Evidence map›Paper›PMID 36726504›Full record

ArticleFrontiers in psychology2022

Functional neuroanatomy of reading in Czech: Evidence of a dual-route processing architecture in a shallow orthography.

Marek Bartoň, Steven Z Rapcsak, Vojtěch Zvončák, Radek Mareček, Václav Cvrček, Irena Rektorová

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Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Language network disruption in patients with Lewy body diseases.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Marek BartoňApplied Neuroscience Research Group, Central European Institute of Technology - CEITEC, Masaryk University, Brno, Czechia.
Steven Z RapcsakDepartment of Neurology, University of Arizona, Tucson, AZ, United States.
Vojtěch ZvončákDepartment of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czechia.
Radek MarečekApplied Neuroscience Research Group, Central European Institute of Technology - CEITEC, Masaryk University, Brno, Czechia.
Václav CvrčekInstitute of the Czech National Corpus, Charles University, Prague, Czechia.
Irena RektorováApplied Neuroscience Research Group, Central European Institute of Technology - CEITEC, Masaryk University, Brno, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: According to the strong version of the orthographic depth hypothesis, in languages with transparent letter-sound mappings (shallow orthographies) the reading of both familiar words and unfamiliar nonwords may be accomplished by a sublexical pathway that relies on serial grapheme-to-phoneme conversion. However, in languages such as English characterized by inconsistent letter-sound relationships (deep orthographies), word reading is mediated by a lexical-semantic pathway that relies on mappings between word-specific orthographic, semantic, and phonological representations, whereas the sublexical pathway is used primarily to read nonwords. Methods: In this study, we used functional magnetic resonance imaging to elucidate neural substrates of reading in Czech, a language characterized by a shallo worthography. Specifically, we contrasted patterns of brain activation and connectivity during word and nonword reading to determine whether similar or different neural mechanisms are involved. Neural correlates were measured as differences in simple whole-brain voxel-wise activation, and differences in visual word form area (VWFA) task-related connectivity were computed on the group level from data of 24 young subject. Trial-to-trial reading reaction times were used as a measure of task difficulty, and these effects were subtracted from the activation and connectivity effects in order to eliminate difference in cognitive effort which is naturally higher for nonwords and may mask the true lexicality effects. Results: We observed pattern of activity well described in the literature mostly derived from data of English speakers - nonword reading (as compared to word reading) activated the sublexical pathway to a greater extent whereas word reading was associated with greater activation of semantic networks. VWFA connectivity analysis also revealed stronger connectivity to a component of the sublexical pathway - left inferior frontal gyrus (IFG), for nonword compared to word reading. Discussion: These converging results suggest that the brain mechanism of skilled reading in shallow orthography languages are similar to those engaged when reading in languages with a deep orthography and are supported by a universal dual-pathway neural architecture.

Indexed as

fMRIlexical-semanticphonologyreadingshallow orthographyvisual word form areaVWFA

Identifiers

PMID36726504
PMCPMC9885179

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.