Bevington, C

Williams, R Jayde

Pike, B

Mckenzie, J

Zhang, J

Luh, W

Stoessl, A J

Sossi, V

2022-09

<p><b>Objective:</b> To identity the effect of exercise on brain metabolism and energetics in PD using PET/MR imaging.</p> <p><b>Background:</b> Aerobic exercise slows PD progression as reflected clinically [1]. Mitochondrial dysfunction may play a role in the onset and progression of PD, and aerobic exercise may positively modulate mitochondrial dynamics [2]. PET/MR imaging can be used to obtain simultaneously cerebral metabolic rates of oxygen (CMRO₂) and glucose (CMR_glu); estimates of mitochondrial function can be inferred through the oxygen-to-glucose ratio.</p> <p><b>Method:</b> An ongoing study is performing dual-calibrated BOLD MRI and FDG PET imaging to obtain CMRO₂ and CMR_glu in PD habitual exercisers (PD-HE, n=4) and PD non-exercisers (PD-NE) before (n=6) and after (n=4) six-month stationary cycling. Constrained principal component analysis (CPCA) [3] is used to identify disease- and exercise-related spatial patterns of regional CMRO₂ and CMR_glu. CPCA first regresses Z, the spatially-normalized imaging measures for each subject, onto clinical variables, X, related to disease (disease duration (DD), UPDRS-III) and aerobic fitness (VO2 max), i.e. Z ≈ XC, where C are the regression coefficients. Standard PCA is then run on XC to obtain spatial patterns rank-ordered by their explanation of the variance-of-interest contained in XC.</p> <p><b>Results:</b> Subject scores of the first CMR_glu CPCA pattern are significantly higher in the PD-NE pre-intervention compared to PD-HE (p<0.01, [figure 1]) and PD-NE post intervention (p<0.05). No significant difference was found between PD-HE and PD-NE after intervention. This pattern has significant overlap with the PD disease-related and PD cognition-related [4] patterns ([figure 2], PDRP: ρ=0.57; PDCP: ρ=0.51), known to correlate with disease severity. Subject scores correlate positively with DD (R²=0.36, p<0.05), negatively with VO2 max (R²=0.70, p<0.001), and have no correlation with UPDRS-III, indicating most of the CPCA pattern variance is governed by exercise-induced changes. A similar initial CMRO₂ analysis did not yield group differences.</p> <p><b>Conclusion:</b> A pattern of glucose metabolism positively related to DD and negatively related to aerobic fitness was found. Group differences of pattern expression between a small cohort of PD non-exercisers before and after aerobic exercise suggests causality between exercise and disease progression. More subjects will be added as they complete the intervention. Joint CMR_glu and CMRO₂ pattern analysis will follow.</p>

2022 International Congress

https://hdl.handle.net/1959.11/64390

International Parkinson and Movement Disorder Society

Effect of exercise on brain metabolism and energetics in PD

Conference Publication

Publication