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Microstructural Alterations in Bipolar and Major Depressive Disorders : A Diffusion Kurtosis Imaging Study

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Title: Microstructural Alterations in Bipolar and Major Depressive Disorders : A Diffusion Kurtosis Imaging Study
Authors: Sawamura, Daisuke Browse this author
Narita, Hisashi Browse this author →KAKEN DB
Hashimoto, Naoki Browse this author
Nakagawa, Shin Browse this author →KAKEN DB
Hamaguchi, Hiroyuki Browse this author
Fujima, Noriyuki Browse this author →KAKEN DB
Kudo, Kohsuke Browse this author →KAKEN DB
Shirato, Hiroki Browse this author →KAKEN DB
Tha, Khin K. Browse this author →KAKEN DB
Keywords: diffusion kurtosis imaging
mean kurtosis
bipolar disorder
major depressive disorder
microstructural alterations
Issue Date: Oct-2020
Publisher: John Wiley & Sons
Journal Title: Journal of magnetic resonance imaging
Volume: 52
Issue: 4
Start Page: 1187
End Page: 1196
Publisher DOI: 10.1002/jmri.27174
Abstract: Background Identifying structural and functional abnormalities in bipolar (BD) and major depressive disorders (MDD) is important for understanding biological processes. Hypothesis Diffusion kurtosis imaging (DKI) may be able to detect the brain's microstructural alterations in BD and MDD and any differences between the two. Study Type Prospective. Subjects In all, 16 BD patients, 19 MDD patients, and 20 age- and gender-matched healthy volunteers. Field Strength/Sequence DKI at 3.0T. Assessment The major DKI indices of the brain were compared voxel-by-voxel among the three groups. Significantly different voxels were tested for correlation with clinical variables (ie, Young Mania Rating Scale [YMRS], 17-item Hamilton Depression Rating Scale [17-HDRS], Montgomery-angstrom sberg Depression Rating Scale, total disease duration, duration of current episode, and the number of past manic/depressive episodes). The performance of the DKI indices in identifying microstructural alterations was estimated. Statistical Tests One-way analysis of variance (ANOVA) was used for group comparison of DKI indices. The performance of these indices in detecting microstructural alterations was determined by receiver operating characteristic (ROC) analysis. Pearson's product-moment correlation analyses were used to test the correlations of these indices with clinical variables. Results DKI revealed widespread microstructural alterations across the brain in each disorder (P < 0.05). Some were significantly different between the two disorders. Mean kurtosis (MK) in the gray matter of the right inferior parietal lobe was able to distinguish BD and MDD with an accuracy of 0.906. A strong correlation was revealed between MK in that region and YMRS in BD patients (r = -0.641, corrected P = 0.042) or 17-HDRS in MDD patients (r = -0.613, corrected P = 0.030). There were also strong correlations between a few other DKI indices and disease duration (r = -0.676 or 0.626, corrected P < 0.05). Data Conclusion DKI detected microstructural brain alterations in BD and MDD. Its indices may be useful to distinguish the two disorders or to reflect disease severity and duration. Level of Evidence 2 Technical Efficacy Stage 3
Rights: This is the peer reviewed version of the following article: Sawamura, D., Narita, H., Hashimoto, N., Nakagawa, S., Hamaguchi, H., Fujima, N., Kudo, K., Shirato, H. and Tha, K.K. (2020), Microstructural Alterations in Bipolar and Major Depressive Disorders: A Diffusion Kurtosis Imaging Study. J Magn Reson Imaging, 52: 1187-1196. doi:10.1002/jmri.27174, which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Type: article (author version)
Appears in Collections:国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
医学院・医学研究院 (Graduate School of Medicine / Faculty of Medicine) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: Khin Khin Tha

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