Different slopes for different folks: Alpha and delta EEG power predict subsequent video game learning rate and improvements in cognitive control tasks

Kyle E. Mathewson, Chandramallika Basak, Edward L. Maclin, Kathy A. Low, Walter R. Boot, Arthur F. Kramer, Monica Fabiani, Gabriele Gratton

Research output: Contribution to journalArticle

Abstract

We hypothesized that control processes, as measured using electrophysiological (EEG) variables, influence the rate of learning of complex tasks. Specifically, we measured alpha power, event-related spectral perturbations (ERSPs), and event-related brain potentials during early training of the Space Fortress task, and correlated these measures with subsequent learning rate and performance in transfer tasks. Once initial score was partialled out, the best predictors were frontal alpha power and alpha and delta ERSPs, but not P300. By combining these predictors, we could explain about 50% of the learning rate variance and 10%-20% of the variance in transfer to other tasks using only pretraining EEG measures. Thus, control processes, as indexed by alpha and delta EEG oscillations, can predict learning and skill improvements. The results are of potential use to optimize training regimes.

Original languageEnglish (US)
Pages (from-to)1558-1570
Number of pages13
JournalPsychophysiology
Volume49
Issue number12
DOIs
StatePublished - Dec 2012

Keywords

  • Alpha rhythm
  • Cognitive control
  • Electroencephalogram (EEG)
  • Event-related brain potentials (ERPs)
  • Event-related spectral perturbations (ERSPs)
  • Skill learning
  • Space Fortress
  • Video game training

ASJC Scopus subject areas

  • Neuroscience(all)
  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Neurology
  • Endocrine and Autonomic Systems
  • Developmental Neuroscience
  • Cognitive Neuroscience
  • Biological Psychiatry

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