Literature DB >> 24699015

Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution.

Udo Boehm1, Leendert van Maanen2, Birte Forstmann3, Hedderik van Rijn4.   

Abstract

The contingent negative variation, a slow cortical potential, occurs when humans are warned by a stimulus about an upcoming task. The cognitive processes that give rise to this EEG potential are not yet well understood. To explain these processes, we adopt a recently developed theoretical framework from the area of perceptual decision-making. This framework assumes that the basal ganglia control the tradeoff between fast and accurate decision-making in the cortex. It suggests that an increase in cortical excitability serves to lower response caution, which results in faster but more error prone responding. We propose that the CNV reflects this increased cortical excitability. To test this hypothesis, we conducted an EEG experiment in which participants performed the random dot motion task either under speed or under accuracy stress. Our results show that trial-by-trial fluctuations in participants' response speed as well as model-based estimates of response caution correlated with single-trial CNV amplitude under conditions of speed but not accuracy stress. We conclude that the CNV might reflect adjustments of response caution, which serves to enhance quick decision-making.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CNV; EEG; Linear ballistic accumulation; Response caution; Slow wave potentials; Speed-accuracy tradeoff

Mesh:

Year:  2014        PMID: 24699015     DOI: 10.1016/j.neuroimage.2014.03.063

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


  14 in total

1.  Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection.

Authors:  Royce Anders; Stéphanie Riès; Leendert Van Maanen; F-Xavier Alario
Journal:  Cogn Neuropsychol       Date:  2017-03-01       Impact factor: 2.468

Review 2.  Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions.

Authors:  B U Forstmann; R Ratcliff; E-J Wagenmakers
Journal:  Annu Rev Psychol       Date:  2015-09-17       Impact factor: 24.137

3.  Approaches to Analysis in Model-based Cognitive Neuroscience.

Authors:  Brandon M Turner; Birte U Forstmann; Bradley C Love; Thomas J Palmeri; Leendert Van Maanen
Journal:  J Math Psychol       Date:  2016-02-17       Impact factor: 2.223

4.  Neurophysiological mechanisms of cortical plasticity impairments in schizophrenia and modulation by the NMDA receptor agonist D-serine.

Authors:  Joshua T Kantrowitz; Michael L Epstein; Odeta Beggel; Stephanie Rohrig; Jonathan M Lehrfeld; Nadine Revheim; Nayla P Lehrfeld; Jacob Reep; Emily Parker; Gail Silipo; Merav Ahissar; Daniel C Javitt
Journal:  Brain       Date:  2016-12       Impact factor: 13.501

5.  The impact of MRI scanner environment on perceptual decision-making.

Authors:  Leendert van Maanen; Birte U Forstmann; Max C Keuken; Eric-Jan Wagenmakers; Andrew Heathcote
Journal:  Behav Res Methods       Date:  2016-03

Review 6.  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

7.  Temporal Dynamics of Proactive and Reactive Motor Inhibition.

Authors:  Matthias Liebrand; Inga Pein; Elinor Tzvi; Ulrike M Krämer
Journal:  Front Hum Neurosci       Date:  2017-04-27       Impact factor: 3.169

8.  Cognitive Control of Working Memory: A Model-Based Approach.

Authors:  Russell J Boag; Niek Stevenson; Roel van Dooren; Anne C Trutti; Zsuzsika Sjoerds; Birte U Forstmann
Journal:  Brain Sci       Date:  2021-05-28

9.  Competing basal ganglia pathways determine the difference between stopping and deciding not to go.

Authors:  Kyle Dunovan; Brighid Lynch; Tara Molesworth; Timothy Verstynen
Journal:  Elife       Date:  2015-09-24       Impact factor: 8.140

10.  Three Boundary Conditions for Computing the Fixed-Point Property in Binary Mixture Data.

Authors:  Leendert van Maanen; Joaquina Couto; Mael Lebreton
Journal:  PLoS One       Date:  2016-11-28       Impact factor: 3.752

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.