Neurobiology of numerical learning.

brain structures dyscalculia genetics mathematical capacities neurobiology numerical cognition

Journal

Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090

Informations de publication

Date de publication:
12 Jan 2024
Historique:
received: 11 07 2023
revised: 29 12 2023
accepted: 09 01 2024
medline: 15 1 2024
pubmed: 15 1 2024
entrez: 14 1 2024
Statut: aheadofprint

Résumé

Numerical abilities are complex cognitive skills essential for dealing with requirements of the modern world. Although the brain structures and functions underlying numerical cognition in different species have long been appreciated, genetic and molecular techniques have more recently expanded the knowledge about the mechanisms underlying numerical learning. In this review, we discuss the status of the research related to the neurobiological bases of numerical abilities. We consider how genetic factors have been associated with mathematical capacities and how these link to the current knowledge of brain regions underlying these capacities in human and non-human animals. We further discuss the extent to which significant variations in the levels of specific neurotransmitters may be used as potential markers of individual performance and learning difficulties and take into consideration the therapeutic potential of brain stimulation methods to modulate learning and improve interventional outcomes. The implications of this research for formulating a more comprehensive view of the neural basis of mathematical learning are discussed.

Identifiants

pubmed: 38220032
pii: S0149-7634(24)00013-7
doi: 10.1016/j.neubiorev.2024.105545
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105545

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest The authors declare no conflict of interest.

Auteurs

Emma Visibelli (E)

Department of Developmental Psychology and Socialization, University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy.

Giulia Vigna (G)

Department of Developmental Psychology and Socialization, University of Padova, Padova, Italy.

Chiara Nascimben (C)

Department of Developmental Psychology and Socialization, University of Padova, Padova, Italy.

Silvia Benavides-Varela (S)

Department of Developmental Psychology and Socialization, University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy. Electronic address: silvia.benavidesvarela@unipd.it.

Classifications MeSH