Dissociable Effects of Reward on P300 and EEG Spectra Under Conditions of High vs. Low Vigilance During a Selective Visual Attention Task.
event-related potential
event-related spectral perturbation
mental fatigue
motivation
selective visual attention
vigilance
Journal
Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954
Informations de publication
Date de publication:
2020
2020
Historique:
received:
15
09
2019
accepted:
07
05
2020
entrez:
17
7
2020
pubmed:
17
7
2020
medline:
17
7
2020
Statut:
epublish
Résumé
The influence of motivation on selective visual attention in states of high vs. low vigilance is poorly understood. To explore the possible differences in the influence of motivation on behavioral performance and neural activity in high and low vigilance levels, we conducted a prolonged 2 h 20 min flanker task and provided monetary rewards during the 20- to 40- and 100- to 120-min intervals of task performance. Both the behavioral and electrophysiological measures were modulated by prolonged task engagement. Moreover, the effect of reward was different in high vs. low vigilance states. The monetary reward increased accuracy and decreased the reaction time (RT) and number of omitted responses in the low but not in the high vigilance state. The fatigue-related decrease in P300 amplitude recovered to its level in the high vigilance state by manipulating motivation, whereas the fatigue-related increase in P300 latency was not modulated by reward. Additionally, the fatigue-related increase in event-related spectral power at 1-4 Hz was sensitive to vigilance decrement and reward. However, the spectral power at 4-8 Hz was only affected by the decrease in vigilance. These electrophysiological measures were not influenced by motivation in the state of high vigilance. Our results suggest that neural processing capacity, but not the timing of processing, is sensitive to motivation. These findings also imply that the fatigue-related impairments in behavioral performance and neural activity underlying selective visual attention only partly recover after manipulating motivation. Furthermore, our results provide evidence for the dissociable neural mechanisms underlying the fatigue-related decrease vs. reward-related increase in attentional resources.
Identifiants
pubmed: 32670036
doi: 10.3389/fnhum.2020.00207
pmc: PMC7327118
doi:
Types de publication
Journal Article
Langues
eng
Pagination
207Informations de copyright
Copyright © 2020 Liu, Zhang, Zhu, Liu, Sun, Ristaniemi, Cong and Parviainen.
Références
Sleep Med Rev. 2006 Feb;10(1):63-76
pubmed: 16376590
Acta Psychol (Amst). 2008 Sep;129(1):18-25
pubmed: 18499079
Brain Res Rev. 2008 Nov;59(1):125-39
pubmed: 18652844
Annu Rev Neurosci. 1995;18:193-222
pubmed: 7605061
Psychophysiology. 2001 May;38(3):557-77
pubmed: 11352145
Proc Natl Acad Sci U S A. 2018 Jun 12;115(24):E5614-E5623
pubmed: 29848632
Percept Mot Skills. 1964 Apr;18:397-402
pubmed: 14166028
Hum Factors. 2016 May;58(3):472-81
pubmed: 26715686
Front Behav Neurosci. 2015 Jul 13;9:176
pubmed: 26217203
Neuroimage. 2015 May 1;111:549-61
pubmed: 25731995
Biol Psychol. 1995 Oct;41(2):103-46
pubmed: 8534788
Sci Rep. 2015 Jun 09;5:10113
pubmed: 26054837
PLoS One. 2018 Jun 1;13(6):e0198206
pubmed: 29856827
Psychophysiology. 2000 Sep;37(5):614-25
pubmed: 11037038
Neurosci Biobehav Rev. 2012 Jan;36(1):677-95
pubmed: 22020231
Neuroimage. 2014 Oct 1;99:197-206
pubmed: 24878830
Brain Topogr. 2001 Summer;13(4):251-67
pubmed: 11545154
Curr Biol. 2015 Aug 31;25(17):2332-7
pubmed: 26279231
Hum Brain Mapp. 2018 Sep;39(9):3528-3545
pubmed: 29691949
Behav Brain Sci. 2013 Dec;36(6):661-79
pubmed: 24304775
J Appl Physiol (1985). 2009 Mar;106(3):857-64
pubmed: 19131473
Int J Psychophysiol. 2009 May;72(2):204-11
pubmed: 19135100
PLoS One. 2012;7(10):e48073
pubmed: 23118927
Biol Psychol. 2008 Oct;79(2):185-92
pubmed: 18571302
Psychoneuroendocrinology. 2006 Aug;31(7):847-58
pubmed: 16774808
Vision Res. 2012 Jun 1;62:9-16
pubmed: 22503557
Perspect Psychol Sci. 2015 Jan;10(1):82-96
pubmed: 25910383
Int J Psychophysiol. 1996 Nov;24(1-2):161-71
pubmed: 8978441
Int J Psychophysiol. 2019 Dec;146:249-260
pubmed: 31648022
Psychophysiology. 1997 Mar;34(2):131-56
pubmed: 9090263
Cognition. 2015 Jan;134:165-73
pubmed: 25460389
Clin Neurophysiol. 2007 Oct;118(10):2128-48
pubmed: 17573239
Biol Psychol. 2001 Feb;55(3):173-94
pubmed: 11240213
PLoS One. 2014 Feb 13;9(2):e87347
pubmed: 24551055
Biol Psychol. 2014 Oct;102:118-29
pubmed: 25088378
Trends Cogn Sci. 2014 Aug;18(8):414-21
pubmed: 24835663
Biol Psychol. 2006 May;72(2):123-32
pubmed: 16288951
Cortex. 2019 Aug;117:16-32
pubmed: 30925309
Annu Rev Psychol. 2017 Jan 3;68:47-72
pubmed: 28051934
Psychophysiology. 2015 Mar;52(3):305-15
pubmed: 25263028
Cortex. 2003 Sep-Dec;39(4-5):967-92
pubmed: 14584562
Annu Rev Neurosci. 2000;23:315-41
pubmed: 10845067
Brain Res Cogn Brain Res. 2005 Jul;24(2):199-205
pubmed: 15993758
Clin Neurophysiol. 2006 Sep;117(9):1885-901
pubmed: 16581292
Brain Res Cogn Brain Res. 2005 Sep;25(1):107-16
pubmed: 15913965
J Exp Psychol Learn Mem Cogn. 2015 Sep;41(5):1417-1425
pubmed: 25730306
Neuropsychologia. 2019 Feb 4;123:30-40
pubmed: 29936122
Neuropsychologia. 2017 May;99:48-63
pubmed: 28259771
Science. 1977 Aug 19;197(4305):792-5
pubmed: 887923