An empirical Bayesian solution to the source reconstruction problem in EEG

Distributed linear solutions of the EEG source localisation problem are used routinely. In contrast to discrete dipole equivalent models, distributed linear solutions do not assume a fixed number of active sources and rest on a discretised fully 3D representation of the electrical activity of the br...

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Vydáno v:	NeuroImage (Orlando, Fla.) Ročník 24; číslo 4; s. 997 - 1011
Hlavní autoři:	Phillips, Christophe, Mattout, Jeremie, Rugg, Michael D., Maquet, Pierre, Friston, Karl J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 15.02.2005 Elsevier Limited Academic Press Inc Elsevier Science
Témata:	Algorithms Bayes Theorem Bayesian analysis Distributed solution EEG Electroencephalography - statistics & numerical data Evoked Potentials, Somatosensory - physiology Expectation-maximisation (EM) procedure Humans Image Processing, Computer-Assisted - statistics & numerical data Inverse problems Likelihood Functions Magnetic Resonance Imaging Neurosciences & behavior Neurosciences & comportement Restricted maximum likelihood (ReML) solution Sciences sociales & comportementales, psychologie Social & behavioral sciences, psychology Source reconstruction Standard deviation Source reconstruction Restricted maximum likelihood (ReML) solution Expectation-maximisation (EM) procedure EEG Distributed solution
ISSN:	1053-8119, 1095-9572, 1095-9572
On-line přístup:	Získat plný text
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