Math anxiety: brain cortical network changes in anticipation of doing mathematics

Manousos A. Klados*, Niki Pandria, Sifis Micheloyannis, Daniel Margulies, Panagiotis D. Bamidis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Following our previous work regarding the involvement of math anxiety (MA) in math-oriented tasks, this study tries to explore the differences in the cerebral networks' topology between self-reported low math-anxious (LMA) and high math-anxious (HMA) individuals, during the anticipation phase prior to a mathematical related experiment. For this reason, multichannel EEG recordings were adopted, while the solution of the inverse problem was applied in a generic head model, in order to obtain the cortical signals. The cortical networks have been computed for each band separately, using the magnitude square coherence metric. The main graph theoretical parameters, showed differences in segregation and integration in almost all EEG bands of the HMAs in comparison to LMAs, indicative of a great influence of the anticipatory anxiety prior to mathematical performance.

Original languageEnglish
Pages (from-to)24-31
JournalInternational Journal of Psychophysiology
Early online date5 May 2017
Publication statusPublished - 1 Dec 2017

Bibliographical note

© 2017, Elsevier. Licensed under the Creative Commons Attribution-
NonCommercial-NoDerivatives 4.0 International.


  • cortical networks
  • functional connectivity
  • graph theory
  • math anxiety


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