Corpus callosum atrophy is strongly associated with cognitive impairment in multiple sclerosis: Results of a 17-year longitudinal study.

BACKGROUND: Cognitive impairment is common in multiple sclerosis (MS) and may be subtle. The corpus callosum is essential for connectivity-demanding cognitive tasks and is significantly affected in MS, therefore it may serve as a marker for cognitive function. OBJECTIVE: The objective of this paper is to longitudinally study the normalized corpus callosum area (nCCA) as a marker of cognitive function and disability in MS. METHODS: Thirty-seven MS patients were followed from 1996 with follow-ups in 2004 and 2013. A healthy matched control group was recruited. The Expanded Disability Status Scale (EDSS) and Symbol Digit Modalities Test (SDMT) were assessed. The nCCA was measured on T2-weighted images. Volumetry was performed with FreeSurfer. RESULTS: Disease duration spanned five decades (1.6-46 years). Annual corpus callosal atrophy rate decreased with disease duration. nCCA was strongly correlated with SDMT (r = 0.793, p < 0.001) and moderately correlated with EDSS (r = -0.545, p < 0.001) after adjusting for disease duration, age and sex. The correlations of brain parenchymal fraction, white matter fraction, gray matter fraction and normalized lesion volume were less strong. CONCLUSIONS: The nCCA correlates well with physical and cognitive disability in time perspectives close to two decades, outperforming volumetric measurements. The nCCA is fast and could be feasible for clinical implementation where it may help identify patients in need of neuropsychological evaluation.

Progressive brain calcifications and signs in a family with the L9R mutation in the PDGFB gene.

Primary familial brain calcifications (PFBC) are a heterogeneous group of rare autosomal dominant disorders. Mutations in the PDGFB gene are the second most common cause of PFBC. A model for PDGFB-associated PFBC, hypomorphic PDGFB (ret/ret) mouse, displays impaired blood-brain barrier (BBB), progressive brain calcifications and increased flux of the oxysterol 24S-hydroxycholesterol from the brain into the circulation.(1,2) Only 8 families and 2 sporadic cases with PDGFB mutations have been identified so far, one of them a Swedish-Finnish family previously described as F13.(1,3-6) Very little is known about the natural history of PDGFB-associated PFBC. Here, we provide a comprehensive long-term follow-up of the F13 family.

MRI-Defined Corpus Callosal Atrophy in Multiple Sclerosis: A Comparison of Volumetric Measurements, Corpus Callosum Area and Index.

OBJECTIVE: To compare corpus callosum area (CCA) and corpus callosum index (CCI) in terms of feasibility and their performance as biomarkers for cognitive and physical disability in multiple sclerosis (MS). A secondary aim was to compare these two methods with volumetric measurements. METHODS: This study was based on a cohort of 37 MS patients and a group of age- and gender-matched healthy controls. Physical disability was assessed with the expanded disability status scale (EDSS) and cognitive disability with the symbol digit modalities test (SDMT). CCA and CCI were assessed on midsagittal brain MRI by 3 raters with varying radiological experience. Volumes of the brain, gray and white matter, corpus callosum, and MS lesions were acquired with Freesurfer and Lesion Segmentation Toolbox for Statistical Parametric Mapping. RESULTS: CCA and CCI were obtained within seconds with excellent intra- and inter-rater agreement, and outperformed volumetric measurements. CCA had the strongest correlations with both SDMT (r = .82, P < .001) and EDSS (r = -.56, P < .001), and the highest accuracy in differentiating patients from controls (95%) and relapse-remitting MS from progressive forms of MS (77%). CCI performed less well (r = .73, P < .001; r = -.45, P < .001; 94%; 71%). CCA also outperformed the volumetric measurements in these regards. CONCLUSIONS: CCA is a time-effective and robust biomarker that has stronger correlations with both EDSS and information processing speed than CCI and volumetric measurements that are commonly used as outcome measures in MS research and clinical trials.