Efficient prospective electric field-informed localization of motor cortical targets of transcranial magnetic stimulation.

ABSTRACT: Transcranial magnetic stimulation (TMS) is a versatile non-invasive tool for brain mapping and neuromodulation in both healthy individuals and patients. Effective TMS-based causal brain mapping relies on precise localization of cortical targets. Current state-of-the-art approaches use statistical methods to quantify the relationship between TMS-induced electric fields (E-fields) and motor evoked potential (MEP) amplitudes. However, this method typically relies on the random selection of coil configurations, which limits its efficacy. In this study, we present a novel optimization strategy for TMS-based motor mapping by prospectively selecting coil configurations based on their E-field characteristics using an iterative sampling algorithm called farthest point sampling (FPS). Through a comb

SUBMITTER: Schultheiss DL 

PROVIDER: S-EPMC12720167 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature