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  Computational anatomy for studying use-dependant brain plasticity

Draganski, B., Kherif, F., & Lutti, A. (2014). Computational anatomy for studying use-dependant brain plasticity. Frontiers in Human Neuroscience, 8: 380. doi:10.3389/fnhum.2014.00380.

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Draganski_ComputationalAnatomy.pdf (Verlagsversion), 450KB
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© 2014 Draganski, Kherif and Lutti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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 Urheber:
Draganski, Bogdan1, 2, Autor           
Kherif, Ferath1, Autor
Lutti, Antoine1, Autor
Affiliations:
1Département des Neurosciences Cliniques, Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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Schlagwörter: Magnetic resonance imaging; Computational anatomy; Brain plasticity
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2013-10-262014-05-142014-06-27
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.3389/fnhum.2014.00380
PMID: 25018716
PMC: PMC4072968
Anderer: eCollection 2014
 Art des Abschluß: -

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Titel: Frontiers in Human Neuroscience
  Kurztitel : Front Hum Neurosci
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Lausanne, Switzerland : Frontiers Research Foundation
Seiten: - Band / Heft: 8 Artikelnummer: 380 Start- / Endseite: - Identifikator: ISSN: 1662-5161
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5161