Dynamic cerebral autoregulation is preserved during isometric handgrip and head-down tilt in healthy volunteers.
Maria SkytiotiSigne SøvikMaja ElstadPublished in: Physiological reports (2019)
In healthy humans, cerebral blood flow (CBF) is autoregulated against changes in arterial blood pressure. Spontaneous fluctuations in mean arterial pressure (MAP) and CBF can be used to assess cerebral autoregulation. We hypothesized that dynamic cerebral autoregulation is affected by changes in autonomic activity, MAP, and cardiac output (CO) induced by handgrip (HG), head-down tilt (HDT), and their combination. In thirteen healthy volunteers, we recorded blood velocity by ultrasound in the internal carotid artery (ICA), HR, MAP and CO-estimates from continuous finger blood pressure, and end-tidal CO2 . Instantaneous ICA beat volume (ICABV, mL) and ICA blood flow (ICABF, mL/min) were calculated. Wavelet synchronization index γ (0-1) was calculated for the pairs: MAP-ICABF, CO-ICABF and HR-ICABV in the low (0.05-0.15 Hz; LF) and high (0.15-0.4 Hz; HF) frequency bands. ICABF did not change between experimental states. MAP and CO were increased during HG (+16% and +15%, respectively, P < 0.001) and during HDT + HG (+12% and +23%, respectively, P < 0.001). In the LF interval, median γ for the MAP-ICABF pair (baseline: 0.23 [0.12-0.28]) and the CO-ICABF pair (baseline: 0.22 [0.15-0.28]) did not change with HG, HDT, or their combination. High γ was observed for the HR-ICABV pair at the respiratory frequency, the oscillations in these variables being in inverse phase. The unaltered ICABF and the low synchronization between MAP and ICABF in the LF interval suggest intact dynamic cerebral autoregulation during HG, HDT, and their combination.
Keyphrases
- cerebral blood flow
- blood pressure
- blood flow
- high density
- subarachnoid hemorrhage
- internal carotid artery
- fluorescent probe
- heart rate
- living cells
- magnetic resonance imaging
- aqueous solution
- cerebral ischemia
- brain injury
- insulin resistance
- blood glucose
- optic nerve
- metabolic syndrome
- single molecule
- deep learning
- resistance training
- weight loss