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Do resting brain dynamics predict oddball evoked-potential?

Overview of attention for article published in BMC Neuroscience, November 2011
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Title
Do resting brain dynamics predict oddball evoked-potential?
Published in
BMC Neuroscience, November 2011
DOI 10.1186/1471-2202-12-121
Pubmed ID
Authors

Tien-Wen Lee, Younger W-Y Yu, Hung-Chi Wu, Tai-Jui Chen

Abstract

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.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Korea, Republic of 1 1%
France 1 1%
Japan 1 1%
India 1 1%
Unknown 85 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 24%
Student > Ph. D. Student 19 21%
Other 6 7%
Student > Master 5 5%
Professor 5 5%
Other 15 16%
Unknown 20 22%
Readers by discipline Count As %
Psychology 22 24%
Neuroscience 15 16%
Agricultural and Biological Sciences 11 12%
Medicine and Dentistry 10 11%
Engineering 4 4%
Other 7 8%
Unknown 23 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 November 2011.
All research outputs
#19,631,015
of 24,143,470 outputs
Outputs from BMC Neuroscience
#905
of 1,270 outputs
Outputs of similar age
#202,923
of 246,797 outputs
Outputs of similar age from BMC Neuroscience
#16
of 19 outputs
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