Literature DB >> 33432537

Functional connectivity patterns of the subgenual anterior cingulate cortex in first-episode refractory major depressive disorder.

Bochao Cheng1, Yajing Meng2, Yan Zuo3, Yi Guo1, Xiuli Wang4, Song Wang5, Ran Zhang6, Wei Deng2, Yingkun Guo7,8, Gang Ning9.   

Abstract

Although accumulating evidence has been elucidating the neuronal basis of refractory/nonrefractory major depressive disorder (rMDD/nrMDD), the results are inconsistent, and little is known about the distinct neural mechanisms underlying rMDD. Here, we explored the convergent/divergent brain networks between first-episode MDD subtypes using the resting-state functional connectivity (RSFC) approach. In total, 33 healthy controls (HCs), 31 first-episode rMDD patients and 33 first-episode nrMDD patients were enrolled and underwent MRI scanning. The left subgenual anterior cingulate cortex (sgACC) was selected as the seed region, and RSFC was employed to evaluate associations between the seed and other regions in the whole brain. Both MDD subtypes exhibited convergent left sgACC-based neural networks, including increased RSFC with the dorsal prefrontal cortex (DPFC) and decreased RSFC with the bilateral orbitofrontal cortex (OFC) and right parahippocampus. rMDD patients exhibited increased left sgACC-OFC RSFC relative to nrMDD patients, and RSFC with the bilateral OFC in rMDD patients was negatively correlated with HAMD scores. These findings confirmed our speculation that convergent and divergent neural networks exist between rMDD and nrMDD. Cortical-limbic circuits, especially the prefrontal-limbic circuit, may serve as the convergent dysfunctional neural circuitry in MDD subtypes. As an important biomarker, a unique OFC-sgACC circuit abnormality was identified in rMDD patients, which might help elucidate the underlying mechanism regarding treatment responses in rMDD patients.

Entities:  

Keywords:  Functional connectivity; MDD; Prefrontal–limbic; Resting-state fMRI; Subgenual ACC

Year:  2021        PMID: 33432537     DOI: 10.1007/s11682-020-00436-x

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  29 in total

1.  Functional anatomical correlates of antidepressant drug treatment assessed using PET measures of regional glucose metabolism.

Authors:  Wayne C Drevets; Wendy Bogers; Marcus E Raichle
Journal:  Eur Neuropsychopharmacol       Date:  2002-12       Impact factor: 4.600

2.  Functional connectivity bias of the orbitofrontal cortex in drug-free patients with major depression.

Authors:  Thomas Frodl; Arun L W Bokde; Johanna Scheuerecker; Danuta Lisiecka; Veronika Schoepf; Harald Hampel; Hans-Jürgen Möller; Hartmut Brückmann; Martin Wiesmann; Eva Meisenzahl
Journal:  Biol Psychiatry       Date:  2010-01-15       Impact factor: 13.382

Review 3.  Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders.

Authors:  W C Drevets
Journal:  Curr Opin Neurobiol       Date:  2001-04       Impact factor: 6.627

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.  Volumetric reduction in left subgenual prefrontal cortex in early onset depression.

Authors:  Kelly N Botteron; Marcus E Raichle; Wayne C Drevets; Andrew C Heath; Richard D Todd
Journal:  Biol Psychiatry       Date:  2002-02-15       Impact factor: 13.382

Review 6.  A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression.

Authors:  Carsten Diener; Christine Kuehner; Wencke Brusniak; Bettina Ubl; Michèle Wessa; Herta Flor
Journal:  Neuroimage       Date:  2012-04-12       Impact factor: 6.556

7.  Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression.

Authors:  Amit Anand; Yu Li; Yang Wang; Mark J Lowe; Mario Dzemidzic
Journal:  Psychiatry Res       Date:  2009-02-20       Impact factor: 3.222

Review 8.  Definition, assessment, and staging of treatment-resistant refractory major depression: a review of current concepts and methods.

Authors:  Marcelo T Berlim; Gustavo Turecki
Journal:  Can J Psychiatry       Date:  2007-01       Impact factor: 4.356

9.  A study of bipolar disorder using magnetization transfer imaging and voxel-based morphometry.

Authors:  S D Bruno; G J Barker; M Cercignani; M Symms; M A Ron
Journal:  Brain       Date:  2004-10-06       Impact factor: 13.501

Review 10.  Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression.

Authors:  Wayne C Drevets; Joseph L Price; Maura L Furey
Journal:  Brain Struct Funct       Date:  2008-08-13       Impact factor: 3.270

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  2 in total

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Authors:  Adam S Grabell; Adrelys Mateo Santana; Kari N Thomsen; Katie Gonzalez; Zhongyang Zhang; Zachary Bivins; Tauhidur Rahman
Journal:  Dev Cogn Neurosci       Date:  2022-05-03       Impact factor: 5.811

2.  Prediction of remission among patients with a major depressive disorder based on the resting-state functional connectivity of emotion regulation networks.

Authors:  Hang Wu; Rui Liu; Jingjing Zhou; Lei Feng; Yun Wang; Xiongying Chen; Zhifang Zhang; Jian Cui; Yuan Zhou; Gang Wang
Journal:  Transl Psychiatry       Date:  2022-09-17       Impact factor: 7.989

  2 in total

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