Mathieu Maltais1, Yves Rolland2, Katherine Boisvert-Vigneault3, Lisa Perus4, Jean-François Mangin5, Antoine Grigis5, Marie Chupin5, Ali Bouyahia5, Audrey Gabelle4, Julien Delrieux6, Bruno Vellas2, Philipe de Souto Barreto2. 1. Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 37 allée Jules Guesde, 31000 Toulouse, France. Electronic address: mathieu.maltais@usherbrooke.ca. 2. Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 37 allée Jules Guesde, 31000 Toulouse, France; UPS/INSERM UMR 1027, University of Toulouse III, Toulouse, France Faculté de médecine 37 allées Jules Guesde 31000 Toulouse, France. 3. Faculty of Physical Activity Sciences, University of Sherbrooke, 2500 boul de l'Université, Sherbrooke, QC, Canada. 4. Memory Resources and Research Center, Montpellier University Hospital, 34 295 Montpellier; Inserm U1061;University of Montpellier i-site MUSE, France. 5. CATI multicenter neuroimaging platform, Neurospin, CEA, Paris Saclay University, 91191 Gif sur Yvette, France. 6. Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, 37 allée Jules Guesde, 31000 Toulouse, France.
Abstract
BACKGROUND: Higher levels of physical activity (PA) are known to be associated with better white matter integrity measured by diffusion tensor imaging (DTI) in older adults in cross-sectional studies. However, no studies have investigated the association between PA levels and the evolution of DTI parameters (fractional anisotropy and mean diffusivity). OBJECTIVES: To examine the cross-sectional associations between PA levels and DTI parameters, then to investigate the association between baseline PA levels and the evolution of DTI parameters in older adults. METHODS: Data on magnetic resonance imaging with DTI method from the Multidomain Alzheimer's Preventive Trial (MAPT) study were used; 228 participants had data on DTI measured at three time-points over five years. Fractional anisotropy and mean diffusivity were acquired for six different brain regions. RESULTS: No significant associations were found in the cross-sectional analyses. Only one association was found: compared with active individuals, a faster worsening in the mean diffusivity of the uncinate fasciculus region was found in inactive individuals (-5.0 × 10-6 (-9.5 × 10-5, 4.9 × 10-6)). CONCLUSIONS: In this study, we found that the condition of the uncinate fasciculus region may be susceptible to changes in PA levels in older adults. Longitudinal studies that assess fitness and PA using objective measurements (e.g. cardiorespiratory fitness and accelerometry) could shed some new light on this topic.
BACKGROUND: Higher levels of physical activity (PA) are known to be associated with better white matter integrity measured by diffusion tensor imaging (DTI) in older adults in cross-sectional studies. However, no studies have investigated the association between PA levels and the evolution of DTI parameters (fractional anisotropy and mean diffusivity). OBJECTIVES: To examine the cross-sectional associations between PA levels and DTI parameters, then to investigate the association between baseline PA levels and the evolution of DTI parameters in older adults. METHODS: Data on magnetic resonance imaging with DTI method from the Multidomain Alzheimer's Preventive Trial (MAPT) study were used; 228 participants had data on DTI measured at three time-points over five years. Fractional anisotropy and mean diffusivity were acquired for six different brain regions. RESULTS: No significant associations were found in the cross-sectional analyses. Only one association was found: compared with active individuals, a faster worsening in the mean diffusivity of the uncinate fasciculus region was found in inactive individuals (-5.0 × 10-6 (-9.5 × 10-5, 4.9 × 10-6)). CONCLUSIONS: In this study, we found that the condition of the uncinate fasciculus region may be susceptible to changes in PA levels in older adults. Longitudinal studies that assess fitness and PA using objective measurements (e.g. cardiorespiratory fitness and accelerometry) could shed some new light on this topic.
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