Literature DB >> 23352887

Abnormal resting-state cerebellar-cerebral functional connectivity in treatment-resistant depression and treatment sensitive depression.

Wenbin Guo1, Feng Liu, Zhimin Xue, Keming Gao, Zhening Liu, Changqing Xiao, Huafu Chen, Jingping Zhao.   

Abstract

BACKGROUND: Previous studies have commonly shown that patients with treatment-resistant depression (TRD) and treatment-sensitive depression (TSD) demonstrate a different cerebellar activity. No study has yet explored resting-state cerebellar-cerebral functional connectivity (FC) in these two groups. Here, seed-based FC approach was employed to test the hypothesis that patients with TRD and TSD had a different cerebellar-cerebral FC. The identified FC might be used to differentiate TRD from TSD.
METHODS: Twenty-three patients with TRD, 22 patients with TSD, and 19 healthy subjects (HS) matched with age, gender, and education level participated in the scans. Seed-based connectivity analyses were performed by using cerebellar seeds.
RESULTS: Relative to HS, both patient groups showed significantly decreased cerebellar-cerebral FC with the prefrontal cortex (PFC) (superior, middle, and inferior frontal gyrus) and default mode network (DMN) [superior, middle, and inferior temporal gyrus, precuneus (PCu), and inferior parietal lobule (IPL)], and increased FC with visual recognition network (lingual gyrus, middle occipital gyrus, and fusiform) and parahippocampal gyrus. However, the TRD group exhibited a more decreased FC than the TSD group, mainly in connected regions within DMN [PCu, angular gyrus (AG) and IPL]. Further receiver operating characteristic curves (ROC) analyses showed that cerebellar-DMN couplings could be applied as markers to differentiate the two subtypes with relatively high sensitivity and specificity.
CONCLUSIONS: Both patient groups demonstrate similar pattern of abnormal cerebellar-cerebral FC. Decreased FC between the cerebellum and regions within DMN might be used to separate the two patient groups.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23352887     DOI: 10.1016/j.pnpbp.2013.01.010

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  48 in total

1.  Sub-hubs of baseline functional brain networks are related to early improvement following two-week pharmacological therapy for major depressive disorder.

Authors:  Yuedi Shen; Jiashu Yao; Xueyan Jiang; Lei Zhang; Luoyi Xu; Rui Feng; Liqiang Cai; Jing Liu; Jinhui Wang; Wei Chen
Journal:  Hum Brain Mapp       Date:  2015-04-30       Impact factor: 5.038

2.  Resting-state neural signatures of depressive symptoms in acute HIV.

Authors:  Carissa L Philippi; Leah Reyna; Laura Nedderman; Phillip Chan; Vishal Samboju; Kevin Chang; Nittaya Phanuphak; Nisakorn Ratnaratorn; Joanna Hellmuth; Khunthalee Benjapornpong; Netsiri Dumrongpisutikul; Mantana Pothisri; Merlin L Robb; Jintanat Ananworanich; Serena Spudich; Victor Valcour; Robert Paul
Journal:  J Neurovirol       Date:  2020-01-27       Impact factor: 2.643

Review 3.  Clinical utility of resting-state functional connectivity magnetic resonance imaging for mood and cognitive disorders.

Authors:  T Takamura; T Hanakawa
Journal:  J Neural Transm (Vienna)       Date:  2017-03-23       Impact factor: 3.575

4.  Group differences in MEG-ICA derived resting state networks: Application to major depressive disorder.

Authors:  Allison C Nugent; Stephen E Robinson; Richard Coppola; Maura L Furey; Carlos A Zarate
Journal:  Neuroimage       Date:  2015-05-30       Impact factor: 6.556

5.  Consensus Paper: Cerebellum and Emotion.

Authors:  M Adamaszek; F D'Agata; R Ferrucci; C Habas; S Keulen; K C Kirkby; M Leggio; P Mariën; M Molinari; E Moulton; L Orsi; F Van Overwalle; C Papadelis; A Priori; B Sacchetti; D J Schutter; C Styliadis; J Verhoeven
Journal:  Cerebellum       Date:  2017-04       Impact factor: 3.847

6.  Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.

Authors:  Roselinde H Kaiser; Jessica R Andrews-Hanna; Tor D Wager; Diego A Pizzagalli
Journal:  JAMA Psychiatry       Date:  2015-06       Impact factor: 21.596

7.  Aberrant intrinsic functional connectivity in thalamo-cortical networks in major depressive disorder.

Authors:  Qing-Mei Kong; Hong Qiao; Chao-Zhong Liu; Ping Zhang; Ke Li; Li Wang; Ji-Tao Li; Yun'Ai Su; Ke-Qing Li; Chao-Gan Yan; Philip B Mitchell; Tian-Mei Si
Journal:  CNS Neurosci Ther       Date:  2018-02-28       Impact factor: 5.243

Review 8.  The neuroscience of depression: implications for assessment and intervention.

Authors:  Manpreet K Singh; Ian H Gotlib
Journal:  Behav Res Ther       Date:  2014-09-04

9.  Increased neural activity during overt and continuous semantic verbal fluency in major depression: mainly a failure to deactivate.

Authors:  Heidelore Backes; Bruno Dietsche; Arne Nagels; Mirjam Stratmann; Carsten Konrad; Tilo Kircher; Axel Krug
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-02-21       Impact factor: 5.270

10.  Preliminary differences in resting state MEG functional connectivity pre- and post-ketamine in major depressive disorder.

Authors:  Allison C Nugent; Stephen E Robinson; Richard Coppola; Carlos A Zarate
Journal:  Psychiatry Res Neuroimaging       Date:  2016-06-23       Impact factor: 2.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.