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This study is a unique blend of new technologies never used in combination with individuals diagnosed with Multiple Sclerosis (MS). The results of this research will define changes in brain activity, functional brain activation and diffusion in the brain following 6 months of structured weight resistance and balance training. Positive changes would indicate that the therapy has ignited brain plasticity and may drive the brain to repair itself. These changes to the brain may affect recovery as a result of neuroplasticity, neuroprotection, and slowing of neural degeneration. No other trials have been published evaluating brain plasticity utilizing diffusion tensor imaging (DTI) and magnetoencephalography (MEG) in subjects with MS undergoing physical training. DTI has demonstrated the ability to find changes (plasticity) that occur in the brain and using the MEG findings to focus the DTI analysis will optimize the capacity to detect changes secondary to therapy. This quantification will give a better understanding of the repair that goes on in the brain, and may potentially revolutionize the field of the central nervous system (CNS) rehabilitation. One of the most innovative aspects of this study is the full integration of clinical neurobehavioral metrics and functional imaging data in conjunction with a proven MS therapy along with quality of life indicators. This approach will allow new links to be illuminated as the trajectories of functional and structural brain changes (neuroplasticity) are meshed with clinical improvement indices collected visit-by-visit. This study will also compare disease modifying treatments (DMTs) and their effect(s) on indices of brain plasticity and cognitive and behavioral assessments.
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Rationale MEG is a direct measure of ongoing neurophysiological activity and is appropriate because of spatiotemporal resolution of measurements and immunity of the technique to vascular biases that contaminate functional MRI imaging of MS patients.4 MEG will help to illuminate the brain bases of motor deficits that exist relative to healthy controls and show how the improvements observed behaviorally are reflected in the brain activity that underlies those improvements. Since DTI has demonstrated the ability to find changes (plasticity) that occur in the brain in patients, it is very promising that DTI will be able to detect evidence of neuroplasticity in our research population.5 Using the MEG findings to sharpen the DTI analysis, a very powerful combination, will optimize the ability to detect and understand changes.
Objectives Specific Aim 1 - Determine if there are activation differences (see below) in the neural regions serving motor function during basic movements using MEG in a group of MS patients, comparing MS affected portions of the brain versus non-affected.
Specific Aim 2 - Determine the effect of a specific 6 month resistance and balance exercise program on activation in sensorimotor brain areas using MEG, and correlate changes in these neural indices with those of specific movement and balance.
Specific Aim 3 - Determine the effect of a specific 6 month resistance and balance exercise program on brain diffusivity and fractional anisotropy using DTI and correlate changes in these metrics with improvement in strength and balance measures in subjects with MS, comparing MS affected portions of the brain versus non-affected areas..
Specific Aim 4 - Determine whether increased fiber integrity (fractional anisotropy) along the corticospinal tract is reflected in MEG activation metrics of the primary motor cortex from baseline to 6 months in subjects with MS enrolled in the three-month resistance and balance exercise program.
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Data sourced from clinicaltrials.gov
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