Changes of brain DTI in healthy human subjects after 520 days isolation and confinement on a simulated mission to Mars.


Journal

Life sciences in space research
ISSN: 2214-5532
Titre abrégé: Life Sci Space Res (Amst)
Pays: Netherlands
ID NLM: 101632373

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 25 08 2018
revised: 25 09 2019
accepted: 27 09 2019
entrez: 29 1 2020
pubmed: 29 1 2020
medline: 22 1 2021
Statut: ppublish

Résumé

Long-term confinement is known to be a stressful experience with multiple psycho-physiological effects. In the MARS500 project, a real-time simulation of a space-flight to Mars conducted in a hermetically isolated habitat, effects of long-term confinement could be investigated in a unique manner. The aim of this study was to evaluate effects of long-term-confinement on brain cytoarchitecture. The participants of the MARS500 project underwent 3T-MR imaging including a dedicated DTI-sequence before the isolation, right after ending of confinement and 6 months after the experiment. Voxelwise statistical analysis of the DTI data was carried out using tract-based-spatial statistics, comparing an age-matched control group. At all three sessions, significant lower fractional anisotropy (FA) than in controls was found in the anterior parts of the callosal body of the participants. Furthermore, after ending of confinement a wide-spread FA reduction could be seen in the right hemisphere culminating in the temporo-parietal-junction-zone. All these areas with decreased FA predominantly showed an elevated radial diffusivity and mean diffusivity while axial diffusivity was less correlated. Long-term confinement does have measurable effects on the microstructure of the brain white matter. We assume effects of sensory deprivation to account for the regional FA reductions seen in the right TPJ. The differences in the Corpus callosum were interpreted as due to preliminary conditions, e.g. personality traits or training effects. FA and radial diffusivity were the predominant DTI parameters with significant changes, suggesting underlying processes of myelin plasticity.

Identifiants

pubmed: 31987482
pii: S2214-5524(19)30118-X
doi: 10.1016/j.lssr.2019.09.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

83-90

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Christian Brem (C)

Department of Neuroradiology, Hospital of the University of Munich (LMU), Marchioninistrasse 15, D-81377, Munich, Germany.

Jürgen Lutz (J)

Radiologisches Zentrum München-Pasing, Pippinger Str. 25, D-81245 Munich, Germany.

Christian Vollmar (C)

Department of Neurology, Hospital of the University of Munich (LMU), Marchioninistrasse 15, D-81377, Munich, Germany.

Matthias Feuerecker (M)

Department of Anaesthesiology & Laboratory of Translational Research "Stress and Immunity" at the Department of Anaesthesiology, Hospital of the University of Munich (LMU), Marchioninstraße 15, 81377 München, Munich, Germany.

Claudia Strewe (C)

Department of Anaesthesiology & Laboratory of Translational Research "Stress and Immunity" at the Department of Anaesthesiology, Hospital of the University of Munich (LMU), Marchioninstraße 15, 81377 München, Munich, Germany.

Igor Nichiporuk (I)

Institute for Biomedical Problems, Moscow, Russian Federation.

Galina Vassilieva (G)

Institute for Biomedical Problems, Moscow, Russian Federation.

Gustav Schelling (G)

Department of Anaesthesiology & Laboratory of Translational Research "Stress and Immunity" at the Department of Anaesthesiology, Hospital of the University of Munich (LMU), Marchioninstraße 15, 81377 München, Munich, Germany.

Alexander Choukér (A)

Department of Anaesthesiology & Laboratory of Translational Research "Stress and Immunity" at the Department of Anaesthesiology, Hospital of the University of Munich (LMU), Marchioninstraße 15, 81377 München, Munich, Germany. Electronic address: achouker@med.uni-muenchen.de.

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Classifications MeSH