Evidence map›Paper›PMID 25033474›Full record

ArticleJournal of affective disorders2014

Altered brain network modules induce helplessness in major depressive disorder.

Daihui Peng, Feng Shi, Ting Shen, Ziwen Peng, Chen Zhang, Xiaohua Liu, Meihui Qiu, Jun Liu, Kaida Jiang, Yiru Fang and 1 more

Abstract read
In one paragraph

Article in Journal of affective disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  12. Prefrontal cortex and depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
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  19. Differences in Driving Intention Transitions Caused by Driver's Emotion Evolutions.International journal of environmental research and public health · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Daihui PengDivision of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wanping South Road, Shanghai 200030, PR China; Department of Radiology and BRIC, University of North Carolina, 130 Mason Farm Road, Chapel Hill, NC 27599-7513, USA.
Feng ShiDepartment of Radiology and BRIC, University of North Carolina, 130 Mason Farm Road, Chapel Hill, NC 27599-7513, USA.
Ting ShenDivision of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wanping South Road, Shanghai 200030, PR China.
Ziwen PengDepartment of Radiology and BRIC, University of North Carolina, 130 Mason Farm Road, Chapel Hill, NC 27599-7513, USA.
Chen ZhangDivision of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wanping South Road, Shanghai 200030, PR China.
Xiaohua LiuDivision of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wanping South Road, Shanghai 200030, PR China.
Meihui QiuDivision of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wanping South Road, Shanghai 200030, PR China.
Jun LiuDepartment of Medical Imaging, the Fifth People׳s Hospital of Shanghai, Shanghai, PR China.
Kaida JiangHuashan Hospital, Fudan University, Shanghai, PR China.
Yiru FangDivision of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wanping South Road, Shanghai 200030, PR China. Electronic address: yirufang@gmail.com.
Dinggang ShenDepartment of Radiology and BRIC, University of North Carolina, 130 Mason Farm Road, Chapel Hill, NC 27599-7513, USA; Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea. Electronic address: dgshen@med.unc.edu.

Funding

Longitudinal Mapping of Human Brain Development in the First Years of LifeR01EB008374 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2009 to 2024
$5.1M
Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRIR01EB006733 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YAP, PEW-THIAN · 2008 to 2020
$4.5M
Quantifying Brain Abnormality by Multimodality Neuroimage Analysis,R01AG041721 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, MINGXIA · 2012 to 2019
$3.0M
Infant Brain Measurement and Super-Resolution Atlas ConstructionR01MH100217 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEN, DINGGANG · 2013 to 2016
$2.3M
Assessing Large-scale Brain Connectivities in Mild Cognitive ImpairmentR01AG042599 · NIA · UNIVERSITY OF GEORGIA · PI LIU, TIANMING · 2013 to 2017
$1.4M
Fast, Robust Analysis of Large Population DataR01EB009634 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEN, DINGGANG · 2011 to 2014
$1.3M
NIA NIH HHS AG041721NIA NIH HHS AG042599NIA NIH HHS R01 AG041721NIA NIH HHS R01 AG042599NIBIB NIH HHS EB006733NIBIB NIH HHS EB008374NIBIB NIH HHS EB009634NIBIB NIH HHS R01 EB006733NIBIB NIH HHS R01 EB008374NIBIB NIH HHS R01 EB009634NIMH NIH HHS MH100217NIMH NIH HHS R01 MH100217
6 · The paper itself

Abstract

objectiveThe abnormal brain functional connectivity (FC) has been assumed to be a pathophysiological aspect of major depressive disorder (MDD). However, it is poorly understood, regarding the underlying patterns of global FC network and their relationships with the clinical characteristics of MDD.

methodsResting-state functional magnetic resonance imaging data were acquired from 16 first episode, medication-naïve MDD patients and 16 healthy control subjects. The global FC network was constructed using 90 brain regions. The global topological patterns, e.g., small-worldness and modularity, and their relationships with depressive characteristics were investigated. Furthermore, the participant coefficient and module degree of MDD patients were measured to reflect the regional roles in module network, and the impairment of FC was examined by network based statistic.

resultsSmall-world property was not altered in MDD. However, MDD patients exhibited 5 atypically reorganized modules compared to the controls. A positive relationship was also found among MDD patients between the intra-module I and helplessness factor evaluated via the Hamilton Depression Scale. Specifically, eight regions exhibited the abnormal participant coefficient or module degree, e.g., left superior orbital frontal cortex and right amygdala. The decreased FC was identified among the sub-network of 24 brain regions, e.g., frontal cortex, supplementary motor area, amygdala, thalamus, and hippocampus. LIMITATION: The limited size of MDD samples precluded meaningful study of distinct clinical characteristics in relation to aberrant FC.

conclusionsThe results revealed altered patterns of brain module network at the global level in MDD patients, which might contribute to the feelings of helplessness.

Indexed as

Helplessness, LearnedMagnetic Resonance ImagingAdultBrainCase-Control StudiesEmotionsFemaleHumansMajor Depressive DisorderMaleMiddle AgedPsychiatric Status Rating ScalesResearch DesignFunctional connectivityHelplessnessMajor depressive disorderModularitySmall-worldness

Identifiers

PMID25033474
PMCPMC5321069

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.