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Bioengineering
Volume 11
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10.3390/bioengineering11080773
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Article

A Novel Time–Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG

by
Xiaoyu Liang
1,2,3,
Ruonan Wang
1,2,
Huanqi Wu
1,2,
Yuyu Ma
1,2,
Changzeng Liu
1,2,
Yang Gao
1,2,4,5,
Dexin Yu
6 and
Xiaolin Ning
1,2,3,4,5,*
1
School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China
2
Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
3
Hefei National Laboratory, Hefei 230088, China
4
Institute of Large-Scale Scientific Facility and Centre for Zero Magnetic Field Science, Beihang University, Hangzhou 310051, China
5
National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou 310051, China
6
Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging, Qilu Hospital of Shandong University, Jinan 250012, China
*
Author to whom correspondence should be addressed.
Bioengineering 2024, 11(8), 773; https://doi.org/10.3390/bioengineering11080773
Submission received: 12 June 2024 / Revised: 27 July 2024 / Accepted: 29 July 2024 / Published: 31 July 2024
(This article belongs to the Section Biosignal Processing)
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Abstract

Time–frequency parameterization for oscillations in specific frequency bands reflects the dynamic changes in the brain. It is related to cognitive behavior and diseases and has received significant attention in neuroscience. However, many studies do not consider the impact of the aperiodic noise and neural activity, including their time-varying fluctuations. Some studies are limited by the low resolution of the time–frequency spectrum and parameter-solved operation. Therefore, this paper proposes super-resolution time–frequency periodic parameterization of (transient) oscillation (STPPTO). STPPTO obtains a super-resolution time–frequency spectrum with Superlet transform. Then, the time–frequency representation of oscillations is obtained by removing the aperiodic component fitted in a time-resolved way. Finally, the definition of transient events is used to parameterize oscillations. The performance of this method is validated on simulated data and its reliability is demonstrated on magnetoencephalography. We show how it can be used to explore and analyze oscillatory activity under rhythmic stimulation.
Keywords: MEG; cortical oscillations; time–frequency parameterization; aperiodic component fitting MEG; cortical oscillations; time–frequency parameterization; aperiodic component fitting
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MDPI and ACS Style

Liang, X.; Wang, R.; Wu, H.; Ma, Y.; Liu, C.; Gao, Y.; Yu, D.; Ning, X. A Novel Time–Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG. Bioengineering 2024, 11, 773. https://doi.org/10.3390/bioengineering11080773

AMA Style

Liang X, Wang R, Wu H, Ma Y, Liu C, Gao Y, Yu D, Ning X. A Novel Time–Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG. Bioengineering. 2024; 11(8):773. https://doi.org/10.3390/bioengineering11080773

Chicago/Turabian Style

Liang, Xiaoyu, Ruonan Wang, Huanqi Wu, Yuyu Ma, Changzeng Liu, Yang Gao, Dexin Yu, and Xiaolin Ning. 2024. "A Novel Time–Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG" Bioengineering 11, no. 8: 773. https://doi.org/10.3390/bioengineering11080773

APA Style

Liang, X., Wang, R., Wu, H., Ma, Y., Liu, C., Gao, Y., Yu, D., & Ning, X. (2024). A Novel Time–Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG. Bioengineering, 11(8), 773. https://doi.org/10.3390/bioengineering11080773

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