• This record comes from PubMed

Precision of post-operative localization of deep brain stimulation electrodes

. 2025 May 28 ; 15 (1) : 18652. [epub] 20250528

Language English Country Great Britain, England Media electronic

Document type Journal Article

Grant support
LX22NPO5107 Ministerstvo Školství, Mládeže a Tělovýchovy
CZ-DRO-VFN64165 Ministerstvo Zdravotnictví Ceské Republiky

Links

PubMed 40436963
PubMed Central PMC12120071
DOI 10.1038/s41598-025-01449-6
PII: 10.1038/s41598-025-01449-6
Knihovny.cz E-resources

Tools for post-operative localization of deep brain stimulation (DBS) electrodes may be of major benefit in the evaluation of the stimulation area. However, little is known about their precision. This study compares 3 different software packages used for DBS electrode localization. T1-weighted MRI images before and after the implantation of the electrodes into the subthalamic nucleus for DBS in 105 Parkinson's disease patients were processed using the pipelines implemented in Lead-DBS, SureTune4, and Brainlab. Euclidean distance between active contacts determined by individual software packages and in repeated processing by the same and by a different operator was calculated. Furthermore, Dice coefficient for overlap of volume of tissue activated (VTA) was determined for Lead-DBS. Medians of Euclidean distances between estimated active contact locations in inter-software package comparison ranged between 1.5 mm and 2 mm. Euclidean distances in within-software package intra- and inter-rater assessments were 0.6-1 mm and 1-1.7 mm, respectively. Median intra- and inter-rater Dice coefficients for VTAs were 0.78 and 0.75, respectively. Since the median distances are close to the size of the target nucleus, any clinical use should be preceded by careful review of the outputs.

See more in PubMed

Larson, P. S. Deep brain stimulation for movement disorders. PubMed PMC

Eisenstein, S. A. et al. Functional anatomy of subthalamic nucleus stimulation in Parkinson disease. PubMed PMC

Dembek, T. A. et al. Probabilistic sweet spots predict motor outcome for deep brain stimulation in Parkinson disease. PubMed

Butson, C. R., Cooper, S. E., Henderson, J. M., Wolgamuth, B. & McIntyre, C. C. Probabilistic analysis of activation volumes generated during deep brain stimulation. PubMed PMC

Horn, A. et al. Lead-DBS v2: towards a comprehensive pipeline for deep brain stimulation imaging. PubMed PMC

Mavridis, I., Boviatsis, E. & Anagnostopoulou, S. Anatomy of the human subthalamic nucleus: a combined morphometric study. PubMed PMC

Xiao, Y. et al. Investigation of morphometric variability of subthalamic nucleus, red nucleus, and substantia Nigra in advanced Parkinson’s disease patients using automatic segmentation and PCA-based analysis. PubMed PMC

Bejjani, B. P. et al. Bilateral subthalamic stimulation for Parkinson’s disease by using three-dimensional stereotactic magnetic resonance imaging and electrophysiological guidance. PubMed

Al Awadhi, A. et al. Electrophysiological confrontation of Lead-DBS-based electrode localizations in patients with Parkinson’s disease undergoing deep brain stimulation. PubMed PMC

He, C., Zhang, F., Li, L., Jiang, C. & Li, L. Measurement of lead localization accuracy based on magnetic resonance imaging. PubMed PMC

Xu, Y. et al. Deep brain stimulation electrode reconstruction: comparison between Lead-DBS and surgical planning system. PubMed PMC

Kiebel, S. J. & Friston, K. J. Statistical parametric mapping for event-related potentials: I. Generic considerations. PubMed

Schönecker, T., Kupsch, A., Kühn, A. A., Schneider, G. H. & Hoffmann, K. T. Automated optimization of subcortical cerebral MR Imaging – Atlas coregistration for improved postoperative electrode localization in deep brain stimulation. PubMed PMC

Horn, A. & Kühn, A. A. Lead-DBS: A toolbox for deep brain stimulation electrode localizations and visualizations. PubMed

Husch, A., Petersen, V., Gemmar, M., Goncalves, P., Hertel, F. & J. & PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation. PubMed PMC

Waldthaler, J. et al. Imaging-based programming of subthalamic nucleus deep brain stimulation in Parkinson’s disease. PubMed

Torres, V. et al. Image-guided programming deep brain stimulation improves clinical outcomes in patients with Parkinson’s disease. PubMed PMC

Roediger, J. et al. Automated deep brain stimulation programming based on electrode location: a randomised, crossover trial using a data-driven algorithm. PubMed

Lange, F. et al. Reduced programming time and strong symptom control even in chronic course through Imaging-Based DBS programming. PubMed PMC

Rodriguez-Oroz, M. C. et al. The subthalamic nucleus in Parkinson’s disease: somatotopic organization and physiological characteristics. PubMed

Lofredi, R. et al. Interrater reliability of deep brain stimulation electrode localizations. PubMed

Friston, K. J. et al. Spatial registration and normalization of images.

Avants, B.B., Epstein, C.L. & Grossman, M. & Gee, J.C. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. PubMed PMC

Vorwerk, J., Oostenveld, R., Piastra, M. C., Magyari, L. & Wolters, C. H. The FieldTrip-SimBio pipeline for EEG forward solutions. PubMed PMC

Oostenveld, R., Fries, P., Maris, E. & Schoffelen, J. M. FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. PubMed PMC

Dice, L. R. Measures of the amount of Ecologic association between species.

Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. DOI

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...