Evidence map›Paper›PMID 38432858›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2023

Associations between abnormal electroencephalogram microstates and childhood emotional abuse in adolescent depression.

Jinhui Hu, Dongdong Zhou, Lin Zhao, Lingli Ma, Xinyu Peng, Xiaoqing He, Ran Chen, Wanjun Chen, Zhenghao Jiang, Li Kuang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 at 3 institutions in 1 country.

Jinhui HuMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331. jinhuihu0530@163.com.
Dongdong ZhouMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331.
Lin ZhaoDepartment of Psychiatry, First Affiliated Hospital, Chongqing Medical University, Chongqing 400042, China.
Lingli MaDepartment of Psychiatry, First Affiliated Hospital, Chongqing Medical University, Chongqing 400042, China.
Xinyu PengDepartment of Psychiatry, First Affiliated Hospital, Chongqing Medical University, Chongqing 400042, China.
Xiaoqing HeMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331.
Ran ChenMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331.
Wanjun ChenMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331.
Zhenghao JiangMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331.
Li KuangMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331.
Wo WangMental Health Center, University-Town Hospital, Chongqing Medical University, Chongqing 401331. wangwo@cqmu.edu.cn.
Chongqing City Mental Health Center · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

the Natural Science Foundation of Chongqing CSTB2022NSCQ-MSX0138
6 · The paper itself

Abstract

objectivesChildhood traumatic experiences greatly influenced the brain network activities of patients with depression, and there is an urgent need to explore the temporal dynamics for these changes. This study aims to investigate the abnormalities of resting-state electroencephalogram (EEG) microstates in eye-open state of depressed adolescents and to explore the correlations between their EEG microstates and the childhood traumatic experience.

methodsUsing resting-state EEG microstate analysis, we explored the temporal dynamics of brain activity in patients with adolescent depression. This study selected 66 adolescents with depression as a patient group, and 27 healthy adolescents as a healthy control group. A modified k-means clustering algorithm was used to classify the 64-channel resting-state EEG data into different microstates. Independent sample

resultsIn this study, significant differences were observed in the occurrence and transition probabilities of EEG microstates between the healthy control and the patient group. Notably, there was a statistically significant difference (

conclusionsThe abnormal temporal dynamics in brain networks of adolescents with depression are linked to childhood emotional abuse. Those who have suffered severe emotional abuse may show greater impairments in the brain's visual and central executive networks. EEG microstate analysis could be a potential tool for detecting adolescent depression with severe childhood trauma.

Indexed as

DepressionEmotional AbuseAdolescentAlgorithmsBrainElectroencephalographyHumansadolescentschildhood traumamajor depressive disordermicrostateresting state electroencephalogram

Identifiers

PMID38432858
PMCPMC10929957
OpenAlexW4394764944

What OpenQuestion holds

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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.