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Do resting brain dynamics predict oddball evoked-potential?
BACKGROUND: The oddball paradigm is widely applied to the investigation of cognitive function in neuroscience and in neuropsychiatry. Whether cortical oscillation in the resting state can predict the elicited oddball event-related potential (ERP) is still not clear. This study explored the relations...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259052/ https://www.ncbi.nlm.nih.gov/pubmed/22114868 http://dx.doi.org/10.1186/1471-2202-12-121 |
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author | Lee, Tien-Wen Yu, Younger W-Y Wu, Hung-Chi Chen, Tai-Jui |
author_facet | Lee, Tien-Wen Yu, Younger W-Y Wu, Hung-Chi Chen, Tai-Jui |
author_sort | Lee, Tien-Wen |
collection | PubMed |
description | BACKGROUND: The oddball paradigm is widely applied to the investigation of cognitive function in neuroscience and in neuropsychiatry. Whether cortical oscillation in the resting state can predict the elicited oddball event-related potential (ERP) is still not clear. This study explored the relationship between resting electroencephalography (EEG) and oddball ERPs. The regional powers of 18 electrodes across delta, theta, alpha and beta frequencies were correlated with the amplitude and latency of N1, P2, N2 and P3 components of oddball ERPs. A multivariate analysis based on partial least squares (PLS) was applied to further examine the spatial pattern revealed by multiple correlations. RESULTS: Higher synchronization in the resting state, especially at the alpha spectrum, is associated with higher neural responsiveness and faster neural propagation, as indicated by the higher amplitude change of N1/N2 and shorter latency of P2. None of the resting quantitative EEG indices predict P3 latency and amplitude. The PLS analysis confirms that the resting cortical dynamics which explains N1/N2 amplitude and P2 latency does not show regional specificity, indicating a global property of the brain. CONCLUSIONS: This study differs from previous approaches by relating dynamics in the resting state to neural responsiveness in the activation state. Our analyses suggest that the neural characteristics carried by resting brain dynamics modulate the earlier/automatic stage of target detection. |
format | Online Article Text |
id | pubmed-3259052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32590522012-01-17 Do resting brain dynamics predict oddball evoked-potential? Lee, Tien-Wen Yu, Younger W-Y Wu, Hung-Chi Chen, Tai-Jui BMC Neurosci Research Article BACKGROUND: The oddball paradigm is widely applied to the investigation of cognitive function in neuroscience and in neuropsychiatry. Whether cortical oscillation in the resting state can predict the elicited oddball event-related potential (ERP) is still not clear. This study explored the relationship between resting electroencephalography (EEG) and oddball ERPs. The regional powers of 18 electrodes across delta, theta, alpha and beta frequencies were correlated with the amplitude and latency of N1, P2, N2 and P3 components of oddball ERPs. A multivariate analysis based on partial least squares (PLS) was applied to further examine the spatial pattern revealed by multiple correlations. RESULTS: Higher synchronization in the resting state, especially at the alpha spectrum, is associated with higher neural responsiveness and faster neural propagation, as indicated by the higher amplitude change of N1/N2 and shorter latency of P2. None of the resting quantitative EEG indices predict P3 latency and amplitude. The PLS analysis confirms that the resting cortical dynamics which explains N1/N2 amplitude and P2 latency does not show regional specificity, indicating a global property of the brain. CONCLUSIONS: This study differs from previous approaches by relating dynamics in the resting state to neural responsiveness in the activation state. Our analyses suggest that the neural characteristics carried by resting brain dynamics modulate the earlier/automatic stage of target detection. BioMed Central 2011-11-24 /pmc/articles/PMC3259052/ /pubmed/22114868 http://dx.doi.org/10.1186/1471-2202-12-121 Text en Copyright ©2011 Lee et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lee, Tien-Wen Yu, Younger W-Y Wu, Hung-Chi Chen, Tai-Jui Do resting brain dynamics predict oddball evoked-potential? |
title | Do resting brain dynamics predict oddball evoked-potential? |
title_full | Do resting brain dynamics predict oddball evoked-potential? |
title_fullStr | Do resting brain dynamics predict oddball evoked-potential? |
title_full_unstemmed | Do resting brain dynamics predict oddball evoked-potential? |
title_short | Do resting brain dynamics predict oddball evoked-potential? |
title_sort | do resting brain dynamics predict oddball evoked-potential? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259052/ https://www.ncbi.nlm.nih.gov/pubmed/22114868 http://dx.doi.org/10.1186/1471-2202-12-121 |
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