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. 2023 Apr;36(2):176-181.
doi: 10.1177/19714009221114446. Epub 2022 Jul 11.

Cross-sectional analysis of whole-brain microstructural changes in adult patients with bipolar and unipolar depression by diffusion kurtosis imaging

Affiliations

Cross-sectional analysis of whole-brain microstructural changes in adult patients with bipolar and unipolar depression by diffusion kurtosis imaging

Muniraju Maralakunte et al. Neuroradiol J. 2023 Apr.

Abstract

Rationale and objectives: More than half of the bipolar depression (BD) subjects are misdiagnosed as unipolar depression (UD) due to lack of objective diagnostic criteria. We aimed to identify microstructural neuronal changes differentiating BD from UD groups using diffusion kurtosis imaging (DKI). The objective of the study is to identify an objective neuro-imaging marker to differentiate BD from UD.

Materials and methods: A prospective, cross-sectional study included total of 62 subjects with diagnosis of bipolar depression (n = 21), unipolar depression (n = 21), and healthy controls (n = 20). All subjects underwent diffusion-weighted imaging (b = 0,1000,2000) of the whole brain on 3-Tesla MR scanner. DKI data was analyzed using 189 region whole-brain atlas. Eight diffusion and kurtosis metrics including mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), fractional anisotropy (FA), mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK), and kurtosis fractional anisotropy (FKA) were measured against these 189 regions. Principle component analysis (PCA) was utilized to identify the most significant regions of the brain. ANOVA with post hoc tests was used for analyzing these regions.

Results: BD group showed increased MD, RD, decreased AK at the left amygdala and decreased MK and RK at the right hemi-cerebellum. UD group showed increased MK and RK at the right external capsule; and increased AK, MK, and RK at the right amygdala.

Conclusion: The right and left amygdala, right external capsule, and right hemi-cerebellum showed microstructural abnormalities capable of differentiating BD and UD groups. Diffusion imaging especially DKI can aid in management of depression patients.

Keywords: bipolar; depression; diffusion kurtosis imaging; unipolar.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
First and second principal components showing regions with abnormal kurtosis and diffusivity parameters which were included for analysis. Abbreviations: R-region of brain, mean value of parameters (M1- AD, M2- MD, M3- RD, M4- FA, M5- AK, M6- KFA, M7- MK, M8- RK).

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References

    1. World Health Organization . Depression, https://www.who.int/news-room/fact-sheets/detail/depression 2022, Accessed May 12.
    1. Hirschfeld RM, Lewis L, Vornik LA, et al. Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder. J Clin Psychiatry 2003; 64: 161–174. - PubMed
    1. Judd LL, Akiskal HS, Schettler PJ, et al. The Long-term Natural History of the Weekly Symptomatic Status of Bipolar I Disorder. Arch Gen Psychiatry 2002; 59: 530–537. - PubMed
    1. Judd LL, Akiskal HS, Schettler PJ, et al. A Prospective Investigation of the Natural History of the Long-term Weekly Symptomatic Status of Bipolar II Disorder. Arch Gen Psychiatry 2003; 60: 261–269. - PubMed
    1. Uchida M, Serra G, Zayas L, et al. Can unipolar and bipolar pediatric major depression be differentiated from each other? A systematic review of cross-sectional studies examining differences in unipolar and bipolar depression. J Affect Disord 2015; 176: 1–7. - PubMed