Cortical and white matter lesion topology influences focal corpus callosum atrophy in multiple sclerosis

Background and Purpose Corpus callosum (CC) atrophy is a strong predictor of multiple sclerosis (MS) disability but the contributing pathological mechanisms remain uncertain. We aimed to apply advanced MRI to explore what drives the often nonuniform callosal atrophy. Methods Prospective brain 7 Tesla and 3 Tesla Human Connectom Scanner MRI were performed in 92 MS patients. White matter, leukocortical, and intracortical lesions were manually segmented. FreeSurfer was used to segment the CC and topographically classify lesions per lobe or as deep white matter lesions. Regression models were calculated to predict focal CC atrophy. Results The frontal and parietal lobes contained the majority (>= 80%) of all lesion classifications in both relapsing-remitting and secondary progressive MS subtypes. The anterior subsection of the CC had the smallest proportional volume difference between subtypes (11%). Deep, temporal, and occipital white matter lesions, and occipital intracortical lesions were the strongest predictors of middle-posterior callosal atrophy (adjusted R-2 = .54-.39, P < .01). Conclusions Both white matter and cortical lesions contribute to regional corpus callosal atrophy. The lobe-specific lesion topology does not fully explain the inhomogeneous CC atrophy.

Automated summary

This study used advanced MRI technology to explore the pathological mechanisms of corpus callosum atrophy. The results showed that both white matter and cortical lesions contribute to regional corpus callosal atrophy, and lobe-specific lesion topology does not fully explain the inhomogeneous atrophy of the corpus callosum.