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Relative contributions of sympathetic, cholinergic, and myogenic mechanisms to cerebral autoregulation.

ABSTRACT: Prior work aimed at improving our understanding of human cerebral autoregulation has explored individual physiological mechanisms of autoregulation in isolation, but none has attempted to consolidate the individual roles of these mechanisms into a comprehensive model of the overall cerebral pressure-flow relationship.We retrospectively analyzed this relationship before and after pharmacological blockade of ?-adrenergic-, muscarinic-, and calcium channel-mediated mechanisms in 43 healthy volunteers to determine the relative contributions of the sympathetic, cholinergic, and myogenic controllers to cerebral autoregulation. Projection pursuit regression was used to assess the effect of pharmacological blockade on the cerebral pressure-flow relationship. Subsequently, ANCOVA decomposition was used to determine the cumulative effect of these 3 mechanisms on cerebral autoregulation and whether they can fully explain it.Sympathetic, cholinergic, and myogenic mechanisms together accounted for 62% of the cerebral pressure-flow relationship (P<0.05), with significant and distinct contributions from each of the 3 effectors. ANCOVA decomposition demonstrated that myogenic effectors were the largest determinant of the cerebral pressure-flow relationship, but their effect was outside of the autoregulatory region where neurogenic control appeared prepotent.Our results suggest that myogenic effects occur outside the active region of autoregulation, whereas neurogenic influences are largely responsible for cerebral blood flow control within it. However, our model of cerebral autoregulation left 38% of the cerebral pressure-flow relationship unexplained, suggesting that there are other physiological mechanisms that contribute to cerebral autoregulation.

SUBMITTER: Hamner JW

PROVIDER: S-EPMC4102642 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature

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Relative contributions of sympathetic, cholinergic, and myogenic mechanisms to cerebral autoregulation.

Hamner J W JW Tan Can Ozan CO

Stroke 20140410 6

<h4>Background and purpose</h4>Prior work aimed at improving our understanding of human cerebral autoregulation has explored individual physiological mechanisms of autoregulation in isolation, but none has attempted to consolidate the individual roles of these mechanisms into a comprehensive model of the overall cerebral pressure-flow relationship.<h4>Methods</h4>We retrospectively analyzed this relationship before and after pharmacological blockade of α-adrenergic-, muscarinic-, and calcium cha ...[more]

PMID: 24723314

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Project description:Objective: Cerebral autoregulation limits the variability of cerebral blood flow (CBF) in the presence of systemic arterial blood pressure (ABP) changes. Monitoring cerebral autoregulation is important in the Neurocritical Care Unit (NCCU) to assess cerebral health. Here, our goal is to identify optimal frequency-domain near-infrared spectroscopy (FD-NIRS) parameters and apply a hemodynamic model of coherent hemodynamics spectroscopy (CHS) to assess cerebral autoregulation in healthy adult subjects and NCCU patients. Methods: In five healthy subjects and three NCCU patients, ABP oscillations at a frequency around 0.065 Hz were induced by cyclic inflation-deflation of pneumatic thigh cuffs. Transfer function analysis based on wavelet transform was performed to measure dynamic relationships between ABP and oscillations in oxy- (O), deoxy- (D), and total- (T) hemoglobin concentrations measured with different FD-NIRS methods. In healthy subjects, we also obtained the dynamic CBF-ABP relationship by using FD-NIRS measurements and the CHS model. In healthy subjects, an interval of hypercapnia was performed to induce cerebral autoregulation impairment. In NCCU patients, the optical measurements of autoregulation were linked to individual clinical diagnoses. Results: In healthy subjects, hypercapnia leads to a more negative phase difference of both O and D oscillations vs. ABP oscillations, which are consistent across different FD-NIRS methods and are highly correlated with a more negative phase difference CBF vs. ABP. In the NCCU, a less negative phase difference of D vs. ABP was observed in one patient as compared to two others, indicating a better autoregulation in that patient. Conclusions: Non-invasive optical measurements of induced phase difference between D and ABP show the strongest sensitivity to cerebral autoregulation. The results from healthy subjects also show that the CHS model, in combination with FD-NIRS, can be applied to measure the CBF-ABP dynamics for a better direct measurement of cerebral autoregulation.

Dataset Information

Relative contributions of sympathetic, cholinergic, and myogenic mechanisms to cerebral autoregulation.

Publications

Relative contributions of sympathetic, cholinergic, and myogenic mechanisms to cerebral autoregulation.

Similar Datasets

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