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

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Abstract

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.

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  • Math_Anxiety_R3 1

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

    Accepted author manuscript, 402 KB, PDF-document

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Details

Original languageEnglish
Pages (from-to)24-31
JournalInternational Journal of Psychophysiology
Volume122
Early online date5 May 2017
DOIs
Publication statusE-pub ahead of print - 5 May 2017

Bibliographic note

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

    Keywords

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

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