Brain Connectivity Dissociates Responsiveness from Drug Exposure during Propofol-Induced Transitions of Consciousness
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9631
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1004669
- Title of journal
- PLoS Computational Biology
- Article number
- e1004669
- First page
- 1
- Volume
- 12
- Issue
- 1
- ISSN
- 1553-734X
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
https://kar.kent.ac.uk/54628/
- Supplementary information
-
-
- Request cross-referral to
- 1 - Clinical Medicine
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 53
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is significant as it demonstrates that network analysis of electrical brain activity predicts loss of consciousness during anaesthesia, which has been independently replicated. The brain network metrics significantly outperformed simpler measures extracted from EEG signals. The findings have the potential to change the way consciousness is managed, by informing accurate drug titration and monitoring during surgical anaesthesia.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
