Literature DB >> 23664943

Classic EEG motor potentials track the emergence of value-based decisions.

Sebastian Gluth1, Jörg Rieskamp, Christian Büchel.   

Abstract

Making a value-based decision is a cognitively complex phenomenon and divisible into several sub-processes, such as the perception, evaluation, and final selection of choice options. Although previous research has attempted to dissociate these processes in the brain, there is emerging evidence that late action selection mechanisms are influenced continuously throughout the entire decision act. We used electroencephalography (EEG) and an established sequential decision making paradigm to investigate the extent to which the readiness potential (RP) and the lateralized readiness potential (LRP), two classic preparatory EEG motor components, reflect the ongoing evaluation process in value-based choices. During the task, human participants sequentially sampled probabilistic information to buy or reject offers of unknown value (using both hands) and were allowed to respond at any time. The pressure to respond was manipulated by charging low or high costs for collecting information. We modeled how and when decisions were made and found that participants adaptively lowered their threshold for required evidence with information costs and elapsed time. These shifts were accompanied by an increased RP-like signal during the decision process. The RP was further influenced by the amount of accumulated evidence. In addition, an LRP could be measured from the start of the decision process, well in advance and independent of the final decision. Our results are consistent with a continuous involvement of the brain's motor system in emerging value-based decisions and advocate using classic EEG motor potentials for studying neurocognitive theories of decision making.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23664943     DOI: 10.1016/j.neuroimage.2013.05.005

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

1.  Value-based attentional capture affects multi-alternative decision making.

Authors:  Sebastian Gluth; Mikhail S Spektor; Jörg Rieskamp
Journal:  Elife       Date:  2018-11-05       Impact factor: 8.140

2.  A statistical test for the optimality of deliberative time allocation.

Authors:  Rahul Bhui
Journal:  Psychon Bull Rev       Date:  2019-06

Review 3.  Advances in modeling learning and decision-making in neuroscience.

Authors:  Anne G E Collins; Amitai Shenhav
Journal:  Neuropsychopharmacology       Date:  2021-08-27       Impact factor: 7.853

4.  Disentangling choice value and choice conflict in sequential decisions under risk.

Authors:  Laura Fontanesi; Amitai Shenhav; Sebastian Gluth
Journal:  PLoS Comput Biol       Date:  2022-10-07       Impact factor: 4.779

5.  Timing of readiness potentials reflect a decision-making process in the human brain.

Authors:  Kitty K Lui; Michael D Nunez; Jessica M Cassidy; Joachim Vandekerckhove; Steven C Cramer; Ramesh Srinivasan
Journal:  Comput Brain Behav       Date:  2020-11-25

6.  The Fox and the Grapes-How Physical Constraints Affect Value Based Decision Making.

Authors:  Jörg Gross; Eva Woelbert; Martin Strobel
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

7.  Deciding not to decide: computational and neural evidence for hidden behavior in sequential choice.

Authors:  Sebastian Gluth; Jörg Rieskamp; Christian Büchel
Journal:  PLoS Comput Biol       Date:  2013-10-31       Impact factor: 4.475

Review 8.  Of monkeys and men: Impatience in perceptual decision-making.

Authors:  Udo Boehm; Guy E Hawkins; Scott Brown; Hedderik van Rijn; Eric-Jan Wagenmakers
Journal:  Psychon Bull Rev       Date:  2016-06

9.  Is There Neural Evidence for an Evidence Accumulation Process in Memory Decisions?

Authors:  Marieke K van Vugt; Marijke A Beulen; Niels A Taatgen
Journal:  Front Hum Neurosci       Date:  2016-03-08       Impact factor: 3.169

10.  Lateralized readiness potentials reveal properties of a neural mechanism for implementing a decision threshold.

Authors:  Marieke K van Vugt; Patrick Simen; Leigh Nystrom; Philip Holmes; Jonathan D Cohen
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.