Neural Responses to Heartbeats Detect Residual Signs of Consciousness during Resting State in Postcomatose Patients

Heartbeat-evoked responses (HERs) in resting-state EEG can distinguish between postcomatose patients who are unresponsive and those in a minimally conscious state with 87% accuracy, 96% sensitivity, and 50% specificity. HERs provide more accurate classification than random EEG segments not locked to heartbeats or heart rate variability. HER-based consciousness scores correlate with glucose metabolism in the right superior temporal sulcus and right ventral occipitotemporal cortex. HERs reflect consciousness diagnosis based on brain metabolism better than behavior-based diagnosis (77% validation accuracy). These findings suggest HERs capture a capacity for consciousness that does not necessarily translate into intentional overt behavior.

Study at a glance

Abstract

The neural monitoring of visceral inputs might play a role in first-person perspective (i.e., the unified viewpoint of subjective experience). In healthy participants, how the brain responds to heartbeats, measured as the heartbeat-evoked response (HER), correlates with perceptual, bodily, and self-consciousness. Here we show that HERs in resting-state EEG data distinguishes between postcomatose male and female human patients (n = 68, split into training and validation samples) with the unresponsive wakefulness syndrome and in patients in a minimally conscious state with high accuracy (random forest classifier, 87% accuracy, 96% sensitivity, and 50% specificity in the validation sample). Random EEG segments not locked to heartbeats were useful to predict unconsciousness/consciousness, but HERs were more accurate, indicating that HERs provide specific information on consciousness. HERs also led to more accurate classification than heart rate variability. HER-based consciousness scores correlate with glucose metabolism in the default-mode network node located in the right superior temporal sulcus, as well as with the right ventral occipitotemporal cortex. These results were obtained when consciousness was inferred from brain glucose met`abolism measured with positron emission topography. HERs reflected the consciousness diagnosis based on brain metabolism better than the consciousness diagnosis based on behavior (Coma Recovery Scale-Revised, 77% validation accuracy). HERs thus seem to capture a capacity for consciousness that does not necessarily translate into intentional overt behavior. These results confirm the role of HERs in consciousness, offer new leads for future bedside testing, and highlight the importance of defining consciousness and its neural mechanisms independently from behavior.