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Abstract #2674

Independent component analysis of DTI metrics in multiple sclerosis

K.A. Meijer 1 , M. Cercignani 2 , N. Muhlert 1 , V. Sethi 1 , D. Chard 1 , M. Ron 1 , A.J. Thompson 1 , D.H. Miller 1 , J.J.G. Geurts 3 , and O. Ciccarelli 1

1 NMR Unit, Queen Square MS Centre, UCL Institute of Neurology, London, United Kingdom, 2 Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, United Kingdom, 3 Department of Anatomy and Neuroscience, VU University Medical Centre, Amsterdam, Netherlands

We applied independent component analysis (ICA) to patients with multiple sclerosis (MS) in order to examine the specific patterns of correlation in fractional anisotropy (FA) across white matter (WM) tracts (obtained with tract-based spatial statistics). Fifteen out of eighteen components were associated with specific WM tracts and grouped in 5 classes, as previously demonstrated in healthy controls. A cluster of WM tracts, including the supratentorial commissural tracts, showed significant correlations with cognitive performance. These results suggest that microstructurally correlated WM regions are seen in MS patients and they may be important to understand the mechanisms of cognitive dysfunction.

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