Neural adaptation in brain responses to vocal and emotional sounds in school-age children


Por: Ranty Z, Escera C, Merchie A and Gomot M

Publicada: 1 ago 2026 Ahead of Print: 1 may 2026
Resumen:
It is crucial to understand vocal emotion processing, as the ability to perceive and interpret emotional cues in speech plays a fundamental role in social and cognitive development. Child's brains adjust predictions about future sensory inputs, becoming increasingly efficient at interpreting and anticipating sensory input based on accumulated experience. Despite these key aspects of voice perception and the associated neurofunctional massive changes in the auditory cortex, little is known about neural adaptation to voice in school-age children. Neural adaptation was assessed in forty-one 8-13 years children and 27 adults. Auditory evoked potentials (AEPs) were measured in a roving paradigm while trains of 4, 8 and 14 repetitions of vocal (neutral and emotional) and non-vocal sounds were presented. Repetition Positivity (RP) was calculated as the difference between many (12-14) and (2-4) few repetitions. P1 amplitudes were measured to study regularity encoding dynamics according to repetitions. Obligatory AEPs do not display same morphology in both groups: P1-N250 is measured in children while P1-N1-P2 complex is described in adults. RP was measured in both groups in response to all sound categories. Repetition suppression was observed for P1 amplitude regardless of sound category. Our results indicate that regularity-encoding processes remain unaffected by the nature and valence of sounds highlighting an evolutionarily conserved mechanism. This stability suggests that the capacity to detect and adapt to regularities constitutes a fundamental property of the auditory system, enabling efficient filtering of redundant input and optimized allocation of neural resources to novel or behaviorally relevant stimuli. (c) 2026 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Filiaciones:
Ranty Z:
 Université de Tours, INSERM, Imaging Brain & Neuropsychiatry iBraiN U1253, 37032, Tours, France

Escera C:
 Brainlab Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Catalonia Spain

 Institute of Neurosciences, University of Barcelona, Catalonia Spain

 Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Barcelona Spain

Merchie A:
 ACTE at ULB Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium

Gomot M:
 Université de Tours, INSERM, Imaging Brain & Neuropsychiatry iBraiN U1253, 37032, Tours, France
ISSN: 00109452





CORTEX
Editorial
ELSEVIER MASSON, CORP OFF, 65 CAMILLE DESMOULINS CS50083 ISSY-LES-MOULINEAUX, 92442 PARIS, FRANCE, Italia
Tipo de documento: Article
Volumen: 201 Número:
Páginas: 104-118
WOS Id: 001781015600001
ID de PubMed: 42167108
imagen hybrid

MÉTRICAS