Literature DB >> 21911213

Electrophysiological correlates of decision making under varying levels of uncertainty.

Amy R Bland1, Alexandre Schaefer.   

Abstract

When making decisions we are often faced with uncertainty about the potential outcomes of a choice. We therefore must rely upon a stimulus-response-outcome (S-R-O) rule learned from previous experiences of gains and losses. Here we report a study that used event-related potentials (ERP) to examine the neural and cognitive mechanisms involved in decision making when S-R-O rules are changing in a volatile manner. Thirty-one participants engaged in a reward-based decision-making task in which two contextual determinants of decision uncertainty were independently manipulated: Volatility (i.e. the frequency of changes in the S-R-O rules) and Feedback validity (i.e. the extent to which an S-R-O rule accurately predicts outcomes). Results of stimulus-locked ERPs showed that volatility of S-R-O rules was associated with two well-known neural signatures of cognitive control processes. First, increased S-R-O volatility in a high FV context was associated with frontally-based N2 (200-350ms) and N400 (350-500ms) components. Second, in a low FV context, volatility was associated with an enhanced late positive complex (LPC, 500-800ms) largest on frontal sites. Feedback-locked ERPs showed an enhanced Feedback-Related Negativity (FRN) and P300 for losses compared to wins as well as a volatility driven FRN. These results suggest that, in a high FV context, coping with volatility might involve conflict monitoring processes. However, in a low FV context, coping with frequent changes in the S-R-O rule might require greater attentional and working memory (WM) resources.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21911213     DOI: 10.1016/j.brainres.2011.08.031

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  17 in total

Review 1.  The expected value of control: an integrative theory of anterior cingulate cortex function.

Authors:  Amitai Shenhav; Matthew M Botvinick; Jonathan D Cohen
Journal:  Neuron       Date:  2013-07-24       Impact factor: 17.173

2.  Electrophysiological correlates reflect the integration of model-based and model-free decision information.

Authors:  Ben Eppinger; Maik Walter; Shu-Chen Li
Journal:  Cogn Affect Behav Neurosci       Date:  2017-04       Impact factor: 3.282

3.  Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To?

Authors:  Michal Müller; Petr Adámek; Silvie Kotherová; Marek Petrů; Tomáš Bubík; Anna Daušová; Leona Pelíšková
Journal:  Integr Psychol Behav Sci       Date:  2022-08-09       Impact factor: 1.156

4.  Different varieties of uncertainty in human decision-making.

Authors:  Amy R Bland; Alexandre Schaefer
Journal:  Front Neurosci       Date:  2012-06-08       Impact factor: 4.677

5.  Neural Correlates of Successful and Unsuccessful Strategical Mechanisms Involved in Uncertain Decision-Making.

Authors:  Julie Giustiniani; Damien Gabriel; Magali Nicolier; Julie Monnin; Emmanuel Haffen
Journal:  PLoS One       Date:  2015-06-18       Impact factor: 3.240

6.  Differential effects of reward and punishment in decision making under uncertainty: a computational study.

Authors:  Elaine Duffin; Amy R Bland; Alexandre Schaefer; Marc de Kamps
Journal:  Front Neurosci       Date:  2014-02-21       Impact factor: 4.677

7.  Towards a Functional Neuromarker of Impulsivity: Feedback-Related Brain Potential during Risky Decision-Making Associated with Self-Reported Impulsivity in a Non-Clinical Sample.

Authors:  Juliana Teti Mayer; Charline Compagne; Magali Nicolier; Yohan Grandperrin; Thibault Chabin; Julie Giustiniani; Emmanuel Haffen; Djamila Bennabi; Damien Gabriel
Journal:  Brain Sci       Date:  2021-05-21

8.  Relative changes from prior reward contingencies can constrain brain correlates of outcome monitoring.

Authors:  Faisal Mushtaq; Gijsbert Stoet; Amy Rachel Bland; Alexandre Schaefer
Journal:  PLoS One       Date:  2013-06-20       Impact factor: 3.240

9.  Brain activity and medical diagnosis: an EEG study.

Authors:  Laila Massad Ribas; Fábio Theoto Rocha; Neli Regina Siqueira Ortega; Armando Freitas da Rocha; Eduardo Massad
Journal:  BMC Neurosci       Date:  2013-10-01       Impact factor: 3.288

10.  Neural correlates of uncertain decision making: ERP evidence from the Iowa Gambling Task.

Authors:  Ji-Fang Cui; Ying-He Chen; Ya Wang; David H K Shum; Raymond C K Chan
Journal:  Front Hum Neurosci       Date:  2013-11-15       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.