Regional white matter atrophy-based classification of multiple sclerosis in cross-sectional and longitudinal data
Posted Nov 17 2009 10:20pm
summary: The underlying processes responsible for the progression of disability in MS, which may depend on the MS type, are not fully understood. The authors aimed to investigate whether the volume in two different regions of white matter of the brain could be used to differentiate amongst different MS subtypes. Based on the results, the authors created an algorithm to classify people with different types of MS, based on the different volumes of white matter regions of the brain, since people with relapsing-remitting MS had higher volumes than people with progressive forms of MS. In this latter group, people with secondary progressive MS had lower volumes than people with primary progressive MS. This study may have important consequences from a clinical point of view and could help to shed light on the underlying biology of MS.