Implication of N400 and P600 waves in the Linguistic Code Change in Monolinguals and Bilinguals

David Achanccaray, Jhonatan Astucuri, Mitsuhiro Hayashibe, Jairo Pirca, Vilma Espinoza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is evidence of the importance of N400 and P600 waves in linguistic processes, theses brain waves are related to syntax. This work proposes to evaluate learning process through the analysis of responses generated when formulation of word is requested, an artificial grammar test (AGT) is developed and N400 and P600 peaks are taken as indicators of performance; and two different groups of subjects took the AGT, 5 monolinguals and 5 bilinguals.The AGT is composed by 30 hybrids, each hybrid defines rules to formulate words; then if this word accomplished the rules, it is considered as grammatical. The N400 and P600 waves are computed by each word letter, and the mean for all 30 hybrids is compared between both two groups by electrode.Greater amplitudes for N400 and P600 peaks was found for monolinguals in comparison with bilinguals.

Original languageEnglish
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2032-2035
Number of pages4
ISBN (Electronic)9781538636466
DOIs
Publication statusPublished - 2018 Oct 26
Externally publishedYes
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: 2018 Jul 182018 Jul 21

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2018-July
ISSN (Print)1557-170X

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
CountryUnited States
CityHonolulu
Period18/7/1818/7/21

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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