Wavelet and time-based cerebral autoregulation analysis using diffuse correlation spectroscopy on adults undergoing...

Area of Science:

• Neuroscience
• Biomedical Engineering
• Critical Care Medicine

Background:

• Extracorporeal membrane oxygenation (ECMO) is vital for acute cardiac/pulmonary failure but carries risks of neurological injury.
• Cerebral autoregulation (CA) maintains brain perfusion; its dysfunction indicates acute brain injury.
• Noninvasive monitoring of CA is crucial in ECMO patients due to anticoagulation risks with invasive methods.

Purpose of the Study:

• To compare diffuse correlation spectroscopy (DCS)-based markers of CA in veno-arterial ECMO patients with and without acute brain injury.
• To evaluate the utility of DCS for noninvasive CA monitoring in critically ill ECMO patients.

Main Methods:

• Prospective enrollment of adult ECMO patients at a tertiary hospital.
• Continuous, noninvasive monitoring of cerebral blood flow using DCS and arterial blood pressure.
• Calculation of CA indices, including wavelet coherence analysis (WCA) and Pearson correlation (DCSx), over 20-minute intervals.
• Identification of neurological injuries via brain CT scans.

Main Results:

• Wavelet coherence analysis (WCA) indices (WCOH) were significantly higher in patients with neurological injuries compared to those without (p=0.041 for both hemispheres).
• %DCSx, a measure of sustained high correlation, did not show significant differences between groups (p=0.268 right, p=0.073 left).

Conclusions:

• Diffuse correlation spectroscopy (DCS) effectively detects differences in cerebral autoregulation (CA) between ECMO patients with and without neurological injuries.
• Wavelet coherence analysis (WCA) using DCS shows promise for monitoring brain health in ECMO patients.
• Noninvasive CA monitoring with DCS offers a valuable tool for managing neurological complications in critical care settings.