Madan S, Hart LA, Li N, Dembek TA, Butenko K, Meyer GM, Rajamani N, Goede L, Bahners BH, Pijar J, Zvarova P, Sahin IA, Friedrich H, Aracil-Bolanos I, Chua M, Neudorfer C, Tasserie J, Horn A.

Apert Neuro. 2025 Sep 17; 5: 10.52294/001c.129658. doi: 10.52294/001c.129658. Epub 2025 Feb 28. PMID: 40963881.

Abstract

Deep Brain Stimulation (DBS) is a neurosurgical procedure that involves implanting electrodes into specific brain regions to treat brain disorders. Accurate reconstruction of electrode placement is crucial for treatment optimization. Several systems, such as Lead-DBS, have been developed to reconstruct DBS electrodes, and typically require expert user input. However, open DBS datasets with reference electrode localizations are not available, posing a challenge to train research personnel on accurate use of these methods. In this paper, we introduce Lead-Tutor, an open-access educational resource that combines an imaging dataset of anonymized DBS cases with a software tool for self-teaching. This resource includes a dataset of pre- and post-operative magnetic resonance imaging (MRI) and computed tomography (CT) scans from ten patients with DBS implants. Along with this dataset, we provide a means for users to practice and enhance their electrode localization skills through the Lead-DBS pipeline. Aimed at new scientists in the DBS field, Lead-Tutor is a comprehensive resource available within Lead-DBS that promotes open science and education for enhanced reproducibility and potential clinical applications.