Spatial variation in automated burst suppression detection in pharmacologically induced coma
Burst suppression is actively studied as a control signal to guide anesthetic dosing in patients undergoing medically induced coma. The ability to automatically identify periods of EEG suppression and compactly summarize the depth of coma using the burst suppression probability (BSP) is crucial to e...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/112236 https://orcid.org/0000-0002-6025-2301 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0001-5651-5060 |
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| author | Jonnalagadda, Durga Moura, Valdery Purdon, Patrick L. Westover, M. Brandon An, Jingzhi Brown, Emery Neal |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Jonnalagadda, Durga Moura, Valdery Purdon, Patrick L. Westover, M. Brandon An, Jingzhi Brown, Emery Neal |
| author_sort | Jonnalagadda, Durga |
| collection | MIT |
| description | Burst suppression is actively studied as a control signal to guide anesthetic dosing in patients undergoing medically induced coma. The ability to automatically identify periods of EEG suppression and compactly summarize the depth of coma using the burst suppression probability (BSP) is crucial to effective and safe monitoring and control of medical coma. Current literature however does not explicitly account for the potential variation in burst suppression parameters across different scalp locations. In this study we analyzed standard 19-channel EEG recordings from 8 patients with refractory status epilepticus who underwent pharmacologically induced burst suppression as medical treatment for refractory seizures. We found that although burst suppression is generally considered a global phenomenon, BSP obtained using a previously validated algorithm varies systematically across different channels. A global representation of information from individual channels is proposed that takes into account the burst suppression characteristics recorded at multiple electrodes. BSP computed from this representative burst suppression pattern may be more resilient to noise and a better representation of the brain state of patients. Multichannel data integration may enhance the reliability of estimates of the depth of medical coma. |
| first_indexed | 2024-09-23T14:55:49Z |
| format | Article |
| id | mit-1721.1/112236 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:55:49Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1122362022-10-01T23:25:24Z Spatial variation in automated burst suppression detection in pharmacologically induced coma Jonnalagadda, Durga Moura, Valdery Purdon, Patrick L. Westover, M. Brandon An, Jingzhi Brown, Emery Neal Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences An, Jingzhi Brown, Emery Neal Purdon, Patrick L. Burst suppression is actively studied as a control signal to guide anesthetic dosing in patients undergoing medically induced coma. The ability to automatically identify periods of EEG suppression and compactly summarize the depth of coma using the burst suppression probability (BSP) is crucial to effective and safe monitoring and control of medical coma. Current literature however does not explicitly account for the potential variation in burst suppression parameters across different scalp locations. In this study we analyzed standard 19-channel EEG recordings from 8 patients with refractory status epilepticus who underwent pharmacologically induced burst suppression as medical treatment for refractory seizures. We found that although burst suppression is generally considered a global phenomenon, BSP obtained using a previously validated algorithm varies systematically across different channels. A global representation of information from individual channels is proposed that takes into account the burst suppression characteristics recorded at multiple electrodes. BSP computed from this representative burst suppression pattern may be more resilient to noise and a better representation of the brain state of patients. Multichannel data integration may enhance the reliability of estimates of the depth of medical coma. National Institutes of Health (U.S.) (Grant K23 NS090900) National Institute of Neurological Diseases and Stroke (U.S.) (Grant K23 NS090900) National Institutes of Health (U.S.) (Grant DP2-OD006454) National Institutes of Health (U.S.) (Grant TROI-GMI04948) 2017-11-20T16:12:49Z 2017-11-20T16:12:49Z 2015-11 2015-08 2017-11-01T14:10:12Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-9271-8 1094-687X http://hdl.handle.net/1721.1/112236 Jingzhi An, et al. “Spatial Variation in Automated Burst Suppression Detection in Pharmacologically Induced Coma.” 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) August 25-29 2015, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE), November 2015 © 2015 Institute of Electrical and Electronics Engineers (IEEE) https://orcid.org/0000-0002-6025-2301 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0001-5651-5060 http://dx.doi.org/10.1109/EMBC.2015.7320109 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) PMC |
| spellingShingle | Jonnalagadda, Durga Moura, Valdery Purdon, Patrick L. Westover, M. Brandon An, Jingzhi Brown, Emery Neal Spatial variation in automated burst suppression detection in pharmacologically induced coma |
| title | Spatial variation in automated burst suppression detection in pharmacologically induced coma |
| title_full | Spatial variation in automated burst suppression detection in pharmacologically induced coma |
| title_fullStr | Spatial variation in automated burst suppression detection in pharmacologically induced coma |
| title_full_unstemmed | Spatial variation in automated burst suppression detection in pharmacologically induced coma |
| title_short | Spatial variation in automated burst suppression detection in pharmacologically induced coma |
| title_sort | spatial variation in automated burst suppression detection in pharmacologically induced coma |
| url | http://hdl.handle.net/1721.1/112236 https://orcid.org/0000-0002-6025-2301 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0001-5651-5060 |
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