Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study

Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study

The P300 event-related potential (ERP) varies across individuals, and exploring this variability deepens our knowledge of the event, and scope for its potential applications. Previous studies exploring the P300 have relied on either electroencephalography (EEG) or functional magnetic resonance imagi...

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Main Authors: Fali Li, Qin Tao, Wenjing Peng, Tao Zhang, Yajing Si, Yangsong Zhang, Chanlin Yi, Bharat Biswal, Dezhong Yao, Peng Xu
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage
Subjects:
Reconfiguration
P300 variability
Simultaneous EEG-fMRI
Functional connectivity
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919308766
id doaj-115be31e774444f08f7ae13581012a86
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Fali Li
Qin Tao
Wenjing Peng
Tao Zhang
Yajing Si
Yangsong Zhang
Chanlin Yi
Bharat Biswal
Dezhong Yao
Peng Xu
spellingShingle Fali Li
Qin Tao
Wenjing Peng
Tao Zhang
Yajing Si
Yangsong Zhang
Chanlin Yi
Bharat Biswal
Dezhong Yao
Peng Xu
Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study
NeuroImage
Reconfiguration
P300 variability
Simultaneous EEG-fMRI
Functional connectivity
author_facet Fali Li
Qin Tao
Wenjing Peng
Tao Zhang
Yajing Si
Yangsong Zhang
Chanlin Yi
Bharat Biswal
Dezhong Yao
Peng Xu
author_sort Fali Li
title Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study
title_short Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study
title_full Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study
title_fullStr Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study
title_full_unstemmed Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study
title_sort inter-subject p300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: evidence from a simultaneous event-related eeg-fmri study
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2020-01-01
description The P300 event-related potential (ERP) varies across individuals, and exploring this variability deepens our knowledge of the event, and scope for its potential applications. Previous studies exploring the P300 have relied on either electroencephalography (EEG) or functional magnetic resonance imaging (fMRI). We applied simultaneous event-related EEG-fMRI to investigate how the network structure is updated from rest to the P300 task so as to guarantee information processing in the oddball task. We first identified 14 widely distributed regions of interest (ROIs) that were task-associated, including the inferior frontal gyrus and the middle frontal gyrus, etc. The task-activated network was found to closely relate to the concurrent P300 amplitude, and moreover, the individuals with optimized resting-state brain architectures experienced the pruning of network architecture, i.e. decreasing connectivity, when the brain switched from rest to P300 task. Our present simultaneous EEG-fMRI study explored the brain reconfigurations governing the variability in P300 across individuals, which provided the possibility to uncover new biomarkers to predict the potential for personalized control of brain-computer interfaces.
topic Reconfiguration
P300 variability
Simultaneous EEG-fMRI
Functional connectivity
url http://www.sciencedirect.com/science/article/pii/S1053811919308766
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spelling doaj-115be31e774444f08f7ae13581012a862020-11-25T02:58:37ZengElsevierNeuroImage1095-95722020-01-01205116285Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI studyFali Li0Qin Tao1Wenjing Peng2Tao Zhang3Yajing Si4Yangsong Zhang5Chanlin Yi6Bharat Biswal7Dezhong Yao8Peng Xu9The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; Xihua University, Chengdu, 610039, PR ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR ChinaSchool of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, 621010, PR China; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USAThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, PR China; Corresponding author. No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan, China.The P300 event-related potential (ERP) varies across individuals, and exploring this variability deepens our knowledge of the event, and scope for its potential applications. Previous studies exploring the P300 have relied on either electroencephalography (EEG) or functional magnetic resonance imaging (fMRI). We applied simultaneous event-related EEG-fMRI to investigate how the network structure is updated from rest to the P300 task so as to guarantee information processing in the oddball task. We first identified 14 widely distributed regions of interest (ROIs) that were task-associated, including the inferior frontal gyrus and the middle frontal gyrus, etc. The task-activated network was found to closely relate to the concurrent P300 amplitude, and moreover, the individuals with optimized resting-state brain architectures experienced the pruning of network architecture, i.e. decreasing connectivity, when the brain switched from rest to P300 task. Our present simultaneous EEG-fMRI study explored the brain reconfigurations governing the variability in P300 across individuals, which provided the possibility to uncover new biomarkers to predict the potential for personalized control of brain-computer interfaces.http://www.sciencedirect.com/science/article/pii/S1053811919308766ReconfigurationP300 variabilitySimultaneous EEG-fMRIFunctional connectivity

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