Evidence map›Paper›PMID 36993945›Full record

ArticleBrain communications2023

Real-life ankle submovements and computer mouse use reflect patient-reported function in adult ataxias.

Nicole M Eklund, Jessey Ouillon, Vineet Pandey, Christopher D Stephen, Jeremy D Schmahmann, Jeremy Edgerton, Krzysztof Z Gajos, Anoopum S Gupta

Open access · goldFull text read
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. Contrastive Learning Model for Wearable-Based Ataxia Assessment.IEEE transactions on bio-medical engineering · 2026
    Article
  7. Review
  8. Article
  9. Digital Outcomes of Upper Limb Ataxia Capture Meaningful Longitudinal Change and Treatment Response.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Biomarkers in Spinocerebellar Ataxias.Cerebellum (London, England) · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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

8 authors at 2 institutions in 1 country.

Nicole M EklundDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Jessey OuillonDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Vineet PandeySchool of Engineering and Applied Sciences, Harvard University, Allston, MA 02138, USA.
Christopher D StephenDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0002-4727-192X
Jeremy D SchmahmannDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0003-0706-5125
Jeremy EdgertonBiogen Digital Health, Cambridge, MA 02142, USA.
Krzysztof Z GajosSchool of Engineering and Applied Sciences, Harvard University, Allston, MA 02138, USA.
Anoopum S GuptaDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Harvard University · USBiogen (United States) · US

Funding

A Computational Approach for Quantifying Motor Behaviors in Spinocerebellar Ataxias to Improve Early Detection of Motor Signs and Precisely Estimate Disease Severity and Disease ChangeR01NS117826 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GUPTA, ANOOPUM SATYAWAN · 2021 to 2025
$2.7M
NINDS NIH HHS R01 NS117826
6 · The paper itself

Abstract

Novel disease-modifying therapies are being evaluated in spinocerebellar ataxias and multiple system atrophy. Clinician-performed disease rating scales are relatively insensitive for measuring disease change over time, resulting in large and long clinical trials. We tested the hypothesis that sensors worn continuously at home during natural behaviour and a web-based computer mouse task performed at home could produce interpretable, meaningful and reliable motor measures for potential use in clinical trials. Thirty-four individuals with degenerative ataxias (spinocerebellar ataxia types 1, 2, 3 and 6 and multiple system atrophy of the cerebellar type) and eight age-matched controls completed the cross-sectional study. Participants wore an ankle and wrist sensor continuously at home for 1 week and completed the Hevelius computer mouse task eight times over 4 weeks. We examined properties of motor primitives called 'submovements' derived from the continuous wearable sensors and properties of computer mouse clicks and trajectories in relationship to patient-reported measures of function (Patient-Reported Outcome Measure of Ataxia) and ataxia rating scales (Scale for the Assessment and Rating of Ataxia and the Brief Ataxia Rating Scale). The test-retest reliability of digital measures and differences between ataxia and control participants were evaluated. Individuals with ataxia had smaller, slower and less powerful ankle submovements during natural behaviour at home. A composite measure based on ankle submovements strongly correlated with ataxia rating scale scores (Pearson's

Indexed as

biomarkersmultiple system atrophyoutcome measuresspinocerebellar ataxiawearable devices

Identifiers

PMID36993945
PMCPMC10042315
OpenAlexW4360752087

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read9
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 Socratic graph.