Thesis defense Meron Vermaas (Donders series 583)
12 December 2022
Promotors: prof. dr. P. Tiesinga, prof. dr. N. Ramsey (Universiteit Utrecht)
Co-promotors: dr. T. Oostendorp, dr. M. Piastra (Universiteit Twente)
Finite element models to interpret and improve ECoG signals
This work aims to increase our understanding of electrocorticography recordings and grid designs. To accomplish this, the tool FEMfuns (Finite Element Models for useful neuroscience simulations) was developed, to compute forward solutions. The tool was applied to show the importance of explicitly including electrode properties in volume conduction models for accurately interpreting ECoG measurements. Furthermore, the separability of the recorded underlying activity was quantified. The results give an indication of the type of electrode placement and design that is needed to differentiate signals from each other.