Literature DB >> 15288429

Electrophysiological correlates of grapheme-phoneme conversion.

Koongliang Huang1, Kosuke Itoh, Shugo Suwazono, Tsutomu Nakada.   

Abstract

The cortical processes underlying grapheme-phoneme conversion were investigated by event-related potentials (ERPs). The task consisted of silent reading or vowel-matching of three Japanese hiragana characters, each representing a consonant-vowel syllable. At earlier latencies, typical components of the visual ERP, namely, P1 (110 ms), N1 (170 ms) and P2 (300 ms), were elicited in the temporo-occipital area for both tasks as well as control task (observing the orthographic shapes of three Korean characters). Following these earlier components, two sustained negativities were identified. The earlier sustained negativity, referred here to as SN1, was found in both the silent-reading and vowel-matching task but not in the control task. The scalp distribution of SN1 was over the left occipito-temporal area, with maximum amplitude over O1. The amplitude of SN1 was larger in the vowel-matching task compared to the silent-reading task, consistent with previous reports that ERP amplitude correlates with task difficulty. SN2, the later sustained negativity, was only observed in the vowel-matching task. The scalp distribution of SN2 was over the midsagittal centro-parietal area with maximum amplitude over Cz. Elicitation of SN2 in the vowel-matching task suggested that the vowel-matching task requires a wider range of neural activities exceeding the established conventional area of language processing.

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Year:  2004        PMID: 15288429     DOI: 10.1016/j.neulet.2004.05.099

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  2 in total

1.  Language context modulates reading route: an electrical neuroimaging study.

Authors:  Karin A Buetler; Diego de León Rodríguez; Marina Laganaro; René Müri; Lucas Spierer; Jean-Marie Annoni
Journal:  Front Hum Neurosci       Date:  2014-02-20       Impact factor: 3.169

2.  A framework to support automated classification and labeling of brain electromagnetic patterns.

Authors:  Gwen A Frishkoff; Robert M Frank; Jiawei Rong; Dejing Dou; Joseph Dien; Laura K Halderman
Journal:  Comput Intell Neurosci       Date:  2007
  2 in total

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