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Non-invasive assessment of muscle fiber conduction velocity during an incremental maximal cycling test
Authors:Paola Sbriccoli  Massimo Sacchetti  Francesco Felici  Leonardo Gizzi  Mauro Lenti  Alessandro Scotto  Giuseppe De Vito
Institution:1. Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA;2. Center for Infection Research in Cancer, Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA;3. Proteomics, Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA;4. Molecular Oncology, Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL 33612, USA;1. Faculty of Civil Engineering, Department of Mathematics, Slovak University of Technology in Bratislava, Radlinského 11, Bratislava, 813 68, Slovakia;2. Faculty of Information Studies, Ljubljanska, 8000 Novo Mesto, Slovenia;3. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koro?ka cesta 46, Maribor 2000, Slovenia;4. Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana 1000, Slovenia;5. FAMNIT, University of Primorska, Koper 6000, Slovenia;1. Department of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan;2. Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan;3. Mitsubishi Chemical Medicine Corporation, 1144 Ohwadashinden, Yachiyo-shi, Chiba 276-0046, Japan;4. Center for Epidemiology & Preventive Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
Abstract:Muscle fiber conduction velocity (MFCV) gives critical information on neuromuscular control and can be considered a size principle parameter, being suggestive of motor unit recruitment strategies. MFCV has been recently measured during constant-load sub-maximal cycling exercise and was found to correlate positively with percentage of type I myosin heavy chain.The aim of this study was to test the hypothesis that MFCV measured during an incremental cycling test using surface electromyography (sEMG), can be sensitive to the different metabolic requests elicited by the exercise. In particular, the relationship between ventilatory threshold (T-vent), VO2max and MFCV was explored.Eleven male physically active subjects (age 30 ± 9 years) undertook a 1-min incremental cycling test to exhaustion. T-vent and VO2max were measured using an open circuit breath by breath gas analyzer. The sEMG was recorded from the vastus lateralis muscle with an adhesive 4-electrodes array, and the MFCV was computed on each sEMG burst over the last 30-s of each step.The mean VO2max obtained during the maximal test was 53.32 ± 2.33 ml kg?1 min?1, and the T-vent was reached at 80.77 ± 3.49% of VO2max. In all subjects reliable measures of MFCV were obtained at every exercise intensity (cross correlation values >0.8). MFCV increased linearly with the mechanical load, reaching a maximum value of 4.28 ± 0.67 m s?1 at an intensity corresponding to the T-vent. Thereafter, MFCV declined until maximal work intensities. This study demonstrates that MFCV can be used as non-invasive tool to infer MUs recruitment/derecruitment strategies even during dynamic exercise from low to maximal intensities.
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