Measures and Models of Brain-Heart Interactions

Area of Science:

• Neuroscience
• Biomedical Engineering
• Physiology

Background:

• Brain-heart interactions are increasingly recognized for their potential in biomarker development.
• Existing research spans affective computing, human-computer interfaces, and sensorimotor evaluation.

Purpose of the Study:

• To review signal processing strategies for measuring and modeling brain-heart interactions.
• To discuss the usability and challenges of current methodologies.

Main Methods:

• Overview of signal processing techniques for brain-heart interaction analysis.
• Estimation of brain responses to heartbeats.
• Modeling of heart-brain connectivity.

Main Results:

• Current methods enhance understanding of physiological disruptions' impact on brain-heart interactions.
• Brain-heart interactions are solidified as valuable biomarkers.
• Potential for disease stratification in neurological and psychiatric disorders.

Conclusions:

• Methodological advancements are needed for future development.
• Further research will illuminate the role of peripheral signals and bodily input on brain function.