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March 23, 2021Journal of Neuroscience83 citationsOpen Access

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

DCDiego Candia‐RiveraJAJitka AnnenOGOlivia Gosseries

Key Result

Heartbeat-evoked responses in resting-state EEG distinguished between postcomatose patients in a minimally conscious state and those with unresponsive wakefulness syndrome with 86.67% accuracy.

Study Design

Type

Cross-Sectional (n=68)

Blinding

Single-blind

Multicenter

No

Structured PICO

Does heartbeat-evoked response (HER) measurement improve detection of residual consciousness in postcomatose patients?

P
Population
68 postcomatose patients with prolonged disorders of consciousness underwent resting-state EEG and FDG-PET to evaluate heartbeat-evoked responses as a marker of residual consciousness.
E
Exposure
Heartbeat-evoked responses (HERs) derived from resting-state high-density EEG
C
Comparator
Random EEG segments not locked to heartbeats, and heart rate variability (HRV)
O
Outcome
Accuracy of distinguishing between unresponsive wakefulness syndrome and minimally conscious state, validated against PET-based diagnosis of glucose metabolismsurrogate

Heartbeat-evoked responses in resting-state EEG can accurately detect residual consciousness in postcomatose patients, outperforming behavioral assessments and offering a potential new bedside diagnostic tool.

Main Result

Absolute Event Rate: 86.67% vs 80.84%

p-value: p=<0.001

Limitations

  • Unbalanced sample size with significantly more MCS patients than UWS patients
  • Potential for residual cardiac artifacts in the EEG data despite ICA correction
  • Low specificity (50%) in the validation sample for detecting UWS

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.

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Cite This Study

Candia‐Rivera et al. (2021) conducted a cross-sectional in Disorders of consciousness (unresponsive wakefulness syndrome or minimally conscious state) (n=68). Heartbeat-evoked responses (HERs) in resting-state EEG vs. Random EEG segments not locked to heartbeats was evaluated on Classification accuracy of PET-based consciousness diagnosis (MCS vs UWS) in the validation sample (p=<0.001). Heartbeat-evoked responses in resting-state EEG distinguished between postcomatose patients in a minimally conscious state and those with unresponsive wakefulness syndrome with 86.67% accuracy.

synapsesocial.com/papers/6a74b49a96d04a2f43f5517ehttps://doi.org/10.1523/jneurosci.1740-20.2021
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