Research data supporting "Brain connectivity during propofol sedation"
Authors
Chennu, Srivas
O’ Connor, Stuart
Adapa, Ram
Menon, David K.
Bekinschtein, Tristan A.
Publication Date
2015-11-25Publisher
University of Cambridge
Type
Dataset
Metadata
Show full item recordCitation
Chennu, S., O’ Connor, S., Adapa, R., Menon, D. K., & Bekinschtein, T. A. (2015). Research data supporting "Brain connectivity during propofol sedation" [Dataset]. https://doi.org/10.17863/CAM.68959
Description
This is the final version of the article. It was first available from PLOS via http://dx.doi.org/10.1371/journal.pcbi.1004669
The data are electroencephalograms of electrical brain activity recorded in 20 healthy participants who were given the sedative propofol. For each participant, there are 4 datasets each with approximately 7 minutes of 91-channel EEG at rest, recorded at baseline, during mild sedation, moderate sedation, and finally at recovery. The EEG data have been filtered between 0.5-45Hz, segmented into 10-second epochs, cleaned and preprocessed to remove artefact, and referenced to the average of all channels. The datasets are in EEGLAB format.
For each dataset, there is an entry in the MATLAB table stored in the file datainfo.mat included. This entry specifies, in order:
1) the name of the dataset
2) the level of sedation at which the dataset was acquired (1 = baseline, 2 = mild sedation, 3 = moderate sedation, 4 = recovery)
3) the concentration of propofol measured in blood plasma at that level (in microgram/litre)
4) the average reaction times measured in a speeded two-choice response task administered at that level (in milliseconds)
5) the number of correct responses in that task (out of a max of 40)
Format
EEGLAB and MATLAB files
Abstract
Accurately measuring the neural correlates of consciousness is a grand challenge for neuroscience. Despite theoretical advances, developing reliable brain measures to track the loss of reportable consciousness during sedation is hampered by significant individual variability in susceptibility to anaesthetics. We addressed this challenge using high-density electroencephalography to characterise changes in brain networks during propofol sedation. Assessments of spectral connectivity networks before, during and after sedation were combined with measurements of behavioural responsiveness and drug concentrations in blood. Strikingly, we found that participants who had weaker alpha band networks at baseline were more likely to become unresponsive during sedation, despite registering similar levels of drug in blood. In contrast, phase-amplitude coupling between slow and alpha oscillations correlated with drug concentrations in blood. Our findings highlight novel markers that prognosticate individual differences in susceptibility to propofol and track drug exposure. These advances could inform accurate drug titration and brain state monitoring during anaesthesia.
Keywords
Consciousness, Electroencephalography, Sedation, Propofol, Brain Connectivity
Relationships
Publication Reference: https://doi.org/10.1371/journal.pcbi.1004669
Sponsorship
This work was supported by grants from the James S. McDonnell Foundation, the Wellcome Trust [WT093811MA to TAB], and the British Oxygen Professorship from the Royal College of Anaesthetists [to DKM]. The research was also supported by the NIHR Brain Injury Healthcare Technology Co-operative based at Cambridge University Hospitals NHS Foundation Trust and University of Cambridge. The views expressed are those of the authors and not necessarily those of the UK National Health Service, the NIHR or the UK Department of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.68959
Rights
Attribution 2.0 UK: England & Wales
Licence URL: http://creativecommons.org/licenses/by/2.0/uk/
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