Precision of post-operative localization of deep brain stimulation electrodes

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-28
DOI
https://doi.org/10.1038/s41598-025-01449-6
Citations
1
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precision of post-operative localization of deep brain stimulation electrodes

Kristína Burdová, Pavel Filip, Robert Jech, Dušan Urgošík et al.
1 citations
Scientific Reports
Neurological disorders and treatments
1.39
article

Precision of post-operative localization of deep brain stimulation electrodes

Kristína Burdová, Pavel Filip, Robert Jech, Dušan Urgošík, Josef Mana, Filip Růžička, Dimitra Kiakou, Andrej Lasica, Karsten Mueller
article en
1 citations

Abstract

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.

Scientific ReportsVol. 15(1)
University of Minnesota (US), Charles University (CZ), Na Homolce Hospital (CZ), Max Planck Institute for Human Cognitive and Brain Sciences (DE), Resonance Research (United States) (US), General University Hospital in Prague (CZ)
EU Joint Programme – Neurodegenerative Disease Research, European Commission, Ministerstvo Školství, Mládeže a Tělovýchovy, Ministerstvo Zdravotnictví Ceské Republiky
Openalex Percentile: Top 19%
Neurological disorders and treatments
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.