Abstract
The dynamic brain networks forming during wakefulness and anesthetic-induced unconsciousness are investigated using time-delayed correlation and graph theoretical measures. Electrical brain activity (EEG) from 10 patients under propofol anesthesia during routine surgery is characterized using the shortest path length, λ, and clustering, c, extracted from time-delayed correlation. An increase in λ and c during anesthesia reveals disruption of long-range connections and emergence of more localized neighborhoods. These changes were not a result of volume conduction, as were based on time-delayed correlation. Our observations are in line with theories of anesthetic action and support the use of graph theoretic measures to study emerging brain networks during wakefulness and anesthesia.
Original language | English |
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Title of host publication | IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 45-48 |
Number of pages | 4 |
ISBN (Electronic) | 9781479923465 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Externally published | Yes |
Event | 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 - Lausanne, Switzerland Duration: 22 Oct 2014 → 24 Oct 2014 |
Conference
Conference | 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 |
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Country/Territory | Switzerland |
City | Lausanne |
Period | 22/10/14 → 24/10/14 |