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10.1109/BIBE.2012.6399746guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

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

Published: 11 November 2012 Publication History

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.

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Published In

cover image Guide Proceedings
BIBE '12: Proceedings of the 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)
November 2012
757 pages
ISBN:9781467343572

Publisher

IEEE Computer Society

United States

Publication History

Published: 11 November 2012

Author Tags

  1. Brain modeling
  2. Educational institutions
  3. Electroencephalography
  4. Graph Theory
  5. Inverse Problem
  6. Mathematical Cognition
  7. Mathematics
  8. Mutual Information
  9. Mutual information
  10. Organizations
  11. Scalp

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