Evidence map›Paper›PMID 32961541›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2021

Intrinsic connectivity of the prefrontal cortex and striato-limbic system respectively differentiate major depressive from generalized anxiety disorder.

Xiaolei Xu, Jing Dai, Yuanshu Chen, Congcong Liu, Fei Xin, Xinqi Zhou, Feng Zhou, Emmanuel A Stamatakis, Shuxia Yao, Lizhu Luo and 7 more

Abstract read
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In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Ecologically-Valid Emotion Signatures Enhance Mood Disorder Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

17 authors.

Xiaolei Xu *The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Jing Dai *The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Yuanshu ChenThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Congcong LiuThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Fei XinThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Xinqi ZhouThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Feng ZhouThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Emmanuel A StamatakisDivision of Anaesthesia, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Hills Rd, Cambridge, CB2 0SP, UK.ORCID http://orcid.org/0000-0001-6955-9601
Shuxia YaoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Lizhu LuoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Yulan HuangDepartment of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
Jinyu WangDepartment of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
Zhili ZouDepartment of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
Deniz VatanseverInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433, Shanghai, China.
Keith M KendrickThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.ORCID http://orcid.org/0000-0002-0371-5904
Bo ZhouDepartment of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China. tonyac7721@163.com.
Benjamin BeckerThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China. ben_becker@gmx.de.ORCID http://orcid.org/0000-0002-9014-9671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent and debilitating disorders. The high overlap on the symptomatic and neurobiological level led to ongoing debates about their diagnostic and neurobiological uniqueness. The present study aims to identify common and disorder-specific neuropathological mechanisms and treatment targets in MDD and GAD. To this end we combined categorical and dimensional disorder models with a fully data-driven intrinsic network-level analysis (intrinsic connectivity contrast, ICC) to resting-state fMRI data acquired in 108 individuals (n = 35 and n = 38 unmedicated patients with first-episode GAD, MDD, respectively, and n = 35 healthy controls). Convergent evidence from categorical and dimensional analyses revealed MDD-specific decreased whole-brain connectivity profiles of the medial prefrontal and dorsolateral prefrontal cortex while GAD was specifically characterized by decreased whole-brain connectivity profiles of the putamen and decreased communication of this region with the amygdala. Together, findings from the present data-driven analysis suggest that intrinsic communication of frontal regions engaged in executive functions and emotion regulation represent depression-specific neurofunctional markers and treatment targets whereas dysregulated intrinsic communication of the striato-amygdala system engaged in reinforcement-based and emotional learning processes represent GAD-specific markers.

Indexed as

Major Depressive DisorderAnxiety DisordersBrainHumansLimbic SystemMagnetic Resonance ImagingPrefrontal Cortex

Identifiers

PMID32961541
PMCPMC8027677

What OpenQuestion holds

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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.