Decoding motor responses from the EEG during altered states of consciousness induced by propofol
| Autor: | Gert Jan Scheffer, J.G.C. Lerou, Loukianos Spyrou, Yvonne Blokland, J.M.J. Mourisse, Geert-Jan van Geffen, Jason Farquhar, Jörgen Bruhn |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Male medicine.medical_specialty Adolescent Consciousness Sedation Altered state of consciousness Biomedical Engineering Electroencephalography Audiology Intraoperative Awareness 03 medical and health sciences Cellular and Molecular Neuroscience Young Adult 0302 clinical medicine 030202 anesthesiology medicine Humans Clinical significance Propofol Brain–computer interface Communication medicine.diagnostic_test business.industry Cognitive artificial intelligence Awareness medicine.disease Brain Networks and Neuronal Communication [DI-BCB_DCC_Theme 4] Acoustic Stimulation Brain-Computer Interfaces Anesthetic Female medicine.symptom business Psychology 030217 neurology & neurosurgery Anesthetics Intravenous Psychomotor Performance medicine.drug |
| Zdroj: | Journal of Neural Engineering, 13, 2 Journal of Neural Engineering, 13 |
| ISSN: | 1741-2560 |
| Popis: | Contains fulltext : 157484.pdf (Publisher’s version ) (Open Access) Objective. Patients undergoing general anesthesia may awaken and become aware of the surgical procedure. Due to neuromuscular blocking agents, patients could be conscious yet unable to move. Using brain–computer interface (BCI) technology, it may be possible to detect movement attempts from the EEG. However, it is unknown how an anesthetic influences the brain response to motor tasks. Approach. We tested the offline classification performance of a movement-based BCI in 12 healthy subjects at two effect-site concentrations of propofol. For each subject a second classifier was trained on the subject’s data obtained before sedation, then tested on the data obtained during sedation (‘transfer classification’). Main results. At concentration 0.5 μ g ml -1 , despite an overall propofol EEG effect, the mean single trial classification accuracy was 85% (95% CI 81%- 89%), and 83% (79%-88%) for the transfer classification. At 1.0 μ g ml -1 , the accuracies were 81% (76%-86%), and 72% (66%-79%), respectively. At the highest propofol concentration for four subjects, unlike the remaining subjects, the movement-related brain response had been largely diminished, and the transfer classification accuracy was not significantly above chance. These subjects showed a slower and more erratic task response, indicating an altered state of consciousness distinct from that of the other subjects. Significance. The results show the potential of using a BCI to detect intra-operative awareness and justify further development of this paradigm. At the same time, the relationship between motor responses and consciousness and its clinical relevance for intraoperative awareness requires further investigation. 9 p. |
| Databáze: | OpenAIRE |
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