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EEG Oscillations Reveal Neural Correlates of Evidence Accumulation

Recent studies have begun to elucidate the neural correlates of evidence accumulation in perceptual decision making, but few of them have used a combined modeling-electrophysiological approach to studying evidence accumulation. We introduce a multivariate approach to EEG analysis with which we can p...

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Autores principales: van Vugt, M. K., Simen, P., Nystrom, L. E., Holmes, P., Cohen, J. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398314/
https://www.ncbi.nlm.nih.gov/pubmed/22822389
http://dx.doi.org/10.3389/fnins.2012.00106
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author van Vugt, M. K.
Simen, P.
Nystrom, L. E.
Holmes, P.
Cohen, J. D.
author_facet van Vugt, M. K.
Simen, P.
Nystrom, L. E.
Holmes, P.
Cohen, J. D.
author_sort van Vugt, M. K.
collection PubMed
description Recent studies have begun to elucidate the neural correlates of evidence accumulation in perceptual decision making, but few of them have used a combined modeling-electrophysiological approach to studying evidence accumulation. We introduce a multivariate approach to EEG analysis with which we can perform a comprehensive search for the neural correlate of dynamics predicted by accumulator models. We show that the dynamics of evidence accumulation are most strongly correlated with ramping of oscillatory power in the 4–9 Hz theta band over the course of a trial, although it also correlates with oscillatory power in other frequency bands. The rate of power decrease in the theta band correlates with individual differences in the parameters of drift diffusion models fitted to individuals’ behavioral data.
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spelling pubmed-33983142012-07-20 EEG Oscillations Reveal Neural Correlates of Evidence Accumulation van Vugt, M. K. Simen, P. Nystrom, L. E. Holmes, P. Cohen, J. D. Front Neurosci Neuroscience Recent studies have begun to elucidate the neural correlates of evidence accumulation in perceptual decision making, but few of them have used a combined modeling-electrophysiological approach to studying evidence accumulation. We introduce a multivariate approach to EEG analysis with which we can perform a comprehensive search for the neural correlate of dynamics predicted by accumulator models. We show that the dynamics of evidence accumulation are most strongly correlated with ramping of oscillatory power in the 4–9 Hz theta band over the course of a trial, although it also correlates with oscillatory power in other frequency bands. The rate of power decrease in the theta band correlates with individual differences in the parameters of drift diffusion models fitted to individuals’ behavioral data. Frontiers Research Foundation 2012-07-17 /pmc/articles/PMC3398314/ /pubmed/22822389 http://dx.doi.org/10.3389/fnins.2012.00106 Text en Copyright © 2012 van Vugt, Simen, Nystrom, Holmes and Cohen. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
van Vugt, M. K.
Simen, P.
Nystrom, L. E.
Holmes, P.
Cohen, J. D.
EEG Oscillations Reveal Neural Correlates of Evidence Accumulation
title EEG Oscillations Reveal Neural Correlates of Evidence Accumulation
title_full EEG Oscillations Reveal Neural Correlates of Evidence Accumulation
title_fullStr EEG Oscillations Reveal Neural Correlates of Evidence Accumulation
title_full_unstemmed EEG Oscillations Reveal Neural Correlates of Evidence Accumulation
title_short EEG Oscillations Reveal Neural Correlates of Evidence Accumulation
title_sort eeg oscillations reveal neural correlates of evidence accumulation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398314/
https://www.ncbi.nlm.nih.gov/pubmed/22822389
http://dx.doi.org/10.3389/fnins.2012.00106
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