Neural responses to human voice andhemisphere dominance for lexical-semantic processing: An fMRI study

Michihiko Koeda, H. Takahashi, N. Yahata, M. Matsuura, K. Asai, Y. Okubo, H. Tanaka

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Objectives: In our previous functional magnetic resonance imaging (fMRI) study, we determined that there was distinct left hemispheric dominance for lexical-semantic processing without the influence of human voice perception in right-handed healthy subjects. However, the degree of right-handedness in the right-handed subjects ranged from 52 to 100 according to the Edinburgh Handedness Inventory (EHI) score. In the present study, we aimed to clarify the correlation between the degree of right-handedness and language dominance in the fronto-temporo-parietal cortices by examining cerebral activation for lexical-semantic processing. Methods: Twenty-seven normal right-handed healthy subjects were scanned by fMRI while listening to sentences (SEN), reverse sentences (rSEN), and identifiable non-vocal sounds (SND). Fronto-temporo- parietal activation was observed in the left hemisphere under the SEN - rSEN contrast, which included lexical-semantic processing without the influence of human voice perception. Laterality Index was calculated as LI = (L-R)/(L + R) x 100, L: left, R: right. Results: Laterality Index in the fronto-temporo-parietal cortices did not correlate with the degree of right-handedness in EHI score. Conclusions: The present study indicated that the degree of right-handedness from 52 to 100 in EHI score had no effect on the degree of left hemispheric dominance for lexical-semantic processing in right-handed healthy subjects.

Original languageEnglish
Pages (from-to)247-250
Number of pages4
JournalMethods of Information in Medicine
Volume46
Issue number2
DOIs
Publication statusPublished - 2007 Jan 1

Keywords

  • Cerebral laterality
  • Handedness
  • Laterality index
  • Lexical-semantic processing
  • fMRI

ASJC Scopus subject areas

  • Health Informatics
  • Advanced and Specialised Nursing
  • Health Information Management

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