Maëlle Biotteau1, Patrice Péran2, Nathalie Vayssière3, Jessica Tallet4, Jean-Michel Albaret5, Yves Chaix6. 1. Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France. Electronic address: maelle.biotteau@inserm.fr. 2. Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France. Electronic address: patrice.peran@inserm.fr. 3. CerCo, UMR 5549 CNRS UPS, Toulouse, France. Electronic address: vayssiere@cerco.ups-tlse.fr. 4. Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France. Electronic address: jessica.tallet@univ-tlse3.fr. 5. Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France. Electronic address: jean-michel.albaret@univ-tlse3.fr. 6. Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Hôpital des Enfants, Centre Hospitalier Universitaire de Toulouse, CHU Purpan, Place du Dr Baylac, F-31059 Toulouse Cedex 9, France. Electronic address: chaix.y@chu-toulouse.fr.
Abstract
OBJECTIVE: Recent theories hypothesize that procedural learning may support the frequent overlap between neurodevelopmental disorders. The neural circuitry supporting procedural learning includes, among others, cortico-cerebellar and cortico-striatal loops. Alteration of these loops may account for the frequent comorbidity between Developmental Coordination Disorder (DCD) and Developmental Dyslexia (DD). The aim of our study was to investigate cerebral changes due to the learning and automatization of a sequence learning task in children with DD, or DCD, or both disorders. METHOD: fMRI on 48 children (aged 8-12) with DD, DCD or DD + DCD was used to explore their brain activity during procedural tasks, performed either after two weeks of training or in the early stage of learning. RESULTS: Firstly, our results indicate that all children were able to perform the task with the same level of automaticity, but recruit different brain processes to achieve the same performance. Secondly, our fMRI results do not appear to confirm Nicolson and Fawcett's model. The neural correlates recruited for procedural learning by the DD and the comorbid groups are very close, while the DCD group presents distinct characteristics. This provide a promising direction on the neural mechanisms associated with procedural learning in neurodevelopmental disorders and for understanding comorbidity. Published by Elsevier Ltd.
OBJECTIVE: Recent theories hypothesize that procedural learning may support the frequent overlap between neurodevelopmental disorders. The neural circuitry supporting procedural learning includes, among others, cortico-cerebellar and cortico-striatal loops. Alteration of these loops may account for the frequent comorbidity between Developmental Coordination Disorder (DCD) and Developmental Dyslexia (DD). The aim of our study was to investigate cerebral changes due to the learning and automatization of a sequence learning task in children with DD, or DCD, or both disorders. METHOD: fMRI on 48 children (aged 8-12) with DD, DCD or DD + DCD was used to explore their brain activity during procedural tasks, performed either after two weeks of training or in the early stage of learning. RESULTS: Firstly, our results indicate that all children were able to perform the task with the same level of automaticity, but recruit different brain processes to achieve the same performance. Secondly, our fMRI results do not appear to confirm Nicolson and Fawcett's model. The neural correlates recruited for procedural learning by the DD and the comorbid groups are very close, while the DCD group presents distinct characteristics. This provide a promising direction on the neural mechanisms associated with procedural learning in neurodevelopmental disorders and for understanding comorbidity. Published by Elsevier Ltd.
Authors: Edward G Freedman; Sophie Molholm; Michael J Gray; Daniel Belyusar; John J Foxe Journal: J Neurodev Disord Date: 2017-11-09 Impact factor: 4.025
Authors: Maria Esposito; Francesco Precenzano; Ilaria Bitetti; Ilaria Zeno; Eugenio Merolla; Maria Cristina Risoleo; Valentina Lanzara; Marco Carotenuto Journal: Int J Environ Res Public Health Date: 2019-10-02 Impact factor: 3.390