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Variability of single trial brain activation predicts fluctuations in reaction time

  • Brain activation stability is crucial to understanding attention lapses. EEG methods could provide excellent markers to assess neuronal response variability with respect to temporal (intertrial coherence) and spatial variability (topographic consistency) as well as variations in activation intensity (low frequency variability of single trial global field power). We calculated intertrial coherence, topographic consistency and low frequency amplitude variability during target P300 in a continuous performance test in 263 15-year-olds from a cohort with psychosocial and biological risk factors. Topographic consistency and low frequency amplitude variability predicted reaction time fluctuations (RTSD) in a linear model. Higher RTSD was only associated with higher psychosocial adversity in the presence of the homozygous 6R-10R dopamine transporter haplotype. We propose that topographic variability of single trial P300 reflects noise as well as variability in evoked cortical activation patterns. Dopaminergic neuromodulation interactedBrain activation stability is crucial to understanding attention lapses. EEG methods could provide excellent markers to assess neuronal response variability with respect to temporal (intertrial coherence) and spatial variability (topographic consistency) as well as variations in activation intensity (low frequency variability of single trial global field power). We calculated intertrial coherence, topographic consistency and low frequency amplitude variability during target P300 in a continuous performance test in 263 15-year-olds from a cohort with psychosocial and biological risk factors. Topographic consistency and low frequency amplitude variability predicted reaction time fluctuations (RTSD) in a linear model. Higher RTSD was only associated with higher psychosocial adversity in the presence of the homozygous 6R-10R dopamine transporter haplotype. We propose that topographic variability of single trial P300 reflects noise as well as variability in evoked cortical activation patterns. Dopaminergic neuromodulation interacted with environmental and biological risk factors to predict behavioural reaction time variability. (C) 2015 Elsevier B.V. All rights reserved.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Stephan Bender, Tobias BanaschewskiORCiD, Veit Rößner, Christoph Klein, Marcella Rietschel, Bernd Feige, Daniel Brandeis, Manfred LauchtGND
DOI:https://doi.org/10.1016/j.biopsycho.2015.01.013
ISSN:0301-0511
ISSN:1873-6246
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/25643861
Titel des übergeordneten Werks (Englisch):Biological psychology
Verlag:Elsevier
Verlagsort:Amsterdam
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2015
Erscheinungsjahr:2015
Datum der Freischaltung:27.03.2017
Freies Schlagwort / Tag:Event related potential; Haplotype; Intertrial coherence; Low frequency amplitude variability; Psychosocial stress; Topographic consistency
Band:106
Seitenanzahl:11
Erste Seite:50
Letzte Seite:60
Fördernde Institution:German Research Foundation (DFG)
Organisationseinheiten:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
Peer Review:Referiert
Name der Einrichtung zum Zeitpunkt der Publikation:Humanwissenschaftliche Fakultät / Institut für Psychologie
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