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Journal Article

Temporal Relationship between Impairment of Cerebellar Motor Learning and Deterioration of Ataxia in Patients with Cerebellar Degeneration

Takeru Honda; Ken Matsumura; Yuji Hashimoto; Takanori Yokota; Hidehiro Mizusawa; Soichi Nagao; Kinya Ishikawa
The Cerebellum · Vol. 23, Issue 4 · pp. 1280-1292 · 2023

Abstract

Ataxia and impaired motor learning are both fundamental features in diseases affecting the cerebellum. However, it remains unclarified whether motor learning is impaired only when ataxia clearly manifests, nor it is known whether the progression of ataxia, the speed of which often varies among patients with the same disease, can be monitored by examining motor learning. We evaluated motor learning and ataxia at intervals of several months in 40 patients with degenerative conditions [i.e., multiple system atrophy (MSA), Machado–Joseph disease (MJD)/spinocerebellar ataxia type 3 (SCA3), SCA6, and SCA31]. Motor learning was quantified as the adaptability index ( AI ) in the prism adaptation task and ataxia was scored using the Scale for the Assessment and Rating of Ataxia (SARA). We found that AI decreased most markedly in both MSA-C and MSA-P, moderately in MJD, and mildly in SCA6 and SCA31. Overall, the AI decrease occurred more rapidly than the SARA score increase. Interestingly, AI s remained normal in purely parkinsonian MSA-P patients ( n = 4), but they dropped into the ataxia range when these patients started to show ataxia. The decrease in AI during follow-up ( dAI/dt ) was significant in patients with SARA scores < 10.5 compared with patients with SARA scores ≥ 10.5, indicating that AI is particularly useful for diagnosing the earlier phase of cerebellar degeneration. We conclude that AI is a useful marker for progressions of cerebellar diseases, and that evaluating the motor learning of patients can be particularly valuable for detecting cerebellar impairment, which is often masked by parkinsonisms and other signs.

Bibliographic Information

JournalThe Cerebellum
PublisherSpringer
Publication Date2023-04-28
Publication Year2023
Volume23
Issue4
Pages1280-1292
Document TypeJournal Article
eISSN1473-4230
DOI10.1007/s12311-023-01545-1

Access Information

NARA Access Coverage2002-01-01~Current
Journal Homepagehttps://www.springer.com/journal/12311
Publisher PageOpen Publisher Page
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