Investigating the neurocognitive background of speech perception with a fast multi-feature MMN paradigm.

IF 1.8 4区 生物学 Q3 BIOLOGY Biologia futura Pub Date : 2024-03-01 Epub Date: 2024-05-28 DOI:10.1007/s42977-024-00219-1
Ferenc Honbolygó, Borbála Zulauf, Maria Ioanna Zavogianni, Valéria Csépe
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Abstract

The speech multi-feature MMN (Mismatch Negativity) offers a means to explore the neurocognitive background of the processing of multiple speech features in a short time, by capturing the time-locked electrophysiological activity of the brain known as event-related brain potentials (ERPs). Originating from Näätänen et al. (Clin Neurophysiol 115:140-144, 2004) pioneering work, this paradigm introduces several infrequent deviant stimuli alongside standard ones, each differing in various speech features. In this study, we aimed to refine the multi-feature MMN paradigm used previously to encompass both segmental and suprasegmental (prosodic) features of speech. In the experiment, a two-syllable long pseudoword was presented as a standard, and the deviant stimuli included alterations in consonants (deviation by place or place and mode of articulation), vowels (deviation by place or mode of articulation), and stress pattern in the first syllable of the pseudoword. Results indicated the emergence of MMN components across all segmental and prosodic contrasts, with the expected fronto-central amplitude distribution. Subsequent analyses revealed subtle differences in MMN responses to the deviants, suggesting varying sensitivity to phonetic contrasts. Furthermore, individual differences in MMN amplitudes were noted, partially attributable to participants' musical and language backgrounds. These findings underscore the utility of the multi-feature MMN paradigm for rapid and efficient investigation of the neurocognitive mechanisms underlying speech processing. Moreover, the paradigm demonstrated the potential to be used in further research to study the speech processing abilities in various populations.

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用快速多特征 MMN 范式研究语音感知的神经认知背景
语音多特征 MMN(错配负性)通过捕捉被称为 "事件相关脑电位"(ERPs)的大脑时间锁定电生理活动,为探索短时间内处理多个语音特征的神经认知背景提供了一种方法。该范式源于 Näätänen 等人(Clin Neurophysiol 115:140-144, 2004)的开创性工作,在标准刺激的同时引入了几个不常见的偏差刺激,每个刺激都有不同的语音特征。在本研究中,我们旨在改进之前使用的多特征 MMN 范式,使其同时包含语音的片段和超片段(前语)特征。在实验中,我们将一个双音节长假词作为标准,而偏差刺激包括辅音(发音位置偏差或发音位置和发音方式偏差)、元音(发音位置偏差或发音方式偏差)和假词第一个音节重音模式的改变。结果表明,在所有音段和拟声对比中都出现了 MMN 成分,其振幅呈预期的前中心分布。随后的分析表明,MMN 对偏差的反应存在微妙的差异,这表明对语音对比的敏感性各不相同。此外,MMN振幅也存在个体差异,这部分归因于参与者的音乐和语言背景。这些发现强调了多特征MMN范式在快速有效地研究语音处理的神经认知机制方面的实用性。此外,该范式还展示了在进一步研究不同人群语音处理能力方面的应用潜力。
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来源期刊
Biologia futura
Biologia futura Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
3.50
自引率
0.00%
发文量
27
期刊介绍: How can the scientific knowledge we possess now influence that future? That is, the FUTURE of Earth and life − of humankind. Can we make choices in the present to change our future? How can 21st century biological research ask proper scientific questions and find solid answers? Addressing these questions is the main goal of Biologia Futura (formerly Acta Biologica Hungarica). In keeping with the name, the new mission is to focus on areas of biology where major advances are to be expected, areas of biology with strong inter-disciplinary connection and to provide new avenues for future research in biology. Biologia Futura aims to publish articles from all fields of biology.
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