• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.3390/biology14010091
PMID:39857321
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11762376/
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/1c83/11762376/01ba50aa04cd/biology-14-00091-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c83/11762376/cfd7a0835917/biology-14-00091-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c83/11762376/05cfea9b6258/biology-14-00091-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c83/11762376/01ba50aa04cd/biology-14-00091-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c83/11762376/cfd7a0835917/biology-14-00091-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c83/11762376/05cfea9b6258/biology-14-00091-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c83/11762376/01ba50aa04cd/biology-14-00091-g003.jpg

相似文献

1
Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition.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
Biology (Basel). 2025 Jan 18;14(1):91. doi: 10.3390/biology14010091.
2
An Exploration on Aperiodic Activities and Transient Oscillations During Semantic Processing: A Study With Wearable MEG.语义加工过程中非周期性活动与瞬态振荡的探索:一项基于可穿戴式脑磁图的研究
IEEE Trans Neural Syst Rehabil Eng. 2025;33:1473-1485. doi: 10.1109/TNSRE.2025.3561356. Epub 2025 Apr 23.
3
A Novel Time-Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG.一种用于特定频段振荡的新型时频参数化方法及其在光极脑磁图中的应用
Bioengineering (Basel). 2024 Jul 31;11(8):773. doi: 10.3390/bioengineering11080773.
4
Measurement of Frontal Midline Theta Oscillations using OPM-MEG.使用 OPM-MEG 测量额中线 theta 振荡。
Neuroimage. 2023 May 1;271:120024. doi: 10.1016/j.neuroimage.2023.120024. Epub 2023 Mar 12.
5
Tracking the neurodevelopmental trajectory of beta band oscillations with optically pumped magnetometer-based magnetoencephalography.基于光泵磁强计脑磁图追踪β频段振荡的神经发育轨迹。
Elife. 2024 Jun 4;13:RP94561. doi: 10.7554/eLife.94561.
6
The neurodevelopmental trajectory of beta band oscillations: an OPM-MEG study.β波段振荡的神经发育轨迹:一项基于枕叶脑电-脑磁图的研究
bioRxiv. 2024 Mar 19:2024.01.04.573933. doi: 10.1101/2024.01.04.573933.
7
Decoding the Spatiotemporal Dynamics of Neural Response Similarity in Auditory Processing: A Multivariate Analysis Based on OPM-MEG.解码听觉处理中神经反应相似性的时空动态:基于OPM-MEG的多变量分析
Hum Brain Mapp. 2025 Mar;46(4):e70175. doi: 10.1002/hbm.70175.
8
Performance of optically pumped magnetometer magnetoencephalography: validation in large samples and multiple tasks.光泵磁力计脑磁图的性能:在大样本和多个任务中的验证
J Neural Eng. 2024 Dec 19;21(6). doi: 10.1088/1741-2552/ad9680.
9
Facilitating cognitive neuroscience research with 80-sensor optically pumped magnetometer magnetoencephalography (OPM-MEG).利用80传感器光泵磁力计脑磁图(OPM-MEG)促进认知神经科学研究。
Neuroimage. 2025 May 1;311:121182. doi: 10.1016/j.neuroimage.2025.121182. Epub 2025 Apr 1.
10
Localization of electrophysiological responses to semantic and syntactic anomalies in language comprehension with MEG.使用 MEG 定位语言理解中语义和句法异常的电生理反应。
Neuroimage. 2015 Jan 15;105:507-24. doi: 10.1016/j.neuroimage.2014.11.016. Epub 2014 Nov 14.

本文引用的文献

1
Decoding N400m Evoked Component: A Tutorial on Multivariate Pattern Analysis for OP-MEG Data.解码N400m诱发成分:基于OP-MEG数据的多变量模式分析教程
Bioengineering (Basel). 2024 Jun 13;11(6):609. doi: 10.3390/bioengineering11060609.
2
Beta: bursts of cognition.贝塔:认知爆发。
Trends Cogn Sci. 2024 Jul;28(7):662-676. doi: 10.1016/j.tics.2024.03.010. Epub 2024 Apr 23.
3
A Multivariate analysis on evoked components of Chinese semantic congruity: an OP-MEG study with EEG.中文语义一致性诱发成分的多变量分析:基于 EEG 的 OP-MEG 研究。
Cereb Cortex. 2024 Apr 1;34(4). doi: 10.1093/cercor/bhae108.
4
Neurocognitive correlates of semantic memory navigation in Parkinson's disease.帕金森病中语义记忆导航的神经认知关联
NPJ Parkinsons Dis. 2024 Jan 9;10(1):15. doi: 10.1038/s41531-024-00630-4.
5
Magnetoencephalography for Epilepsy Presurgical Evaluation.磁共振脑磁图在癫痫术前评估中的应用。
Curr Neurol Neurosci Rep. 2024 Feb;24(2):35-46. doi: 10.1007/s11910-023-01328-5. Epub 2023 Dec 27.
6
Spectral and phase-coherence correlates of impaired auditory mismatch negativity (MMN) in schizophrenia: A MEG study.精神分裂症患者听觉失匹配负波(MMN)的频谱和相位相干性相关:一项 MEG 研究。
Schizophr Res. 2023 Nov;261:60-71. doi: 10.1016/j.schres.2023.08.033. Epub 2023 Sep 12.
7
Mismatch negativity as a marker of auditory pattern separation.失匹配负波作为听觉模式分离的标志物
Cereb Cortex. 2023 Sep 9;33(18):10181-10193. doi: 10.1093/cercor/bhad274.
8
Automatic seizure detection and classification using super-resolution superlet transform and deep neural network -A preprocessing-less method.基于超分辨率超小波变换和深度神经网络的自动癫痫发作检测与分类——一种无需预处理的方法。
Comput Methods Programs Biomed. 2023 Oct;240:107680. doi: 10.1016/j.cmpb.2023.107680. Epub 2023 Jun 22.
9
Mismatch Negativity and Theta Oscillations Evoked by Auditory Deviance in Early Schizophrenia.精神分裂症早期听觉偏差诱发的失匹配负波与θ振荡
Biol Psychiatry Cogn Neurosci Neuroimaging. 2023 Dec;8(12):1186-1196. doi: 10.1016/j.bpsc.2023.03.004. Epub 2023 Mar 15.
10
Time-resolved parameterization of aperiodic and periodic brain activity.非周期性和周期性脑活动的时间分辨参数化。
Elife. 2022 Sep 12;11:e77348. doi: 10.7554/eLife.77348.