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Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study

Working memory (WM) is a resource-limited memory system for temporary storage and processing of brain information during the execution of cognitive tasks. Increased WM load will increase the amount and difficulty of memory information. Several studies have used electroencephalography (EEG) or functi...

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Autores principales: Zhao, Xiaojie, Li, Xiaoyun, Yao, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671635/
https://www.ncbi.nlm.nih.gov/pubmed/29163087
http://dx.doi.org/10.3389/fnbeh.2017.00215
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author Zhao, Xiaojie
Li, Xiaoyun
Yao, Li
author_facet Zhao, Xiaojie
Li, Xiaoyun
Yao, Li
author_sort Zhao, Xiaojie
collection PubMed
description Working memory (WM) is a resource-limited memory system for temporary storage and processing of brain information during the execution of cognitive tasks. Increased WM load will increase the amount and difficulty of memory information. Several studies have used electroencephalography (EEG) or functional magnetic resonance imaging (fMRI) to explore load-dependent cognition processing according to the time courses of electrophysiological activity or the spatial pattern of blood oxygen metabolic activity. However, the relationships between these two activities and the underlying neural mechanism are still unclear. In this study, using simultaneously collected EEG and fMRI data under an n-back verbal WM task, we modeled the spectral perturbation of EEG oscillation and fMRI activation through joint independent component analysis (JICA). Multi-channel oscillation features were also introduced into the JICA model for further analysis. The results showed that time-locked activity of theta and beta were modulated by memory load in the early stimuli evaluation stage, corresponding to the enhanced activation in the frontal and parietal lobe, which were involved in stimulus discrimination, information encoding and delay-period activity. In the late response selection stage, alpha and gamma activity changes dependent on the load correspond to enhanced activation in the areas of frontal, temporal and parietal lobes, which played important roles in attention, information extraction and memory retention. These findings suggest that the increases in memory load not only affect the intensity and time course of the EEG activities, but also lead to the enhanced activation of brain regions which plays different roles during different time periods of cognitive process of WM.
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spelling pubmed-56716352017-11-21 Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study Zhao, Xiaojie Li, Xiaoyun Yao, Li Front Behav Neurosci Neuroscience Working memory (WM) is a resource-limited memory system for temporary storage and processing of brain information during the execution of cognitive tasks. Increased WM load will increase the amount and difficulty of memory information. Several studies have used electroencephalography (EEG) or functional magnetic resonance imaging (fMRI) to explore load-dependent cognition processing according to the time courses of electrophysiological activity or the spatial pattern of blood oxygen metabolic activity. However, the relationships between these two activities and the underlying neural mechanism are still unclear. In this study, using simultaneously collected EEG and fMRI data under an n-back verbal WM task, we modeled the spectral perturbation of EEG oscillation and fMRI activation through joint independent component analysis (JICA). Multi-channel oscillation features were also introduced into the JICA model for further analysis. The results showed that time-locked activity of theta and beta were modulated by memory load in the early stimuli evaluation stage, corresponding to the enhanced activation in the frontal and parietal lobe, which were involved in stimulus discrimination, information encoding and delay-period activity. In the late response selection stage, alpha and gamma activity changes dependent on the load correspond to enhanced activation in the areas of frontal, temporal and parietal lobes, which played important roles in attention, information extraction and memory retention. These findings suggest that the increases in memory load not only affect the intensity and time course of the EEG activities, but also lead to the enhanced activation of brain regions which plays different roles during different time periods of cognitive process of WM. Frontiers Media S.A. 2017-10-31 /pmc/articles/PMC5671635/ /pubmed/29163087 http://dx.doi.org/10.3389/fnbeh.2017.00215 Text en Copyright © 2017 Zhao, Li and Yao. http://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) or licensor 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
Zhao, Xiaojie
Li, Xiaoyun
Yao, Li
Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study
title Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study
title_full Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study
title_fullStr Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study
title_full_unstemmed Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study
title_short Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study
title_sort localized fluctuant oscillatory activity by working memory load: a simultaneous eeg-fmri study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671635/
https://www.ncbi.nlm.nih.gov/pubmed/29163087
http://dx.doi.org/10.3389/fnbeh.2017.00215
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