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A New Recognition Method for the Auditory Evoked Magnetic Fields

Magnetoencephalography (MEG) is a persuasive tool to study the human brain in physiology and psychology. It can be employed to obtain the inference of change between the external environment and the internal psychology, which requires us to recognize different single trial event-related magnetic fie...

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Autores principales: Feng, Yulong, Xiao, Wei, Wu, Teng, Zhang, Jianwei, Xiang, Jing, Guo, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892250/
https://www.ncbi.nlm.nih.gov/pubmed/33628215
http://dx.doi.org/10.1155/2021/6645270
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author Feng, Yulong
Xiao, Wei
Wu, Teng
Zhang, Jianwei
Xiang, Jing
Guo, Hong
author_facet Feng, Yulong
Xiao, Wei
Wu, Teng
Zhang, Jianwei
Xiang, Jing
Guo, Hong
author_sort Feng, Yulong
collection PubMed
description Magnetoencephalography (MEG) is a persuasive tool to study the human brain in physiology and psychology. It can be employed to obtain the inference of change between the external environment and the internal psychology, which requires us to recognize different single trial event-related magnetic fields (ERFs) originated from different functional areas of the brain. Current recognition methods for the single trial data are mainly used for event-related potentials (ERPs) in the electroencephalography (EEG). Although the MEG shares the same signal sources with the EEG, much less interference from the other brain tissues may give the MEG an edge in recognition of the ERFs. In this work, we propose a new recognition method for the single trial auditory evoked magnetic fields (AEFs) through enhancing the signal. We find that the signal strength of the single trial AEFs is concentrated in the primary auditory cortex of the temporal lobe, which can be clearly displayed in the 2D images. These 2D images are then recognized by an artificial neural network (ANN) with 100% accuracy, which realizes the automatic recognition for the single trial AEFs. The method not only may be combined with the source estimation algorithm to improve its accuracy but also paves the way for the implementation of the brain-computer interface (BCI) with the MEG.
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spelling pubmed-78922502021-02-23 A New Recognition Method for the Auditory Evoked Magnetic Fields Feng, Yulong Xiao, Wei Wu, Teng Zhang, Jianwei Xiang, Jing Guo, Hong Comput Intell Neurosci Research Article Magnetoencephalography (MEG) is a persuasive tool to study the human brain in physiology and psychology. It can be employed to obtain the inference of change between the external environment and the internal psychology, which requires us to recognize different single trial event-related magnetic fields (ERFs) originated from different functional areas of the brain. Current recognition methods for the single trial data are mainly used for event-related potentials (ERPs) in the electroencephalography (EEG). Although the MEG shares the same signal sources with the EEG, much less interference from the other brain tissues may give the MEG an edge in recognition of the ERFs. In this work, we propose a new recognition method for the single trial auditory evoked magnetic fields (AEFs) through enhancing the signal. We find that the signal strength of the single trial AEFs is concentrated in the primary auditory cortex of the temporal lobe, which can be clearly displayed in the 2D images. These 2D images are then recognized by an artificial neural network (ANN) with 100% accuracy, which realizes the automatic recognition for the single trial AEFs. The method not only may be combined with the source estimation algorithm to improve its accuracy but also paves the way for the implementation of the brain-computer interface (BCI) with the MEG. Hindawi 2021-02-09 /pmc/articles/PMC7892250/ /pubmed/33628215 http://dx.doi.org/10.1155/2021/6645270 Text en Copyright © 2021 Yulong Feng et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Feng, Yulong
Xiao, Wei
Wu, Teng
Zhang, Jianwei
Xiang, Jing
Guo, Hong
A New Recognition Method for the Auditory Evoked Magnetic Fields
title A New Recognition Method for the Auditory Evoked Magnetic Fields
title_full A New Recognition Method for the Auditory Evoked Magnetic Fields
title_fullStr A New Recognition Method for the Auditory Evoked Magnetic Fields
title_full_unstemmed A New Recognition Method for the Auditory Evoked Magnetic Fields
title_short A New Recognition Method for the Auditory Evoked Magnetic Fields
title_sort new recognition method for the auditory evoked magnetic fields
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892250/
https://www.ncbi.nlm.nih.gov/pubmed/33628215
http://dx.doi.org/10.1155/2021/6645270
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