Key result
ECG-derived heart rate asymmetry correlates moderately with consciousness levels in disorders of consciousness.
Why the study?
Distinguishing unresponsive wakefulness syndrome from minimally conscious state is clinically essential yet highly error-prone using standard behavioral assessments.
Does Heart Rate Asymmetry (HRA) derived from resting-state ECG distinguish minimally conscious state from unresponsive wakefulness syndrome?
Observational
Does Heart Rate Asymmetry (HRA) derived from resting-state ECG distinguish minimally conscious state from unresponsive wakefulness syndrome?
Nonlinear cardiac features such as Heart Rate Asymmetry carry diagnostic information beyond standard heart rate variability to distinguish disorders of consciousness.
Disorders of consciousness include unresponsive wakefulness syndrome (UWS), defined by absent awareness, and minimally conscious state (MCS), characterized by fluctuating yet reproducible signs of awareness. Distinguishing these two conditions is clinically essential yet remains highly error-prone using standard behavioral assessments. Cardiac autonomic regulation is governed by bidirectional brain-heart interactions that are differentially disrupted across consciousness levels, positioning electrocardiography (ECG) signals as a promising non-invasive diagnostic modality. This study examines whether Heart Rate Asymmetry (HRA) features derived from resting-state ECG Poincare plots can distinguish MCS from UWS patients. Our results reveal statistically significant differences in multiple HRA features. Absolute Spearman’s rank correlation coefficients of these features to Coma Recovery Scale-Revised scores indicate moderate monotonic relationships (|r| = 0.42 for total HRA; |r| = 0.47 for longterm HRA). These findings indicate that nonlinear cardiac features carry diagnostic information beyond what standard heart rate variability analysis provides.
No takes yet. Share an insight, caveat, or question.
Fleischhauer et al. (2026) conducted an observational in Disorders of consciousness (unresponsive wakefulness syndrome and minimally conscious state). Heart Rate Asymmetry (HRA) features derived from resting-state ECG was evaluated on Correlation of HRA features to Coma Recovery Scale-Revised scores (|r| = 0.47 for longterm HRA). Heart Rate Asymmetry features derived from resting-state ECG distinguished minimally conscious state from unresponsive wakefulness syndrome, correlating moderately with clinical scores (|r|=0.47).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: