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Neural Responses to Heartbeats Detect Residual Signs of Consciousness during Resting State in Postcomatose Patients.
Candia-Rivera, Diego; Annen, Jitka; Gosseries, Olivia; Martial, Charlotte; Thibaut, Aurore; Laureys, Steven; Tallon-Baudry, Catherine.
Afiliación
  • Candia-Rivera D; Laboratoire de Neurosciences Cognitives et Computationnelles, Département d'Etudes Cognitives, École Normale Supérieure, INSERM, Université PSL, 75005 Paris, France diego.candia.r@ug.uchile.cl.
  • Annen J; GIGA-Consciousness, Coma Science Group, University of Liège, 4000 Liège, Belgium.
  • Gosseries O; Centre du Cerveau, University Hospital of Liège, 4000 Liège, Belgium.
  • Martial C; GIGA-Consciousness, Coma Science Group, University of Liège, 4000 Liège, Belgium.
  • Thibaut A; Centre du Cerveau, University Hospital of Liège, 4000 Liège, Belgium.
  • Laureys S; GIGA-Consciousness, Coma Science Group, University of Liège, 4000 Liège, Belgium.
  • Tallon-Baudry C; Centre du Cerveau, University Hospital of Liège, 4000 Liège, Belgium.
J Neurosci ; 41(24): 5251-5262, 2021 06 16.
Article en En | MEDLINE | ID: mdl-33758019
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Coma / Estado Vegetativo Persistente / Monitorización Neurofisiológica / Frecuencia Cardíaca Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Neurosci Año: 2021 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Coma / Estado Vegetativo Persistente / Monitorización Neurofisiológica / Frecuencia Cardíaca Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Neurosci Año: 2021 Tipo del documento: Article País de afiliación: Francia