Evidence map›Paper›PMID 41740214›Full record

ArticleNeuroImage. Clinical2026

Test-retest reliability of resting-state functional magnetic resonance imaging during deep brain stimulation for Parkinson's disease.

Skyler Deutsch, Juhi Mehta, Lee B Reid, Andrea Fuentes, Sarah Wang, John Kornak, Philip A Starr, Jill L Ostrem, Doris D Wang, Ian O Bledsoe and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2026. 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

11 authors.

Skyler DeutschDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Juhi MehtaDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Lee B ReidDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Andrea FuentesDepartment of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA.
Sarah WangDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
John KornakDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Philip A StarrDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Jill L OstremDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Doris D WangDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
Ian O BledsoeDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Melanie A MorrisonDepartment of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, USA. Electronic address: melanie.morrison@ucsf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients implanted with modern deep brain stimulation (DBS) hardware can now undergo functional magnetic resonance imaging (fMRI), leading to its increased used to study DBS' mechanisms and predict optimal therapy settings. To accurately interpret fMRI data and realize its clinical potential for DBS, a better understanding of reliability is needed.

methodsSixteen patients with Parkinson's disease (PD) and DBS targeting the subthalamic nucleus or pallidum underwent 3T test-retest resting-state fMRI with and without concurrent stimulation. Effects of stimulation and device-metal artifacts on reliability of fMRI brain connectivity and moment-to-moment brain variability were explored, plus factors influencing between-subject variations in reliability such as motion.

resultsThe brain variability fMRI metric yielded higher intra-class correlation coefficients than the connectivity metric (range across whole brain, motor, limbic, and cognitive networks: 0.36-0.85 and 0.68-0.99, respectively). Average network connectivity appeared less reproducible when DBS was ON versus OFF during fMRI, and fMRI metric reliability for brain areas affected by metal artifacts was significantly higher (brain variability) or lower (connectivity) than unaffected areas (p

conclusionDBS hardware and active stimulation may alter fMRI reliability. To develop clinically useful fMRI biomarkers for DBS and aid assessments of reproducibility across studies, the reliability of single study results need reporting.

Indexed as

BrainDeep Brain StimulationMagnetic Resonance ImagingParkinson DiseaseAgedBrain MappingFemaleHumansMaleMiddle AgedReproducibility of ResultsRestSubthalamic NucleusDeep brain stimulationFunctional magnetic resonance imagingMetal artifactOpen-sourceParkinson's diseaseTest-retest reliability

Identifiers

PMID41740214
PMCPMC12955080

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.