001     19836
005     20210129210734.0
024 7 _ |2 pmid
|a pmid:22145041
024 7 _ |2 pmc
|a pmc:PMC3228758
024 7 _ |2 DOI
|a 10.1371/journal.pone.0028399
024 7 _ |2 WOS
|a WOS:000298168900024
024 7 _ |2 Handle
|a 2128/11175
024 7 _ |a altmetric:476516
|2 altmetric
037 _ _ |a PreJuSER-19836
041 _ _ |a eng
082 _ _ |a 500
084 _ _ |2 WoS
|a Biology
100 1 _ |0 P:(DE-Juel1)131693
|a Langner, R.
|b 0
|u FZJ
245 _ _ |a Mental Fatigue Modulates Dynamic Adaptation to Perceptual Demand in Speeded Detection
260 _ _ |a Lawrence, Kan.
|b PLoS
|c 2011
300 _ _ |a e28399
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |2 DRIVER
|a article
440 _ 0 |0 18181
|a PLOS One
|v 6
|x 1932-6203
|y 12
500 _ _ |a SBE was supported by the Human Brain Project (R01-MH074457-01A1), the Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology (Human Brain Model), and the Deutsche Forschungsgemeinschaft (IRTG 1328). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
520 _ _ |a When stimulus intensity in simple reaction-time tasks randomly varies across trials, detection speed usually improves after a low-intensity trial. With auditory stimuli, this improvement was often found to be asymmetric, being greater on current low-intensity trials. Our study investigated (1) whether asymmetric sequential intensity adaptation also occurs with visual stimuli; (2) whether these adjustments reflect decision-criterion shifts or, rather, a modulation of perceptual sensitivity; and (3) how sequential intensity adaptation and its underlying mechanisms are affected by mental fatigue induced through prolonged performance. In a continuous speeded detection task with randomly alternating high- and low-intensity visual stimuli, the reaction-time benefit after low-intensity trials was greater on subsequent low- than high-intensity trials. This asymmetry, however, only developed with time on task (TOT). Signal-detection analyses showed that the decision criterion transiently became more liberal after a low-intensity trial, whereas observer sensitivity increased when the preceding and current stimulus were of equal intensity. TOT-induced mental fatigue only affected sensitivity, which dropped more on low- than on high-intensity trials. This differential fatigue-related sensitivity decrease selectively enhanced the impact of criterion down-shifts on low-intensity trials, revealing how the interplay of two perceptual mechanisms and their modulation by fatigue combine to produce the observed overall pattern of asymmetric performance adjustments to varying visual intensity in continuous speeded detection. Our results have implications for similar patterns of sequential demand adaptation in other cognitive domains as well as for real-world prolonged detection performance.
536 _ _ |0 G:(DE-Juel1)FUEK409
|2 G:(DE-HGF)
|x 0
|c FUEK409
|a Funktion und Dysfunktion des Nervensystems (FUEK409)
536 _ _ |0 G:(DE-HGF)POF2-89571
|a 89571 - Connectivity and Activity (POF2-89571)
|c POF2-89571
|f POF II T
|x 1
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Adaptation, Physiological
650 _ 2 |2 MeSH
|a Adult
650 _ 2 |2 MeSH
|a Attention: physiology
650 _ 2 |2 MeSH
|a Female
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Male
650 _ 2 |2 MeSH
|a Mental Fatigue: physiopathology
650 _ 2 |2 MeSH
|a Reaction Time: physiology
650 _ 2 |2 MeSH
|a Signal Detection, Psychological
650 _ 2 |2 MeSH
|a Visual Perception: physiology
650 _ 2 |2 MeSH
|a Young Adult
650 _ 7 |2 WoSType
|a J
700 1 _ |0 P:(DE-Juel1)131678
|a Eickhoff, S.B.
|b 1
|u FZJ
700 1 _ |0 P:(DE-HGF)0
|a Steinborn, M.
|b 2
773 _ _ |0 PERI:(DE-600)2267670-3
|a 10.1371/journal.pone.0028399
|g Vol. 6, p. e28399
|p e28399
|q 6|t PLoS one
|v 6
|x 1932-6203
|y 2011
856 7 _ |2 Pubmed Central
|u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3228758
856 4 _ |u https://juser.fz-juelich.de/record/19836/files/journal.pone.0028399.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/19836/files/journal.pone.0028399.gif?subformat=icon
|x icon
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/19836/files/journal.pone.0028399.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/19836/files/journal.pone.0028399.jpg?subformat=icon-700
|x icon-700
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/19836/files/journal.pone.0028399.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:19836
|p openaire
|p open_access
|p driver
|p VDB
|p dnbdelivery
913 2 _ |0 G:(DE-HGF)POF3-571
|1 G:(DE-HGF)POF3-570
|2 G:(DE-HGF)POF3-500
|a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|v Connectivity and Activity
|x 0
913 1 _ |0 G:(DE-HGF)POF2-89571
|a DE-HGF
|v Connectivity and Activity
|x 1
|4 G:(DE-HGF)POF
|1 G:(DE-HGF)POF3-890
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-800
|b Programmungebundene Forschung
|l ohne Programm
914 1 _ |y 2011
915 _ _ |0 LIC:(DE-HGF)CCBY3
|2 HGFVOC
|a Creative Commons Attribution CC BY 3.0
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |0 I:(DE-Juel1)INM-2-20090406
|g INM
|k INM-2
|l Molekulare Organisation des Gehirns
|x 0
970 _ _ |a VDB:(DE-Juel1)134850
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)INM-2-20090406
980 _ _ |a UNRESTRICTED
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21