About: Sigmoid function parameter stability in anatomically informed priors for dynamic causal models

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Sigmoid function parameter stability in anatomically informed priors for dynamic causal models Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ww4.aievolution.com/hbm1401/index.cfm?do=abs.viewAbs&abs=3359
Description	Stephan et al. (2009b) introduced and showed that the anatomical connectivity (AC) can improve effective connectivity estimation via dynamic causal modelling (DCM) (Friston et al. 2003). They proved it on the model with 4 regions of interest (ROIs) in visual cortex. But it can not be expected that the sigmoid parameters which affects the variance of shrinkage priors based on AC will be stable and same for different brain areas or especially for different number of ROIs. Additionally, usage of the fully-connected model could be more beneficial in this application. The aim of this work was comparison of optimal sigmoid function parameters in approach introduced by Stephan et al. (2009b) on 6 ROIs fully-connected model of motor task data with optimal parameters estimated by the authors in 2009. Stephan et al. (2009b) introduced and showed that the anatomical connectivity (AC) can improve effective connectivity estimation via dynamic causal modelling (DCM) (Friston et al. 2003). They proved it on the model with 4 regions of interest (ROIs) in visual cortex. But it can not be expected that the sigmoid parameters which affects the variance of shrinkage priors based on AC will be stable and same for different brain areas or especially for different number of ROIs. Additionally, usage of the fully-connected model could be more beneficial in this application. The aim of this work was comparison of optimal sigmoid function parameters in approach introduced by Stephan et al. (2009b) on 6 ROIs fully-connected model of motor task data with optimal parameters estimated by the authors in 2009. (en)
Title	Sigmoid function parameter stability in anatomically informed priors for dynamic causal models Sigmoid function parameter stability in anatomically informed priors for dynamic causal models (en)
skos:prefLabel	Sigmoid function parameter stability in anatomically informed priors for dynamic causal models Sigmoid function parameter stability in anatomically informed priors for dynamic causal models (en)
skos:notation	RIV/00216305:26220/14:PU109412!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GAP103/12/0552), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Fousek, Jan Havlíček, Martin Jan, Jiří Labounek, René
http://linked.open.../riv/druhVysledku	O - Ostatní výsledky nezařaditelné do žádného z výše uvedených druhů výsledku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	44800
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/14:PU109412
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	anatomical and effective connectivity, fMRI, diffusion MRI, dynamic causal modelling (en)
http://linked.open.../riv/klicoveSlovo	dynamic causal modelling fMRI anatomical and effective connectivity diffusion MRI
http://linked.open...ontrolniKodProRIV	[AFDE824D7D18]
http://linked.open...in/vavai/riv/obor	FH
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	7 (xsd:int)
http://linked.open...vavai/riv/projekt	Comparison and inference of methods for evaluation of functional and effective connectivity in fMRI
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Fousek, Jan Jan, Jiří Labounek, René Brázdil, Milan Havlíček, Martin Mikl, Michal Gajdoš, Martin
http://localhost/t...ganizacniJednotka	26220

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software