Computational anatomy for studying use-dependant brain plasticity.

Details

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State: Public
Version: author
Serval ID
serval:BIB_56D8205BF899
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Computational anatomy for studying use-dependant brain plasticity.
Journal
Frontiers in Human Neuroscience
Author(s)
Draganski B., Kherif F., Lutti A.
ISSN
1662-5161 (Electronic)
ISSN-L
1662-5161
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
8
Pages
380
Language
english
Notes
Publication types: Journal Article ; ReviewPublication Status: epublish
Abstract
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
Yes
Create date
05/08/2014 21:21
Last modification date
20/08/2019 15:11
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