August 19, 2025Neurology Neuroimmunology & Neuroinflammation

Unraveling Microstructural and Macrostructural Brain Age Dynamics in Multiple Sclerosis

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Combining morphometric measures and quantitative MRI produced the best brain age predictions, demonstrating a mean absolute error of 5.73 years.
Cross-sectional and longitudinal analyses show significant correlations between brain-PAD and clinical disability, p < 0.01, underlining the importance of brain age assessment.
This study utilized a comprehensive analysis of 1,353 MS patients and 3,462 healthy controls to explore brain age dynamics in relation to neuroinflammation.
The results suggest that incorporating quantitative MRI can enhance the understanding of neurodegeneration and recovery progression in MS patients.

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Implication

Cross-sectional analysis reveals how quantitative MRI improves brain age predictions in multiple sclerosis patients, indicating a link with clinical disability.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68af35d5cf1dd9ea359e986c https://doi.org/10.1212/nxi.0000000000200459

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Implication

Cross-sectional analysis reveals how quantitative MRI improves brain age predictions in multiple sclerosis patients, indicating a link with clinical disability.

Unraveling Microstructural and Macrostructural Brain Age Dynamics in Multiple Sclerosis

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Discussion

Implication

Cite This Study

Unraveling Microstructural and Macrostructural Brain Age Dynamics in Multiple Sclerosis

Key Points

Discussion

Implication

Cite This Study