Presence-IP1.0 for Detecting Consciousness During Sleep

This trial tests a new tool, Presence-IP1.0, designed to detect consciousness during sleep by measuring brain activity. The study aims to determine if this tool can accurately distinguish between wakefulness and sleep by monitoring brain responses. Researchers seek healthy adults who can sleep in a lab and are comfortable with brain scans such as EEG, which measures electrical activity in the brain. As an unphased trial, this study offers participants the chance to contribute to groundbreaking research in sleep science.

The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.

Research has shown that Presence-IP1.0, a new tool tested to detect awareness during sleep, is generally safe. The study employs a gentle method called TMS-EEG, which stimulates the brain and records its activity without causing pain or harm. Previous research using similar TMS-EEG methods has not reported any major side effects, indicating that people tolerate these techniques well. Participants in these studies usually experience only minor side effects, making Presence-IP1.0 a promising and safe option for detecting awareness.¹²³⁴⁵

Researchers are excited about the Presence-IP1.0 trial because it explores a non-invasive way to detect consciousness during sleep, which is not addressed by current sleep studies that primarily rely on polysomnography. This trial uses TMS-EEG, an innovative method that combines transcranial magnetic stimulation with electroencephalography to measure brain complexity and consciousness. This approach could revolutionize how we understand brain activity during sleep, offering new insights that standard sleep studies might miss.

Research has shown that the Presence-IP1.0 algorithm detects consciousness by analyzing brain activity during sleep. Studies have found that certain brain signals, known as event-related potentials (ERPs), can indicate awareness even when a person is asleep. In this trial, participants will undergo TMS-EEG recordings during wakefulness and sleep to assess brain complexity and consciousness state using the Presence-IP1.0. Early results suggest this algorithm might accurately identify conscious states by examining these brain patterns. If successful, it could differentiate between being awake and asleep using fewer sensors.¹⁶⁷⁸⁹