Literature DB >> 32469830

Anterior cingulate cortex, insula and amygdala seed-based whole brain resting-state functional connectivity differentiates bipolar from unipolar depression.

Hua Yu1, Ming-Li Li1, Yin-Fei Li1, Xiao-Jing Li1, Yajing Meng1, Sugai Liang1, Zhe Li1, Wanjun Guo1, Qiang Wang1, Wei Deng1, Xiaohong Ma1, Jeremy Coid1, D Tao Li2.   

Abstract

OBJECTIVE: The frontal-limbic circuit is hypothesized as sub-serving emotional regulation. We performed whole brain resting-state functional connectivity (rs-FC) analysis by studying the key hubs of frontal-limbic circuit: anterior cingulate cortex (ACC), bilateral insula subregions, bilateral amygdala (Amy) as seeds, separately, to discriminate bipolar depression (BipD) from unipolar depression (UniD).
METHODS: We compared seed-based rs-FC of the frontal-limbic seeds with whole brain among 23 BipD participants; 23 age, gender, and depression severity matched patients with UniD, and 23 healthy controls (HCs). We also used support vector machine learning to study classification based on the rs-FC of ACC, bilateral insula subregions, and bilateral Amy seeds with whole brain.
RESULTS: BipD showed increased rs-FC between the left ventral anterior insula (vAI) seed and the left anterior supramarginal gyrus (aSMG) and left postcentral gyrus, as well as increased rs-FC between left amygdala seed and the left aSMG when compared to HCs and UniD. Compared to UniD, BipD was associated with increased rs-FC between right dorsal anterior insula seed and right superior frontal gyrus, as well as increased rs-FC between left posterior insula seed and right precentral gyrus and right thalamus. Combined rs-FC of ACC, bilateral insula subregions and bilateral Amy seeds with the whole brain discriminated BipD from UniD with an accuracy of 91.30%.
CONCLUSIONS: Rs-FC of the emotional regulation circuit is more widely disturbed in BipD than UniD. Using rs-FC with this circuit may lead to further developments in diagnostic decision-making.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bipolar depression; Different patterns; Functional connectivity; Support vector machine learning; Unipolar depression

Mesh:

Year:  2020        PMID: 32469830     DOI: 10.1016/j.jad.2020.05.005

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  3 in total

Review 1.  Reviewing applications of structural and functional MRI for bipolar disorder.

Authors:  Joseph Waller; Tyler Miao; Ifeoma Ikedionwu; Keldon K Lin
Journal:  Jpn J Radiol       Date:  2021-01-02       Impact factor: 2.374

2.  Disrupted functional connectivity patterns of the left inferior frontal gyrus subregions in benign childhood epilepsy with centrotemporal spikes.

Authors:  Yang Yang; Fuqin Wang; René Andrade-Machado; Andrea De Vito; Jiaojian Wang; Tijiang Zhang; Heng Liu
Journal:  Transl Pediatr       Date:  2022-09

3.  Altered Functional Connectivity of Insular Subregions in Type 2 Diabetes Mellitus.

Authors:  Dongsheng Zhang; Man Wang; Jie Gao; Yang Huang; Fei Qi; Yumeng Lei; Kai Ai; Xuejiao Yan; Miao Cheng; Yu Su; Xiaoyan Lei; Xiaoling Zhang
Journal:  Front Neurosci       Date:  2021-06-16       Impact factor: 4.677

  3 in total

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