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Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection

INTRODUCTION: Auditory change detection is a pre-attentive cortical auditory processing ability. Many neurological and psychological disorders can lead to defects in this process. Some studies have shown that phase synchronization may be related to auditory discrimination. However, the specific cont...

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Autores principales: Xia, Caifeng, Li, Jinhong, Yan, Rong, Su, Wenwen, Liu, Yuhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665517/
https://www.ncbi.nlm.nih.gov/pubmed/38027496
http://dx.doi.org/10.3389/fnins.2023.1224479
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author Xia, Caifeng
Li, Jinhong
Yan, Rong
Su, Wenwen
Liu, Yuhe
author_facet Xia, Caifeng
Li, Jinhong
Yan, Rong
Su, Wenwen
Liu, Yuhe
author_sort Xia, Caifeng
collection PubMed
description INTRODUCTION: Auditory change detection is a pre-attentive cortical auditory processing ability. Many neurological and psychological disorders can lead to defects in this process. Some studies have shown that phase synchronization may be related to auditory discrimination. However, the specific contributions of phase synchronization at different frequencies remain unclear. METHODS: We analyzed the electroencephalogram (EEG) data of 29 healthy adults using an oddball paradigm consisting of a standard stimulus and five deviant stimuli with varying frequency modulation patterns, including midpoint frequency transitions and linear frequency modulation. We then compared the peak amplitude and latency of inter-trial phase coherence (ITC) at the theta(θ), alpha(α), and beta(β) frequencies, as well as the N1 component, and their relationships with stimulus changes. At the same time, the characteristics of inter-trial phase coherence in response to the pure tone stimulation and chirp sound with a fine time-frequency structure were also assessed. RESULT: When the stimulus frequency did not change relative to the standard stimulus, the peak latency of phase coherence at β and α frequencies was consistent with that of the N1 component. The inter-trial phase coherence at β frequency (β-ITC)served as a faster indicator for detecting frequency transition when the stimulus frequency was changed relative to the standard stimulus. β-ITC demonstrates temporal stability when detecting pure sinusoidal tones and their frequency changes, and is less susceptible to interference from other neural activities. The phase coherence at θ frequency could integrate the frequency and temporal characteristics of deviant into a single representation, which can be compared with the memory trace formed by the standard stimulus, thus effectively identifying auditory changes. Pure sinusoidal tone stimulation could induce higher inter-trial phase coherence in a smaller time window, but chirp sounds with a fine time-frequency structure required longer latencies to achieve phase coherence. CONCLUSION: Phase coherence at theta, alpha, and beta frequencies are all involved in auditory change detection, but play different roles in this automatic process. Complex time-frequency modulated stimuli require longer processing time for effective change detection.
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spelling pubmed-106655172023-01-01 Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection Xia, Caifeng Li, Jinhong Yan, Rong Su, Wenwen Liu, Yuhe Front Neurosci Neuroscience INTRODUCTION: Auditory change detection is a pre-attentive cortical auditory processing ability. Many neurological and psychological disorders can lead to defects in this process. Some studies have shown that phase synchronization may be related to auditory discrimination. However, the specific contributions of phase synchronization at different frequencies remain unclear. METHODS: We analyzed the electroencephalogram (EEG) data of 29 healthy adults using an oddball paradigm consisting of a standard stimulus and five deviant stimuli with varying frequency modulation patterns, including midpoint frequency transitions and linear frequency modulation. We then compared the peak amplitude and latency of inter-trial phase coherence (ITC) at the theta(θ), alpha(α), and beta(β) frequencies, as well as the N1 component, and their relationships with stimulus changes. At the same time, the characteristics of inter-trial phase coherence in response to the pure tone stimulation and chirp sound with a fine time-frequency structure were also assessed. RESULT: When the stimulus frequency did not change relative to the standard stimulus, the peak latency of phase coherence at β and α frequencies was consistent with that of the N1 component. The inter-trial phase coherence at β frequency (β-ITC)served as a faster indicator for detecting frequency transition when the stimulus frequency was changed relative to the standard stimulus. β-ITC demonstrates temporal stability when detecting pure sinusoidal tones and their frequency changes, and is less susceptible to interference from other neural activities. The phase coherence at θ frequency could integrate the frequency and temporal characteristics of deviant into a single representation, which can be compared with the memory trace formed by the standard stimulus, thus effectively identifying auditory changes. Pure sinusoidal tone stimulation could induce higher inter-trial phase coherence in a smaller time window, but chirp sounds with a fine time-frequency structure required longer latencies to achieve phase coherence. CONCLUSION: Phase coherence at theta, alpha, and beta frequencies are all involved in auditory change detection, but play different roles in this automatic process. Complex time-frequency modulated stimuli require longer processing time for effective change detection. Frontiers Media S.A. 2023-11-09 /pmc/articles/PMC10665517/ /pubmed/38027496 http://dx.doi.org/10.3389/fnins.2023.1224479 Text en Copyright © 2023 Xia, Li, Yan, Su and Liu. 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
Xia, Caifeng
Li, Jinhong
Yan, Rong
Su, Wenwen
Liu, Yuhe
Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection
title Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection
title_full Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection
title_fullStr Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection
title_full_unstemmed Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection
title_short Contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection
title_sort contribution of inter-trial phase coherence at theta, alpha, and beta frequencies in auditory change detection
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665517/
https://www.ncbi.nlm.nih.gov/pubmed/38027496
http://dx.doi.org/10.3389/fnins.2023.1224479
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