Evidence map›Paper›PMID 42573842›Full record

ArticleCerebellum (London, England)2026

Multicenter Validation of Cerebellar Motor Learning Biomarker for Spinocerebellar Degenerations.

Takeru Honda, Kyota Bando, Kinya Ishikawa, Shinichi Shirai, Ichiro Yabe, Tomohiko Ishihara, Osamu Onodera, Yuichi Higashiyama, Fumiaki Tanaka, Yoshiyuki Kishimoto and 5 more

Abstract readMulticenter StudyValidation Study
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In one paragraph

Article in Cerebellum (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Takeru HondaFaculty of Business Administration and Information, Japan International University, 3-1 Azuma, Tsukuba City, 305-0031, Ibaraki, Japan.
Kyota BandoDepartment of Rehabilitation, National Center Hospital, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashicho, Kodaira, Tokyo, 187- 8551, Japan.
Kinya IshikawaThe Center for Personalized Medicine for Healthy Aging, Institute of Science Tokyo (Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Shinichi ShiraiDepartment of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15, Nishi-7, Kita-ku, Sapporo, 060- 8638, Japan.
Ichiro YabeDepartment of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15, Nishi-7, Kita-ku, Sapporo, 060- 8638, Japan.
Tomohiko IshiharaDepartments of Neurology, Brain Research Institute, Niigata University, 1-757 Asahimachi, Chuo-ku, Niigata, 951-8585, Japan.
Osamu OnoderaDepartments of Neurology, Brain Research Institute, Niigata University, 1-757 Asahimachi, Chuo-ku, Niigata, 951-8585, Japan.
Yuichi HigashiyamaDepartment of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Kanagawa, Japan.
Fumiaki TanakaDepartment of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Kanagawa, Japan.
Yoshiyuki KishimotoDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
Masahisa KatsunoDepartment of Neurology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
Takahiro ShimizuDivision of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Ritsuko HanajimaDivision of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago, 683-8504, Japan.
Yuji TakahashiDepartment of Neurology, National Center of Neurology and Psychiatry, National Center Hospital, 4-1-1 Ogawahigashicho, Kodaira, Tokyo, 187- 8551, Japan.
Hidehiro MizusawaDepartment of Neurology, National Center of Neurology and Psychiatry, National Center Hospital, 4-1-1 Ogawahigashicho, Kodaira, Tokyo, 187- 8551, Japan. mizusawa@ncnp.go.jp.

Funding

Japan Society for the Promotion of Science 16K21649, 19K19936, 21K11282, and 25K14424
6 · The paper itself

Abstract

Objectively quantifying cerebellar motor dysfunction remains a challenge in clinical trials. The Adaptability Index, derived from the Prism Adaptation Test, evaluates motor learning but lacks multicenter validation. We aimed to validate the Adaptability Index as a robust biomarker across multiple hospitals and investigate its relationship with the Scale for the Assessment and Rating of Ataxia. We enrolled 74 patients with cerebellar degeneration across seven hospitals using a standardized touchscreen system. We analyzed the correlation between Adaptability Index and the Scale for the Assessment and Rating of Ataxia and evaluated inter-hospital robustness using Linear Mixed-effects Modeling. Consistency of Adaptability Index variance between distinct genotypes (Spinocerebellar Ataxia type 6 and type 31) was assessed using Levene's test and normalized standard deviations. The Adaptability Index correlated negatively with the Scale for the Assessment and Rating of Ataxia (r = - 0.364, p < 0.01). Notably, Linear Mixed-effects Modeling revealed negligible inter-hospital variance, confirming robustness against site-specific biases. Levene's test indicated consistent Adaptability Index variance across these genotypes (p = 0.41). However, the Adaptability Index exhibited higher resolution than the Scale for the Assessment and Rating of Ataxia in detecting phenotypic variability (larger normalized standard deviations), particularly in the Spinocerebellar Ataxia type 31 cohort, likely reflecting cerebellar motor learning capacity distinct from motor execution deficits. The Adaptability Index is a valid, genotype-stable, and site-independent biomarker of cerebellar motor learning. Its high resolution and robustness make it a promising objective endpoint for multicenter interventional trials targeting cerebellar dysfunction.

Indexed as

CerebellumLearningSpinocerebellar DegenerationsAdultAgedBiomarkersFemaleHumansMaleMiddle AgedBiomarkersAtaxiaCerebellar degenerationDisease durationMotor learningPrism adaptationSARA

Identifiers

What OpenQuestion 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 OpenQuestion graph.