Literature DB >> 35177806

Shared and disease-sensitive dysfunction across bipolar and unipolar disorder during depressive episodes: a transdiagnostic study.

Junneng Shao1,2, Yujie Zhang1,2, Li Xue1,2, Xinyi Wang1,2, Huan Wang1,2, Rongxin Zhu3, Zhijian Yao4,5, Qing Lu6,7.   

Abstract

Patients with depressive episodes (PDE), such as unipolar disorder (UD) and bipolar disorder (BD), are often defined as distinct diagnostic categories, but increasing converging evidence indicated shared etiologies and pathophysiological characteristics across different clinical diagnoses. We explored whether these transdiagnostic deficits are caused by the common neural substrates across diseases or disease-sensitive mechanisms, or a combination of both. In this study, we utilized a Bayesian model to decompose the resting-state brain activity into multiple hyper- and hypo-activity patterns (refer to as "factors"), so as to explore the shared and disease-sensitive alteration patterns in PDE. The model was constructed over a total of 259 patients (131 UD and 128 BD) with 100 healthy controls as the reference. The other 32 initial depressive episode BD (IDE-BD) patients who had symptoms of mania or hypomania during follow-up were taken as an independent set to estimate the factor composition using the established model for further analysis. We revealed three transdiagnostic alteration factors in PDE. Based on the distribution of factors and the tendency of factor composition at the group level, these factors were defined as BD sensitive factor, UD sensitive factor and shared basic alteration factor. We further found that the factor composition and the ROIs-based alteration degree (mainly involving in orbitofrontal gyrus and part of parietal lobe) were associated with the bipolar index in IDE-BD patients. Our findings contributed to understanding the core transdiagnostic shared and disease-sensitive alterations in PDE and to predicting the risk of emotional state transition in IDE-BD patients.
© 2022. The Author(s), under exclusive licence to American College of Neuropsychopharmacology.

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Year:  2022        PMID: 35177806      PMCID: PMC9485137          DOI: 10.1038/s41386-022-01290-9

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   8.294


  61 in total

Review 1.  The precuneus: a review of its functional anatomy and behavioural correlates.

Authors:  Andrea E Cavanna; Michael R Trimble
Journal:  Brain       Date:  2006-01-06       Impact factor: 13.501

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3.  Clinical utility of a short resting-state MRI scan in differentiating bipolar from unipolar depression.

Authors:  M Li; T Das; W Deng; Q Wang; Y Li; L Zhao; X Ma; Y Wang; H Yu; X Li; Y Meng; L Palaniyappan; T Li
Journal:  Acta Psychiatr Scand       Date:  2017-05-15       Impact factor: 6.392

Review 4.  Characterization of brain blood flow and the amplitude of low-frequency fluctuations in major depressive disorder: A multimodal meta-analysis.

Authors:  Wenbin Li; Ziqi Chen; Min Wu; Hongyan Zhu; Lei Gu; Youjin Zhao; Weihong Kuang; Feng Bi; Graham J Kemp; Qiyong Gong
Journal:  J Affect Disord       Date:  2016-12-23       Impact factor: 4.839

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6.  Increased hippocampal neurogenesis and p21 expression in depression: dependent on antidepressants, sex, age, and antipsychotic exposure.

Authors:  Jonathan R Epp; Clare L Beasley; Liisa Am Galea
Journal:  Neuropsychopharmacology       Date:  2013-05-23       Impact factor: 7.853

7.  Reconciling Dimensional and Categorical Models of Autism Heterogeneity: A Brain Connectomics and Behavioral Study.

Authors:  Siyi Tang; Nanbo Sun; Dorothea L Floris; Xiuming Zhang; Adriana Di Martino; B T Thomas Yeo
Journal:  Biol Psychiatry       Date:  2019-11-18       Impact factor: 13.382

8.  Amplitude of low-frequency fluctuations in first-episode, drug-naïve depressive patients: A 5-year retrospective study.

Authors:  Kerang Zhang; Zhifen Liu; Xiaohua Cao; Chunxia Yang; Yong Xu; Ting Xu; Cheng Xu; Zhi Yang
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

Review 9.  Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis.

Authors:  Jiaying Gong; Junjing Wang; Shaojuan Qiu; Pan Chen; Zhenye Luo; Jurong Wang; Li Huang; Ying Wang
Journal:  Transl Psychiatry       Date:  2020-10-19       Impact factor: 6.222

10.  Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.

Authors:  Emily S Finn; Xilin Shen; Dustin Scheinost; Monica D Rosenberg; Jessica Huang; Marvin M Chun; Xenophon Papademetris; R Todd Constable
Journal:  Nat Neurosci       Date:  2015-10-12       Impact factor: 24.884

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