Literature DB >> 24176176

Revisiting default mode network function in major depression: evidence for disrupted subsystem connectivity.

F Sambataro1, N D Wolf2, M Pennuto3, N Vasic4, R C Wolf5.   

Abstract

BACKGROUND: Major depressive disorder (MDD) is characterized by alterations in brain function that are identifiable also during the brain's 'resting state'. One functional network that is disrupted in this disorder is the default mode network (DMN), a set of large-scale connected brain regions that oscillate with low-frequency fluctuations and are more active during rest relative to a goal-directed task. Recent studies support the idea that the DMN is not a unitary system, but rather is composed of smaller and distinct functional subsystems that interact with each other. The functional relevance of these subsystems in depression, however, is unclear.
METHOD: Here, we investigated the functional connectivity of distinct DMN subsystems and their interplay in depression using resting-state functional magnetic resonance imaging.
RESULTS: We show that patients with MDD exhibit increased within-network connectivity in posterior, ventral and core DMN subsystems along with reduced interplay from the anterior to the ventral DMN subsystems.
CONCLUSIONS: These data suggest that MDD is characterized by alterations of subsystems within the DMN as well as of their interactions. Our findings highlight a critical role of DMN circuitry in the pathophysiology of MDD, thus suggesting these subsystems as potential therapeutic targets.

Entities:  

Mesh:

Year:  2013        PMID: 24176176     DOI: 10.1017/S0033291713002596

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  51 in total

1.  Chronic deep brain stimulation of the rat ventral medial prefrontal cortex disrupts hippocampal-prefrontal coherence.

Authors:  Nathan Insel; Maryna Pilkiw; José N Nobrega; William D Hutchison; Kaori Takehara-Nishiuchi; Clement Hamani
Journal:  Exp Neurol       Date:  2015-04-01       Impact factor: 5.330

2.  Anomalous single-subject based morphological cortical networks in drug-naive, first-episode major depressive disorder.

Authors:  Taolin Chen; Keith M Kendrick; Jinhui Wang; Min Wu; Kaiming Li; Xiaoqi Huang; Yuejia Luo; Su Lui; John A Sweeney; Qiyong Gong
Journal:  Hum Brain Mapp       Date:  2017-02-08       Impact factor: 5.038

Review 3.  The default network and self-generated thought: component processes, dynamic control, and clinical relevance.

Authors:  Jessica R Andrews-Hanna; Jonathan Smallwood; R Nathan Spreng
Journal:  Ann N Y Acad Sci       Date:  2014-02-06       Impact factor: 5.691

4.  Altered Functional Connectivity of the Default Mode Network in Patients With Schizo-obsessive Comorbidity: A Comparison Between Schizophrenia and Obsessive-compulsive Disorder.

Authors:  Yong-Ming Wang; Lai-Quan Zou; Wen-Lan Xie; Zhuo-Ya Yang; Xiong-Zhao Zhu; Eric F C Cheung; Thomas Alrik Sørensen; Arne Møller; Raymond C K Chan
Journal:  Schizophr Bull       Date:  2019-01-01       Impact factor: 9.306

5.  Meta-analysis of central and peripheral γ-aminobutyric acid levels in patients with unipolar and bipolar depression.

Authors:  Bruno Romeo; Walid Choucha; Philippe Fossati; Jean-Yves Rotge
Journal:  J Psychiatry Neurosci       Date:  2017-10-02       Impact factor: 6.186

Review 6.  The neuroscience of depression: implications for assessment and intervention.

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

Review 7.  Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience.

Authors:  J Paul Hamilton; Madison Farmer; Phoebe Fogelman; Ian H Gotlib
Journal:  Biol Psychiatry       Date:  2015-02-24       Impact factor: 13.382

8.  Emotion-Dependent Functional Connectivity of the Default Mode Network in Adolescent Depression.

Authors:  Tiffany C Ho; Colm G Connolly; Eva Henje Blom; Kaja Z LeWinn; Irina A Strigo; Martin P Paulus; Guido Frank; Jeffrey E Max; Jing Wu; Melanie Chan; Susan F Tapert; Alan N Simmons; Tony T Yang
Journal:  Biol Psychiatry       Date:  2014-09-16       Impact factor: 13.382

9.  Inter-individual differences in the experience of negative emotion predict variations in functional brain architecture.

Authors:  Raluca Petrican; Cristina Saverino; R Shayna Rosenbaum; Cheryl Grady
Journal:  Neuroimage       Date:  2015-08-21       Impact factor: 6.556

Review 10.  Molecular, Functional, and Structural Imaging of Major Depressive Disorder.

Authors:  Kai Zhang; Yunqi Zhu; Yuankai Zhu; Shuang Wu; Hao Liu; Wei Zhang; Caiyun Xu; Hong Zhang; Takuya Hayashi; Mei Tian
Journal:  Neurosci Bull       Date:  2016-05-03       Impact factor: 5.203

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