Computer Mouse Use Captures Ataxia and Parkinsonism, Enabling Accurate Measurement and Detection
| Autor: | Mary Donovan, Krzysztof Z. Gajos, Christopher D. Stephen, Jeremy D. Schmahmann, Anoopum S. Gupta, Katharina Reinecke, Albert Y. Hung |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male 0301 basic medicine medicine.medical_specialty Ataxia Movement disorders Adolescent Disease Young Adult outcome measures 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Parkinsonian Disorders medicine Humans Child parkinsonism Aged Aged 80 and over clinical trials Computers business.industry Brief Report Parkinsonism ataxia Outcome measures Parkinson Disease Middle Aged medicine.disease Clinical trial machine learning 030104 developmental biology Neurology Child Preschool Disease Progression Female Brief Reports Neurology (clinical) medicine.symptom Computer mouse Brief Ataxia Rating Scale business 030217 neurology & neurosurgery |
| Zdroj: | Movement Disorders |
| ISSN: | 1531-8257 0885-3185 |
| DOI: | 10.1002/mds.27915 |
| Popis: | Background Objective assessments of movement impairment are needed to support clinical trials and facilitate diagnosis. The objective of the current study was to determine if a rapid web‐based computer mouse test (Hevelius) could detect and accurately measure ataxia and parkinsonism. Methods Ninety‐five ataxia, 46 parkinsonism, and 29 control participants and 229,017 online participants completed Hevelius. We trained machine‐learning models on age‐normalized Hevelius features to (1) measure severity and disease progression and (2) distinguish phenotypes from controls and from each other. Results Regression model estimates correlated strongly with clinical scores (from r = 0.66 for UPDRS dominant arm total to r = 0.83 for the Brief Ataxia Rating Scale). A disease change model identified ataxia progression with high sensitivity. Classification models distinguished ataxia or parkinsonism from healthy controls with high sensitivity (≥0.91) and specificity (≥0.90). Conclusions Hevelius produces a granular and accurate motor assessment in a few minutes of mouse use and may be useful as an outcome measure and screening tool. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society. |
| Databáze: | OpenAIRE |
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