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Group optimization methods for dose planning in tES - PMC

pmc.ncbi.nlm.nih.gov · 6,398 words · saved by 1 readers

Optimizing transcranial electrical stimulation (tES) parameters—including stimulator settings and electrode placements—using magnetic resonance imaging-derived head models is essential for achieving precise electric field (E-field) distributions, ...

Abstract Objective: Optimizing transcranial electrical stimulation (tES) parameters—including stimulator settings and electrode placements—using magnetic resonance imaging-derived head models is essential for achieving precise electric field (E-field) distributions, enhancing therapeutic efficacy, and reducing inter-individual variability. However, the dependence on individually personalized MRI-based models limits their scalability in some clinical and research contexts. To overcome this limitation, we propose a novel group-level optimization framework employing multiple representative…

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