Koga Shunsaku, Barstow Thomas J, Okushima Dai, Rossiter Harry B, Kondo Narihiko, Ohmae Etsuko, Poole David C
Applied Physiology Laboratory, Kobe Design University, Kobe, Japan;
Departments of Anatomy and Physiology and Kinesiology, Kansas State University, Manhattan, Kansas;
J Appl Physiol (1985). 2015 Jun 1;118(11):1435-42. doi: 10.1152/japplphysiol.01003.2014. Epub 2015 Apr 2.
Near-infrared assessment of skeletal muscle is restricted to superficial tissues due to power limitations of spectroscopic systems. We reasoned that understanding of muscle deoxygenation may be improved by simultaneously interrogating deeper tissues. To achieve this, we modified a high-power (∼8 mW), time-resolved, near-infrared spectroscopy system to increase depth penetration. Precision was first validated using a homogenous optical phantom over a range of inter-optode spacings (OS). Coefficients of variation from 10 measurements were minimal (0.5-1.9%) for absorption (μa), reduced scattering, simulated total hemoglobin, and simulated O2 saturation. Second, a dual-layer phantom was constructed to assess depth sensitivity, and the thickness of the superficial layer was varied. With a superficial layer thickness of 1, 2, 3, and 4 cm (μa = 0.149 cm(-1)), the proportional contribution of the deep layer (μa = 0.250 cm(-1)) to total μa was 80.1, 26.9, 3.7, and 0.0%, respectively (at 6-cm OS), validating penetration to ∼3 cm. Implementation of an additional superficial phantom to simulate adipose tissue further reduced depth sensitivity. Finally, superficial and deep muscle spectroscopy was performed in six participants during heavy-intensity cycle exercise. Compared with the superficial rectus femoris, peak deoxygenation of the deep rectus femoris (including the superficial intermedius in some) was not significantly different (deoxyhemoglobin and deoxymyoglobin concentration: 81.3 ± 20.8 vs. 78.3 ± 13.6 μM, P > 0.05), but deoxygenation kinetics were significantly slower (mean response time: 37 ± 10 vs. 65 ± 9 s, P ≤ 0.05). These data validate a high-power, time-resolved, near-infrared spectroscopy system with large OS for measuring the deoxygenation of deep tissues and reveal temporal and spatial disparities in muscle deoxygenation responses to exercise.
由于光谱系统的功率限制,骨骼肌的近红外评估仅限于浅表组织。我们推断,通过同时探测更深层的组织,可能会更好地理解肌肉脱氧情况。为实现这一点,我们对一个高功率(约8 mW)、时间分辨近红外光谱系统进行了改进,以增加深度穿透。首先,使用均匀光学模型在一系列光极间距(OS)范围内验证了精度。对于吸收系数(μa)、约化散射、模拟总血红蛋白和模拟氧饱和度,10次测量的变异系数最小(0.5 - 1.9%)。其次,构建了一个双层模型来评估深度敏感性,并改变表层的厚度。当表层厚度为1、2、3和4 cm(μa = 0.149 cm⁻¹)时,深层(μa = 0.250 cm⁻¹)对总μa的比例贡献分别为80.1%、26.9%、3.7%和0.0%(在6 cm OS时),验证了穿透深度约为3cm。增加一个模拟脂肪组织的浅表模型进一步降低了深度敏感性。最后,在六名参与者进行高强度循环运动期间进行了浅表和深层肌肉光谱分析。与浅表股直肌相比,深层股直肌(在某些情况下包括浅表中间肌)的峰值脱氧情况无显著差异(脱氧血红蛋白和脱氧肌红蛋白浓度:81.3 ± 20.8 vs. 78.3 ± 13.6 μM,P > 0.05),但脱氧动力学明显较慢(平均响应时间:37 ± 10 vs. 65 ± 9 s,P ≤ 0.05)。这些数据验证了一种用于测量深层组织脱氧情况的具有大光极间距的高功率、时间分辨近红外光谱系统,并揭示了肌肉对运动的脱氧反应在时间和空间上的差异。