Neural Correlates of Telicity in Spanish-Speaking Children with and without Developmental Language Disorder

Author:

Urrutia Mabel1ORCID,Sanhueza Soraya2,Marrero Hipólito3ORCID,Pino Esteban J.4ORCID,Troncoso-Seguel María4ORCID

Affiliation:

1. Facultad de Educación, Universidad de Concepción, Concepcion 4070386, Chile

2. Facultad de Humanidades y Arte, Universidad de Concepción, Concepcion 4070386, Chile

3. Facultad de Psicología y Logopedia, Instituto Universitario de Neurociencia de la Universidad de La Laguna (IUNE), Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain

4. Facultad de Ingeniería, Universidad de Concepción, Concepcion 4070386, Chile

Abstract

Background: It is broadly acknowledged that children with Developmental Language Disorder (DLD) show verb-related limitations. While most previous studies have focused on tense, the mastery of lexical aspect—particularly telicity—has not been the primary focus of much research. Lexical aspect refers to whether an action has a defined endpoint (telic verbs) or not (atelic verbs). Objective: This study investigates the effect of telicity on verb recognition in Chilean children with DLD compared to their typically developing (TD) peers using the Event-Related Potential (ERP) technique. Method: The research design is a mixed factorial design with between-group factors of 2 (DLD/TD) and within-group factors of 2 (telic/atelic verbs) and 2 (coherent/incoherent sentences). The participants were 36 school-aged children (18 DLD, 18 TD) aged 7 to 7 years and 11 months. The task required subjects to listen to sentences that either matched or did not match an action in a video, with sentences including telic or atelic verbs. Results: The study found notable differences between groups in how they processed verbs (N400 and post-N400 components) and direct objects (N400 and P600 components). Conclusions: Children with DLD struggled to differentiate telic and atelic verbs, potentially because they employed overgeneralization strategies consistent with the Event Structural Bootstrapping model.

Funder

ANID/Fondecyt Regular

PIA-CONICYT Basal Funds for Centers of Excellence Project

Publisher

MDPI AG

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