Literature DB >> 30206663

Abnormal intrinsic cerebro-cerebellar functional connectivity in un-medicated patients with bipolar disorder and major depressive disorder.

Yuan He1, Ying Wang2, Ting-Ting Chang3, Yanbin Jia4, Junjing Wang5, Shuming Zhong4, Huiyuan Huang1, Yao Sun6, Feng Deng1, Xiaoyan Wu1, Chen Niu1, Li Huang6, Guolin Ma7, Ruiwang Huang8,9.   

Abstract

OBJECTIVE: The cerebellum plays an important role in depression. Cerebro-cerebellar circuits have been found to show aberrance in bipolar disorder (BD) and major depressive disorder (MDD). However, whether the cerebro-cerebellar connectivity contributes equally to the pathologic mechanisms of BD and MDD remains unknown.
METHODS: We recruited 33 patients with MDD, 32 patients with BD, and 43 healthy controls (HC). We selected six seed regions (three per hemisphere) in the cerebrum, corresponding to the affective, cognitive control, and default mode networks, to establish cerebro-cerebellar functional connectivity maps.
RESULTS: Relative to the HC, both the BD and MDD patients exhibited weaker negative connectivity between the right subgenual anterior cingulate cortex and the cerebellar vermis IV_V (pBD = 0.03, pMDD = 0.001) and weaker positive connectivity between the left precuneus and the left cerebellar lobule IX (pBD = 0.043, pMDD = 0.000). Moreover, the MDD patients showed weaker positive connectivity in the left precuneus-left cerebellar lobule IX circuit than the BD patients (p = 0.049). In addition, the BD patients showed weaker positive connectivity in the right dorsolateral prefrontal cortex-left cerebellar lobule Crus Ι circuit compared to the HC (p = 0.002) or the MDD patients (p = 0.013). Receiver operating characteristic curves analyses showed that the altered cerebro-cerebellar connectivities could be used to distinguish the patients from the HC with relatively high accuracy.
CONCLUSIONS: Our findings suggested that differences in connectivity of cerebro-cerebellar circuits, which are involved in affective or cognitive functioning, significantly contributed to BD and MDD.

Entities:  

Keywords:  Functional MRI; Mood disorders; Neuropsychiatry

Mesh:

Year:  2018        PMID: 30206663     DOI: 10.1007/s00213-018-5021-6

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


  88 in total

1.  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

2.  Differential brain network activity across mood states in bipolar disorder.

Authors:  Roscoe O Brady; Neeraj Tandon; Grace A Masters; Allison Margolis; Bruce M Cohen; Matcheri Keshavan; Dost Öngür
Journal:  J Affect Disord       Date:  2016-10-06       Impact factor: 4.839

3.  Altered effective connectivity model in the default mode network between bipolar and unipolar depression based on resting-state fMRI.

Authors:  Yunting Liu; Xia Wu; Jiacai Zhang; Xiaojuan Guo; Zhiying Long; Li Yao
Journal:  J Affect Disord       Date:  2015-04-11       Impact factor: 4.839

4.  Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study.

Authors:  Amit Anand; Yu Li; Yang Wang; Jingwei Wu; Sujuan Gao; Lubna Bukhari; Vincent P Mathews; Andrew Kalnin; Mark J Lowe
Journal:  Biol Psychiatry       Date:  2005-05-15       Impact factor: 13.382

5.  Affective neural circuitry during facial emotion processing in pediatric bipolar disorder.

Authors:  Mani N Pavuluri; Megan Marlow O'Connor; Erin Harral; John A Sweeney
Journal:  Biol Psychiatry       Date:  2006-11-09       Impact factor: 13.382

6.  Cerebellar volume change in response to electroconvulsive therapy in patients with major depression.

Authors:  Malte S Depping; Henrike M Nolte; Dusan Hirjak; Elisa Palm; Stefan Hofer; Bram Stieltjes; Klaus Maier-Hein; Fabio Sambataro; Robert C Wolf; Philipp A Thomann
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2016-09-22       Impact factor: 5.067

7.  Resting state functional connectivity of five neural networks in bipolar disorder and schizophrenia.

Authors:  Daniel Mamah; Deanna M Barch; Grega Repovš
Journal:  J Affect Disord       Date:  2013-03-13       Impact factor: 4.839

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

Authors:  Wenbin Guo; Feng Liu; Zhimin Xue; Keming Gao; Zhening Liu; Changqing Xiao; Huafu Chen; Jingping Zhao
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2013-01-23       Impact factor: 5.067

Review 9.  Computational meta-analysis of statistical parametric maps in major depression.

Authors:  Danilo Arnone; Dominic Job; Sudhakar Selvaraj; Osamu Abe; Francesco Amico; Yuqi Cheng; Sean J Colloby; John T O'Brien; Thomas Frodl; Ian H Gotlib; Byung-Joo Ham; M Justin Kim; P Cédric M P Koolschijn; Cintia A-M Périco; Giacomo Salvadore; Alan J Thomas; Marie-José Van Tol; Nic J A van der Wee; Dick J Veltman; Gerd Wagner; Andrew M McIntosh
Journal:  Hum Brain Mapp       Date:  2016-02-08       Impact factor: 5.038

10.  Environmental factors linked to depression vulnerability are associated with altered cerebellar resting-state synchronization.

Authors:  Aldo Córdova-Palomera; Cristian Tornador; Carles Falcón; Nuria Bargalló; Paolo Brambilla; Benedicto Crespo-Facorro; Gustavo Deco; Lourdes Fañanás
Journal:  Sci Rep       Date:  2016-11-28       Impact factor: 4.379

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  3 in total

1.  Neural correlates of reward processing distinguish healthy youth at familial risk for bipolar disorder from youth at familial risk for major depressive disorder.

Authors:  Akua F Nimarko; Aaron J Gorelik; Kayla E Carta; Mark G Gorelik; Manpreet K Singh
Journal:  Transl Psychiatry       Date:  2022-01-24       Impact factor: 6.222

2.  Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder.

Authors:  Yen-Ling Chen; Pei-Chi Tu; Tzu-Hsuan Huang; Ya-Mei Bai; Tung-Ping Su; Mu-Hong Chen; Yu-Te Wu
Journal:  Front Neurosci       Date:  2020-10-20       Impact factor: 4.677

Review 3.  Altered functional activity in bipolar disorder: A comprehensive review from a large-scale network perspective.

Authors:  Sujung Yoon; Tammy D Kim; Jungyoon Kim; In Kyoon Lyoo
Journal:  Brain Behav       Date:  2020-11-18       Impact factor: 2.708

  3 in total

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