Inclusion of the lesion of chronic stroke patients into a volume conduction model
Simulating the influence of the lesion on the electric field distribution generated by tDCS
F.E.M. Jeukens (TU Delft - Mechanical Engineering)
Alfred Schouten – Mentor (TU Delft - Biomechatronics & Human-Machine Control)
M. Manoochehri – Mentor (TU Delft - Biomechatronics & Human-Machine Control)
J.E. Geelen – Graduation committee member (TU Delft - Biomechatronics & Human-Machine Control)
Borbála Hunyadi – Graduation committee member (TU Delft - Signal Processing Systems)
Maria Carla Piastra – Mentor (Radboud University Medical Center)
Joris van der Cruijsen – Mentor (Erasmus MC)
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Abstract
Stroke is a cerebrovascular disorder with 15 million cases every year worldwide. The most common symptom is motor deficits. In order to overcome such symptoms, the motor brain either repairs the damaged tissue or reorganises to compensate for the injured brain region. To stimulate this reorganisation transcranial Direct Current Stimulation (tDCS) is considered to be a promising thera- peutic intervention. Simulations of electric field distributions generated by tDCS currently entail individualised volume conduction models to improve tDCS. A volume conduction model includes geometry and conductivity properties of tissue types in healthy subjects. When applying existing models to chronic stroke subjects, electric field distribution patterns differ substantially compared to healthy subject distribution patterns. In current models, the lesion is not identified and acknowledged as a distinctive tissue type, as it is yet unclear what the lesion influence is. However, the lesion is a potential source of variability in desired electric field distribution which could result in different motor recovery. A volume conduction model is designed by combining the software SimNIBS, which can segment the head of healthy subjects and LINDA, able to distinguish lesion tissue of chronic stroke subjects. The location and the conductivity value of the lesion seem to influence the electric field distribution of tDCS where this individualised model is preferred. Including the lesion is an important advance towards the use of volume conduction models for chronic stroke subjects to prospectively find optimal electrode configurations, keep the safety margins and to prospectively analyse the results of tDCS.