Alterations in functional brain connectivity associated with developmental dyscalculia.

Autor: Mateu-Estivill R; Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain.; Institute of Neurosciences, University of Barcelona, Barcelona, Spain., Adan A; Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain.; Institute of Neurosciences, University of Barcelona, Barcelona, Spain., Grau S; Digital Care Research Group, University of Vic - Central University of Catalonia, Vic, Spain., Rifà-Ros X; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat, L'Hospitalet de Llobregat, Spain., Caldú X; Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain.; Institute of Neurosciences, University of Barcelona, Barcelona, Spain., Bargalló N; Centre Diagnòstic per la Imatge, Hospital Clínic de Barcelona (CDIC), Barcelona, Spain., Serra-Grabulosa JM; Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain.; Institute of Neurosciences, University of Barcelona, Barcelona, Spain.
Jazyk: angličtina
Zdroj: Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2024 Nov-Dec; Vol. 34 (6), pp. 694-703. Date of Electronic Publication: 2024 Sep 05.
DOI: 10.1111/jon.13236
Abstrakt: Background and Purpose: In recent years, there has been a growing interest in the study of resting neural networks in different neurological and mental disorders. While previous studies suggest that the default mode network (DMN) may be altered in dyscalculia, the study of resting-state networks in the development of numerical skills, especially in children with developmental dyscalculia (DD), is scarce and relatively recent. Based on this, this study examines differences in resting-state functional connectivity (rs-FC) data of children with DD using functional connectivity multivariate pattern analysis (fc-MVPA), a data-driven methodology that summarizes properties of the entire connectome.
Methods: We performed fc-MVPA on resting-state images of a sample composed of a group of children with DD (n = 19, 8.06 ± 0.87 years) and an age- and sex-matched control group of typically developing children (n = 23, 7.76 ± 0.46 years).
Results: Analysis of fc-MVPA showed significant differences between group connectivity profiles in two clusters allocated in both the right and left medial temporal gyrus. Post hoc effect size results revealed a decreased rs-FC between each temporal pole and the DMN in children with DD and an increased rs-FC between each temporal pole and the sensorimotor network.
Conclusions: Our results suggest an aberrant information flow between resting-state networks in children with DD, demonstrating the importance of these networks for arithmetic development.
(© 2024 The Author(s). Journal of Neuroimaging published by Wiley Periodicals LLC on behalf of American Society of Neuroimaging.)
Databáze: MEDLINE
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