Brain electroencephalographic segregation as a biomarker of learning

F. Miraglia, F. Vecchio, P.M. Rossini

Research output: Contribution to journalArticlepeer-review

Abstract

The aim of the present study was to understand whether modeling brain function in terms of network structure makes it possible to find markers of prediction of motor learning performance in a sensory motor learning task. By applying graph theory indexes of brain segregation – such as modularity and transitivity – to functional connectivity data derived from electroencephalographic (EEG) rhythms, we further studied pre- (baseline) versus post-task brain network architecture to understand whether motor learning induces changes in functional brain connectivity. The results showed that, after the training session with measurable learning, transitivity increased in the alpha1 EEG frequency band and modularity increased in the theta band and decreased in the gamma band, suggesting that brain segregation is modulated by the cognitive task. Furthermore, it was observed that theta modularity at the baseline negatively correlated with the performance improvement; namely, the lower this connectivity index at the baseline pre-task period, the higher the improvement of performance with training. The present results show that brain segregation is modulated by the cognitive task and that it is possible to predict performance by the study of pre-task EEG rhythm connectivity parameters. © 2018 Elsevier Ltd
Original languageEnglish
Pages (from-to)168-174
Number of pages7
JournalNeural Networks
Volume106
DOIs
Publication statusPublished - 2018

Keywords

  • Electroencephalography
  • Network architecture, Brain connectivity
  • Connectivity
  • Connectivity indices
  • Electroencephalographic (EEG)
  • Functional connectivity
  • Learning
  • Network structures
  • Performance improvements, Graph theory, biological marker, aged
  • alpha rhythm
  • Article
  • biological model
  • brain function
  • brain region
  • cognition
  • controlled study
  • electroencephalography
  • female
  • functional connectivity
  • gamma rhythm
  • human
  • human experiment
  • male
  • mental performance
  • mental task
  • motor learning
  • nervous system parameters
  • neuromodulation
  • normal human
  • prediction
  • priority journal
  • sensory nerve
  • theta rhythm
  • brain
  • brain mapping
  • learning
  • middle aged
  • nerve cell network
  • photostimulation
  • physiology
  • procedures
  • psychomotor performance, Aged
  • Brain
  • Brain Mapping
  • Cognition
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nerve Net
  • Photic Stimulation
  • Psychomotor Performance

Fingerprint

Dive into the research topics of 'Brain electroencephalographic segregation as a biomarker of learning'. Together they form a unique fingerprint.

Cite this