In Vitro Evaluation of Confounders in Brain Optical Monitoring: A Review.
Karina Awad-Pérez1,2, Maria Roldan2, Panicos A Kyriacou1,2
1Research Centre for Biomedical Engineering, City St George's University of London, London EC1V 0HB, UK.
Sensors (Basel, Switzerland)
|September 27, 2025
Summary
Optical brain monitoring using NIRS, DCS, and PPG is promising but can be inaccurate. Extracerebral layers, skull thickness, and skin pigmentation affect measurements, necessitating improved phantoms for reliable cerebral monitoring.
Area of Science:
- Biomedical Optics
- Neuroscience Instrumentation
- Medical Imaging
Background:
- Non-invasive optical techniques like near-infrared spectroscopy (NIRS), diffuse correlation spectroscopy (DCS), and photoplethysmography (PPG) offer portable, real-time monitoring of cerebral blood flow (CBF), intracranial pressure (ICP), and oxygenation.
- Accuracy of these optical methods can be compromised by confounding factors such as extracerebral tissue layers, skin pigmentation, skull thickness, and brain pathologies.
Purpose of the Study:
- To review in vitro studies using phantoms to assess the impact of confounders on optical brain monitoring techniques.
- To identify limitations in current research and suggest future directions for improving the reliability of non-invasive cerebral monitoring.
Main Methods:
- Systematic literature search for in vitro studies employing phantoms to simulate human head properties.
- Analysis of studies focusing on extracerebral layers, skin pigmentation, skull thickness, and brain pathologies.
Main Results:
- Extracerebral layers and skull thickness were found to influence measurement accuracy.
- Skin pigmentation introduces bias into optical measurements.
- Pathologies like edema and hematomas affect optical signals, but their impact on parameter estimation requires further investigation.
Conclusions:
- Current phantom models and optical devices have limitations affecting comparability.
- Further research is needed, particularly on improved brain phantoms simulating pulsatile signals for photoplethysmography (PPG) systems.
- Addressing confounder impacts is crucial for enhancing the reliability of optical brain monitoring technologies.


