Relationships between the resting-state network and the P3: Evidence from a scalp EEG study
The P3 is an important event-related potential that can be used to identify neural activity related to the cognitive processes of the human brain. However, the relationships, especially the functional correlations, between resting-state brain activity and the P3 have not been well established. In th...
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Published in | Scientific reports Vol. 5; no. 1; p. 15129 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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London
Nature Publishing Group UK
12.10.2015
Nature Publishing Group |
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Online Access | Get full text |
ISSN | 2045-2322 2045-2322 |
DOI | 10.1038/srep15129 |
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Abstract | The P3 is an important event-related potential that can be used to identify neural activity related to the cognitive processes of the human brain. However, the relationships, especially the functional correlations, between resting-state brain activity and the P3 have not been well established. In this study, we investigated the relationships between P3 properties (i.e., amplitude and latency) and resting-state brain networks. The results indicated that P3 amplitude was significantly correlated with resting-state network topology and in general, larger P3 amplitudes could be evoked when the resting-state brain network was more efficient. However, no significant relationships were found for the corresponding P3 latency. Additionally, the long-range connections between the prefrontal/frontal and parietal/occipital brain regions, which represent the synchronous activity of these areas, were functionally related to the P3 parameters, especially P3 amplitude. The findings of the current study may help us better understand inter-subject variation in the P3, which may be instructive for clinical diagnosis, cognitive neuroscience studies and potential subject selection for brain-computer interface applications. |
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AbstractList | The P3 is an important event-related potential that can be used to identify neural activity related to the cognitive processes of the human brain. However, the relationships, especially the functional correlations, between resting-state brain activity and the P3 have not been well established. In this study, we investigated the relationships between P3 properties (i.e., amplitude and latency) and resting-state brain networks. The results indicated that P3 amplitude was significantly correlated with resting-state network topology, and in general, larger P3 amplitudes could be evoked when the resting-state brain network was more efficient. However, no significant relationships were found for the corresponding P3 latency. Additionally, the long-range connections between the prefrontal/frontal and parietal/occipital brain regions, which represent the synchronous activity of these areas, were functionally related to the P3 parameters, especially P3 amplitude. The findings of the current study may help us better understand inter-subject variation in the P3, which may be instructive for clinical diagnosis, cognitive neuroscience studies, and potential subject selection for brain-computer interface applications. |
ArticleNumber | 15129 |
Author | Xu, Peng Li, He Wang, Fei Tian, Yin Li, Fali Guo, Daqing Yao, Dezhong Liu, Tiejun Gong, Diankun Zhang, Rui Jiang, Yi |
Author_xml | – sequence: 1 givenname: Fali surname: Li fullname: Li, Fali organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China – sequence: 2 givenname: Tiejun surname: Liu fullname: Liu, Tiejun organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Center for Information in BioMedicine, University of Electronic Science and Technology of China – sequence: 3 givenname: Fei surname: Wang fullname: Wang, Fei organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China – sequence: 4 givenname: He surname: Li fullname: Li, He organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China – sequence: 5 givenname: Diankun surname: Gong fullname: Gong, Diankun organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China – sequence: 6 givenname: Rui surname: Zhang fullname: Zhang, Rui organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China – sequence: 7 givenname: Yi surname: Jiang fullname: Jiang, Yi organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China – sequence: 8 givenname: Yin surname: Tian fullname: Tian, Yin organization: College of Bio-information, ChongQing University of Posts and Telecommunications – sequence: 9 givenname: Daqing surname: Guo fullname: Guo, Daqing organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Center for Information in BioMedicine, University of Electronic Science and Technology of China – sequence: 10 givenname: Dezhong surname: Yao fullname: Yao, Dezhong organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Center for Information in BioMedicine, University of Electronic Science and Technology of China – sequence: 11 givenname: Peng surname: Xu fullname: Xu, Peng organization: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Center for Information in BioMedicine, University of Electronic Science and Technology of China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26456594$$D View this record in MEDLINE/PubMed |
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Title | Relationships between the resting-state network and the P3: Evidence from a scalp EEG study |
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