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Updated: Jan 17, 2026

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
Published on: June 29, 2021
From perceiving words to reading: Neural multivariate representations of sublexical vs. lexico-semantic processing
Abraham Sánchez1, Pedro M Paz-Alonso2, Manuel Carreiras3
1Basque Center on Cognition Brain and Language (BCBL), Donostia-San Sebastián, Spain; University of the Basque Country (EHU/UPV), Donostia-San Sebastián, Spain.
This study reveals distinct brain regions for processing word meaning (semantic) versus word form (sublexical). Semantic information is processed in anterior frontal and occipitotemporal areas, while sublexical information is processed in posterior regions.
Area of Science:
- Neurobiology of Language
- Cognitive Neuroscience
- Neuroimaging
Background:
- Neural basis of semantic cognition is well-studied, but extracting meaning from visual language input remains unclear.
- Previous research used psycholinguistic properties and Natural Language Processing (NLP) models, lacking direct comparison of sublexical and lexico-semantic processing.
- Understanding the interaction between sublexical (phonological, orthographic) and lexico-semantic systems is crucial for the neurobiology of language.
Purpose of the Study:
- To investigate the distinct neural representations of sublexical and lexico-semantic information during visual word processing.
- To compare brain activity patterns associated with psycholinguistic properties, NLP models, and their relationship to semantic and sublexical features.
- To elucidate how sublexical and lexico-semantic systems interact within the brain.
Main Methods:
- Functional Magnetic Resonance Imaging (fMRI) study with 30 participants performing a lexical decision task.
- Careful control of sublexical (phonological, orthographic) and lexico-semantic properties (word frequency, familiarity, concreteness).
- Representational Similarity Analysis (RSA) comparing multivariate brain patterns with models of sublexical, semantic, and NLP (word vector) relations.
Main Results:
- Sublexical and lexico-semantic representations were found to recruit different brain areas within the left inferior frontal gyrus (IFG) and ventral occipitotemporal cortex (vOTC).
- Anterior IFG and vOTC showed representations of semantic models, whereas posterior IFG (e.g., SMA) and posterior vOTC (e.g., V3-V4) represented sublexical models.
- Both semantic and NLP models converged in key semantic hubs, including the inferior anterior temporal lobe (ATL), parahippocampal gyrus, and anterior IFG.
Conclusions:
- The findings delineate distinct neural pathways for processing word form versus word meaning in the human brain.
- This research provides critical insights into the neurobiological mechanisms underlying visual language comprehension.
- The convergence of semantic and NLP models in specific brain regions highlights their role as semantic hubs.
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