Evidence map›Paper›PMID 32670036›Full record

ArticleFrontiers in human neuroscience2020

Dissociable Effects of Reward on P300 and EEG Spectra Under Conditions of High vs. Low Vigilance During a Selective Visual Attention Task.

Jia Liu, Chi Zhang, Yongjie Zhu, Yunmeng Liu, Hongjin Sun, Tapani Ristaniemi, Fengyu Cong, Tiina Parviainen

Abstract read
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Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jia LiuSchool of Biomedical Engineering, Dalian University of Technology, Dalian, China.
Chi ZhangSchool of Biomedical Engineering, Dalian University of Technology, Dalian, China.
Yongjie ZhuSchool of Biomedical Engineering, Dalian University of Technology, Dalian, China.
Yunmeng LiuSchool of Biomedical Engineering, Dalian University of Technology, Dalian, China.
Hongjin SunDepartment of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada.
Tapani RistaniemiFaculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland.
Fengyu CongSchool of Biomedical Engineering, Dalian University of Technology, Dalian, China.
Tiina ParviainenCentre for Interdisciplinary Brain Research, Department of Psychology, Faculty of Education and Psychology, University of Jyvaskyla, Jyvaskyla, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

event-related potentialevent-related spectral perturbationmental fatiguemotivationselective visual attentionvigilance

Identifiers

PMID32670036
PMCPMC7327118

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.