Chess Experience and EEG Brain Cortical Organisation: An Analysis Using Entropy, Multivariate Statistics and Loreta Sources
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2017
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ROCHA, F. T.
SILVA, L. R. D.
CESAR, F. H. G.
GIRALDI, G. A.
Carlos E. Thomaz
SILVA, L. R. D.
CESAR, F. H. G.
GIRALDI, G. A.
Carlos E. Thomaz
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Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017
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ROCHA, F. T.; SILVA, L. R. D.; CESAR, F. H. G.; GIRALDI, G. A.; THOMAZ, C. E. Chess Experience and EEG Brain Cortical Organisation: An Analysis Using Entropy, Multivariate Statistics and Loreta Sources. Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, p. 185-192, nov. 2017.
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© 2017 IEEE.Chess game has been used as a rich environment to study human cognition and several works in the neuroscientific domain have been done using different brain mapping techniques for this purpose. Here we have processed the electroencephalographical signal to create spatial cognitive brain mappings using entropy, multivariate statistics and Loreta sources. The goal is to disclose the possible differences in the cortical organisation of individuals with different proficiencies during chess problems solving. Volunteers were grouped into two different stages according to their performances, classified as beginners or experienced players. Our experimental results on brain mappings have suggested that both groups recruit visual areas to process the spatial informational of the chess board but beginners may rely more on the linguistic information presented whereas the experienced group seems to count on the executive functions.