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pro vyhledávání: '"A, Zeidman"'
In both human and monkeys the observation and execution of actions produced the activation of a network consisting of parietal and frontal areas. Although this network is involved in the encoding of the action goal, it does not consider the affective
Externí odkaz:
http://arxiv.org/abs/2310.14213
A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions. Recent hardware innovations and falling data storage costs enable longer, mor
Externí odkaz:
http://arxiv.org/abs/2308.10618
Autor:
Upton, Emily, Doogan, Catherine, Fleming, Victoria, Leyton, Pedro Quijada, Barbera, David, Zeidman, Peter, Hope, Tom, Latham, William, Coley-Fisher, Henry, Price, Cathy, Crinion, Jennifer, Leff, Alex
Publikováno v:
In eClinicalMedicine April 2024 70
Autor:
Freek ten Doesschate, Willem Bruin, Peter Zeidman, Christopher C. Abbott, Miklos Argyelan, Annemieke Dols, Louise Emsell, Philip F.P. van Eijndhoven, Eric van Exel, Peter C.R. Mulders, Katherine Narr, Indira Tendolkar, Didi Rhebergen, Pascal Sienaert, Mathieu Vandenbulcke, Joey Verdijk, Mike van Verseveld, Hauke Bartsch, Leif Oltedal, Jeroen A. van Waarde, Guido A. van Wingen
Publikováno v:
Brain Stimulation, Vol 16, Iss 4, Pp 1128-1134 (2023)
Background: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depressive disorders. A recent multi-center study found no consistent changes in correlation-based (undirected) resting-state connectivity after ECT. Effec
Externí odkaz:
https://doaj.org/article/35287121bdbc484b93099625711a1b7a
Autor:
Parr, Thomas, Bhat, Anjali, Zeidman, Peter, Goel, Aimee, Billig, Alexander J., Moran, Rosalyn, Friston, Karl J.
An interesting inference drawn by some Covid-19 epidemiological models is that there exists a proportion of the population who are not susceptible to infection -- even at the start of the current pandemic. This paper introduces a model of the immune
Externí odkaz:
http://arxiv.org/abs/2009.08411
This technical note introduces parametric dynamic causal modelling, a method for inferring slow changes in biophysical parameters that control fluctuations of fast neuronal states. The application domain we have in mind is inferring slow changes in v
Externí odkaz:
http://arxiv.org/abs/2008.11650
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Price, Cathy J., Moran, Rosalyn J., Costello, Anthony, Pillay, Deenan, Lambert, Christian
This technical report addresses a pressing issue in the trajectory of the coronavirus outbreak; namely, the rate at which effective immunity is lost following the first wave of the pandemic. This is a crucial epidemiological parameter that speaks to
Externí odkaz:
http://arxiv.org/abs/2006.09429
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Price, Cathy J., Moran, Rosalyn J., Lambert, Christian
By equipping a previously reported dynamic causal model of COVID-19 with an isolation state, we modelled the effects of self-isolation consequent on tracking and tracing. Specifically, we included a quarantine or isolation state occupied by people wh
Externí odkaz:
http://arxiv.org/abs/2005.07994
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Price, Cathy J., Moran, Rosalyn J., Lambert, Christian
We recently described a dynamic causal model of a COVID-19 outbreak within a single region. Here, we combine several of these (epidemic) models to create a (pandemic) model of viral spread among regions. Our focus is on a second wave of new cases tha
Externí odkaz:
http://arxiv.org/abs/2004.13017
Autor:
Friston, Karl J., Parr, Thomas, Zeidman, Peter, Razi, Adeel, Flandin, Guillaume, Daunizeau, Jean, Hulme, Oliver J., Billig, Alexander J., Litvak, Vladimir, Moran, Rosalyn J., Price, Cathy J., Lambert, Christian
This technical report describes a dynamic causal model of the spread of coronavirus through a population. The model is based upon ensemble or population dynamics that generate outcomes, like new cases and deaths over time. The purpose of this model i
Externí odkaz:
http://arxiv.org/abs/2004.04463