Literature DB >> 7682924

Localization of activated areas and directional EEG patterns during mental arithmetic.

T Inouye1, K Shinosaki, A Iyama, Y Matsumoto.   

Abstract

In a search for the physiological correlates of mental activity, localized EEG desynchronization induced by mental arithmetic was assessed by the entropy of the EEG power spectrum (irregularity index II). The topographic mapping of II can show a localized cortical activation. Directional EEG patterns during mental arithmetic were further examined with a directed mutual information measure (information flow). These two information measures were compared between resting and mental arithmetic conditions in 10 right-handed subjects as well as one left-handed subject. II significantly increased during mental arithmetic in the left temporo-centro-parietal region in right-handed subjects, thus exhibiting its activation. Significant changes in information flow during mental arithmetic were found in the directions mostly from the temporo-centro-parietal region to other areas and within the frontal region in right-handed subjects: information flow from the left temporal and the mid-frontal areas increased and information flow mostly from the left hemisphere decreased. One left-handed subject showed greater II in right post-temporal area. These findings suggest that the left temporo-centro-parietal activation is specific to calculation processing, and the frontal information flow is related to the active performance of mental arithmetic.

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Year:  1993        PMID: 7682924     DOI: 10.1016/0013-4694(93)90102-2

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  3 in total

1.  The 3-dimensional representation of EEG distance by use of Shannon-Gelfand-Yaglom information measure during mental arithmetic.

Authors:  T Inouye; S Toi; Y Matsumoto; K Shinosaki; A Iyama; N Hosaka
Journal:  Brain Topogr       Date:  1996       Impact factor: 3.020

Review 2.  Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures.

Authors:  J D Bonita; L C C Ambolode; B M Rosenberg; C J Cellucci; T A A Watanabe; P E Rapp; A M Albano
Journal:  Cogn Neurodyn       Date:  2013-09-04       Impact factor: 5.082

Review 3.  Traumatic brain injury detection using electrophysiological methods.

Authors:  Paul E Rapp; David O Keyser; Alfonso Albano; Rene Hernandez; Douglas B Gibson; Robert A Zambon; W David Hairston; John D Hughes; Andrew Krystal; Andrew S Nichols
Journal:  Front Hum Neurosci       Date:  2015-02-04       Impact factor: 3.169

  3 in total

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