ArticleScientific reports2022
Developing and assessing a new web-based tapping test for measuring distal movement in Parkinson's disease: a Distal Finger Tapping test.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 19 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.
The Use of the CUE1/CUE1+ Device in People With Idiopathic Parkinson's Disease and Related Disorders: A Feasibility Study
MOTOR-NF - a Randomized Controlled Trial of FMRI-based Neurofeedback for Motor Symptoms of Parkinson's Disease
Who cites it
19 citing papers in PubMed, 43 citations in OpenAlex.
- Sternum-worn vibrotactile device in Parkinson's disease: a randomised, double-blind, placebo-controlled pilot trial.NPJ Parkinson's disease · 2026Article
- Older Adult Movement Assessment Through Rehabilitation Software for Upper Limb Exoskeleton.Sensors (Basel, Switzerland) · 2026Article
- PREDICT-PD: A Two-Stage Approach to Early Identification of Parkinson's Disease.Movement disorders clinical practice · 2026Article
- Associations Between Smartphone-Based Finger Tapping and Cognitive Performance in Older Adults: Observational Study.Journal of medical Internet research · 2026Observational
- The East London Parkinson's disease project - a case-control study of Parkinson's Disease in a diverse population.NPJ Parkinson's disease · 2025Article
- Detecting mild cognitive impairment by applying integrated random forest to finger tapping.Medical & biological engineering & computing · 2025Article
- Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping.Scientific reports · 2025Observational
- Article
- Diagnosing Parkinson's disease via behavioral biometrics of keystroke dynamics.Science advances · 2025Article
- Dataset of Smartphone-Based Finger Tapping Test.Scientific data · 2024Article
- An Overall Automated Architecture Based on the Tapping Test Measurement Protocol: Hand Dexterity Assessment through an Innovative Objective Method.Sensors (Basel, Switzerland) · 2024Article
- Tuning attention based long-short term memory neural networks for Parkinson's disease detection using modified metaheuristics.Scientific reports · 2024Article
- "Self-care selfies": Patient-uploaded videos capture meaningful changes in dexterity over 6 months.Annals of clinical and translational neurology · 2023Article
- The role of sex and handedness in the performance of the smartphone-based Finger-Tapping Test.PLOS digital health · 2023Article
- A smartphone-based tapping task as a marker of medication response in Parkinson's disease: a proof of concept study.Journal of neural transmission (Vienna, Austria : 1996) · 2023Article
- A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data.Sensors (Basel, Switzerland) · 2023Article
- A Placebo-Controlled Study to Assess the Sensitivity of Finger Tapping to Medication Effects in Parkinson's Disease.Movement disorders clinical practice · 2022Article
- Remote Assessments of Hand Function in Neurological Disorders: Systematic Review.JMIR rehabilitation and assistive technologies · 2022Review
- Video-Based Automated Assessment of Movement Parameters Consistent with MDS-UPDRS III in Parkinson's Disease.Journal of Parkinson's disease · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disability in Parkinson's disease (PD) is measured by standardised scales including the MDS-UPDRS, which are subject to high inter and intra-rater variability and fail to capture subtle motor impairment. The BRadykinesia Akinesia INcoordination (BRAIN) test is a validated keyboard tapping test, evaluating proximal upper-limb motor impairment. Here, a new Distal Finger Tapping (DFT) test was developed to assess distal upper-limb function. Kinetic parameters of the test include kinesia score (KS20, key taps over 20 s), akinesia time (AT20, mean dwell-time on each key) and incoordination score (IS20, variance of travelling time between key taps). To develop and evaluate a new keyboard-tapping test for objective and remote distal motor function in PD patients. The DFT and BRAIN tests were assessed in 55 PD patients and 65 controls. Test scores were compared between groups and correlated with the MDS-UPDRS-III finger tapping sub-scores. Nine additional PD patients were recruited for monitoring motor fluctuations. All three parameters discriminated effectively between PD patients and controls, with KS20 performing best, yielding 79% sensitivity for 85% specificity; area under the receiver operating characteristic curve (AUC) = 0.90. A combination of DFT and BRAIN tests improved discrimination (AUC = 0.95). Among three parameters, KS20 showed a moderate correlation with the MDS-UPDRS finger-tapping sub-score (Pearson's r = - 0.40, p = 0.002). Further, the DFT test detected subtle changes in motor fluctuation states which were not reflected clearly by the MDS-UPDRS-III finger tapping sub-scores. The DFT test is an online tool for assessing distal movements in PD, with future scope for longitudinal monitoring of motor complications.
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Registered trials
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.