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The data associated with this study constitutes part of the data of my PhD thesis, as a corresponding author. On behalf of my co-authors, I hereby declare that the data pertaining to the other part of my PhD thesis were previously included in the article titled \u201cMorphological Evaluation of Corpus Callosum Atrophy Over Time in Relapsing Remitting Multiple Sclerosis,\u201d published in Acta Medica Nicomedia (Vol. 7, pp. 332\u2013338;\n                      \n                      ). Within the scope of this doctoral study, data pertaining to the Thalamus and Nuclei Basales (Putamen and Globus Pallidus) regions, obtained with the approval of the same ethics committee, were analyzed to address a distinct scientific inquiry. The objective was to assess the volumetric changes of these structures over time in patients with RRMS. Consequently, Therefore, these data have been re-evaluated within the context of an original scientific hypothesis, and the current manuscript was structured on the basis of these analyses. Our present study utilized automated volumetric analysis via volBrain software to assess longitudinal volume changes in key subcortical structures, including the thalamus, nucleus caudatus, and nucleus lentiformis. By shifting the anatomical focus from commissural white matter to deep gray matter nuclei and incorporating a fully automated, quantitative imaging approach, this study offered novel insights into subcortical atrophy progression in RRMS. Employing the volBrain platform, the study quantitatively assessed volume changes in these structures over a five-year period and evaluates their relationship with disease duration. By analyzing three serial MRI scans from RRMS patients and comparing them to a control group, the research aimed to establish temporal volume loss patterns and identify potential imaging biomarkers for MS-related neurodegeneration. Furthermore, it correlated structural degeneration with disease duration, thereby expanding upon and differentiating itself from our previously published study. This longitudinal volumetric analysis offered valuable insights into disease progression, enhanced our understanding of MS-related neurodegeneration by evaluating separate yet functionally relevant brain regions using advanced neuroimaging techniques and contribute to improved monitoring strategies in clinical settings.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Author statements"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}