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Updated: Jul 16, 2026

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A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
Published on: February 4, 2022
Subcortical shape alterations in spinocerebellar ataxia type 2: a longitudinal MRI-based analysis
Hatice Tataroğlu1, İrem Ceren Koç2, Lütfi İncesu2
1Department of Radiation Oncology, Samsun Training and Research Hospital, Samsun, Turkey. htataroglu@gmail.com.
Acta Neurologica Belgica
|July 14, 2026
Summary
Spinocerebellar ataxia type 2 (SCA2) causes progressive brain changes. Vertex-based shape analysis revealed specific subcortical abnormalities in SCA2 patients, offering new insights beyond traditional volume measurements.
Area of Science:
- Neuroimaging
- Neurodegenerative Diseases
- Quantitative Anatomy
Background:
- Spinocerebellar ataxia type 2 (SCA2) is a progressive neurodegenerative disorder affecting both cerebellar and extracerebellar regions.
- Previous MRI studies identified gray matter changes, but subcortical shape alterations remain underexplored.
Purpose of the Study:
- To investigate cross-sectional and longitudinal subcortical gray matter shape changes in genetically confirmed SCA2 patients.
- Utilize a vertex-based morphometric approach to characterize detailed morphological alterations.
Main Methods:
- Acquired T1-weighted MRI data from SCA2 patients and healthy controls from OpenNeuro.
- Performed vertex-wise shape analyses and eTIV-normalized volumetric analyses on baseline and follow-up scans (approx. 3.5 years interval).
Main Results:
- SCA2 patients showed outward shape deformations in the hippocampus, caudate nucleus, and putamen compared to controls.
- Longitudinal analysis revealed progressive shape changes in the caudate nucleus, pallidum, and putamen in SCA2.
- Volumetric analysis indicated reduced brainstem and thalamic volumes, with greater volume loss in the pallidum and hippocampi over time in SCA2 patients.
Conclusions:
- Vertex-based shape analysis reveals progressive, region-specific subcortical abnormalities in SCA2.
- Shape analysis captures alterations not fully detected by volumetric methods, providing complementary insights.
- These findings enhance the characterization of subcortical involvement and disease progression in SCA2.

