State-dependent microstructural white matter changes in bipolar I depression |
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Authors: | Marcus V Zanetti Marcel P Jackowski Amelia Versace Jorge R C Almeida Stefanie Hassel Fábio L S Duran Geraldo F Busatto David J Kupfer Mary L Phillips |
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Institution: | 1.Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry,University of S?o Paulo Medical School,S?o Paulo,Brazil;2.Department of Computational Sciences, Institute of Mathematics and Statistics,University of S?o Paulo,S?o Paulo,Brazil;3.Functional Neuroimaging in Emotional Disorders, Department of Psychiatry, Western Psychiatric Institute and Clinic,University of Pittsburgh School of Medicine,Pittsburgh,USA;4.Department of Psychological Medicine, The Henry Wellcome Building for Biomedical Research in Wales,Cardiff University School of Medicine,Cardiff,UK |
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Abstract: | Abnormalities in fronto-limbic-striatal white matter (WM) have been reported in bipolar disorder (BD), but results have been
inconsistent across studies. Furthermore, there have been no detailed investigations as to whether acute mood states contribute
to microstructural changes in WM tracts. In order to compare fiber density and structural integrity within WM tracts between
BD depression and remission, whole-brain fractional anisotropy (FA) and mean diffusivity (MD) were assessed in 37 bipolar
I disorder (BD-I) patients (16 depressed and 21 remitted), and 26 healthy individuals with diffusion tensor imaging. Significantly
decreased FA and increased MD in bilateral prefronto-limbic-striatal white matter and right inferior fronto-occipital, superior
and inferior longitudinal fasciculi were shown in all BD-I patients versus controls, as well as in depressed BD-I patients
compared to both controls and remitted BD-I patients. Depressed BD-I patients also exhibited increased FA in the ventromedial
prefrontal cortex. Remitted BD-I patients did not differ from controls in FA or MD. These findings suggest that BD-I depression
may be associated with acute microstructural WM changes. |
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Keywords: | Bipolar disorder Depression Magnetic resonance imaging Diffusion tensor imaging White matter |
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