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Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography

Name recognition plays important role in self-related cognitive processes and also contributes to a variety of clinical applications, such as autism spectrum disorder diagnosis and consciousness disorder analysis. However, most previous name-related studies usually adopted noninvasive EEG or fMRI re...

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Autores principales: Ye, Huanpeng, Fan, Zhen, Chai, Guohong, Li, Guangye, Wei, Zixuan, Hu, Jie, Sheng, Xinjun, Chen, Liang, Zhu, Xiangyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129191/
https://www.ncbi.nlm.nih.gov/pubmed/34017235
http://dx.doi.org/10.3389/fnins.2021.653965
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author Ye, Huanpeng
Fan, Zhen
Chai, Guohong
Li, Guangye
Wei, Zixuan
Hu, Jie
Sheng, Xinjun
Chen, Liang
Zhu, Xiangyang
author_facet Ye, Huanpeng
Fan, Zhen
Chai, Guohong
Li, Guangye
Wei, Zixuan
Hu, Jie
Sheng, Xinjun
Chen, Liang
Zhu, Xiangyang
author_sort Ye, Huanpeng
collection PubMed
description Name recognition plays important role in self-related cognitive processes and also contributes to a variety of clinical applications, such as autism spectrum disorder diagnosis and consciousness disorder analysis. However, most previous name-related studies usually adopted noninvasive EEG or fMRI recordings, which were limited by low spatial resolution and temporal resolution, respectively, and thus millisecond-level response latencies in precise brain regions could not be measured using these noninvasive recordings. By invasive stereo-electroencephalography (SEEG) recordings that have high resolution in both the spatial and temporal domain, the current study distinguished the neural response to one's own name or a stranger's name, and explored common active brain regions in both auditory and visual modalities. The neural activities were classified using spatiotemporal features of high-gamma, beta, and alpha band. Results showed that different names could be decoded using multi-region SEEG signals, and the best classification performance was achieved at high gamma (60–145 Hz) band. In this case, auditory and visual modality-based name classification accuracies were 84.5 ± 8.3 and 79.9 ± 4.6%, respectively. Additionally, some single regions such as the supramarginal gyrus, middle temporal gyrus, and insula could also achieve remarkable accuracies for both modalities, supporting their roles in the processing of self-related information. The average latency of the difference between the two responses in these precise regions was 354 ± 63 and 285 ± 59 ms in the auditory and visual modality, respectively. This study suggested that name recognition was attributed to a distributed brain network, and the subsets with decoding capabilities might be potential implanted regions for awareness detection and cognition evaluation.
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spelling pubmed-81291912021-05-19 Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography Ye, Huanpeng Fan, Zhen Chai, Guohong Li, Guangye Wei, Zixuan Hu, Jie Sheng, Xinjun Chen, Liang Zhu, Xiangyang Front Neurosci Neuroscience Name recognition plays important role in self-related cognitive processes and also contributes to a variety of clinical applications, such as autism spectrum disorder diagnosis and consciousness disorder analysis. However, most previous name-related studies usually adopted noninvasive EEG or fMRI recordings, which were limited by low spatial resolution and temporal resolution, respectively, and thus millisecond-level response latencies in precise brain regions could not be measured using these noninvasive recordings. By invasive stereo-electroencephalography (SEEG) recordings that have high resolution in both the spatial and temporal domain, the current study distinguished the neural response to one's own name or a stranger's name, and explored common active brain regions in both auditory and visual modalities. The neural activities were classified using spatiotemporal features of high-gamma, beta, and alpha band. Results showed that different names could be decoded using multi-region SEEG signals, and the best classification performance was achieved at high gamma (60–145 Hz) band. In this case, auditory and visual modality-based name classification accuracies were 84.5 ± 8.3 and 79.9 ± 4.6%, respectively. Additionally, some single regions such as the supramarginal gyrus, middle temporal gyrus, and insula could also achieve remarkable accuracies for both modalities, supporting their roles in the processing of self-related information. The average latency of the difference between the two responses in these precise regions was 354 ± 63 and 285 ± 59 ms in the auditory and visual modality, respectively. This study suggested that name recognition was attributed to a distributed brain network, and the subsets with decoding capabilities might be potential implanted regions for awareness detection and cognition evaluation. Frontiers Media S.A. 2021-05-04 /pmc/articles/PMC8129191/ /pubmed/34017235 http://dx.doi.org/10.3389/fnins.2021.653965 Text en Copyright © 2021 Ye, Fan, Chai, Li, Wei, Hu, Sheng, Chen and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Ye, Huanpeng
Fan, Zhen
Chai, Guohong
Li, Guangye
Wei, Zixuan
Hu, Jie
Sheng, Xinjun
Chen, Liang
Zhu, Xiangyang
Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography
title Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography
title_full Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography
title_fullStr Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography
title_full_unstemmed Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography
title_short Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography
title_sort self-related stimuli decoding with auditory and visual modalities using stereo-electroencephalography
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129191/
https://www.ncbi.nlm.nih.gov/pubmed/34017235
http://dx.doi.org/10.3389/fnins.2021.653965
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