ArticleJournal of neurology2024
Subtypes of cognitive impairment in cerebellar disease identified by cross-diagnostic cluster-analysis: results from a German multicenter study.
Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Remote Online-Based Application of the Cerebellar Cognitive Affective Syndrome Scale.Cerebellum (London, England) · 2026Article
- The cerebro-cerebellar system: Integrative roles in motor control, cognition, and neuropsychiatric disorders.IBRO neuroscience reports · 2026Review
- Prevalence and profiles of clinically diagnosed autoimmune cerebellar ataxia in a Japanese nationwide survey.Journal of neurology · 2026Article
- Two-year decline in performance on the Cerebellar Cognitive Affective Syndrome Scale in spinocerebellar ataxias.Journal of neurology · 2025Article
- Optimizing selectivity of the Cerebellar Cognitive Affective Syndrome Scale by use of correction formulas, and validation of its German version.Journal of neurology · 2025Article
- Psychomotor and non-motor correlates of cognition in spinocerebellar ataxias Types 1, 2, 3, and 6.Brain communications · 2025Article
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28 authors.
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Abstract
backgroundCognitive and neuropsychiatric impairment, known as cerebellar cognitive affective syndrome (CCAS), may be present in cerebellar disorders. This study identified distinct CCAS subtypes in cerebellar patients using cluster analysis.
methodsThe German CCAS-Scale (G-CCAS-S), a brief screening test for CCAS, was assessed in 205 cerebellar patients and 200 healthy controls. K-means cluster analysis was applied to G-CCAS-S data to identify cognitive clusters in patients. Demographic and clinical variables were used to characterize the clusters. Multiple linear regression quantified their relative contribution to cognitive performance. The ability of the G-CCAS-S to correctly distinguish between patients and controls was compared across the clusters.
resultsTwo clusters explained the variance of cognitive performance in patients' best. Cluster 1 (30%) exhibited severe impairment. Cluster 2 (70%) displayed milder dysfunction and overlapped substantially with that of healthy controls. Cluster 1 patients were on average older, less educated, showed more severe ataxia and more extracerebellar involvement than cluster 2 patients. The cluster assignment predicted cognitive performance even after adjusting for all other covariates. The G-CCAS-S demonstrated good discriminative ability for cluster 1, but not for cluster 2.
conclusionsThe variance of cognitive impairment in cerebellar disorders is best explained by one severely affected and one mildly affected cluster. Cognitive performance is not only predicted by demographic/clinical characteristics, but also by cluster assignment itself. This indicates that factors that have not been captured in this study likely have effects on cognitive cerebellar functions. Moreover, the CCAS-S appears to have a relative weakness in identifying patients with only mild cognitive deficits. STUDY REGISTRATION: The study has prospectively been registered at the German Clinical Study Register ( https://www.drks.de ; DRKS-ID: DRKS00016854).
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