication channel for severely disabled people who are otherwise unable to articulate their thoughts and needs, Therefore, ERCoh is a very promising approach in the future.
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