The INfoMATAS project: Methods for assessing cerebral autoregulation in stroke

Area of Science:

• Neuroscience
• Physiology
• Medical Engineering

Background:

• Cerebral autoregulation maintains stable brain blood flow despite blood pressure fluctuations.
• Impaired cerebral autoregulation is associated with serious neurological conditions such as stroke and head trauma.
• Current methods for assessing cerebral autoregulation in patients lack a universally accepted gold standard.

Purpose of the Study:

• To review fundamental concepts of cerebral autoregulation.
• To outline experimental protocols and signal analysis techniques for assessing cerebral autoregulation.
• To discuss various data analysis methods, from basic correlation to advanced non-linear approaches.

Main Methods:

• Discussion of measurement techniques for cerebral blood flow and blood pressure.
• Outline of essential signal pre-processing steps for physiological data.
• Exploration of diverse data analysis methods including correlation-based (Mx), Transfer Function Analysis, and advanced non-linear, multivariate, and time-variant techniques.

Main Results:

• The review provides a foundational understanding of cerebral autoregulation principles.
• It details various signal processing and data analysis methodologies for extracting autoregulation indices.
• Different analytical approaches are linked through their underlying principles and rationale.

Conclusions:

• Accurate assessment of cerebral autoregulation is critical for managing neurological disorders.
• The review highlights the spectrum of available analytical methods, aiding researchers in selecting appropriate techniques.
• Further research is needed to establish definitive methods and address existing challenges in cerebral autoregulation assessment.