Variability of single trial brain activation predicts fluctuations in reaction time

• Verfasst von: Bender, Stephan [VerfasserIn]
• Verfasst von: Banaschewski, Tobias [VerfasserIn]
• Verfasst von: Rietschel, Marcella [VerfasserIn]
• Verfasst von: Brandeis, Daniel [VerfasserIn]
• Verfasst von: Laucht, Manfred [VerfasserIn]
• Titel: Variability of single trial brain activation predicts fluctuations in reaction time
• Verf.angabe: Stephan Bender, Tobias Banaschewski, Veit Roessner, Christoph Klein, Marcella Rietschel, Bernd Feige, Daniel Brandeis, Manfred Laucht
• E-Jahr: 2015
• Jahr: March 2015
• Umfang: 11 S.
• Fussnoten: Gesehen am 20.09.2017
• Titel Quelle: Enthalten in: Biological psychology
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 1973
• Jahr Quelle: 2015
• Band/Heft Quelle: 106(2015), Seite 50-60
• ISSN Quelle: 1873-6246
• DOI: doi:10.1016/j.biopsycho.2015.01.013
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Event-related potential
• Sach-SW: Haplotype
• Sach-SW: Intertrial coherence
• Sach-SW: Low frequency amplitude variability
• Sach-SW: Psychosocial stress
• Sach-SW: Topographic consistency
• K10plus-PPN: 156367694X

Abstract

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 interacted with environmental and biological risk factors to predict behavioural reaction time variability.