About: Dynamic Causal Modeling and subspace identification methods

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The main contribution of the paper is in formulating the problem of detection of brain regions structure within the framework of dynamic system theory. The motivation is to see if the mature domain of experimental identification of dynamic systems can provide a methodology alternative to Dynamic Causal Modeling (DCM) which is currently used as an exclusive tool to estimate the structure of interconnections among a given set of brain regions using the measured data from functional magnetic resonance imaging (fMRI). The key tool proposed for modeling the structure of brain interconnections in this paper is subspace identification methods which produce linear state-space model, thus neglecting the bilinear term from DCM. The procedure is illustrated using a simple two-region model with maximally simplified linearized hemodynamics. We assume that the underlying system can be modeled by a set of linear differential equations, and identify the parameters (in terms of state space matrices). The main contribution of the paper is in formulating the problem of detection of brain regions structure within the framework of dynamic system theory. The motivation is to see if the mature domain of experimental identification of dynamic systems can provide a methodology alternative to Dynamic Causal Modeling (DCM) which is currently used as an exclusive tool to estimate the structure of interconnections among a given set of brain regions using the measured data from functional magnetic resonance imaging (fMRI). The key tool proposed for modeling the structure of brain interconnections in this paper is subspace identification methods which produce linear state-space model, thus neglecting the bilinear term from DCM. The procedure is illustrated using a simple two-region model with maximally simplified linearized hemodynamics. We assume that the underlying system can be modeled by a set of linear differential equations, and identify the parameters (in terms of state space matrices). (en)
Title	Dynamic Causal Modeling and subspace identification methods Dynamic Causal Modeling and subspace identification methods (en)
skos:prefLabel	Dynamic Causal Modeling and subspace identification methods Dynamic Causal Modeling and subspace identification methods (en)
skos:notation	RIV/68407700:21230/12:00184438!RIV13-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1A8629), P(NR8937), Z(MSM6840770038)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Hromčík, Martin Nováková, Jana
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	132483
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/12:00184438
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	System identification; Subspace identification methods; Dynamic Causal Modeling; fMRI; DCM (en)
http://linked.open.../riv/klicoveSlovo	System identification fMRI DCM Dynamic Causal Modeling Subspace identification methods
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[40986BBE8C53]
http://linked.open...i/riv/nazevZdroje	Biomedical Signal Processing and Control
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Extrapyramidal Diseases - Correlation of Morphological, Functional and Clinical findings The use of deep-brain stimulation in treatment of Parkinson's disease and movement disorders
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	7
http://linked.open...iv/tvurceVysledku	Jech, R. Nováková, Jana Hromčík, Martin
http://linked.open...ain/vavai/riv/wos	000304843400007
http://linked.open...n/vavai/riv/zamer	Decision Making and Control for Manufacturing III
issn	1746-8094
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.bspc.2011.07.002
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Dynamic Causal Modeling and subspace identification methods

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