Evidence map›Paper›PMID 35318540›Full record

ArticleEuropean child & adolescent psychiatry2023

Abnormal voxel-wise whole-brain functional connectivity in first-episode, drug-naïve adolescents with major depression disorder.

Ruiping Zheng, Yuan Chen, Yu Jiang, Bingqian Zhou, Shaoqiang Han, Yarui Wei, Caihong Wang, Jingliang Cheng

Abstract read
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In one paragraph

Article in European child & adolescent psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Resting-state functional connectivity of the default mode network as a predictor for escitalopram response in adolescents with depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ruiping ZhengFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Yuan ChenFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Yu JiangFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Bingqian ZhouFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Shaoqiang HanFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Yarui WeiFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Caihong WangFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Jingliang ChengFunctional and Molecular Imaging Key Laboratory of Henan Province, Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China. fccchengjl@zzu.edu.cn.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depression disorder (MDD) is one of the most common psychiatric disorders. Previous studies have demonstrated structural and functional abnormalities in adult depression. However, the neurobiology of adolescent depression has not been fully understood. The aim of this study was to investigate the intrinsic dysconnectivity pattern of voxel-level whole-brain functional networks in first-episode, drug-naïve adolescents with MDD. Resting-state functional magnetic resonance imaging data were acquired from 66 depressed adolescents and 47 matched healthy controls. Voxel-wise degree centrality (DC) analysis was performed to identify voxels that showed altered whole-brain functional connectivity (FC) with other voxels. We further conducted seed-based FC analysis to investigate in more detail the connectivity patterns of the identified DC changes. The relationship between altered DC and clinical variables in depressed adolescents was also analyzed. Compared with controls, depressed adolescents showed lower DC in the bilateral hippocampus, left superior temporal gyrus and right insula. Seed-based analysis revealed that depressed adolescents, relative to controls, showed hypoconnectivity between the hippocampus to the medial prefrontal regions and right precuneus. Furthermore, the DC values in the bilateral hippocampus were correlated with the Hamilton Depression Rating Scale score and duration of disease (all P < 0.05, false discovery rate corrected). Our study indicates abnormal intrinsic dysconnectivity patterns of whole-brain functional networks in drug-naïve, first-episode adolescents with MDD, and abnormal DC in the hippocampus may affect the association of prefrontal-hippocampus circuit. These findings may provide new insights into the pathophysiology of adolescent-onset MDD.

Indexed as

Major Depressive DisorderAdolescentAdultBrainBrain MappingDepressionHumansMagnetic Resonance ImagingAdolescentDegree centralityFunctional connectivityMajor depressive disorderResting-state functional magnetic resonance imaging

Identifiers

PMID35318540
OpenAlexW4220951428

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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.