Publication

EEG oscillations reveal neural correlates of evidence accumulation

van Vugt, M. K., Simen, P., Nystrom, L., Holmes, P. & Cohen, J. D., 16-Jul-2012, In : Frontiers in Human Neuroscience. 6, 13 p., 106.

Research output: Contribution to journalArticleAcademicpeer-review

APA

van Vugt, M. K., Simen, P., Nystrom, L., Holmes, P., & Cohen, J. D. (2012). EEG oscillations reveal neural correlates of evidence accumulation. Frontiers in Human Neuroscience, 6, [106]. https://doi.org/10.3389/fnins.2012.00106

Author

van Vugt, M. K. ; Simen, P. ; Nystrom, L. ; Holmes, P. ; Cohen, J. D. / EEG oscillations reveal neural correlates of evidence accumulation. In: Frontiers in Human Neuroscience. 2012 ; Vol. 6.

Harvard

van Vugt, MK, Simen, P, Nystrom, L, Holmes, P & Cohen, JD 2012, 'EEG oscillations reveal neural correlates of evidence accumulation' Frontiers in Human Neuroscience, vol. 6, 106. https://doi.org/10.3389/fnins.2012.00106

Standard

EEG oscillations reveal neural correlates of evidence accumulation. / van Vugt, M. K.; Simen, P.; Nystrom, L.; Holmes, P.; Cohen, J. D.

In: Frontiers in Human Neuroscience, Vol. 6, 106, 16.07.2012.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

van Vugt MK, Simen P, Nystrom L, Holmes P, Cohen JD. EEG oscillations reveal neural correlates of evidence accumulation. Frontiers in Human Neuroscience. 2012 Jul 16;6. 106. https://doi.org/10.3389/fnins.2012.00106


BibTeX

@article{9288dccc07f047438c251dc1e21b38ed,
title = "EEG oscillations reveal neural correlates of evidence accumulation",
abstract = "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.",
keywords = "EEG, oscillations, decision making, drift diffusion model, Model-based neuroscience",
author = "{van Vugt}, {M. K.} and P. Simen and L. Nystrom and P. Holmes and Cohen, {J. D.}",
year = "2012",
month = "7",
day = "16",
doi = "10.3389/fnins.2012.00106",
language = "English",
volume = "6",
journal = "Frontiers in Human Neuroscience",
issn = "1662-5161",
publisher = "Frontiers Media S.A.",

}

RIS

TY - JOUR

T1 - EEG oscillations reveal neural correlates of evidence accumulation

AU - van Vugt, M. K.

AU - Simen, P.

AU - Nystrom, L.

AU - Holmes, P.

AU - Cohen, J. D.

PY - 2012/7/16

Y1 - 2012/7/16

N2 - 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.

AB - 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.

KW - EEG

KW - oscillations

KW - decision making

KW - drift diffusion model

KW - Model-based neuroscience

U2 - 10.3389/fnins.2012.00106

DO - 10.3389/fnins.2012.00106

M3 - Article

VL - 6

JO - Frontiers in Human Neuroscience

JF - Frontiers in Human Neuroscience

SN - 1662-5161

M1 - 106

ER -

ID: 13280609