Literature DB >> 25643861

Variability of single trial brain activation predicts fluctuations in reaction time.

Stephan Bender1, Tobias Banaschewski2, Veit Roessner3, Christoph Klein4, Marcella Rietschel5, Bernd Feige6, Daniel Brandeis7, Manfred Laucht8.   

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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Event-related potential; Haplotype; Intertrial coherence; Low frequency amplitude variability; Psychosocial stress; Topographic consistency

Mesh:

Substances:

Year:  2015        PMID: 25643861     DOI: 10.1016/j.biopsycho.2015.01.013

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  7 in total

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Authors:  Jonathan P Stange; Annmarie MacNamara; Amy E Kennedy; Greg Hajcak; K Luan Phan; Heide Klumpp
Journal:  Neuropsychologia       Date:  2017-06-23       Impact factor: 3.139

2.  Genetic influences on phase synchrony of brain oscillations supporting response inhibition.

Authors:  Viktor Müller; Andrey P Anokhin; Ulman Lindenberger
Journal:  Int J Psychophysiol       Date:  2016-06-02       Impact factor: 2.997

Review 3.  Research Review: Use of EEG biomarkers in child psychiatry research - current state and future directions.

Authors:  Sandra K Loo; Agatha Lenartowicz; Scott Makeig
Journal:  J Child Psychol Psychiatry       Date:  2015-06-23       Impact factor: 8.265

4.  Spontaneous Fluctuations in Sensory Processing Predict Within-Subject Reaction Time Variability.

Authors:  Maria J Ribeiro; Joana S Paiva; Miguel Castelo-Branco
Journal:  Front Hum Neurosci       Date:  2016-05-09       Impact factor: 3.169

5.  Genetic contributions to attentional response time slopes across repeated trials.

Authors:  Rebecca A Lundwall; James L Dannemiller
Journal:  BMC Neurosci       Date:  2015-10-15       Impact factor: 3.288

6.  EEG Source Imaging Indices of Cognitive Control Show Associations with Dopamine System Genes.

Authors:  G McLoughlin; J Palmer; S Makeig; N Bigdely-Shamlo; T Banaschewski; M Laucht; D Brandeis
Journal:  Brain Topogr       Date:  2017-12-08       Impact factor: 3.020

7.  Novelty N2-P3a Complex and Theta Oscillations Reflect Improving Neural Coordination Within Frontal Brain Networks During Adolescence.

Authors:  Annika Susann Wienke; Canan Basar-Eroglu; Christina Schmiedt-Fehr; Birgit Mathes
Journal:  Front Behav Neurosci       Date:  2018-09-27       Impact factor: 3.558

  7 in total

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