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Mendeley readers
Attention Score in Context
| Title |
EEG slow-wave coherence changes in propofol-induced general anesthesia: experiment and theory
|
|---|---|
| Published in |
Frontiers in Systems Neuroscience, October 2014
|
| DOI | 10.3389/fnsys.2014.00215 |
| Pubmed ID | |
| Authors |
Kaier Wang, Moira L. Steyn-Ross, D. A. Steyn-Ross, Marcus T. Wilson, Jamie W. Sleigh |
| Abstract |
The electroencephalogram (EEG) patterns recorded during general anesthetic-induced coma are closely similar to those seen during slow-wave sleep, the deepest stage of natural sleep; both states show patterns dominated by large amplitude slow waves. Slow oscillations are believed to be important for memory consolidation during natural sleep. Tracking the emergence of slow-wave oscillations during transition to unconsciousness may help us to identify drug-induced alterations of the underlying brain state, and provide insight into the mechanisms of general anesthesia. Although cellular-based mechanisms have been proposed, the origin of the slow oscillation has not yet been unambiguously established. A recent theoretical study by Steyn-Ross et al. (2013) proposes that the slow oscillation is a network, rather than cellular phenomenon. Modeling anesthesia as a moderate reduction in gap-junction interneuronal coupling, they predict an unconscious state signposted by emergent low-frequency oscillations with chaotic dynamics in space and time. They suggest that anesthetic slow-waves arise from a competitive interaction between symmetry-breaking instabilities in space (Turing) and time (Hopf), modulated by gap-junction coupling strength. A significant prediction of their model is that EEG phase coherence will decrease as the cortex transits from Turing-Hopf balance (wake) to Hopf-dominated chaotic slow-waves (unconsciousness). Here, we investigate changes in phase coherence during induction of general anesthesia. After examining 128-channel EEG traces recorded from five volunteers undergoing propofol anesthesia, we report a significant drop in sub-delta band (0.05-1.5 Hz) slow-wave coherence between frontal, occipital, and frontal-occipital electrode pairs, with the most pronounced wake-vs.-unconscious coherence changes occurring at the frontal cortex. |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Chile | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 109 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 22% |
| Researcher | 16 | 14% |
| Student > Master | 15 | 13% |
| Student > Bachelor | 13 | 11% |
| Professor | 7 | 6% |
| Other | 26 | 22% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 30 | 26% |
| Medicine and Dentistry | 20 | 17% |
| Agricultural and Biological Sciences | 12 | 10% |
| Engineering | 10 | 9% |
| Psychology | 7 | 6% |
| Other | 16 | 14% |
| Unknown | 22 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2016.
All research outputs
#12,712,597
of 22,770,070 outputs
Outputs from Frontiers in Systems Neuroscience
#651
of 1,341 outputs
Outputs of similar age
#115,550
of 260,656 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#27
of 56 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,656 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.