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用于汉语语义认知的可穿戴式脑磁图记录的神经振荡差异参数化

Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition.

作者信息

Liang Xiaoyu, Wu Huanqi, Ma Yuyu, Liu Changzeng, Ning Xiaolin

机构信息

School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China.

Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.

出版信息

Biology (Basel). 2025 Jan 18;14(1):91. doi: 10.3390/biology14010091.

Abstract

Neural oscillations observed during semantic processing embody the function of brain language processing. Precise parameterization of the differences in these oscillations across various semantics from a time-frequency perspective is pivotal for elucidating the mechanisms of brain language processing. The superlet transform and cluster depth test were used to compute the time-frequency representation of oscillatory difference (ODTFR) between neural activities recorded by optically pumped magnetometer-based magnetoencephalography (OPM-MEG) during processing congruent and incongruent Chinese semantics. Subsequently, ODTFR was parameterized based on the definition of local events. Finally, this study calculated the specific time-frequency values at which oscillation differences occurred in multiple auditory-language-processing regions. It was found that these oscillatory differences appeared in most regions and were mainly concentrated in the beta band. The average peak frequency of these oscillatory differences was 15.7 Hz, and the average peak time was 457 ms. These findings offer a fresh perspective on the neural mechanisms underlying the processing of distinct Chinese semantics and provide references and insights for analyzing language-related brain activities recorded by OPM-MEG.

摘要

语义处理过程中观察到的神经振荡体现了大脑语言处理的功能。从时频角度对这些振荡在不同语义间的差异进行精确参数化,对于阐明大脑语言处理机制至关重要。使用超小波变换和聚类深度测试来计算基于光泵磁力计的脑磁图(OPM-MEG)在处理一致和不一致的中文语义时记录的神经活动之间的振荡差异时频表示(ODTFR)。随后,根据局部事件的定义对ODTFR进行参数化。最后,本研究计算了多个听觉语言处理区域中出现振荡差异的特定时频值。研究发现,这些振荡差异出现在大多数区域,且主要集中在β波段。这些振荡差异的平均峰值频率为15.7Hz,平均峰值时间为457ms。这些发现为不同中文语义处理的神经机制提供了新的视角,并为分析OPM-MEG记录的与语言相关的大脑活动提供了参考和见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c83/11762376/cfd7a0835917/biology-14-00091-g001.jpg

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