Skip to content

Brain connectivity changes of propofol-induced altered states of consciousness using High-Density EEG Source Estimation.

Zhian Liu, Lichengxi Si, Tianyu Wang, Gang Wang

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference July 1, 2022 DOI: 10.1109/embc48229.2022.9871256 (opens in new tab)

Read Full Text
Relevant Not relevant

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort Peer reviewed
Sample size 20
Population Healthy adults
Intervention Propofol
Topics Altered states of consciousness
Key findings Most pairwise orthogonal power envelope connectivity indicators that distinguish baseline from moderate sedation involve default mode network regions, and changes in thalamocortical and frontal-parietal connectivity mirror those seen with direct neuroimaging.

Abstract

Through source estimation, high-density electroencephalogram (EEG) signals at scalp level can be converted into signals at cerebral cortex level, which helps to measure cortical activity during anesthesia induced changes in consciousness level to explore the mechanism. In this research, the high-density EEG of propofol-induced consciousness states alterations in 20 healthy adults were converted into cortical signals of 68 regions of interest (ROI), after alpha bandpass filtering, the pairwise orthogonal power envelope connectivity (PEC) was calculated. Then, due to the number of PECs was huge, the least absolute shrinkage and selection operator (LASSO) was used to select as few PECs as possible as the indicators to distinguish baseline (BS) and moderate sedation (MD) states. The results show that most PECs that can be used as indicators are related to ROI related to default mode network (DMN). At the same time, changes of thalamocortical connectivity and frontal-parietal connectivity could be observed, similar to the neuroimaging method of directly measuring cerebral cortical activity. By extracting the PEC as a classifier to classify the BS and MD States, the accuracy could reach more than 70%. Therefore, this method can not only reflect the mechanism of cortical activity alterations induced by anesthetics, but also provide a new idea for monitoring the depth of anesthesia in the future. Clinical Relevance - This shows that the high-density EEG of scalp level can be converted into cortical signals by source estimation, which is similar to the neuroimaging method of directly measuring cortical activity.

Comparable studies

Other observational and cohort studies on altered states of consciousness, most cited first.

Study Year Design Participants
Neural correlates of the DMT experience assessed with multivariate EEG. 6 female, 7 male human participants 2019 Observational cohort n = 13
Measures of entropy and complexity in altered states of consciousness Subjects during resting wakefulness, different sleep stages, and epileptic seizures 2017 Observational study
Altered States of Consciousness and Short-Term Psychological After-Effects Induced by the First Time Ritual Use of Ayahuasca in an Urban Context in Brazil First-time ayahuasca users in Santo Daime and União do Vegetal rituals 2005 Observational cohort n = 28
Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning Healthy individuals during sleep, individuals under general anesthesia, and patients... 2022 Observational cohort n = 71
Subanaesthetic ketamine and altered states of consciousness in humans Human volunteers 2018 Observational study n = 15

Citations in the library

Cites 4

Related reading

Explore topics

Altered states of consciousness Default mode network