Magnetic resonance spectroscopy as a non-invasive tool for assessing brain and muscle adaptation to exercise training in older age: a scoping review into existing research

Despite limited guidance on methods and biomarkers, this scoping review supports MRS as a promising tool for monitoring exercise-induced metabolic changes in muscle and brain of older adults. However, standardized methodologies and larger number of studies are required to determine which metabolites reliably reflect exercise benefits in aging brain and muscle.

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Publication Details

Journal
Experimental Gerontology
Published
2026-02-25
DOI
https://doi.org/10.1016/j.exger.2026.113082
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Magnetic resonance spectroscopy as a non-invasive tool for assessing brain and muscle adaptation to exercise training in older age: a scoping review into existing research

Michel Francis Audiffren, Martin Krššák, Claudia Voelcker‐Rehage, Ivica Just et al.
Experimental Gerontology
Advanced MRI Techniques and Applications
article

Magnetic resonance spectroscopy as a non-invasive tool for assessing brain and muscle adaptation to exercise training in older age: a scoping review into existing research

Michel Francis Audiffren, Martin Krššák, Claudia Voelcker‐Rehage, Ivica Just, Christina Karatzaferi, Yaël Netz, Wouter A. J. Vints, Radka Klepochová, Maryam Ziaei, Nerijus Masiulis, Ana Filipa Silva, Uwe Himmelreich, Salit Bar Shalom, Oron Levin, Shannon Helsper, Antoine Langeard
article en

Abstract

Despite limited guidance on methods and biomarkers, this scoping review supports MRS as a promising tool for monitoring exercise-induced metabolic changes in muscle and brain of older adults. However, standardized methodologies and larger number of studies are required to determine which metabolites reliably reflect exercise benefits in aging brain and muscle.

Experimental GerontologyVol. 216
Centre National de la Recherche Scientifique (FR), Lithuanian Sports University (LT), University of Thessaly (GR), Inserm (FR), Norwegian University of Science and Technology (NO), University of Münster (DE), Polytechnic Institute of Coimbra (PT), Academic College at Wingate (IL), Centre de Recherches sur la Cognition et l'Apprentissage (FR), Department of Health (TW), Maison des Sciences sociales et des Humanités Ange Guépin (FR), Medical University of Vienna (AT), Université de Caen Normandie (FR), KU Leuven (BE)
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Openalex Percentile: Top 45%
Advanced MRI Techniques and Applications
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