Reading is both a visual and a linguistic task, and as such it relies on both general-purpose, visual mechanisms and more abstract, meaning-oriented processes. Disentangling the roles of these resources is of paramount importance in reading research. The present study capitalizes on the coupling of Fast Periodic Visual Stimulation (FPVS; Rossion, 2014) and MEG recordings to address this issue and investigate the role of dierent kinds of visual and linguistic units in the visual word identification system. We compared strings of pseudo-characters (BACS; C. Vidal & Chetail, 2017); strings of consonants (e.g,. sfcl); readable, but unattested strings (e.g., amsi); frequent, but non-meaningful chunks (e.g., idge); suffixes (e.g., ment); and words (e.g., vibe); and looked for discrimination responses with a particular focus on the ventral, occipito-temporal regions. The results revealed sensitivity to alphabetic, readable, familiar and lexical stimuli. Interestingly, there was no discrimination between suffixes and equally frequent, but meaningless endings, thus highlighting a lack of sensitivity to semantics. Taken together, the data suggest that the visual word identification system, at least in its early processing stages, is particularly tuned to form-based regularities, most likely reflecting its reliance on general-purpose, statistical learning mechanisms that are a core feature of the visual system as implemented in the ventral stream.

Selective Neural Entrainment Reveals Hierarchical Tuning to Linguistic Regularities in Reading / De Rosa, Mara; Vignali, Lorenzo; D'Urso, Anna; Ktori, Maria; Bottini, Roberto; Crepaldi, Davide. - In: NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.). - ISSN 2641-4368. - (In corso di stampa), pp. 1-49. [10.1162/nol_a_00145]

Selective Neural Entrainment Reveals Hierarchical Tuning to Linguistic Regularities in Reading

De Rosa, Mara;Vignali, Lorenzo;D'Urso, Anna;Ktori, Maria;Bottini, Roberto;Crepaldi, Davide
In corso di stampa

Abstract

Reading is both a visual and a linguistic task, and as such it relies on both general-purpose, visual mechanisms and more abstract, meaning-oriented processes. Disentangling the roles of these resources is of paramount importance in reading research. The present study capitalizes on the coupling of Fast Periodic Visual Stimulation (FPVS; Rossion, 2014) and MEG recordings to address this issue and investigate the role of dierent kinds of visual and linguistic units in the visual word identification system. We compared strings of pseudo-characters (BACS; C. Vidal & Chetail, 2017); strings of consonants (e.g,. sfcl); readable, but unattested strings (e.g., amsi); frequent, but non-meaningful chunks (e.g., idge); suffixes (e.g., ment); and words (e.g., vibe); and looked for discrimination responses with a particular focus on the ventral, occipito-temporal regions. The results revealed sensitivity to alphabetic, readable, familiar and lexical stimuli. Interestingly, there was no discrimination between suffixes and equally frequent, but meaningless endings, thus highlighting a lack of sensitivity to semantics. Taken together, the data suggest that the visual word identification system, at least in its early processing stages, is particularly tuned to form-based regularities, most likely reflecting its reliance on general-purpose, statistical learning mechanisms that are a core feature of the visual system as implemented in the ventral stream.
In corso di stampa
1
49
https://doi.org/10.1162/nol_a_00145
De Rosa, Mara; Vignali, Lorenzo; D'Urso, Anna; Ktori, Maria; Bottini, Roberto; Crepaldi, Davide
File in questo prodotto:
File Dimensione Formato  
nol_a_00145.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 5.46 MB
Formato Adobe PDF
5.46 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/138650
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact