Head models and dynamic causal modeling of subcortical activity using magnetoencephalographic/electroencephalographic data.

Yohan Attal 1 Burkhard Maess 2 Angela Friederici 2 Olivier David 3
1 CRICM - Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière
2 Department of Neuropsychology [Leipzig]
3 GIN - Grenoble Institut des Neurosciences
Abstract : Cognitive functions involve not only cortical but also subcortical structures. Subcortical sources, however, contribute very little to magnetoencephalographic (MEG) and electroencephalographic (EEG) signals because they are far from external sensors and their neural architectonic organization often makes them electromagnetically silent. Estimating the activity of deep sources from MEG and EEG (M/EEG) data is thus a challenging issue. Here, we review the influence of geometric parameters (location/orientation) on M/EEG signals produced by the main deep brain structures (amygdalo-hippocampal complex, thalamus and some basal ganglia). We then discuss several methods that have been utilized to solve the issues and localize or quantify the M/EEG contribution from deep neural currents. These methods rely on realistic forward models of subcortical regions or on introducing strong dynamical priors on inverse solutions that are based on biologically plausible neural models, such as those used in dynamic causal modeling (DCM) for M/EEG.
Type de document :
Article dans une revue
Reviews in the Neurosciences, Walter de Gruyter, 2012, 23 (1), pp.85-95. 〈10.1515/rns.2011.056〉
Liste complète des métadonnées
https://hal.inria.fr/hal-00793670
Contributeur : Olivier Colliot <>
Soumis le : vendredi 22 février 2013 - 17:24:44
Dernière modification le : vendredi 24 août 2018 - 20:38:01

Lien texte intégral

istex

Identifiants

Collections

UGA | UPMC | ICM

Citation

Yohan Attal, Burkhard Maess, Angela Friederici, Olivier David. Head models and dynamic causal modeling of subcortical activity using magnetoencephalographic/electroencephalographic data.. Reviews in the Neurosciences, Walter de Gruyter, 2012, 23 (1), pp.85-95. 〈10.1515/rns.2011.056〉. 〈hal-00793670〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

118

Contact


archive-ouverte@inria.fr