Zobrazeno 1 - 10
of 80
pro vyhledávání: '"David T J Liley"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4, p e1010012 (2022)
The dynamical and physiological basis of alpha band activity and 1/fβ noise in the EEG are the subject of continued speculation. Here we conjecture, on the basis of empirical data analysis, that both of these features may be economically accounted f
Externí odkaz:
https://doaj.org/article/9aebfbc012ca4d168c6af9cc255a45ee
Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra.
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007662 (2020)
Alpha blocking, a phenomenon where the alpha rhythm is reduced by attention to a visual, auditory, tactile or cognitive stimulus, is one of the most prominent features of human electroencephalography (EEG) signals. Here we identify a simple physiolog
Externí odkaz:
https://doaj.org/article/1fbe07fa69ef464fbecef9b64cc6d7b6
Parameter estimation and identifiability in a neural population model for electro-cortical activity.
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 5, p e1006694 (2019)
Electroencephalography (EEG) provides a non-invasive measure of brain electrical activity. Neural population models, where large numbers of interacting neurons are considered collectively as a macroscopic system, have long been used to understand fea
Externí odkaz:
https://doaj.org/article/34ce293b7a4e4e479cd2500fabfc1854
Publikováno v:
PLoS ONE, Vol 8, Iss 2, p e56434 (2013)
Parietal networks are hypothesised to play a central role in the cortical information synthesis that supports conscious experience and behavior. Significant reductions in parietal level functional connectivity have been shown to occur during general
Externí odkaz:
https://doaj.org/article/371fea17e0df48c0923a002bfcd26d38
Autor:
Ingo Bojak, David T J Liley
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 1, p e1000653 (2010)
By modelling the average activity of large neuronal populations, continuum mean field models (MFMs) have become an increasingly important theoretical tool for understanding the emergent activity of cortical tissue. In order to be computationally trac
Externí odkaz:
https://doaj.org/article/dbf1fcdbd5d64c1d8c9a32f83c098737
Autor:
David Scott, Brendan S. Silbert, David T. J. Liley, Abarna Devapalasundaram, Steven McGuigan, Lisbeth Evered, John R. Cormack
Publikováno v:
Anesthesia & Analgesia. 133:1269-1279
Background Depth-of-anesthesia monitoring is often utilized for patients receiving xenon anesthesia. Processed electroencephalogram (EEG) depth-of-anesthesia monitoring relies to a significant extent on frequency domain analysis of the frontal EEG, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23eb60e7729e31991b390cb2f538ed96
https://doi.org/10.1213/ane.0000000000005608
https://doi.org/10.1213/ane.0000000000005608
Autor:
Steven Mcguigan, Will Woods, David T. J. Liley, Suresh D. Muthukumaraswamy, Levin Kuhlmann, Andria Pelentritou, John R. Cormack
Publikováno v:
Anesthesiology. 132:1017-1033
Background Investigations of the electrophysiology of gaseous anesthetics xenon and nitrous oxide are limited revealing inconsistent frequency-dependent alterations in spectral power and functional connectivity. Here, the authors describe the effects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8da2b9689db898596928dc34970cf0de
https://doi.org/10.1097/aln.0000000000003169
https://doi.org/10.1097/aln.0000000000003169
Publikováno v:
Journal of clinical monitoring and computing.
Many processed EEG monitors (pEEG) are unreliable when non-GABAergic anesthetic agents are used. The primary aim of the study was to compare the response of the Bispectral Index (BIS) during emergence from anesthesia maintained by xenon and sevoflura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2cdf49685eeec1e01da1fef577e200d
https://pubmed.ncbi.nlm.nih.gov/35441313
https://pubmed.ncbi.nlm.nih.gov/35441313
Publikováno v:
PLoS computational biology. 18(4)
The dynamical and physiological basis of alpha band activity and 1/fβnoise in the EEG are the subject of continued speculation. Here we conjecture, on the basis of empirical data analysis, that both of these features may be economically accounted fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4da8421a40f7b9adb5b03098dfd7af73
https://pubmed.ncbi.nlm.nih.gov/35427355
https://pubmed.ncbi.nlm.nih.gov/35427355