Uncovering Shared and Distinct Brain Connectome Dynamics in Working Memory Tasks Between Bipolar and Unipolar Depression

IF 3.9 2区 医学 Q1 CLINICAL NEUROLOGY
Fuping Sun, Feiwen Wang, Zhening Liu, Maoxing Zhong, Jun Yang, Jie Yang
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引用次数: 0

Abstract

Objectives

Differences in working memory (WM) may serve to distinguish bipolar disorder depression (BDD) from major depressive disorder (MDD). This work aims to utilize degree centrality (DC), a metric of graph theory, to explore whole-brain dynamic functional connectivity alterations related to WM in the two disorders.

Methods

We calculated the coefficient variation of dynamic DC (CVDC) and utilized clustering analysis to identify persistent meta-stable states of DC configuration in BDD, MDD, and healthy controls (HC) during n-back tasks. We further tested associations of the altered DC and clinical symptoms. Meanwhile, imaging transcriptomic analysis was used to explore the genetic mechanisms underlying the differences in DC between BDD and MDD.

Results

No significant difference was observed in CVDC among the three groups. In the meta-stable state 1 under the ‘2-back vs. 0-back’ contrast, there showed a ladder-like pattern across BDD, MDD, and HC in bilateral parahippocampal gyri, left anterior cingulate cortex, left Heschl gyrus, right precentral gyrus, right precuneus, bilateral middle temporal gyrius, right inferior frontal gyrus, and right superior frontal gyrus. Significant DC differences between BDD and MDD in the right superior frontal gyrus and right middle temporal gyrus were primarily associated with gene enrichment in the chemical synaptic transmission, glutamatergic synapse, calcium ion binding, and pathways of neurodegeneration—multiple diseases pathway.

Conclusion

BDD and MDD showed highly similar aberrant dynamic characteristics of brain functional connectivity when facing increased cognitive demands, but BDD showed a relatively greater magnitude than MDD.

揭示双相抑郁症和单相抑郁症工作记忆任务中共同和独特的脑连接组动态。
目的:工作记忆(WM)的差异可能有助于区分双相情感障碍抑郁症(BDD)和重度抑郁症(MDD)。这项工作旨在利用度中心性(DC),图论的一个度量,来探索两种疾病中与WM相关的全脑动态功能连接改变。方法:计算动态DC (CVDC)的变异系数,并利用聚类分析确定n-back任务中BDD、MDD和健康对照组(HC) DC配置的持续亚稳定状态。我们进一步测试了DC改变与临床症状的关系。同时,利用成像转录组学分析探讨了BDD和MDD之间DC差异的遗传机制。结果:三组间CVDC无显著差异。在“2-back vs. 0-back”对比下的亚稳定状态1中,双侧海马旁回、左侧扣带前皮层、左侧Heschl回、右侧中央前回、右侧楔前叶、双侧颞中回、右侧额下回和右侧额上回的BDD、MDD和HC呈阶梯状分布。BDD和MDD在右侧额上回和右侧颞中回的显著DC差异主要与化学突触传递、谷氨酸突触、钙离子结合、神经退行性多病通路的基因富集有关。结论:BDD和MDD在面对认知需求增加时表现出高度相似的脑功能连通性异常动态特征,但BDD的程度相对大于MDD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bipolar Disorders
Bipolar Disorders 医学-精神病学
CiteScore
8.20
自引率
7.40%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Bipolar Disorders is an international journal that publishes all research of relevance for the basic mechanisms, clinical aspects, or treatment of bipolar disorders and related illnesses. It intends to provide a single international outlet for new research in this area and covers research in the following areas: biochemistry physiology neuropsychopharmacology neuroanatomy neuropathology genetics brain imaging epidemiology phenomenology clinical aspects and therapeutics of bipolar disorders Bipolar Disorders also contains papers that form the development of new therapeutic strategies for these disorders as well as papers on the topics of schizoaffective disorders, and depressive disorders as these can be cyclic disorders with areas of overlap with bipolar disorders. The journal will consider for publication submissions within the domain of: Perspectives, Research Articles, Correspondence, Clinical Corner, and Reflections. Within these there are a number of types of articles: invited editorials, debates, review articles, original articles, commentaries, letters to the editors, clinical conundrums, clinical curiosities, clinical care, and musings.
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