Post-implantation 3-T MRI in patients with an epicranial stimulation device: image quality and deep learning-based electrode reconstruction
We evaluated structural and functional MRI at 3 T in five patients with an implanted EASEE focal cortex stimulation system and assessed MRI-only electrode reconstruction. Image quality was evaluated visually and by comparing implant-centered and control regions using structural GM/WM signal ratios, GE-EPI signal intensity, T2*, and relative off-resonance. A deep learning pipeline trained exclusively on synthetic data estimated electrode position from T1-weighted MPRAGE images. Structural and functional acquisitions were completed in all patients without scan-related adverse events. Structural images showed clear intracranial anatomy beneath the implant without visually apparent local signal loss or distortion. GE-EPI reference images and derived maps showed no consistent local disturbance corresponding to the electrode. GE-EPI signal was numerically lower in implant-centered regions, but no imaging metric differed significantly between regions (all p > 0.05). Electrode reconstructions were anatomically plausible in all patients, with patient-specific median central electrode-to-cortical gray-matter distances ranging from 9 to 20 mm. These findings demonstrate the feasibility of post-implantation structural and functional MRI and MRI-only estimation of electrode-cortex geometry, although localization accuracy remains unvalidated. This combination provides a basis for future studies integrating patient-specific electrode geometry, electric-field modeling, and functional connectivity analyses in focal cortex stimulation with the EASEE system.
Authors
- Vera Dinkelacker (ORCID: https://orcid.org/0000-0002-8965-6502)
- Antonia Barghoorn (ORCID: https://orcid.org/0000-0002-6313-7851)
- Niels Schwaderlapp (ORCID: https://orcid.org/0009-0008-4691-7734)
- Eva Martinez‐Lizana (ORCID: https://orcid.org/0000-0001-7653-9449)
- Nicolas Zabler (ORCID: https://orcid.org/0000-0002-4406-1863)
- Maxim Zaitsev (ORCID: https://orcid.org/0000-0001-7530-1228)
- Matthias Duempelmann
- Andreas Schulze‐Bonhage (ORCID: https://orcid.org/0000-0003-2382-0506)
- Sotirios Kalousios (ORCID: https://orcid.org/0009-0007-7072-9576)
- Bernhard Steinhoff
Institutions
- University of Freiburg (DE)
- University Medical Center Freiburg (DE)
- Hôpitaux Universitaires de Strasbourg (FR)
Publication Details
- Journal
- medRxiv
- Published
- 2026-10-28
- DOI
- https://doi.org/10.64898/2026.10.27.26366576
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- preprint
Funders
- European Commission
- Interreg