Evidence map›Paper›PMID 42374617›Full record

ArticleMovement disorders clinical practice2026

7 T MRI Connectivity-Guided Reprogramming Improves Deep Brain Stimulation Motor Outcome in Parkinson's Disease.

Yarit Wiggerts, Annabel van der Weide, Rick Schuurman, Pepijn van den Munckhof, Rob Ma de Bie, Martijn Beudel, Maarten Bot

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Article in Movement disorders clinical practice, 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yarit WiggertsDepartment of Neurosurgery, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-8641-3639
Annabel van der WeideDepartment of Neurology, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.
Rick SchuurmanDepartment of Neurosurgery, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.
Pepijn van den MunckhofDepartment of Neurosurgery, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.
Rob Ma de BieDepartment of Neurology, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-5267-0784
Martijn BeudelDepartment of Neurology, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-2488-7051
Maarten BotDepartment of Neurosurgery, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep brain stimulation (DBS) of the subthalamic nucleus (STN) is an established treatment for Parkinson's disease (PD). Using 7-Tesla (7 T) MRI connectivity analysis to visualize the patient-specific STN motor subdivision, we hypothesize that reprogramming patients who are stimulated outside of this subdivision can improve their motor outcome substantially, without occurrence of adverse effects.

objectivesTo determine whether connectivity-guided reprogramming improves motor outcome in PD patients treated with STN-DBS.

methodsPatients who underwent STN-DBS with 7 T MRI probabilistic tractography (2022-2024) were evaluated after standardized follow-up. Their volume of tissue activated (VTA) was visualized with clinical guided programming. Patients were reprogrammed if their VTA did not overlap with the connectivity-defined STN motor subdivision. Follow-up outcome was assessed using the Movement Disorders Society Unified Parkinson's Disease Rating Scale motor part (MDS-UPDRS III; OFF medication, ON stimulation state) and hours OFF per day (MDS-UPDRS IV).

resultsTwelve patients were included, of whom nine were reprogrammed. Mean MDS-UPDRS III score after classic programming improved by 16 ± 27% compared to baseline (48 ± 14 to 40 ± 13), and improved significantly further to 42 ± 26% after connectivity-guided reprogramming (28 ± 8; p = 0.005). Furthermore, OFF time after classic programming decreased from 5 ± 3 h at baseline to 3 ± 2 h, and decreased further to 2 ± 2 h after reprogramming. No stimulation-induced adverse effects were reported after parameter adjustments.

conclusions7 T MRI connectivity-guided (re)programming of STN-DBS can provide substantial improvement in motor outcome in PD patients and reduce OFF time, without occurrence of side-effects. Furthermore, response rate to DBS increases, enhancing overall DBS effectiveness in PD.

Indexed as

connectivitydeep brain stimulationmagnetic resonance imagingParkinson's diseasesubthalamic nucleus

Identifiers

PMID42374617
PMCPMC13339350

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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.