Influence of skull modelling on conductivity estimation for EEG source analysis

Christos Papageorgakis (1, 2, 3) , Benjamin Lanfer (4) , Maureen Clerc (2)

1 APICS - Analysis and Problems of Inverse type in Control and Signal processing
2 ATHENA - Computational Imaging of the Central Nervous System
3 COMUE UCA - COMUE Université Côte d'Azur (2015-2019)
4 Partenaire privé

The skull conductivity strongly influences the accuracy of EEG source localization methods. As the conductivity of the skull has strong inter-individual variability, conductivity estimation techniques are required. Typically, conductivity estimation is performed on data from a single event-related stimulation paradigm, which can be explained by one dipole source. A conductivity value for the skull can be estimated as the value for which the single dipole source provides the best goodness of fit to the data. This conductivity value is then used to analyse the actual data of interest. It is known that the optimal local skull conductivity when modelling the skull as one compartment depends on the amount of spongiosa present locally. The research question arising is: Is conductivity estimation based on data from a single paradigm meaningful without accounting for the internal skull structure?

Domaines: Neurosciences [q-bio.NC]; Modélisation et simulation; Traitement du signal et de l'image [eess.SP]; Electromagnétisme

Christos Papageorgakis, Benjamin Lanfer, Maureen Clerc. Influence of skull modelling on conductivity estimation for EEG source analysis. International conference on basic and clinical multimodal imaging (BACI), Sep 2015, Utrecht, Netherlands. . ⟨hal-01244392⟩