Activation of cardiac parasympathetic and sympathetic activity occurs at different skin temperatures during face cooling.
Felipe Gorini PereiraMuhamed McBrydeMorgan ReynoldsJames R SackettChristopher L ChapmanElizabeth A GideonZachary J SchladerBlair D JohnsonPublished in: American journal of physiology. Regulatory, integrative and comparative physiology (2024)
Sufficiently cold-water temperatures (<7°C) are needed to elicit the sympathetic response to the cold pressor test using the hand. However, it is not known if stimulating the trigeminal nerve via face cooling, which increases both sympathetic and cardiac parasympathetic activity, also has a threshold temperature. We tested the hypothesis that peak autonomic activation during a progressive face cooling challenge would be achieved when the stimulus temperature is ≤7°C. Twelve healthy participants (age: 25 ± 3 yr, four women) completed our study. Six pliable bags, each containing water or an ice slurry (34°C, 28°C, 21°C, 14°C, 7°C, and 0°C) were applied sequentially to participants' forehead, eyes, and cheeks for 5 min each. Mean arterial pressure (photoplethysmography; index of sympathetic activity) and heart rhythm (3-lead ECG) were averaged in 1-min increments at the end of baseline and throughout each temperature condition. Heart rate variability in the time [(root mean square of successive differences (RMSSD)] and frequency [high-frequency (HF) power] domains was used to estimate cardiac parasympathetic activity. Data are presented as the increase from baseline ± SD. Mean arterial pressure only increased from baseline in the 7°C (13.1 ± 10.3 mmHg; P = 0.018) and 0°C (25.2 ± 7.8 mmHg; P < 0.001) conditions. Only the 0°C condition increased RMSSD (160.6 ± 208.9 ms; P = 0.009) and HF power (11,450 ± 14,555 ms 2 ; P = 0.014) from baseline. Our data indicate that peak increases in sympathetic activity during face cooling are initiated at a higher forehead skin temperature than peak increases in cardiac parasympathetic activity.
Keyphrases
- heart rate variability
- heart rate
- high frequency
- left ventricular
- multiple sclerosis
- type diabetes
- heart failure
- machine learning
- atrial fibrillation
- electronic health record
- pregnant women
- spinal cord injury
- neuropathic pain
- artificial intelligence
- transcranial magnetic stimulation
- optical coherence tomography
- polycystic ovary syndrome
- wound healing
- data analysis
- soft tissue