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European Journal of Applied Physiology

, Volume 118, Issue 5, pp 971–978 | Cite as

Cutaneous neural activity and endothelial involvement in cold-induced vasodilatation

  • Gary J. Hodges
  • Matthew M. Mallette
  • Stephen S. Cheung
Original Article

Abstract

Whether sympathetic withdrawal or endothelial dilators such as nitric oxide (NO) contributes to cold-induced vasodilation (CIVD) events is unclear. We measured blood flow and finger skin temperature (Tfinger) of the index finger in nine participants during hand immersion in a water bath at 35 °C for 30 min, then at 8 °C for 30 min. Data were binned into 10 s averages for the entire 60 min protocol for laser-Doppler flux (LDF) and Tfinger. At baseline, Tfinger was 35.3 ± 0.2 °C and LDF was 227 ± 28 PU. During hand cooling, minimum Tfinger was 10.9 ± 0.4 °C and LDF was 15 ± 4 PU. All participants exhibited at least one CIVD event (Tfinger increase ≥ 1 °C), with a mean peak Tfinger 13.2 ± 0.8 °C and a corresponding peak LDF of 116 ± 34 PU. A Morlet mother wavelet was then used to perform wavelet analysis on the LDF signal, with frequency ranges of 0.005–0.01 Hz (endothelial NO-independent), 0.01–0.02 Hz (endothelial NO-dependent), and 0.02–0.05 Hz (neurogenic). The synchronicity of wavelet fluctuations with rising LDF coincident with CIVD events was then quantified using Auto-regressive Integrated Moving Average time-series analysis. Fluctuations in neural activity were strongly synchronized in real time with increasing LDF (stationary-r2 = 0.73 and Ljung-box statistic > 0.05), while endothelial activities were only moderately synchronized (NO-independent r2 = 0.15, > 0.05; NO dependent r2 = 0.16, > 0.05). We conclude that there is a direct, real-time correlation of LDF responses with neural activity but not endothelial-mediated mechanisms. Importantly, it seems that neural activity is consistently reduced prior to CIVD, suggesting that sympathetic withdrawal directly contributes to CIVD onset.

Keywords

Auto-regressive integrated moving average Time-series analysis Finger blood flow Cold injury Wavelet analysis Sympathetic nervous system 

Abbreviations

ANOVA

Analysis of variance

ARIMA

Auto-regressive integrated moving average

au

Arbitrary units

CIVD

Cold-induced vasodilatation

LDF

Laser-Doppler flux

PU

Perfusion units

Tfinger

Finger temperature

\({\overline {T} _{{\text{sk}}}}\)

Mean skin temperature

Notes

Acknowledgements

We thank the participants for volunteering their time and effort. We thank Desmond G. Stewart, Paul J. Davison, and Steven A.H. Ferguson for assistance with data collection.

Author contributions

GJH conceived the experiments. GJH, MMM, and SSC designed the experiments. GJH collected the data. GJH and MMM reduced and analysed the data. GJH, MMM, and SSC interpreted the data. GJH drafted the manuscript. MMM and SSC revised the manuscript critically for intellectual content. All authors approved the final version of the manuscript.

Funding

The study was funded by a Natural Science and Engineering Research Council—Discovery Grant (SSC, #227912-12), and SSC was supported by a Canada Research Chair.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Environmental Ergonomics Laboratory, Department of KinesiologyBrock UniversitySt. CatharinesCanada

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