Neural correlates of statistical learning in developmental dyslexia: An electroencephalography study.


Journal

Biological psychology
ISSN: 1873-6246
Titre abrégé: Biol Psychol
Pays: Netherlands
ID NLM: 0375566

Informations de publication

Date de publication:
07 2023
Historique:
received: 11 03 2022
revised: 19 05 2023
accepted: 22 05 2023
medline: 17 7 2023
pubmed: 3 6 2023
entrez: 2 6 2023
Statut: ppublish

Résumé

The human brain extracts statistical regularities from the surrounding environment in a process called statistical learning. Behavioural evidence suggests that developmental dyslexia affects statistical learning. However, surprisingly few studies have assessed how developmental dyslexia affects the neural processing underlying this type of learning. We used electroencephalography to explore the neural correlates of an important aspect of statistical learning - sensitivity to transitional probabilities - in individuals with developmental dyslexia. Adults diagnosed with developmental dyslexia (n = 17) and controls (n = 19) were exposed to a continuous stream of sound triplets. Every so often, a triplet ending had a low transitional probability given the triplet's first two sounds ("statistical deviants"). Furthermore, every so often a triplet ending was presented from a deviant location ("acoustic deviants"). We examined mismatch negativity elicited by statistical deviants (sMMN), and MMN elicited by location deviants (i.e., acoustic changes). Acoustic deviants elicited a MMN which was larger in the control group than in the developmental dyslexia group. Statistical deviants elicited a small, yet significant, sMMN in the control group, but not in the developmental dyslexia group. However, the difference between the groups was not significant. Our findings indicate that the neural mechanisms underlying pre-attentive acoustic change detection and implicit statistical auditory learning are both affected in developmental dyslexia.

Identifiants

pubmed: 37268263
pii: S0301-0511(23)00109-6
doi: 10.1016/j.biopsycho.2023.108592
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

108592

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing financial interests.

Auteurs

Tatsuya Daikoku (T)

Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan; Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima city, Hiroshima, Japan. Electronic address: daikoku.tatsuya@mail.u-tokyo.ac.jp.

Sebastian Jentschke (S)

Department of Psychosocial Science, University of Bergen, Bergen, Norway.

Vera Tsogli (V)

Department for Biological and Medical Psychology, University of Bergen, Bergen, Norway.

Kirstin Bergström (K)

Center for Cognitive Science, University of Kaiserslautern-Landau, Kaiserslautern, Germany.

Thomas Lachmann (T)

Center for Cognitive Science, University of Kaiserslautern-Landau, Kaiserslautern, Germany; Centro de Investigación Nebrija en Cognición, Universidad Nebrija, Madrid, Spain.

Merav Ahissar (M)

Psychology Department, Hebrew University, Jerusalem, Israel.

Stefan Koelsch (S)

Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Department for Biological and Medical Psychology, University of Bergen, Bergen, Norway.

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