期刊
JOURNAL OF NEUROSCIENCE
卷 41, 期 24, 页码 5251-5262出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.1740-20.2021
关键词
cerebral glucose metabolism; disorders of consciousness; heart rate variability; heartbeat-evoked response; random forests
资金
- European Research Council under the European Union [670325]
- Canadian Institute for Advanced Research program in Brain, Mind and Consciousness
- University and University Hospital of Liege
- Belgian FRS-FNRS
- European Union [945539]
- European Space Agency
- Belgian Federal Science Policy Office
- Fondazione Europea di Ricerca Biomedica
- Bial Foundation
- Mind Science Foundation
- fund Generet
- King Baudouin Foundation
- Disorders of Consciousness (DoC) : enhancing the transfer of knowledge and professional skills on evidencebased interventions and validated technology for a better management of patients Project [EU-H2020-MSCA-RISE-778234]
- [ANR-17-EURE-0017]
- European Research Council (ERC) [670325] Funding Source: European Research Council (ERC)
The study suggests that heartbeat-evoked responses (HER) have high accuracy in monitoring consciousness status, and are related to brain metabolism and consciousness diagnosis. HER can provide specific information about consciousness, and classify more accurately than heart rate variability.
The neural monitoring of visceral inputs might play a role in first-person perspective (i.e., the unified viewpoint of subjective experi-ence). 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% speci-ficity 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 net-work 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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据