Evidence map›Paper›PMID 42225900›Full record

ArticleActa neurochirurgica2026

Subthalamic segmentations in relation to deep brain stimulation volumes in Parkinson's disease.

Alexander Calvano, Yiming Xiao, Kenan Steidel, Philipp A Loehrer, Marina C Ruppert-Junck, Christopher Nimsky, Lars Timmermann, Miriam H A Bopp, David J Pedrosa

Abstract read
In one paragraph

Article in Acta neurochirurgica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Alexander CalvanoDepartment of Neurology, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany. alexander.calvano@staff.uni-marburg.de.
Yiming XiaoDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Québec, Canada.
Kenan SteidelDepartment of Neurology, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany.
Philipp A LoehrerDepartment of Neurology, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany.
Marina C Ruppert-JunckDepartment of Neurology, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany.
Christopher NimskyCentre of Mind, Brain and Behaviour, Philipps-University Marburg, Marburg, Germany.
Lars TimmermannDepartment of Neurology, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany.
Miriam H A BoppCentre of Mind, Brain and Behaviour, Philipps-University Marburg, Marburg, Germany.
David J PedrosaDepartment of Neurology, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccurate segmentation of the subthalamic nucleus (STN) is paramount for optimising outcomes under deep brain stimulation (DBS) in Parkinson's disease (PD). Clinically available tools like Brainlab Elements (BL-E) enable automated segmentations for surgical planning, yet their spatial relationship with postoperative volumes of tissue activated (VTAs) remains insufficiently characterised. Using multi-atlas segmentation (MAS) as an external anatomical reference, we compared the spatial correspondence of STN segmentations derived from BL-E with effective VTAs following monopolar contact review.

methodsWe analysed imaging data from 40 PD patients with chronic STN-DBS. Segmentations were obtained using BL-E based on T1w and T2w scans and MAS derived from a library of 20 manually segmented midbrain nuclei atlases. Spatial correspondence was assessed using Dice Coefficients, Jaccard Indices, and Euclidean centroid distances. Distances between VTA centroids and clinically established settings for STN-DBS were calculated to evaluate targeting consistency. Statistical differences between metrics were assessed using Wilcoxon signed-rank tests.

resultsBL-E segmentations demonstrated superior spatial correspondence with VTAs compared to MAS, with smaller Euclidean distances between centroids (p < 0.001). Dice Coefficients and Jaccard Indices showed no significant differences (p = 0.18). VTA centroid distances to the most efficient stimulation location were consistent across hemispheres (left: 2.54 mm [1.92-3.25]; right: 2.87 mm [1.85-3.82]) MAS targets were positioned more inferiorly and anteriorly compared to BL-E targets.

conclusionClinically applied VTAs showed good spatial correspondence with planning segmentations, suggesting within-workflow reproducibility but not superior correspondence to anatomical ground truth per se. Future studies should incorporate connectomic information to more accurately reflect the functional relevance of stimulation and its therapeutic effects.

Indexed as

Deep Brain StimulationParkinson DiseaseSubthalamic NucleusAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedDeep brain stimulationLabel fusionMovement disordersParkinson’s diseaseSubthalamic nucleus

Identifiers

PMID42225900
PMCPMC13230244

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.