Evidence map›Paper›PMID 40878904›Full record

ArticleMovement disorders clinical practice2026

Adaptive Deep Brain Stimulation Benefits: Younger Patients with Persistent Wearing-off Symptoms.

Takuto Emura, Naoki Tani, Koichi Hosomi, Yuki Kimoto, Takahiro Matsuhashi, Takahiro Fujinaga, Shimpei Miura, Yuya Fujita, Nobuhiko Mori, Hui Ming Khoo and 2 more

Abstract read
In one paragraph

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Adaptive Deep Brain Stimulation for Parkinson's Disease: Navigating the Roadblocks to Clinical Implementation.Movement disorders : official journal of the Movement Disorder Society · 2026
    Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Takuto EmuraDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0009-0001-7152-435X
Naoki TaniDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0003-2169-135X
Koichi HosomiDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0001-7731-3302
Yuki KimotoDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0009-0003-2328-1108
Takahiro MatsuhashiDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-8630-478X
Takahiro FujinagaDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0009-0001-1754-2063
Shimpei MiuraDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0009-0007-3142-8455
Yuya FujitaDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0001-8155-6040
Nobuhiko MoriDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0001-6537-6322
Hui Ming KhooDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-4039-0520
Satoru OshinoDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-4248-2322
Haruhiko KishimaDepartment of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-9041-2337

Funding

JSPS KAKENHI JP23K08519JST FOREST Program JPMJFR205F
6 · The paper itself

Abstract

backgroundParkinson's disease (PD) often involves motor fluctuations and dyskinesia, which are difficult to manage with medication alone. Conventional deep brain stimulation (cDBS) effectively alleviates symptoms but has limitations, including the challenge of balancing therapeutic effects against potential side effects, as well as limited battery life. To address these issues, adaptive DBS (aDBS) systems, which dynamically adjust stimulation parameters based on real-time physiological feedback, have attracted growing interest.

objectivesThe aim of this study was to assess the efficacy, tolerability, and safety of aDBS in patients with advanced PD over a 1-year period, using the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and Parkinson's Disease Questionnaire-39 (PDQ-39).

methodsThis prospective, single-arm study involved 19 patients who transitioned from cDBS to aDBS. Baseline assessments were conducted under cDBS, and patients were re-evaluated 1 year after switching to aDBS.

resultsSixteen patients completed 1 year of aDBS. Significant improvements in motor function, as measured by MDS-UPDRS Part III scores in the medication-off/stimulation-on condition, were observed. Patients with severe baseline wearing-off showed greater reductions in motor fluctuation (MDS-UPDRS Part IV) scores. Younger patients showed better quality of life (PDQ-39) and activity of daily living (MDS-UPDRS Part II) scores, though overall changes were not statistically significant.

conclusionsaDBS shows promise in managing motor symptoms in PD, particularly in patients with pronounced wearing-off and younger patients, by dynamically adjusting stimulation parameters. Although further optimization and long-term studies are necessary, these findings underscore the potential of aDBS to offer personalized treatment options for advanced PD.

Indexed as

Deep Brain StimulationParkinson DiseaseAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSeverity of Illness IndexTreatment Outcomeadaptive deep brain stimulationbeta oscillationclosed‐loop systemlocal filed potentialParkinson's disease

Identifiers

PMID40878904
PMCPMC12911460

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Registered trials

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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.