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Depreitere, B.

Publications and source records attributed to Depreitere, B..

2 recordsLinked to original sources

The Role of Smooth Muscle Cell Heterogeneity in Cerebral Autoregulation: A Multi-Scale Physics-Based Modeling Study

Background: Cerebral autoregulation stabilizes cerebral blood flow over a range of cerebral perfusion pressures, but the precise shape of the pressure-flow relationship remains debated. The classical triphasic pressure-flow relationship was recently challenged by experiments demonstrating a quadriphasic response, hypothesized to arise from vessel-size-dependent pressure-diameter responses. We tested this hypothesis and investigated whether these size-dependent responses originate from heterogeneity in smooth muscle cell (SMC) abundance, SMC behavior, or neither. Methods: We developed a computational multi-scale physics-based model of cerebral autoregulation linking SMC activity to vessel-scale diameter regulation and organ-scale blood flow. Four scenarios were evaluated: passive vessels, homogeneous SMC abundance and behavior, heterogeneous SMC abundance, and heterogeneous SMC behavior. Predicted pressure-diameter responses and pressure-flow relationships were compared across scenarios and against experimental observations. Results: In contrast to passive vessels, homogeneous SMC activation produced partial flow stabilization, highlighting the key role of SMCs in autoregulation. However, only heterogeneous SMC behavior reproduced the experimentally observed vessel-size-dependent trends in pressure-diameter responses. This scenario also showed the best agreement with the experimental organ-scale pressure-flow relationship (R-squared = 0.93, nRMSE = 5.96%). Conclusion: The model suggests that vessel-size-dependent SMC behavior underlies vessel-size-dependent pressure-diameter responses and shapes the relationship between cerebral perfusion pressure and cerebral blood flow.

bioengineering↗

Continuous monitoring of cerebrovascular autoregulation using functional ultrasound imaging in the piglet brain.

Continuous real-time assessment of cerebral blood flow (CBF) and cerebrovascular autoregulation (CA) remains a major unmet clinical need in acute brain injury. Methods such as laser Doppler flowmetry (LDF), transcranial Doppler, or indirect indices lack accuracy and robustness. Functional ultrasound (fUS) is an emerging modality combining high spatiotemporal resolution, large field-of-view, and sensitivity to blood velocity and volume, making it a promising neuromonitoring tool. Piglets were equipped with arterial blood pressure (ABP), intracranial pressure (ICP), and LDF probes, plus cranial windows for fUS and red blood cell (RBC) flux imaging. CA was challenged by non-pharmacological ABP manipulation via intraaortic or intracaval balloon inflation. fUS hemodynamic parameters were compared with other modaliters across a CPP range of 10-150 mmHg. fUS provided continuous, stable intensity- and velocity-derived parameters across vessels types. CBF estimates correlated strongly with RBC flux and showed reproducibility comparable to LDF, with lower inter-animal variability. Autoregulation breakpoints were reliably identified by fUS, particularly the lower limit, while the upper limit was more variable. Parcellation confirmed robustness of fUS across brain regions. fUS images CBF and CA with higher stability and reproducibility than standard approaches, supporting its applicability for bedside neuromonitoring and clinical translation.

neuroscience↗