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  Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity

Tardif, C., Gauthier, C., Steele, C., Bazin, P.-L., Schäfer, A., Schäfer, A., et al. (2016). Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity. NeuroImage, 131, 55-72. doi:10.1016/j.neuroimage.2015.08.047.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-DDB7-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-114D-4
Genre: Journal Article

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 Creators:
Tardif, Christine1, Author              
Gauthier, Claudine1, 2, Author              
Steele, Christopher1, Author              
Bazin, Pierre-Louis1, 3, Author              
Schäfer, Andreas3, Author              
Schäfer, Alexander4, Author              
Turner, Robert5, Author              
Villringer, Arno1, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2PERFORM Center, Concordia University, Montréal, QC, Canada, ou_persistent22              
3Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205649              
4Clinical Imaging Research Centre & Singapore Institute for Neurotechnology, National University of Singapore, ou_persistent22              
5Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634550              

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Free keywords: Brain plasticity; Learning; Multi-modal MRI; Quantitative MRI
 Abstract: Over the last two decades, numerous human MRI studies of neuroplasticity have shown compelling evidence for extensive and rapid experience-induced brain plasticity in vivo. To date, most of these studies have consisted of simply detecting a difference in structural or functional images with little concern for their lack of biological specificity. Recent reviews and public debates have stressed the need for advanced imaging techniques to gain a better understanding of the nature of these differences - characterizing their extent in time and space, their underlying biological and network dynamics. The purpose of this article is to give an overview of advanced imaging techniques for an audience of cognitive neuroscientists that can assist them in the design and interpretation of future MRI studies of neuroplasticity. The review encompasses MRI methods that probe the morphology, microstructure, function, and connectivity of the brain with improved specificity. We underline the possible physiological underpinnings of these techniques and their recent applications within the framework of learning- and experience-induced plasticity in healthy adults. Finally, we discuss the advantages of a multi-modal approach to gain a more nuanced and comprehensive description of the process of learning.

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Language(s): eng - English
 Dates: 2015-08-202015-08-282016-05-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2015.08.047
PMID: 26318050
Other: Epub 2015
 Degree: -

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Title: NeuroImage
Source Genre: Journal
 Creator(s):
Affiliations:
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Pages: - Volume / Issue: 131 Sequence Number: - Start / End Page: 55 - 72 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166