Literature DB >> 36269527

Quantification of Upper Limb Movements in Patients with Hereditary or Idiopathic Ataxia.

Joonas Lipponen1,2,3, Aleksei Tiulpin4,5,6, Kari Majamaa7,8,9, Harri Rusanen7,8,9.   

Abstract

Assessment of ataxic movements is usually based on clinical judgment. Technical devices can be employed in the quantification of ataxic movements in addition to clinical evaluation. The effect of maximal speed in upper limb movements in ataxia patients has not been quantified. The aim was to quantify upper limb movements in patients with hereditary or idiopathic ataxia and to find features of movement that are characteristic for ataxia. We examined 19 patients with degenerative ataxia and 21 healthy controls. An ad hoc system comprising a touch screen, an accelerometer, and a gyroscope was used to measure speed, angular acceleration, consistency, and accuracy of upper limb movements. The movements were quantified during finger-to-nose test that the patients were asked to perform at their own pace and as fast as possible. Disease severity was estimated by using the Scale for the Assessment and Rating of Ataxia (SARA). The mean SARA score of the patients was 13.5. Compared to the controls the performance of the patients was slow (p < 0.001) and arrhythmic (p < 0.001), but end-point accuracy on the touch screen was intact. The SARA score correlated with the standard deviation of amplitude of angular acceleration in Z-axis (F(1,17) = 15.00, p < 0.001 with R2 = 0.47). Upper limb movements of the patients with degenerative ataxia were slower and more arrhythmic than those in the controls. The patients retained spatial end-point accuracy.
© 2022. The Author(s).

Entities:  

Keywords:  Accelerometer; Ataxia; Clinical scale; Quantification

Year:  2022        PMID: 36269527     DOI: 10.1007/s12311-022-01485-2

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.648


  22 in total

Review 1.  Consensus paper: roles of the cerebellum in motor control--the diversity of ideas on cerebellar involvement in movement.

Authors:  Mario Manto; James M Bower; Adriana Bastos Conforto; José M Delgado-García; Suzete Nascimento Farias da Guarda; Marcus Gerwig; Christophe Habas; Nobuhiro Hagura; Richard B Ivry; Peter Mariën; Marco Molinari; Eiichi Naito; Dennis A Nowak; Nordeyn Oulad Ben Taib; Denis Pelisson; Claudia D Tesche; Caroline Tilikete; Dagmar Timmann
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

2.  Computer-based assessment of upper-limb incoordination in autosomal recessive spastic ataxia of Charlevoix-Saguenay patients: A pilot study.

Authors:  Hung Tien Bui; Olivier Audet; Jean Mathieu; Cynthia Gagnon; Mario Leone
Journal:  J Neurol Sci       Date:  2017-07-09       Impact factor: 3.181

3.  Scale for the assessment and rating of ataxia: development of a new clinical scale.

Authors:  T Schmitz-Hübsch; S Tezenas du Montcel; L Baliko; J Berciano; S Boesch; C Depondt; P Giunti; C Globas; J Infante; J-S Kang; B Kremer; C Mariotti; B Melegh; M Pandolfo; M Rakowicz; P Ribai; R Rola; L Schöls; S Szymanski; B P van de Warrenburg; A Dürr; T Klockgether; Roberto Fancellu
Journal:  Neurology       Date:  2006-06-13       Impact factor: 9.910

4.  Influence of vision on upper limb reaching movements in patients with cerebellar ataxia.

Authors:  B L Day; P D Thompson; A E Harding; C D Marsden
Journal:  Brain       Date:  1998-02       Impact factor: 13.501

5.  The Responsiveness of Triaxial Accelerometer Measurement of Gait Ataxia Is Higher than That of the Scale for the Assessment and Rating of Ataxia in the Early Stages of Spinocerebellar Degeneration.

Authors:  Shinichi Shirai; Ichiro Yabe; Ikuko Takahashi-Iwata; Masaaki Matsushima; Yoichi M Ito; Kaoru Takakusaki; Hidenao Sasaki
Journal:  Cerebellum       Date:  2019-08       Impact factor: 3.847

6.  Prodromal Markers of Upper Limb Deficits in FMR1 Premutation Carriers and Quantitative Outcome Measures for Future Clinical Trials in Fragile X-associated Tremor/Ataxia Syndrome.

Authors:  Joan A O'Keefe; Deborah Bang; Erin E Robertson; Alexandras Biskis; Bichun Ouyang; Yuanqing Liu; Gian Pal; Elizabeth Berry-Kravis; Deborah A Hall
Journal:  Mov Disord Clin Pract       Date:  2020-08-29

7.  Quantitative evaluation of functional limitation of upper limb movements in subjects affected by ataxia.

Authors:  F Menegoni; E Milano; C Trotti; M Galli; M Bigoni; S Baudo; A Mauro
Journal:  Eur J Neurol       Date:  2009-02       Impact factor: 6.089

8.  Reliability and validity of the scale for the assessment and rating of ataxia: a study in 64 ataxia patients.

Authors:  Anja Weyer; Michael Abele; Tanja Schmitz-Hübsch; Beate Schoch; Markus Frings; Dagmar Timmann; Thomas Klockgether
Journal:  Mov Disord       Date:  2007-08-15       Impact factor: 10.338

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

Authors:  Krzysztof Z Gajos; Katharina Reinecke; Mary Donovan; Christopher D Stephen; Albert Y Hung; Jeremy D Schmahmann; Anoopum S Gupta
Journal:  Mov Disord       Date:  2019-11-07       Impact factor: 10.338

10.  Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal.

Authors:  Takeru Honda; Hiroshi Mitoma; Hirotaka Yoshida; Kyota Bando; Hiroo Terashi; Takeshi Taguchi; Yohane Miyata; Satoko Kumada; Takashi Hanakawa; Hitoshi Aizawa; Shiro Yano; Toshiyuki Kondo; Hidehiro Mizusawa; Mario Manto; Shinji Kakei
Journal:  Front Neurol       Date:  2020-03-11       Impact factor: 4.003

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