An Exploration on Aperiodic Activities and Transient Oscillations During Semantic Processing: A Study With Wearable MEG

The processing of semantic information is pivotal in language cognition. However, there is a scarcity of research exploring the semantic-related patterns associated with aperiodic and transient periodic brain activities. In this study, recently developed algorithms were employed to parameterize the time-frequency characteristics of neural activities captured with optically pumped magnetometers-based wearable Magnetoencephalography from participants engaged in a Chinese semantic-based task. This study elucidated the neural mechanisms during semantic processing, in relation to transient oscillations and aperiodic activity. Additionally, the results demonstrated that these parameterized features could serve as indicators for decoding semantics. These findings may offer novel contribution to analyzing the mechanism of semantic perception, which will be potential to rehabilitation of language disorders with OPM-MEG.

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Publication Details

Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tnsre.2025.3561356
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

An Exploration on Aperiodic Activities and Transient Oscillations During Semantic Processing: A Study With Wearable MEG

Changzeng Liu, Xiaolin Ning, Ruonan Wang, Fuzhi Cao et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Advanced Memory and Neural Computing
article

An Exploration on Aperiodic Activities and Transient Oscillations During Semantic Processing: A Study With Wearable MEG

Changzeng Liu, Xiaolin Ning, Ruonan Wang, Fuzhi Cao, Huanqi Wu, Yuyu Ma, Yueyang Zhai, Min Xiang, Nan An, Xiaoyu Liang
article en

Abstract

The processing of semantic information is pivotal in language cognition. However, there is a scarcity of research exploring the semantic-related patterns associated with aperiodic and transient periodic brain activities. In this study, recently developed algorithms were employed to parameterize the time-frequency characteristics of neural activities captured with optically pumped magnetometers-based wearable Magnetoencephalography from participants engaged in a Chinese semantic-based task. This study elucidated the neural mechanisms during semantic processing, in relation to transient oscillations and aperiodic activity. Additionally, the results demonstrated that these parameterized features could serve as indicators for decoding semantics. These findings may offer novel contribution to analyzing the mechanism of semantic perception, which will be potential to rehabilitation of language disorders with OPM-MEG.

IEEE Transactions on Neural Systems and Rehabilitation EngineeringVol. 33
Beihang University (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 94%
Advanced Memory and Neural Computing
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