Dissociating visual form from lexical frequency using Japanese
| Autor: | Joseph T. Devlin, John Hogan, Keith Kawabata Duncan, Tae Twomey, Kazumasa Umeda, Katsuyuki Sakai, Kenji Morita |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male Linguistics and Language Kanji Cognitive Neuroscience Visual Physiology Experimental and Cognitive Psychology Stimulus (physiology) Functional Laterality 050105 experimental psychology Language and Linguistics Young Adult 03 medical and health sciences Speech and Hearing 0302 clinical medicine Image Processing Computer-Assisted Humans Ventral occipito-temporal cortex Morphograph 0501 psychology and cognitive sciences Brain Mapping Communication business.industry Hiragana fMRI 05 social sciences Brain Recognition Psychology Logograph Cognition Middle Aged Word lists by frequency Pattern Recognition Visual Reading Female Written language business Psychology Photic Stimulation 030217 neurology & neurosurgery Coding (social sciences) Cognitive psychology |
| Zdroj: | Brain and Language. 125(2):184-193 |
| ISSN: | 0093-934X |
| DOI: | 10.1016/j.bandl.2012.02.003 |
| Popis: | In Japanese, the same word can be written in either morphographic Kanji or syllabographic Hiragana and this provides a unique opportunity to disentangle a word’s lexical frequency from the frequency of its visual form – an important distinction for understanding the neural information processing in regions engaged by reading. Behaviorally, participants responded more quickly to high than low frequency words and to visually familiar relative to less familiar words, independent of script. Critically, the imaging results showed that visual familiarity, as opposed to lexical frequency, had a strong effect on activation in ventral occipito-temporal cortex. Activation here was also greater for Kanji than Hiragana words and this was not due to their inherent differences in visual complexity. These findings can be understood within a predictive coding framework in which vOT receives bottom-up information encoding complex visual forms and top-down predictions from regions encoding non-visual attributes of the stimulus. |
| Databáze: | OpenAIRE |
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