Dynamic changes in electrical brain activity during passive learning of foreign speech sound discrimination.

IF 2.9 2区 医学 Q2 NEUROSCIENCES
Qin Li, Jari L O Kurkela, Kaisa Lohvansuu, Jarmo A Hämäläinen, Xueqiao Li, Weiyong Xu, Piia Astikainen
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引用次数: 0

Abstract

Previous brain research on phonetic learning of foreign speech sounds has focused on learning outcomes, mostly neglecting the dynamical neural changes during learning. In the present study, Finnish-speaking participants listened passively to a repeated presentation of vowel /a/ with infrequent changes in Mandarin tone for 2 h per day for 4 consecutive days while their brain activity was recorded using electroencephalography. While our previous study has reported the brain activity changes from test recordings conducted before and after the sound exposure, we here analyzed the data recorded during the exposure. We investigated learning dynamics across daily exposure sessions using event-related potentials and multivariate pattern analysis and within sessions using a sliding average across trials. Both mismatch negativity and P3a-markers of change detection and preattentive attention shifts-exhibited learning-related changes in both the event-related potential analysis and multivariate pattern analysis. Changes in multivariate pattern analysis were evident after the first 2-h training session, while event-related potential-based effects emerged later. During the daily exposure sessions, the mismatch negativity amplitude gradually decreased over the first 3 d, whereas the P3a amplitude exhibited an opposite trend, showing a significant increase, and only on day 1. These findings demonstrate dynamic neural changes driven by passive exposure and pave the way for investigating learning processes across multiple levels of analysis, including event-related potential, single-trial dynamics, and machine learning-based methods.

外语语音识别被动学习过程中脑电活动的动态变化。
以往关于外语语音语音学习的脑学研究主要集中在学习结果上,而忽略了学习过程中神经的动态变化。在本研究中,以芬兰语为母语的参与者连续4天,每天2小时被动地听普通话声调不频繁变化的元音/a/的重复呈现,同时用脑电图记录他们的大脑活动。虽然我们之前的研究报告了在声音暴露前后进行的测试记录中大脑活动的变化,但我们在这里分析了暴露期间记录的数据。我们使用事件相关电位和多变量模式分析调查了日常暴露会话中的学习动态,并在会话内使用滑动平均值进行了试验。在事件相关电位分析和多变量模式分析中,失配负性和p3a(变化检测和前注意转移的标记)均表现出与学习相关的变化。在第一个2小时的训练后,多变量模式分析的变化是明显的,而事件相关的基于电位的效应随后出现。在每日暴露时段,错配负性振幅在前3 d逐渐下降,而P3a振幅则呈现相反的趋势,仅在第1天显著增加。这些发现证明了被动暴露驱动的动态神经变化,为研究多层次分析的学习过程铺平了道路,包括事件相关电位、单次试验动态和基于机器学习的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cerebral cortex
Cerebral cortex 医学-神经科学
CiteScore
6.30
自引率
8.10%
发文量
510
审稿时长
2 months
期刊介绍: Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.
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