Computational anatomy for studying use-dependant brain plasticity.


Autoria(s): Draganski B.; Kherif F.; Lutti A.
Data(s)

2014

Resumo

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.

Identificador

https://serval.unil.ch/?id=serval:BIB_56D8205BF899

isbn:1662-5161 (Electronic)

pmid:25018716

doi:10.3389/fnhum.2014.00380

isiid:000339945300004

http://my.unil.ch/serval/document/BIB_56D8205BF899.pdf

http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_56D8205BF8999

Idioma(s)

en

Direitos

info:eu-repo/semantics/openAccess

Fonte

Frontiers in Human Neuroscience, vol. 8, pp. 380

Tipo

info:eu-repo/semantics/review

article