Literature DB >> 25957017

Dissociated large-scale functional connectivity networks of the precuneus in medication-naïve first-episode depression.

Daihui Peng1, Elizabeth B Liddle2, Sarina J Iwabuchi2, Chen Zhang3, Zhiguo Wu1, Jun Liu4, Kaida Jiang4, Lin Xu5, Peter F Liddle2, Lena Palaniyappan6, Yiru Fang7.   

Abstract

An imbalance in neural activity within large-scale networks appears to be an important pathophysiological aspect of depression. Yet, there is little consensus regarding the abnormality within the default mode network (DMN) in major depressive disorder (MDD). In the present study, 16 first-episode, medication-naïve patients with MDD and 16 matched healthy controls underwent functional magnetic resonance imaging (fMRI) at rest. With the precuneus (a central node of the DMN) as a seed region, functional connectivity (FC) was measured across the entire brain. The association between the FC of the precuneus and overall symptom severity was assessed using the Hamilton Depression Rating Scale. Patients with MDD exhibited a more negative relationship between the precuneus and the non-DMN regions, including the sensory processing regions (fusiform gyrus, postcentral gyrus) and the secondary motor cortex (supplementary motor area and precentral gyrus). Moreover, greater severity of depression was associated with greater anti-correlation between the precuneus and the temporo-parietal junction as well as stronger positive connectivity between the precuneus and the dorsomedial prefrontal cortex. These results indicate that dissociated large-scale networks of the precuneus may contribute to the clinical expression of depression in MDD.
Copyright © 2015. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Depression; Functional connectivity network; Functional magnetic resonance imaging; Precuneus; Resting state

Mesh:

Year:  2015        PMID: 25957017     DOI: 10.1016/j.pscychresns.2015.03.003

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  23 in total

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Review 2.  Clinical utility of resting-state functional connectivity magnetic resonance imaging for mood and cognitive disorders.

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Review 3.  The Current Situation on Major Depressive Disorder in China: Research on Mechanisms and Clinical Practice.

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Authors:  Maria A Rocca; Emanuele Pravatà; Paola Valsasina; Marta Radaelli; Bruno Colombo; Laura Vacchi; Claudio Gobbi; Giancarlo Comi; Andrea Falini; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2015-09-14       Impact factor: 5.038

5.  A pilot study of cortical glutathione in youth with depression.

Authors:  Rachel D Freed; Cecilia N Hollenhorst; Nora Weiduschat; Xiangling Mao; Guoxin Kang; Dikoma C Shungu; Vilma Gabbay
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6.  Elevated peripheral inflammation is associated with attenuated striatal reward anticipation in major depressive disorder.

Authors:  Kaiping Burrows; Jennifer L Stewart; Rayus Kuplicki; Leandra Figueroa-Hall; Philip A Spechler; Haixia Zheng; Salvador M Guinjoan; Jonathan B Savitz; T Kent Teague; Martin P Paulus
Journal:  Brain Behav Immun       Date:  2021-01-26       Impact factor: 19.227

Review 7.  Role of Hybrid Brain Imaging in Neuropsychiatric Disorders.

Authors:  Amer M Burhan; Nicole M Marlatt; Lena Palaniyappan; Udunna C Anazodo; Frank S Prato
Journal:  Diagnostics (Basel)       Date:  2015-12-04

8.  Altered regional homogeneity in patients with unilateral acute open-globe injury: a resting-state functional MRI study.

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Journal:  Neuropsychiatr Dis Treat       Date:  2016-08-01       Impact factor: 2.570

9.  Reduced functional connectivity between bilateral precuneus and contralateral parahippocampus in schizotypal personality disorder.

Authors:  Yikang Zhu; Yunxiang Tang; Tianhong Zhang; Hui Li; Yingying Tang; Chunbo Li; Xingguang Luo; Yongguang He; Zheng Lu; Jijun Wang
Journal:  BMC Psychiatry       Date:  2017-02-02       Impact factor: 3.630

10.  Different spatial patterns of brain atrophy and global functional connectivity impairments in major depressive disorder.

Authors:  Chuanjun Zhuo; Jiajia Zhu; Chunli Wang; Hongru Qu; Xiaolei Ma; Wen Qin
Journal:  Brain Imaging Behav       Date:  2017-12       Impact factor: 3.978

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