Clinical Research Directory

Non-Invasive Detection and Preservation of Neurocognitive Signals in the Peri-Death Period Using Brain-Computer Interface and Artificial Intelligence

Background: Recent electroencephalography (EEG) data indicate that the transition from clinical death to cellular death is marked by highly organized neurophysiological events, including significant surges in gamma-band power, cross-frequency coupling, and distinct spreading depolarization waves. This prospective, observational feasibility study utilizes rapid-deployment, high-density, noninvasive BCI hardware paired with proprietary AI analytics to detect, classify, and securely archive these terminal neurocognitive signals. Objectives: (1) Quantify transient gamma-band activity and cross-frequency connectivity post-clinical death; (2) Validate the efficacy of machine learning models for real-time signal classification in high-noise clinical environments; (3) Establish a highly secure, encrypted bio-informational archive of peri-life EEG data. Design: Prospective, open-label, multicenter, observational cohort (n\>20).

Episodes of (Dis)Connected Consciousness in ICU Survivors

This single-center observational study aims to describe the incidence of episodes of connected consciousness and disconnected consciousness (including near-death experience (NDE) and out-of-body experiences) in patients who survived a prolonged stay of at least 7 days in the intensive care unit (ICU) and who had at least one episode of pharmacological or non-pharmacological coma. The investigators are also investigating the risk factors related to these episodes of consciousness. A follow-up at six months aims to explore the long-term psychological implications of these episodes.