Aerobic Training Effects on Motor and Cognitive Performances in MS: an Exploratory Study With Structural and Functional MRI
What it found
A paper reports the results; we have not read it yet. See Papers below.
What was tested
Treatment tested
- Aerobic training compared to conventional motor training
What it measured
Main measures
Longitudinal changes of brain GM volumes following aerobic training or conventional motor training
2 months
MRI lesionsPhysical functionLongitudinal changes of WM microstructural abnormalities following aerobic training or conventional motor training
2 months
MRI lesionsPhysical functionResting State Functional Connectivity MRI changes following aerobic training or conventional motor training
2 months
MRI lesionsPhysical functionNerve conduction testsFunctional MRI changes following aerobic training or conventional motor training
2 months
MRI lesionsThinking and memoryPhysical functionEffects of aerobic training compared to conventional motor training on global clinical disability
2 months
Disability progressionPhysical functionEffects of aerobic training compared to conventional motor training on clinical disability
2 months
Disability progressionThinking and memoryWalking and mobilityArm and hand functionPhysical functionEffects of aerobic training compared to conventional motor training on behavioural measures
2 months
Physical functionEffects of aerobic training compared to conventional motor training on spasticity
2 months
Physical functionSpasticityEffects of aerobic training compared to conventional motor training on walking ability
2 months
Walking and mobilityPhysical functionEffects of aerobic training compared to conventional motor training on person's mobility
2 months
Walking and mobilityPhysical function
Other measures (4)
Effects of aerobic training compared to conventional motor training on cognitive functions
2 months
Thinking and memoryPhysical functionEffects of aerobic training compared to conventional motor training on fatigue
2 months
Thinking and memoryFatiguePhysical functionEffects of aerobic training compared to conventional motor training on depression
2 months
Thinking and memoryFatiguePhysical functionMood and sleepEffects of aerobic training compared to conventional motor training on quality of life
2 months
Physical functionQuality of life (reported by participants)
Who could take part
MS (type not specified) · 18 to 65
Inclusion criteria (All) * Age between 18 and 65 years; * Native italian language speaking; * Right-handed; * No particular motor skills; * No additional neurologic, psychiatric, orthopaedic or rheumatologic diseases; * Normal or corrected-to-normal vision; * No contraindications to MRI; * Ability to understand the purpose of the study and provide signed informed consent. For MS patients, the following additional inclusion criteria will be applied: * Patients with a diagnosis of MS, regardless of sex, duration and course of the disease; * EDSS score ranging from 0 to 6.0 (included); * Stable treatment for MS from at least 1 month prior to study enrolment; * Relapse- and steroid-free from at least 3 months before screening visit; * An indication to perform a physiotherapy treatment by the treating physician. Exclusion Criteria: * Persons who perform regularly a structured training; * Patients who performed a physiotherapy treatment for at least 3 months; * Concomitant therapy with antidepressant, baclofen, psychoactive, and steroids drugs as well as symptomatic treatment for fatigue; * History of alcohol or substance abuse; * Pregnancy or breastfeeding.
As registered. Criteria can change, so ask the trial team or your neurologist.
About this trial
In the sponsor's words
Aerobic training (AT) induces cardiovascular, metabolic and muscular changes and has been proposed as a promising rehabilitative approach in elderly adults and in neurological patients to improve both motor and cognitive performances. The Investigators wish to explore the role of AT in multiple sclerosis (MS) patients on physical and neuropsychological functions and its underlying anatomical and functional substrates, using advanced magnetic resonance imaging (MRI) methods. In this project, the Investigators wish to apply aerobic training in right-handed MS patients and healthy controls to assess: 1. the effects of aerobic training compared to conventional motor training on motor and cardio-vascular parameters; 2. the effect of aerobic training compared to conventional motor training on cognitive performance, depression and fatigue; 3. the modifications of functional activations during a cognitive task and of functional connectivity in motor and cognitive networks during resting state following aerobic training and conventional motor training (functional plasticity); 4. the regional variations of gray matter (GM) volumes and white matter (WM) architecture after aerobic training and conventional motor training (structural plasticity); 5. the correlations between the changes detected with structural and functional MRI and clinical, motor and neuropsychological scales.
Papers
Results
Contribution of structural and functional MRI in predicting response to motor training in multiple sclerosis.Mult Scler · 2026
Background
Motl RW, Pilutti LA. The benefits of exercise training in multiple sclerosis. Nat Rev Neurol. 2012 Sep;8(9):487-97. doi: 10.1038/nrneurol.2012.136. Epub 2012 Jul 24.Background
Prakash RS, Snook EM, Motl RW, Kramer AF. Aerobic fitness is associated with gray matter volume and white matter integrity in multiple sclerosis. Brain Res. 2010 Jun 23;1341:41-51. doi: 10.1016/j.brainres.2009.06.063. Epub 2009 Jun 25.Background
Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage. 2007 Oct 15;38(1):95-113. doi: 10.1016/j.neuroimage.2007.07.007. Epub 2007 Jul 18.Background
Leow AD, Klunder AD, Jack CR Jr, Toga AW, Dale AM, Bernstein MA, Britson PJ, Gunter JL, Ward CP, Whitwell JL, Borowski BJ, Fleisher AS, Fox NC, Harvey D, Kornak J, Schuff N, Studholme C, Alexander GE, Weiner MW, Thompson PM; ADNI Preparatory Phase Study. Longitudinal stability of MRI for mapping brain change using tensor-based morphometry. Neuroimage. 2006 Jun;31(2):627-40. doi: 10.1016/j.neuroimaBackground
Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM, Behrens TE. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. 2006 Jul 15;31(4):1487-505. doi: 10.1016/j.neuroimage.2006.02.024. Epub 2006 Apr 19.Background
Calhoun VD, Adali T, Pearlson GD, Pekar JJ. A method for making group inferences from functional MRI data using independent component analysis. Hum Brain Mapp. 2001 Nov;14(3):140-51. doi: 10.1002/hbm.1048.Background
Nichols TE, Holmes AP. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp. 2002 Jan;15(1):1-25. doi: 10.1002/hbm.1058.Background
Hayasaka S, Peiffer AM, Hugenschmidt CE, Laurienti PJ. Power and sample size calculation for neuroimaging studies by non-central random field theory. Neuroimage. 2007 Sep 1;37(3):721-30. doi: 10.1016/j.neuroimage.2007.06.009. Epub 2007 Jun 18.Background
Friston KJ, Holmes AP, Price CJ, Buchel C, Worsley KJ. Multisubject fMRI studies and conjunction analyses. Neuroimage. 1999 Oct;10(4):385-96. doi: 10.1006/nimg.1999.0484.
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History
Started
Jun 2015
Main results due
Dec 2024
Finished
Dec 2024
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