AUTHOR=Paffi Alessandra , Camera Francesca , Apollonio Francesca , d’Inzeo Guglielmo , Liberti Micaela TITLE=Numerical characterization of intraoperative and chronic electrodes in deep brain stimulation JOURNAL=Frontiers in Computational Neuroscience VOLUME=9 YEAR=2015 URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2015.00002 DOI=10.3389/fncom.2015.00002 ISSN=1662-5188 ABSTRACT=

An intraoperative electrode (microelectrode) is used in the deep brain stimulation (DBS) technique to pinpoint the brain target and to choose the best parameters for the electrical stimulus. However, when the intraoperative electrode is replaced with the chronic one (macroelectrode), the observed effects do not always coincide with predictions. To investigate the causes of such discrepancies, a 3D model of the basal ganglia has been considered and realistic models of both intraoperative and chronic electrodes have been developed and numerically solved. Results of simulations of the electric potential (V) and the activating function (AF) along neuronal fibers show that the different geometries and sizes of the two electrodes do not change the distributions and polarities of these functions, but rather the amplitudes. This effect is similar to the one produced by the presence of different tissue layers (edema or glial tissue) in the peri-electrode space. Conversely, an inaccurate positioning of the chronic electrode with respect to the intraoperative one (electric centers not coincident) may induce a completely different electric stimulation in some groups of fibers.