Open Access
20 December 2017 Noninvasive optical imaging of resistance training adaptations in human muscle
Author Affiliations +
Abstract
A quantitative and dynamic analysis of skeletal muscle structure and function can guide training protocols and optimize interventions for rehabilitation and disease. While technologies exist to measure body composition, techniques are still needed for quantitative, long-term functional imaging of muscle at the bedside. We evaluate whether diffuse optical spectroscopic imaging (DOSI) can be used for long-term assessment of resistance training (RT). DOSI measures of tissue composition were obtained from 12 adults before and after 5 weeks of training and compared to lean mass fraction (LMF) from dual-energy X-ray absorptiometry (DXA). Significant correlations were detected between DXA LMF and DOSI-measured oxy-hemo/myoglobin, deoxy-hemo/myoglobin, total-hemo/myoglobin, water, and lipid. RT-induced increases of ∼6% in oxy-hemo/myoglobin (3.4±1.0  μM, p=0.00314) and total-hemo/myoglobin (4.9±1.1  μM, p=0.00024) from the medial gastrocnemius were detected with DOSI and accompanied by ∼2% increases in lean soft tissue mass (36.4±12.4  g, p=0.01641) and ∼60% increases in 1 rep-max strength (41.5±6.2  kg, p = 1.9E-05). DOSI measures of vascular and/or muscle changes combined with correlations between DOSI and DXA suggest that quantitative diffuse optical methods can be used to evaluate body composition, provide feedback on long-term interventions, and generate new insight into training-induced muscle adaptations.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Robert V. Warren, Joshua Cotter, Goutham Ganesan, Lisa Ngoc Le, Janelle P. Agustin, Bridgette Duarte, Kyle B. Cutler, Thomas D. O'Sullivan, and Bruce J. Tromberg "Noninvasive optical imaging of resistance training adaptations in human muscle," Journal of Biomedical Optics 22(12), 121611 (20 December 2017). https://doi.org/10.1117/1.JBO.22.12.121611
Received: 24 August 2017; Accepted: 4 December 2017; Published: 20 December 2017
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Dual energy x-ray absorptiometry

Tissues

Near infrared spectroscopy

Optical imaging

Resistance

Tissue optics

Spectroscopy

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