NeuroRecovery Lab, GIGA-Consciousness, GIGA Institute, University of Liège, Liège, Belgium; IRENEA - Instituto de Rehabilitación Neurológica, Fundación Hospitales Vithas, València, Spain. Electronic address: a.barra@uliege.be.
2 papers in the library · 123 citations · publishing 2022-2025
A deep-learning-based explainable consciousness indicator (ECI) uses EEG responses to transcranial magnetic stimulation and resting-state EEG to separately quantify arousal and awareness. Tested during sleep (n=6), general anesthesia (n=16), and severe brain injury (n=34), ECI distinguishes states such as ketamine-induced anesthesia and rapid eye movement sleep, which combine low arousal with high awareness. Parietal brain regions are most relevant for these measurements. The indicator offers a way to disentangle the two components of consciousness across physiological, pharmacological, and pathological conditions.
A subset of patients in a minimally conscious state show improved behavioral responsiveness after transcranial direct current stimulation (tDCS) of the left dorsolateral prefrontal cortex, while those who are unresponsive show limited benefit. Among 131 patients, 32% of minimally conscious patients responded to tDCS, compared to 10% of unresponsive patients. A regression model using baseline diagnosis, Coma Recovery Scale-Revised Index, age, sex, and time since injury correctly identified responders 77% of the time. Patients in a minimally conscious state with better cognitive profiles and longer time since injury appear to respond better to tDCS, suggesting they are better candidates for this treatment.