September 23, 2026
Hojat Ghimatgar

Hojat Ghimatgar

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Electrical Engineering-Communication System
Phone: 09394959842
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title EFL Learners’ event-related brain responses to verbal argument congruency and cross-linguistic syntactic differences in processing English sentences modulated by proficiency
Type Article
Keywords
Semantic congruity, verbal argument structure, language-related brain potentials, N400, P600, language proficiency, cross-linguistic syntactic differences
Journal Language, Cognition and Neuroscience
DOI https://doi.org/10.1080/23273798.2026.2708081
Researchers morvarid dashti (First researcher) , Fatemeh Nemati (Second researcher) , Mehdi Purmohammad (Third researcher) , Reza Khosroabadi (Fourth researcher) , Hojat Ghimatgar (Fifth researcher)

Abstract

Second-language (L2) sentence comprehension necessitates the real-time integration of semantic and syntactic information. However, how cross-linguistic structural divergences interact with semantic congruity to shape neurocognitive processing remains poorly understood. This study investigated neural processing in Iranian EFL learners using a Rapid Serial Visual Presentation (RSVP) paradigm, recording ERP responses (N400, P600) across four conditions manipulating semantic congruity and L1–L2 syntactic divergence in verb–preposition patterns. Despite ceiling-level behavioural accuracy, ERP results revealed a functional dissociation between semantic and syntactic processing streams. Semantically incongruent items elicited robust, proficiency-invariant N400 effects, indicating declarative memory-based semantic integration. P600 amplitudes, indexing structural reanalysis, varied significantly with syntactic divergence and proficiency: intermediate learners showed attenuated responses relative to advanced learners' native-like sensitivity, supporting the Shallow Structure Hypothesis. These findings suggest L2 development involves stabilisation of declarative semantic mechanisms, followed by gradual, proficiency-dependent recruitment of procedural memory for syntactic parsing, consistent with the Declarative/Procedural model.