Computer mouse use captures ataxia and parkinsonism, enabling accurate measurement and detection

• Published in: Movement disorders Vol. 35; no. 2; pp. 354 - 358
• Main Authors: Gajos, Krzysztof Z., Reinecke, Katharina, Donovan, Mary, Stephen, Christopher D., Hung, Albert Y., Schmahmann, Jeremy D., Gupta, Anoopum S.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.02.2020; Wiley Subscription Services, Inc
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Ataxia; Ataxia - diagnosis; Ataxia - physiopathology; Basal ganglia; Brain diseases; Brief Report; Brief Reports; Central nervous system diseases; Child; Child, Preschool; Clinical trials; Computers; Disease Progression; Female; Hevelius; Humans; Learning algorithms; machine learning; Male; Middle Aged; Movement disorders; outcome measures; Parkinson Disease - diagnosis; Parkinson Disease - drug therapy; Parkinsonian Disorders - diagnosis; Parkinsonian Disorders - drug therapy; parkinsonism; Phenotypes; Young Adult; clinical trials; ataxia; parkinsonism; machine learning; outcome measures

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‐...