Evidence map›Paper›PMID 39825282›Full record

ArticleBMC neurology2025

Changes in sensor recorded activity patterns and neuropsychiatric symptoms after deep brain stimulation for Parkinson's disease: 5 case reports.

Lena C Bruhin, Michael Single, Aileen C Naef, Katrin Petermann, Mario Sousa, Matilde Castelli, Ines Debove, Marie E Maradan-Gachet, Andreia D Magalhães, Andreas A Diamantaras and 9 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

19 authors.

Lena C BruhinARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Michael SingleARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Aileen C NaefARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Katrin PetermannDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Mario SousaDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Matilde CastelliARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Ines DeboveDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Marie E Maradan-GachetDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Andreia D MagalhãesDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Andreas A DiamantarasDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
M Lenard LachenmayerDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Gerd TinkhauserDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Julia WaskönigDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Christopher M El AchkarCentre Suisse d'Electronique et de Microtechnique, Neuchâtel, Switzerland.
Alia LemkaddemCentre Suisse d'Electronique et de Microtechnique, Neuchâtel, Switzerland.
Mathieu LemayCentre Suisse d'Electronique et de Microtechnique, Neuchâtel, Switzerland.
Paul KrackDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Tobias NefARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Deborah AmstutzDepartment of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland. deborah.amstutz@insel.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffects of subthalamic nucleus deep brain stimulation (STN-DBS) on neuropsychiatric symptoms of Parkinson's disease (PD) remain debated. Sensor technology might help to objectively assess behavioural changes after STN-DBS. CASE PRESENTATION: 5 PD patients were assessed 1 before and 5 months after STN-DBS with the Movement Disorders Society Unified Parkinson's Disease Rating Scale part III in the medication ON (plus postoperatively stimulation ON) condition, the Montreal Cognitive Assessment, the Questionnaire for Impulsive-Compulsive Behaviors in Parkinson's Disease Rating Scale present version, the Hospital Anxiety and Depression Scale and the Starkstein Apathy Scale. Steps taken per hour, nighttime spent in bed and time spent outside were monitored with a smartwatch and ambient sensors placed in patient homes for an average of 20 days pre- and postoperatively. Postoperative improvement in ICDs and concomitant anxious-depressive symptoms was observed in 3 patients and was accompanied by a decrease in steps taken per hour, as well as an increase in nighttime spent in bed. In the two patients without baseline ICDs, mild anxiety and apathy improved postoperatively, and no new neuropsychiatric symptoms occurred. Steps taken per hour did not decrease in these cases and nighttime spent in bed improved in one of the patients, but decreased in the other, who had experienced pain during OFF-phases at night before STN-DBS.

conclusionChanges in neuropsychiatric symptoms are associated with distinct activity patterns after STN-DBS, and wearable and ambient sensors may aid to capture those gradual shifts in behavior.

Indexed as

Deep Brain StimulationParkinson DiseaseAgedFemaleHumansMaleMiddle AgedSubthalamic NucleusDeep brain stimulationNeuropsychiatric symptomsObjective assessmentParkinson’s diseaseSensor technology

Identifiers

PMID39825282
PMCPMC11740435

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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.