Quantifying multiple sclerosis pathology in post mortem spinal cord using MRI.

Multiple sclerosis (MS) is a common inflammatory, demyelinating and degenerative disease of the central nervous system. The majority of people with MS present with symptoms due to spinal cord damage, and in more advanced MS a clinical syndrome resembling that of progressive myelopathy is not uncommon. Significant efforts have been undertaken to predict MS-related disability based on short-term observations, for example, the spinal cord cross-sectional area measured using MRI. The histo-pathological correlates of spinal cord MRI changes in MS are incompletely understood, however a surge of interest in tissue microstructure has recently led to new approaches to improve the precision with which MRI indices relate to underlying tissue features, such as myelin content, neurite density and orientation, among others. Quantitative MRI techniques including T1 and T2, magnetisation transfer (MT) and a number of diffusion-derived indices have all been successfully applied to post mortem MS spinal cord. Combining advanced quantification of histological features with quantitative - particularly diffusion-based - MRI techniques provide a new platform for high-quality MR/pathology data generation. To more accurately quantify grey matter pathology in the MS spinal cord, a key driver of physical disability in advanced MS, remains an important challenge of microstructural imaging.

Neuronal loss, demyelination and volume change in the multiple sclerosis neocortex.

AIMS: Indices of brain volume [grey matter, white matter (WM), lesions] are being used as outcomes in clinical trials of patients with multiple sclerosis (MS). We investigated the relationship between cortical volume, the number of neocortical neurons estimated using stereology and demyelination. METHODS: Nine MS and seven control hemispheres were dissected into coronal slices. On sections stained for Giemsa, the cortex was outlined and optical disectors applied using systematic uniform random sampling. Neurons were counted using an oil immersion objective (× 60) following stereological principles. Grey and WM demyelination was outlined on myelin basic protein immunostained sections, and expressed as percentages of cortex and WM respectively. RESULTS: In MS, the mean number of neurons was 14.9 ± 1.9 billion vs. 24.4 ± 2.4 billion in controls (P < 0.011), a 39% difference. The density of neurons was smaller by 28% (P < 0.001) and cortical volume by 26% (P = 0.1). Strong association was detected between number of neurons and cortical volume (P < 0.0001). Demyelination affected 40 ± 13% of the MS neocortex and 9 ± 12% of the WM, however, neither correlated with neuronal loss. Only weak association was detected between number of neurons and WM volume. CONCLUSION: Neocortical neuronal loss in MS is massive and strongly predicted by cortical volume. Cortical volume decline detected in vivo may be similarly indicative of neuronal loss. Lack of association between neuronal density and demyelination suggests these features are partially independent, at least in chronic MS.