Computational anatomy for studying use-dependant brain plasticity.

Détails

Ressource 1Télécharger: BIB_56D8205BF899.P001.pdf (579.35 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_56D8205BF899
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Computational anatomy for studying use-dependant brain plasticity.
Périodique
Frontiers in Human Neuroscience
Auteur⸱e⸱s
Draganski B., Kherif F., Lutti A.
ISSN
1662-5161 (Electronic)
ISSN-L
1662-5161
Statut éditorial
Publié
Date de publication
2014
Peer-reviewed
Oui
Volume
8
Pages
380
Langue
anglais
Notes
Publication types: Journal Article ; ReviewPublication Status: epublish
Résumé
In this article we provide a comprehensive literature review on the in vivo assessment of use-dependant brain structure changes in humans using magnetic resonance imaging (MRI) and computational anatomy. We highlight the recent findings in this field that allow the uncovering of the basic principles behind brain plasticity in light of the existing theoretical models at various scales of observation. Given the current lack of in-depth understanding of the neurobiological basis of brain structure changes we emphasize the necessity of a paradigm shift in the investigation and interpretation of use-dependent brain plasticity. Novel quantitative MRI acquisition techniques provide access to brain tissue microstructural properties (e.g., myelin, iron, and water content) in-vivo, thereby allowing unprecedented specific insights into the mechanisms underlying brain plasticity. These quantitative MRI techniques require novel methods for image processing and analysis of longitudinal data allowing for straightforward interpretation and causality inferences.
Pubmed
Web of science
Open Access
Oui
Création de la notice
05/08/2014 21:21
Dernière modification de la notice
20/08/2019 15:11
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