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DOI 10.3389/fneur.2021.653167

Медицинская библиотека · Frontiers in neurology · 2021

Differentiating Dynamic Cerebral Autoregulation Across Vascular Territories.

Reehal Navpreet, Cummings Stephanie, Mullen Michael T, Baker Wesley B, Kung David, Tackett William, Favilla Christopher G

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Аннотация

Objective

Transcranial Doppler is commonly used to calculate cerebral autoregulation, but measurements are typically restricted to a single cerebral artery. In exploring topographic heterogeneity, this study reports the first thorough comparison of autoregulation in all major cerebral vessels.

Methods

In forty healthy adults, flow velocity was monitored in the anterior, middle, and posterior cerebral arteries, and synchronized with arterial blood pressure. A transfer function analysis provided characteristics of autoregulation by quantifying the relationship between blood pressure and cerebral blood flow velocity.

Results

Phase, which quantifies the time course of autoregulation, was similar in all vessels. Gain, which quantifies the magnitude of hemodynamic regulation, was lower in posterior cerebral artery, indicative of tighter regulation. However, after adjusting for baseline flow differences in each vascular territory, normalized gain was similar in all vessels.

Conclusions

Discriminating dynamic cerebral autoregulation between cerebrovascular territories is feasible with a transcranial doppler based approach. In the posterior cerebral artery of healthy volunteers, absolute flow is more tightly regulated, but relative flow regulation is consistent across cerebrovascular territories. Significance: The methodology can be applied to focal disease states such as stroke or posterior reversible encephalopathy syndrome, in which the topographic distribution of autoregulation may be particularly critical.

Для цитирования: Reehal Navpreet, Cummings Stephanie, Mullen Michael T, Baker Wesley B, Kung David, Tackett William, Favilla Christopher G. Differentiating Dynamic Cerebral Autoregulation Across Vascular Territories.. Frontiers in neurology. 2021. DOI: 10.3389/fneur.2021.653167.
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