Electromagnetic source imaging for sparse cortical activation patterns

Author

Von Ellenrieder, Nicolás ; Hurtado, Martín ; Muravchik, Carlos H.

Author_Institution

Lab. de Electron. Ind., Control e Instrumentacion, Univ. Nac. de La Plata, La Plata, Argentina

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

4316

Lastpage

4319

Abstract

We propose modifications to the Automatic Relevance Determination (ARD) algorithm for solving the EEG/MEG inverse problem when the activation map of the cortex is known to be sparse. We propose to include a term to account for the background noise activity, i.e. electric activity of sources not in the cortex. Also, we prune the results of the ARD algorithm using a Model Selection criterion to get sparser results. Simulations with a realistic head model show a very important reduction of the number of sources incorrectly detected as active.

Keywords

electroencephalography; inverse problems; magnetoencephalography; medical signal processing; ARD algorithm; EEG inverse problem; MEG inverse problem; automatic relevance determination; background noise activity; electromagnetic source imaging; model selection criterion; sparse cortex activation map; sparse cortical activation patterns; Brain modeling; Computational modeling; Covariance matrix; Data models; Electroencephalography; Signal to noise ratio; Algorithms; Cerebral Cortex; Electromagnetic Fields; Humans;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626203

Filename

5626203