Subtypes of cognitive impairment in cerebellar disease identified by cross-diagnostic cluster-analysis: results from a German multicenter study
2024

Identifying Cognitive Impairment Types in Cerebellar Disease

Sample size: 205 publication 10 minutes Evidence: high

Author Information

Author(s): Liu Qi, Rubarth Kerstin, Faber Jennifer, Sulzer Patricia, Dogan Imis, Barkhoff Miriam, Minnerop Martina, Berlijn Adam M., Elben Saskia, Jacobi Heike, Aktories Julia-Elisabeth, Huvermann Dana M., Erdlenbruch Friedrich, Van der Veen Raquel, Müller Johanna, Nio Enzo, Frank Benedikt, Köhrmann Martin, Wondzinski Elke, Siebler Mario, Reetz Kathrin, Konczak Jürgen, Konietschke Frank, Klockgether Thomas, Synofzik Matthis, Röske Sandra, Timmann Dagmar

Primary Institution: Department of Neurology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany

Hypothesis

This study aims to identify distinct subtypes of cerebellar cognitive affective syndrome (CCAS) in cerebellar patients using cluster analysis.

Conclusion

The study found two cognitive impairment clusters in cerebellar patients: one severely affected and one mildly affected, with significant overlap in cognitive performance with healthy controls in the latter group.

Supporting Evidence

  • Cluster analysis identified two distinct cognitive profiles among cerebellar patients.
  • Cluster 1 (30% of patients) showed severe cognitive impairment, while Cluster 2 (70% of patients) had milder dysfunction.
  • Patients in Cluster 1 were older and less educated than those in Cluster 2.
  • The G-CCAS-S demonstrated good discriminative ability for identifying patients in Cluster 1.

Takeaway

Doctors found two groups of people with brain problems: one group has serious issues, while the other has only mild problems, similar to healthy people.

Methodology

The study used the German CCAS-Scale (G-CCAS-S) to assess cognitive function in 205 cerebellar patients and 200 healthy controls, applying K-means cluster analysis to identify cognitive clusters.

Potential Biases

The study may overlook other variables affecting cognitive performance, such as fatigue and depression.

Limitations

The study's findings may not be fully applicable to younger patients or those with higher education levels, and it did not include pre-symptomatic mutation carriers.

Participant Demographics

The mean age of patients was 53.2 years, with a mean education level of 14.9 years; 56% were male.

Statistical Information

P-Value

0.042

Confidence Interval

95% CI: 0.98–1.00

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1007/s00415-024-12831-1

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