ArticleJournal of neurology2025
Handwriting, touchscreen dexterity and bradykinesia measures in Parkinson's disease: a feature selection study.
Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
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Who cites it
4 citing papers in PubMed.
- Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson's Disease Screening and Diagnostic Support.Neurology and therapy · 2026Article
- Reliability and convergent validity of the 6-minute pegboard and ring test in people with Parkinson's disease: a cross-sectional study.Acta neurologica Belgica · 2026Article
- From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.Translational neurodegeneration · 2026Review
- Construct validity, intrarater and interrater reliability of the Italian version of the systematic screening of handwriting difficulties (SOS) test in people with Parkinson's disease.Journal of neurology · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
introductionBradykinesia affects handwriting and smartphone usage in patients with Parkinson's disease (pwPD).
objectiveTo assess handwriting, hand dexterity, smartphone usage, and bradykinesia in pwPD and identify features that best describe upper-limb alterations in pwPD.
methodsForty pwPD and 30 age/sex-matched healthy controls were included. We used standard handwriting/dexterity tests: Manual-Ability-Measure-36, Purdue-Pegboard-Test (PPT) and copy of a text on paper. Spatiotemporal handwriting parameters were assessed using tests on a tablet: copy of text and pre-writing tasks. To obtain objective data on movement speed and amplitude on the smartphone, we developed tests involving the most commonly used gestures (tap, swipe, and slide). Bradykinesia during a finger-tapping task was evaluated using electromagnetic sensors. Sequential feature selection models were used to identify the parameters best distinguishing pwPD and healthy controls.
resultsPwPD relative to healthy controls showed reduced manual ability and dexterity. They showed reduced movement amplitude and speed in smartphone tests and signs of micrographia during handwriting tests. Moreover, kinematic parameters correlated with both PPT and Movement Disorder Society-Unified Parkinson's Disease Rating Scale III. Each feature selection model demonstrated a good accuracy, particularly when including standard handwriting/dexterity tests (R
conclusionsThis study showed that technological assessments can be added to standard evaluations to provide quantitative measures of handwriting, dexterity, and bradykinesia that will be useful to assess PD progression and the effects of interventions in pwPD.
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Registered trials
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