• DocumentCode
    586396
  • Title

    Towards a graph theoretical approach to study gender lateralization effect in mathematical thinking

  • Author

    Klados, Manousos A. ; Lithari, C. ; Antoniou, I. ; Semertzidou, A. ; Bratsas, C. ; Micheloyannis, Sifis ; Bamidis, Panagiotis D.

  • Author_Institution
    Lab. of Med. Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2012
  • fDate
    11-13 Nov. 2012
  • Firstpage
    666
  • Lastpage
    670
  • Abstract
    Gender differences in mathematical thinking is a common concern of scientists from different research fields. Both parents and teachers report that males seem to perform better in complex mathematics compared to females. This study comes to shed light in the different organization of the underlying functional networks, in order to investigate the aforementioned observation, without supporting or rejecting this statement. In this sense, it is generally accepted that females use their both hemispheres to accomplish a certain task, while males use mostly the hemisphere which is properly suited. For the purposes of the current analysis, electroencephalographic recordings were collected from 11 males and 11 females, during a difficult mathematical task. Then a previously proposed model was used in order to pass from the sensor level to the cortical one, in order to examine the networks formed among the cortical dipoles. Mutual information was employed to form the graphs represeting the functional connectivity among the different dipoles, while the density, the global and the local efficiencies were further examined. The results suggest that females use their both hemisphere to solve the complex mathematical task while males use mostly their left hemisphere which is the responsible one for the mathematical thinking.
  • Keywords
    biological techniques; electroencephalography; graph theory; neurophysiology; complex mathematics; cortical dipoles; electroencephalographic recordings; functional connectivity; functional networks; gender lateralization effect; graph theoretical approach; mathematical task; mathematical thinking; mutual information; Brain modeling; Educational institutions; Electroencephalography; Mathematics; Mutual information; Organizations; Scalp; Graph Theory; Inverse Problem; Mathematical Cognition; Mathematics; Mutual Information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4673-4357-2
  • Type

    conf

  • DOI
    10.1109/BIBE.2012.6399746
  • Filename
    6399746