Dynamic DTI (dDTI) shows differing temporal activation patterns in post-exercise skeletal muscles.

MAGMA

McMaster School of Biomedical Engineering, McMaster University, ETB-406 1280 Main St. West, Hamilton, ON, L8S 4K1, Canada.

Published: April 2017

Object: To assess post-exercise recovery of human calf muscles using dynamic diffusion tensor imaging (dDTI).

Materials And Methods: DTI data (6 directions, b = 0 and 400 s/mm) were acquired every 35 s from seven healthy men using a 3T MRI, prior to (4 volumes) and immediately following exercise (13 volumes, ~7.5 min). Exercise consisted of 5-min in-bore repetitive dorsiflexion-eversion foot motion with 0.78 kg resistance. Diffusion tensors calculated at each time point produced maps of mean diffusivity (MD), fractional anisotropy (FA), radial diffusivity (RD), and signal at b = 0 s/mm (S). Region-of-interest (ROI) analysis was performed on five calf muscles: tibialis anterior (ATIB), extensor digitorum longus (EDL) peroneus longus (PER), soleus (SOL), and lateral gastrocnemius (LG).

Results: Active muscles (ATIB, EDL, PER) showed significantly elevated initial MD post-exercise, while predicted inactive muscles (SOL, LG) did not (p < 0.0001). The EDL showed a greater initial increase in MD (1.90 × 10mm/s) than ATIB (1.03 × 10mm/s) or PER (8.79 × 10 mm/s) (p = 7.40 × 10), and remained significantly elevated across more time points than ATIB or PER. Significant increases were observed in post-exercise EDL S relative to other muscles across the majority of time points (p < 0.01 to p < 0.001).

Conclusions: dDTI can be used to differentiate exercise-induced changes between muscles. These differences are suggested to be related to differences in fiber composition.

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Source
http://dx.doi.org/10.1007/s10334-016-0587-7DOI Listing

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