Phantom Quantification of Magnetoencephalography Source Imaging Distortion Caused by Deep Brain Stimulation
Saar Kariv1, Jeong Woo Choi1, Amy L Proskovec2,3
1Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Brain Sciences
|June 26, 2026
Summary
Deep brain stimulation (DBS) artifacts minimally impact source-level magnetoencephalography (MEG) imaging. This study quantifies DBS effects on MEG dipole fitting, finding minimal distortion and stable head position indicator signals.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Medical Physics
Background:
- Deep brain stimulation (DBS) is crucial for treating neurological disorders.
- Magnetoencephalography (MEG) measures brain activity but can be affected by DBS artifacts.
- Understanding DBS effects on source-level MEG analysis is critical for accurate neuroscientific interpretation.
Purpose of the Study:
- To quantify the distortion of source-level MEG imaging caused by deep brain stimulation (DBS) artifacts.
- To assess the impact of varying stimulation amplitude, electrode configuration, and proximity on DBS-related MEG distortions.
- To evaluate the stability of head position indicator (HPI) coil signals during DBS.
Main Methods:
- Utilized a phantom-based experimental setup to simulate DBS and MEG recordings.
- Systematically varied DBS stimulation amplitude (mA), electrode configuration, and dipole-DBS electrode distance.
- Analyzed dipole-fitting accuracy (location, angle, amplitude) and HPI coil signal quality.
Main Results:
- Dipole location, angle, and amplitude errors were modest across tested conditions.
- Largest errors occurred at 5 mA ring-electrode stimulation (location/angle) and 15 mA (amplitude).
- Error increased significantly with proximity to the DBS electrode; HPI signals remained stable.
Conclusions:
- DBS stimulation itself does not significantly impair MEG dipole estimation accuracy.
- The study provides a quantitative framework for assessing DBS-related MEG distortions.
- This framework can be adapted to evaluate interference from other implanted or external devices.

