Evidence map›Paper›PMID 41845252›Full record

ArticleBMC neurology2026

Slow motion videography in Parkinson's disease: unraveling masked phenomenology.

Gurusidheshwar M Wali, Gautam Wali

Abstract readCase Reports
In one paragraph

Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Gurusidheshwar M WaliNeurospecialities centre, Belagavi, Karnataka, India. walidoc@hotmail.com.
Gautam WaliNeurospecialities centre, Belagavi, Karnataka, India. g.wali@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Slow motion (SM) videography provides a novel approach to documenting and understanding movement disorders by revealing subtle phenomenological features not easily captured at normal speed. While widely used in sports and wildlife analysis, its application in clinical neurology remains limited. We present a case series of four patients with Parkinson’s disease in whom SM videography uncovered unique motor signatures. Case 1 revealed the “Scoop Sign” of hand tremor, highlighting wrist and forearm rotational components. Case 2 demonstrated incessant progressive micrographia, a distinctive writing pattern of gradual diminution and incessant continuation, atypical for PD. Case 3 illustrated the “Fulcrum Sign” in freezing of gait, where one foot acted as a pivot. Case 4 depicted the “Octopus Sign” in levodopa-induced dyskinesia. These cases highlight the utility of smartphone-based SM videography as an accessible, cost-effective clinical tool to unravel masked PD phenomenology, enhance bedside observation, and improve recognition of subtle motor patterns.

Indexed as

Parkinson DiseaseVideo RecordingHumansParkinson’s diseaseSlow motion videos

Identifiers

PMID41845252
PMCPMC13107905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.