Common Ground: Both studies examine brain morphology and cognitive profiles in Parkinson's disease (PD), emphasizing early detection and the prodromal phase.
Key Differences: The current study uses K-means clustering to identify cognitive profiles and evaluates specific brain regions (cerebellar, white matter) in both PD and prodromal stages. The recommended study employs an online volumetric tool to assess differences across multiple brain areas, including insular cortices and cingulate gyri, focusing specifically on gender and age correlations.
Methodologies: The current study uses K-means clustering for cognitive assessment and AssemblyNet pipeline T13D MRI for volumetric analysis. The recommended study utilizes 3 Tesla MRI and an online volumetric measurement tool with rigorous statistical analysis.
Complementary Aspects: The current study provides insights into cognitive profiles and specific brain region changes, whereas the recommended study extends to multiple brain areas and includes demographic considerations, enhancing understanding of brain morphology heterogeneity in PD.
Potential Impact: Combining these findings could improve early diagnostic markers and delineate more precise cognitive and morphological correlates in PD progression.

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