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Updated: Feb 8, 2026

Perspectives on Neuroscience
Published on: July 31, 2007
Translational perspectives on brain-heart interplay: From methodologies to clinical applications.
Matteo Saibene1, Ying Gu1, Martin Ballegaard2
1Department of Health Technology, Technical University of Denmark (DTU), Kgs. Lyngby, 2800, Denmark.
Neurocardiology explores the brain-heart connection, crucial for understanding neurological and cardiovascular health. This review details methods for assessing Brain-Heart Interplay (BHI), aiding in diagnosing and treating related disorders.
Area of Science:
- Neuroscience and Cardiology
- Focuses on the complex interplay between the nervous and cardiovascular systems.
Background:
- The nervous and cardiovascular systems are intricately linked in health and disease.
- Alterations in Brain-Heart Interplay (BHI) are implicated in neurological and cardiovascular disorders.
- BHI shows potential as a biomarker for autonomic dysfunction and neurodegenerative diseases.
Purpose of the Study:
- To comprehensively analyze current methods for characterizing BHI.
- To review how BHI changes in various physiological and pathological states.
- To explore data-driven methods for examining complex BHI.
Main Methods:
- Emphasis on non-invasive modalities like Electroencephalogram (EEG), Electrocardiogram (ECG), and Photoplethysmogram (PPG).
- Assessment of linear and non-linear brain-heart relationships.
- Review of data-driven methods including synchronization, directionality, and information transfer.
Main Results:
- Non-invasive methods allow for long-term, time-varying assessment of cortical and autonomic activity.
- BHI modulation across different physiological and pathological states is reviewed.
- Potential data-driven strategies for examining complex BHI are discussed.
Conclusions:
- Studying BHI offers new insights into the dynamic interaction of cortical and autonomic processes.
- Understanding BHI can advance diagnosis, monitoring, and therapeutic interventions in neurocardiac conditions.
- This review highlights the potential of BHI as a biomarker and research area.
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