Taylor & Francis Group
Browse
plcp_a_1804600_sm7479.txt (29.18 kB)

Probing language processing in cochlear implant users with visual word recognition: effects of lexical and orthographic word properties

Download (29.18 kB)
dataset
posted on 2020-08-24, 09:58 authored by Simona Amenta, Luca Artesini, Debora Musola, Giuseppe Nicolò Frau, Francesco Vespignani, Francesco Pavani

Deaf individuals who learned a spoken language with the aid of a cochlear implant (CI) often experience difficulties with reading. In the present study, we investigate this issue by assessing the impact of lexical and orthographic predictors on visual word recognition in early and late deaf CI-users. Early deaf CI-users were comparable to age-matched hearing controls, for both response accuracy and latencies, whereas late deaf CI-users were slower albeit similarly accurate with respect to age-matched controls. Analyses of the impact of lexical and orthographic predictors, however, revealed that early deaf-CI users were slower than controls in recognising low frequency words and words with high proportion of consonants. In conclusion, early deaf individuals who developed their language using a CI show qualitative differences in visual word processing, above and beyond the overall performance. This suggests that typical overall performance may emerge also in the context of atypical lexical and word form representations.

Funding

Finally, we thank Fritz Günther for discussions and help in data visualisation. F.P. and F.V. are supported by a PRIN grant from the Italian Ministry of Education, University and Research (Prot. 20177894ZH). F.P. is supported by a grant from Fondation Medisite (France), from Fondation Neurodis (France) and from Agence Nationale de la Recherche (France).

History

Usage metrics

    Language Cognition and Neuroscience

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC