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Diffusion kurtosis imaging of white matter in bipolar disorder.
Goghari, Vina M; Kusi, Mavis; Shakeel, Mohammed K; Beasley, Clare; David, Szabolcs; Leemans, Alexander; De Luca, Alberto; Emsell, Louise.
Affiliation
  • Goghari VM; Department of Psychology & Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada. Electronic address: vina.goghari@utoronto.ca.
  • Kusi M; Department of Psychology & Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada.
  • Shakeel MK; Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
  • Beasley C; Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
  • David S; Image Sciences Institute, UMC Utrecht, Utrecht, the Netherlands; Department of Radiation Oncology, UMC Utrecht, Utrecht, the Netherlands.
  • Leemans A; Image Sciences Institute, UMC Utrecht, Utrecht, the Netherlands.
  • De Luca A; Image Sciences Institute, UMC Utrecht, Utrecht, the Netherlands; Neurology Department, Brain Center, UMC Utrecht, Utrecht, the Netherlands.
  • Emsell L; Department of Geriatric Psychiatry, University Psychiatric Center, KU Leuven, Leuven, Belgium; Department of Imaging and Pathology and Department of Neurosciences, Translational MRI and Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Psychiatry Res Neuroimaging ; 317: 111341, 2021 11 30.
Article in En | MEDLINE | ID: mdl-34411810
ABSTRACT
White matter pathology likely contributes to the pathogenesis of bipolar disorder (BD). Most studies of white matter in BD have used diffusion tensor imaging (DTI), but the advent of more advanced multi-shell diffusion MRI imaging offers the possibility to investigate other aspects of white matter microstructure. Diffusion kurtosis imaging (DKI) extends the DTI model and provides additional measures related to diffusion restriction. Here, we investigated white matter in BD by applying whole-brain voxel-based analysis (VBA) and a network-based connectivity approach using constrained spherical deconvolution tractography to assess differences in DKI and DTI metrics between BD (n = 25) and controls (n = 24). The VBA showed lower mean kurtosis in the corona radiata and posterior association fibers in BD. Regional differences in connectivity were indicated by lower mean kurtosis and kurtosis anisotropy in streamlines traversing the temporal and occipital lobes, and lower mean axial kurtosis in the right cerebellar, thalamo-subcortical pathways in BD. Significant differences were not seen in DTI metrics following FDR-correction. The DKI findings indicate altered connectivity across cortical, subcortical and cerebellar areas in BD. DKI is sensitive to different microstructural properties and is a useful complementary technique to DTI to more fully investigate white matter in BD.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / White Matter Type of study: Prognostic_studies Limits: Humans Language: En Journal: Psychiatry Res Neuroimaging Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder / White Matter Type of study: Prognostic_studies Limits: Humans Language: En Journal: Psychiatry Res Neuroimaging Year: 2021 Document type: Article
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