Local neurodynamics and tDCS effects: a guide for symptom mitigation interventions

Résumé fourni par la source

Volume conductor modeling of the human head is an essential tool for neurophysiological characterization and the diagnosis of various neurological disorders.Among the non-invasive brain stimulation techniques, transcranial direct current stimulation (tDCS) is widely used in both clinical practice and neuroscience research.However, to achieve personalized tDCS, it is crucial to develop a pipeline that generates individualized head models to ensure target-specific stimulation.This process necessitates the electrical conductivity modeling of head tissues from magnetic resonance imaging (MRI) data, a task prone to segmentation errors, particularly for low-contrast tissues.Furthermore, traditional volume conductor models typically assign uniform electrical conductivity to each tissue, an assumption that does not accurately reflect the complex conductivity distribution in human tissues.In this study, we present a comparative analysis of head models with and without tissue segmentation in the application to tDCS.We introduce a novel approach for the rapid and automated estimation of electrical conductivity in the human head.The impact of these head modeling techniques on the induced electric field (EF) is systematically evaluated using 20 distinct head models.Our findings underscore the importance of accurate head modeling in optimizing stimulation protocols and advancing personalized neurostimulation therapies.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.