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Robust quantification of microvascular transit times via linear dynamical systems using two-photon fluorescence
Lakshminarayan V Chinta1, Liis Lindvere, Bojana Stefanovic
1Imaging Research, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Summary
We developed a new model to measure blood flow in the brain. This method accurately quantifies microvascular transit time, showing faster flow during stimulation.
Area of Science:
- Physiology
- Neuroscience
- Biomedical Engineering
Background:
- Microcirculatory health is crucial for overall health.
- Assessing microvascular function is vital for understanding physiological responses.
- Current methods for analyzing microvascular blood flow have limitations.
Purpose of the Study:
- To introduce a robust second-order-plus-dead-time (SOPDT) model for analyzing microvascular kinetics.
- To quantify key parameters of microvascular bolus passage using two-photon fluorescence microscopy (2PFM).
- To compare the SOPDT model's performance against conventional methods.
Main Methods:
- Utilized two-photon fluorescence microscopy (2PFM) in anesthetized rats.
- Applied somatosensory stimulation to elicit physiological responses.
- Employed a second-order-plus-dead-time (SOPDT) model for kinetic parameter estimation.
- Compared SOPDT modeling with traditional gamma-variate modeling.
Main Results:
- The SOPDT model accurately quantified transit time, time-to-peak, overshoot, and bolus passage rate.
- Overall transit time during stimulation (2.2 ± 0.1 s) was significantly shorter than at rest (2.7 ± 0.2 s).
- SOPDT modeling demonstrated a superior quality of fit compared to gamma-variate modeling at rest and during activation.
Conclusions:
- The SOPDT model provides a robust and accurate method for assessing microvascular function.
- Somatosensory stimulation leads to a significant reduction in vascular transit time.
- This advanced modeling technique enhances the analysis of microcirculatory dynamics.
