ArticleAnnals of clinical and translational neurology2024
Aberrant brain-heart coupling is associated with the severity of post cardiac arrest brain injury.
Article in Annals of clinical and translational neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Heartbeat-Evoked Responses in M/EEG: A Systematic Review of Methods With Suggestions for Analysis and Reporting.Psychophysiology · 2026Pooled it
- Prediction of Neurological Outcome and Mortality in Cardiac Arrest Patients: An Explainable Machine Learning Study Integrating HRV, EEG, and Clinical Features.Neurocritical care · 2026Article
- Predicting neurological recovery following cardiac arrest based on dynamic brain-heart coupling.Journal of neuroengineering and rehabilitation · 2026Article
- Bidirectional brain-heart interactions in health and disease.Nature reviews. Neurology · 2026Review
- Analysis of the predictive value of heart rate variability analysis combined with SOFA and APACHE II scores for the 28-day mortality risk of patients in the emergency intensive care unit.Frontiers in medicine · 2026Article
- Changes in cardio-respiratory-vascular coupling dynamics across altitude gradients: a shift from linear synchrony to nonlinear complexity.Frontiers in physiology · 2026Article
- Prolonged P14 latency predicts mortality in deep sedation: implications for neuroprotective sedation strategies-author's reply.Intensive care medicine · 2025Article
- Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient.Scientific reports · 2025Article
- Reviving hope: ghrelin's role in post-cardiac arrest coma management.Annals of medicine and surgery (2012) · 2025Article
- Dynamic brain-heart-gut coupling during sleep: a continuous physiological signal analysis.Frontiers in neuroscience · 2025Article
- A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson's disease.Human brain mapping · 2024Article
- Predictive Performance of Neuron-Specific Enolase (NSE) for Survival after Resuscitation from Cardiac Arrest: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2023Review
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Authors and funding
7 authors.
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Abstract
objectiveTo investigate autonomic nervous system activity measured by brain-heart interactions in comatose patients after cardiac arrest in relation to the severity and prognosis of hypoxic-ischemic brain injury.
methodsStrength and complexity of bidirectional interactions between EEG frequency bands (delta, theta, and alpha) and ECG heart rate variability frequency bands (low frequency, LF and high frequency, HF) were computed using a synthetic data generation model. Primary outcome was the severity of brain injury, assessed by (i) standardized qualitative EEG classification, (ii) somatosensory evoked potentials (N20), and (iii) neuron-specific enolase levels. Secondary outcome was the 3-month neurological status, assessed by the Cerebral Performance Category score [good (1-2) vs. poor outcome (3-4-5)].
resultsBetween January 2007 and July 2021, 181 patients were admitted to ICU for a resuscitated cardiac arrest. Poor neurological outcome was observed in 134 patients (74%). Qualitative EEG patterns suggesting high severity were associated with decreased LF/HF. Severity of EEG changes were proportional to higher absolute values of brain-to-heart coupling strength (p < 0.02 for all brain-to-heart frequencies) and lower values of alpha-to-HF complexity (p = 0.049). Brain-to-heart coupling strength was significantly higher in patients with bilateral absent N20 and correlated with neuron-specific enolase levels at Day 3. This aberrant brain-to-heart coupling (increased strength and decreased complexity) was also associated with 3-month poor neurological outcome.
interpretationOur results suggest that autonomic dysfunctions may well represent hypoxic-ischemic brain injury post cardiac arrest pathophysiology. These results open avenues for integrative monitoring of autonomic functioning in critical care patients.
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