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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