Tracking Brain States under General Anesthesia by Using Global Coherence Analysis
Time and frequency domain analyses of scalp EEG recordings are widely used to track changes in brain states under general anesthesia. Although these analyses have suggested that different spatial patterns are associated with changes in the state of general anesthesia, the extent to which these patte...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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National Academy of Sciences
2011
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| Online Access: | http://hdl.handle.net/1721.1/67354 https://orcid.org/0000-0001-5651-5060 https://orcid.org/0000-0003-2668-7819 |
| _version_ | 1826201732917493760 |
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| author | Pierce, Eric T. Walsh, John L. Harrell, P. Grace Tavares-Stoeckel, Casie Habeeb, Kathleen Cimenser, Aylin Purdon, Patrick Lee Salazar-Gomez, Andres F. Brown, Emery N. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Pierce, Eric T. Walsh, John L. Harrell, P. Grace Tavares-Stoeckel, Casie Habeeb, Kathleen Cimenser, Aylin Purdon, Patrick Lee Salazar-Gomez, Andres F. Brown, Emery N. |
| author_sort | Pierce, Eric T. |
| collection | MIT |
| description | Time and frequency domain analyses of scalp EEG recordings are widely used to track changes in brain states under general anesthesia. Although these analyses have suggested that different spatial patterns are associated with changes in the state of general anesthesia, the extent to which these patterns are spatially coordinated has not been systematically characterized. Global coherence, the ratio of the largest eigenvalue to the sum of the eigenvalues of the cross-spectral matrix at a given frequency and time, has been used to analyze the spatiotemporal dynamics of multivariate time-series. Using 64-lead EEG recorded from human subjects receiving computer-controlled infusions of the anesthetic propofol, we used surface Laplacian referencing combined with spectral and global coherence analyses to track the spatiotemporal dynamics of the brain's anesthetic state. During unconsciousness the spectrograms in the frontal leads showed increasing α (8–12 Hz) and δ power (0–4 Hz) and in the occipital leads δ power greater than α power. The global coherence detected strong coordinated α activity in the occipital leads in the awake state that shifted to the frontal leads during unconsciousness. It revealed a lack of coordinated δ activity during both the awake and unconscious states. Although strong frontal power during general anesthesia-induced unconsciousness—termed anteriorization—is well known, its possible association with strong α range global coherence suggests highly coordinated spatial activity. Our findings suggest that combined spectral and global coherence analyses may offer a new approach to tracking brain states under general anesthesia. |
| first_indexed | 2024-09-23T11:55:53Z |
| format | Article |
| id | mit-1721.1/67354 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:55:53Z |
| publishDate | 2011 |
| publisher | National Academy of Sciences |
| record_format | dspace |
| spelling | mit-1721.1/673542022-09-27T22:56:16Z Tracking Brain States under General Anesthesia by Using Global Coherence Analysis Pierce, Eric T. Walsh, John L. Harrell, P. Grace Tavares-Stoeckel, Casie Habeeb, Kathleen Cimenser, Aylin Purdon, Patrick Lee Salazar-Gomez, Andres F. Brown, Emery N. Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Brown, Emery N. Cimenser, Aylin Purdon, Patrick Lee Salazar-Gomez, Andres F. Brown, Emery N. Time and frequency domain analyses of scalp EEG recordings are widely used to track changes in brain states under general anesthesia. Although these analyses have suggested that different spatial patterns are associated with changes in the state of general anesthesia, the extent to which these patterns are spatially coordinated has not been systematically characterized. Global coherence, the ratio of the largest eigenvalue to the sum of the eigenvalues of the cross-spectral matrix at a given frequency and time, has been used to analyze the spatiotemporal dynamics of multivariate time-series. Using 64-lead EEG recorded from human subjects receiving computer-controlled infusions of the anesthetic propofol, we used surface Laplacian referencing combined with spectral and global coherence analyses to track the spatiotemporal dynamics of the brain's anesthetic state. During unconsciousness the spectrograms in the frontal leads showed increasing α (8–12 Hz) and δ power (0–4 Hz) and in the occipital leads δ power greater than α power. The global coherence detected strong coordinated α activity in the occipital leads in the awake state that shifted to the frontal leads during unconsciousness. It revealed a lack of coordinated δ activity during both the awake and unconscious states. Although strong frontal power during general anesthesia-induced unconsciousness—termed anteriorization—is well known, its possible association with strong α range global coherence suggests highly coordinated spatial activity. Our findings suggest that combined spectral and global coherence analyses may offer a new approach to tracking brain states under general anesthesia. National Institutes of Health (NIH) (Grant DP1 OD003646) National Institutes of Health (NIH) (Grant DP2-OD006454) National Institutes of Health (NIH) (Grant K25-NS05758) National Institutes of Health (NIH) (Grant 2T32NS048005-06) National Institutes of Health (NIH) (Grant 1 UL1 RR025758-01) National Institutes of Health (NIH) (Grant M01-RR-01066) 2011-12-02T19:04:29Z 2011-12-02T19:04:29Z 2011-05 2010-11 Article http://purl.org/eprint/type/JournalArticle 0027-8424 1091-6490 http://hdl.handle.net/1721.1/67354 Cimenser, A. et al. “Tracking brain states under general anesthesia by using global coherence analysis.” Proceedings of the National Academy of Sciences 108 (2011): 8832-8837. Web. 2 Dec. 2011. © 2011 New York Academy of Sciences https://orcid.org/0000-0001-5651-5060 https://orcid.org/0000-0003-2668-7819 en_US http://dx.doi.org/10.1073/pnas.1017041108 Proceedings of the National Academy of Sciences of the United States of America Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf National Academy of Sciences PNAS |
| spellingShingle | Pierce, Eric T. Walsh, John L. Harrell, P. Grace Tavares-Stoeckel, Casie Habeeb, Kathleen Cimenser, Aylin Purdon, Patrick Lee Salazar-Gomez, Andres F. Brown, Emery N. Tracking Brain States under General Anesthesia by Using Global Coherence Analysis |
| title | Tracking Brain States under General Anesthesia by Using Global Coherence Analysis |
| title_full | Tracking Brain States under General Anesthesia by Using Global Coherence Analysis |
| title_fullStr | Tracking Brain States under General Anesthesia by Using Global Coherence Analysis |
| title_full_unstemmed | Tracking Brain States under General Anesthesia by Using Global Coherence Analysis |
| title_short | Tracking Brain States under General Anesthesia by Using Global Coherence Analysis |
| title_sort | tracking brain states under general anesthesia by using global coherence analysis |
| url | http://hdl.handle.net/1721.1/67354 https://orcid.org/0000-0001-5651-5060 https://orcid.org/0000-0003-2668-7819 |
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