Systemic low-frequency oscillations observed in the periphery of healthy human subjects

• Published in: Journal of biomedical optics Vol. 23; no. 5; p. 057001
• Main Authors: Li, Yingwei, Zhang, Haibing, Yu, Meiling, Yu, Weiwei, Frederick, Blaise deB, Tong, Yunjie
• Format: Journal Article
• Language: English
• Published: United States Society of Photo-Optical Instrumentation Engineers 01.05.2018
• Subjects: Sensing; near-infrared spectroscopy; resting state; peripheral artery disease; peripheries; systemic low-frequency oscillations; paced breathing; passive leg raising
• ISSN: 1083-3668; 1560-2281
• DOI: 10.1117/1.JBO.23.5.057001

This study investigated the relationships of systemic low-frequency oscillations (sLFOs) measured at different peripheral sites in resting state, during passive leg raising (PLR), and during a paced breathing (PB) test. Twenty-five healthy subjects (21 to 57 years old; males: 13 and females: 12) were recruited for these experiments. During the experiments, the fluctuations of oxyhemoglobin concentration were measured at six peripheral sites (left and right toes, fingertips, and earlobes) using a multichannel near-infrared spectroscopy instrument developed by our group. We applied cross-correlation and frequency component analyses on the data. The results showed that the sLFO signals in the symmetric peripheral sites were highly correlated, with time delays close to zero, whereas the correlation coefficients decreased between the sLFO signals of asymmetric sites, with delays up to several seconds. Furthermore, in PLR/PB tests, we found that PB caused wider and more robust changes in hemoglobin concentrations at peripheral sites compared to PLR. Among six peripheral sites, earlobes were the most sensitive to these perturbations, followed by fingertips, and then toes. Lastly, we showed that the perturbation signals may have different coupling mechanisms than the sLFO signals. The study deepened our understanding of the sLFO signals and establishes baseline measures for developing perfusion biomarkers to assess peripheral vascular integrity.