Tissue Activation Calculation in Dual-lead Deep Brain Stimulation
Anna Franziska Frigge, Alexander Medvedev

TL;DR
This paper investigates how multiple closely placed DBS leads interact electrically, showing that simple models often misestimate tissue activation, which is crucial for precise neuromodulation therapy planning.
Contribution
It introduces a comprehensive dual-lead model for DBS that accounts for electrical interactions, improving accuracy over traditional single-lead approximations.
Findings
Superposition of VTAs underestimates activation.
Superposition of electric fields overestimates activation.
Close proximity leads cause complex interactions affecting stimulation spread.
Abstract
Deep Brain Stimulation (DBS) is a well-established neurosurgical treatment aiming at symptom alleviation in a range of neurological and psychiatric diseases. Computational models of DBS are widely used to investigate the effects of stimulation on neural tissue, to explore stimulation targets and sweetspots, and ultimately, to aid clinicians in the DBS programming by calculating the stimulation parameters. Commonly, DBS is performed bilaterally, i.e. with one lead in each brain hemisphere, where computational models are solved independently for one lead at a time. This paper treats scenarios where multiple DBS leads are implanted in close proximity to one another, resulting in interacting electrical fields and, therefore, potentially overlapping stimulation spreads. In particular, a global dual-lead model is compared to approximations derived from single-lead approaches in a cohort of…
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Taxonomy
TopicsNeurological disorders and treatments · Transcranial Magnetic Stimulation Studies · Neuroscience and Neural Engineering
