Evidence map›Paper›PMID 35294727›Full record

ArticleCerebellum (London, England)2023

Real-life Wrist Movement Patterns Capture Motor Impairment in Individuals with Ataxia-Telangiectasia.

Anoopum S Gupta, Anna C Luddy, Nergis C Khan, Sara Reiling, Jennifer Karlin Thornton

Open access · bronzeAbstract read
In one paragraph

Article in Cerebellum (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Contrastive Learning Model for Wearable-Based Ataxia Assessment.IEEE transactions on bio-medical engineering · 2026
    Article
  6. Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation Strategies.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  7. Digital Outcomes of Upper Limb Ataxia Capture Meaningful Longitudinal Change and Treatment Response.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  8. Article
  9. Article
  10. Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025
    Review
  11. Article
  12. Review
  13. Sensitive Quantification of Cerebellar Speech Abnormalities Using Deep Learning Models.IEEE access : practical innovations, open solutions · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

5 authors at 1 institution in 1 country.

Anoopum S GuptaDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, 100 Cambridge St, Boston, MA, USA. agupta@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-8741-0621
Anna C LuddyDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, 100 Cambridge St, Boston, MA, USA.
Nergis C KhanDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, 100 Cambridge St, Boston, MA, USA.
Sara ReilingAtaxia Telangiectasia Children's Project, Coconut Creek, FL, USA.
Jennifer Karlin ThorntonAtaxia Telangiectasia Children's Project, Coconut Creek, FL, USA.
Harvard University · 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

Sensitive motor outcome measures are needed to efficiently evaluate novel therapies for neurodegenerative diseases. Devices that can passively collect movement data in the home setting can provide continuous and ecologically valid measures of motor function. We tested the hypothesis that movement patterns extracted from continuous wrist accelerometer data capture motor impairment and disease progression in ataxia-telangiectasia. One week of continuous wrist accelerometer data were collected from 31 individuals with ataxia-telangiectasia and 27 controls aged 2-20 years old. Longitudinal wrist sensor data were collected in 14 ataxia-telangiectasia participants and 13 controls. A novel algorithm was developed to extract wrist submovements from the velocity time series. Wrist sensor features were compared with caregiver-reported motor function on the Caregiver Priorities and Child Health Index of Life with Disabilities survey and ataxia severity on the neurologist-performed Brief Ataxia Rating Scale. Submovements became smaller, slower, and less variable in ataxia-telangiectasia compared to controls. High-frequency oscillations in submovements were increased, and more variable and low-frequency oscillations were decreased and less variable in ataxia-telangiectasia. Wrist movement features correlated strongly with ataxia severity and caregiver-reported function, demonstrated high reliability, and showed significant progression over a 1-year interval. These results show that passive wrist sensor data produces interpretable and reliable measures that are sensitive to disease change, supporting their potential as ecologically valid motor biomarkers. The ability to obtain these measures from a low-cost sensor that is ubiquitous in smartwatches could help facilitate neurological care and participation in research regardless of geography and socioeconomic status.

Indexed as

Ataxia TelangiectasiaCerebellar AtaxiaMotor DisordersAdolescentAdultAtaxiaChildChild, PreschoolHumansReproducibility of ResultsWristYoung AdultAtaxia-telangiectasiaBiomarkersOutcome measuresWearable devices

Identifiers

PMID35294727
PMCPMC8926103
OpenAlexW4221035402

What Socratic holds

Textmetadata
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.