scholarly journals Magnetic resonance diffusion tensor imaging for characterizing diffuse and focal white matter abnormalities in multiple sclerosis

2000 ◽  
Vol 44 (4) ◽  
pp. 583-591 ◽  
Author(s):  
Roland Bammer ◽  
Michael Augustin ◽  
Siegrid Strasser-Fuchs ◽  
Thomas Seifert ◽  
Peter Kapeller ◽  
...  
2009 ◽  
Vol 16 (2) ◽  
pp. 189-196 ◽  
Author(s):  
A. Feinstein ◽  
P. O'Connor ◽  
N. Akbar ◽  
L. Moradzadeh ◽  
CJM Scott ◽  
...  

Depression is common in patients with multiple sclerosis, but to date no studies have explored diffusion tensor imaging indices associated with mood change. This study aimed to determine cerebral correlates of depression in multiple sclerosis patients using diffusion tensor imaging. Sixty-two subjects with multiple sclerosis were assessed for depression with the Beck Depression Inventory (BDI-II). All subjects underwent magnetic resonance imaging. Whole brain and regional volumes were calculated for lesions (hyper/hypointense) and normal-appearing white and grey matter. Fractional anisotropy and mean diffusivity were calculated for each brain region. Magnetic resonance imaging comparisons were undertaken between depressed (Beck Depression Inventory ≥19) and non-depressed subjects. Depressed subjects (n = 30) had a higher hypointense lesion volume in the right medial inferior frontal region, a smaller normal-appearing white matter volume in the left superior frontal region, and lower fractional anisotropy and higher mean diffusivity in the left anterior temporal normal-appearing white matter and normal-appearing grey matter regions, respectively. Depressed subjects also had higher mean diffusivity in right inferior frontal hyperintense lesions. Magnetic resonance imaging variables contributed to 43% of the depression variance. We conclude that the presence of more marked diffusion tensor imaging abnormalities in the normal-appearing white matter and normal-appearing grey matter of depressed subjects highlights the importance of more subtle measures of structural brain change in the pathogenesis of depression.


2018 ◽  
Vol 281 ◽  
pp. 78-84 ◽  
Author(s):  
Niccolò Piaggio ◽  
Simona Schiavi ◽  
Matteo Martino ◽  
Giulia Bommarito ◽  
Matilde Inglese ◽  
...  

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