Kinetic–rest tremor dominance for differentiating dystonic tremor from Parkinson's disease

BackgroundDifferentiating dystonic tremor (DT) from Parkinson's disease (PD) remains challenging, particularly when dystonic signs are subtle, and DT is a major contributor to scans without evidence of dopaminergic deficit. Although dopamine transporter imaging can support the distinction, it is costly and not universally accessible. Simple diagnostic indicators less reliant on subjective clinical interpretation are needed.MethodsIn a dopamine transporter imaging-supported cohort (n = 102; DT, 51; PD, 51), we used accelerometry to characterize ordinal patterns of tremor amplitude across rest, postural, and kinetic (spiral drawing) conditions. Candidate ordinal rules were evaluated, and the rule with the highest classification accuracy was selected for subsequent blinded visual assessment by three raters within the same cohort.ResultsAccelerometry showed greater kinetic tremor amplitude in DT and greater rest tremor amplitude in PD, whereas postural tremor amplitude did not differ significantly between groups. Among candidate ordinal rules, the pairwise comparison of kinetic versus rest tremor amplitude achieved the highest overall diagnostic performance for identifying DT (90% sensitivity, 85% specificity, 88% accuracy). Blinded visual classification of this rule showed excellent inter-rater agreement (Fleiss' κ = 0.92), high concordance with accelerometer-based classification (Cohen's κ = 0.86), and 90% sensitivity, 88% specificity, and 89% accuracy.ConclusionsA simple visual comparison of tremor amplitude during spiral drawing versus at rest required no specialized equipment and showed high reproducibility in blinded ratings. Although probabilistic and requiring validation in independent cohorts, this approach may serve as a practical bedside adjunct for distinguishing DT from PD.

Authors

Institutions

Publication Details

Journal
Journal of Parkinson s Disease
Published
2026-08-25
DOI
https://doi.org/10.1177/1877718x261470294
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kinetic–rest tremor dominance for differentiating dystonic tremor from Parkinson's disease

Kenshiro Fuse, Miki Hashida, Yoshiki Ito, Keita Hiraga et al.
Journal of Parkinson s Disease
Neurological disorders and treatments
article

Kinetic–rest tremor dominance for differentiating dystonic tremor from Parkinson's disease

Kenshiro Fuse, Miki Hashida, Yoshiki Ito, Keita Hiraga, Takashi Tsuboi, Daigo Tamakoshi, Taiki Fukushima, Ryuta Saito, Adolfo Ramirez–Zamora, Satoshi Maesawa, Masahisa Katsuno, Michael S. Okun, Takahiko Tsugawa, Tomotaka Ishizaki, Takashi Uematsu, Keito Sawada, Moeka Higuchi, Christopher W Hess, Yuki Saito, Masashi Suzuki
article en

Abstract

BackgroundDifferentiating dystonic tremor (DT) from Parkinson's disease (PD) remains challenging, particularly when dystonic signs are subtle, and DT is a major contributor to scans without evidence of dopaminergic deficit. Although dopamine transporter imaging can support the distinction, it is costly and not universally accessible. Simple diagnostic indicators less reliant on subjective clinical interpretation are needed.MethodsIn a dopamine transporter imaging-supported cohort (n = 102; DT, 51; PD, 51), we used accelerometry to characterize ordinal patterns of tremor amplitude across rest, postural, and kinetic (spiral drawing) conditions. Candidate ordinal rules were evaluated, and the rule with the highest classification accuracy was selected for subsequent blinded visual assessment by three raters within the same cohort.ResultsAccelerometry showed greater kinetic tremor amplitude in DT and greater rest tremor amplitude in PD, whereas postural tremor amplitude did not differ significantly between groups. Among candidate ordinal rules, the pairwise comparison of kinetic versus rest tremor amplitude achieved the highest overall diagnostic performance for identifying DT (90% sensitivity, 85% specificity, 88% accuracy). Blinded visual classification of this rule showed excellent inter-rater agreement (Fleiss' κ = 0.92), high concordance with accelerometer-based classification (Cohen's κ = 0.86), and 90% sensitivity, 88% specificity, and 89% accuracy.ConclusionsA simple visual comparison of tremor amplitude during spiral drawing versus at rest required no specialized equipment and showed high reproducibility in blinded ratings. Although probabilistic and requiring validation in independent cohorts, this approach may serve as a practical bedside adjunct for distinguishing DT from PD.

Journal of Parkinson s Disease
University of Florida (US), Nagoya University Hospital (JP), Hiroshima Kyoritsu Hospital (JP), National Hospital Organization (JP), University of Louisville Hospital (US), Nagoya Medical Center (JP), Nagoya University (JP)
Japan Agency for Medical Research and Development, Japan Society for the Promotion of Science
Openalex Percentile: Top 11%
Neurological disorders and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.