Evidence map›Paper›PMID 36119680›Full record

ArticleFrontiers in neurology2022

Altered functional connectivity in first-episode and recurrent depression: A resting-state functional magnetic resonance imaging study.

Jifei Sun, Zhongming Du, Yue Ma, Limei Chen, Zhi Wang, Chunlei Guo, Yi Luo, Deqiang Gao, Yang Hong, Lei Zhang and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

18 authors at 5 institutions in 1 country.

Jifei SunGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhongming DuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yue MaGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Limei ChenGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhi WangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Chunlei GuoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yi LuoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Deqiang GaoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yang HongGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Lei ZhangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ming HanGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jiudong CaoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xiaobing HouBeijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China.
Xue XiaoBeijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China.
Jing TianBeijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China.
Xue YuBeijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China.
Jiliang FangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yanping ZhaoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGuang’anmen Hospital · CNIntegrated Chinese Medicine (China) · CNChina Academy of Chinese Medical Sciences · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Functional magnetic resonance imaging (fMRI) studies examining differences in the activity of brain networks between the first depressive episode (FDE) and recurrent depressive episode (RDE) are limited. The current study observed and compared the altered functional connectivity (FC) characteristics in the default mode network (DMN), cognitive control network (CCN), and affective network (AN) between the RDE and FDE. In addition, we further investigated the correlation between abnormal FC and clinical symptoms. Methods: We recruited 32 patients with the RDE, 31 patients with the FDE, and 30 healthy controls (HCs). All subjects underwent resting-state fMRI. The seed-based FC method was used to analyze the abnormal brain networks in the DMN, CCN, and AN among the three groups and further explore the correlation between abnormal FC and clinical symptoms. Results: One-way analysis of variance showed significant differences the FC in the DMN, CCN, and AN among the three groups in the frontal, parietal, temporal, and precuneus lobes and cerebellum. Compared with the RDE group, the FDE group generally showed reduced FC in the DMN, CCN, and AN. Compared with the HC group, the FDE group showed reduced FC in the DMN, CCN, and AN, while the RDE group showed reduced FC only in the DMN and AN. Moreover, the FC in the left posterior cingulate cortices and the right inferior temporal gyrus in the RDE group were positively correlated with the 17-item Hamilton Rating Scale for Depression (HAMD-17), and the FC in the left dorsolateral prefrontal cortices and the right precuneus in the FDE group were negatively correlated with the HAMD-17. Conclusions: The RDE and FDE groups showed multiple abnormal brain networks. However, the alterations of abnormal FC were more extensive and intensive in the FDE group.

Indexed as

affective networkcognitive control networkdefault mode networkfirst depressive episodefunctional connectivityrecurrent depressive episode

Identifiers

PMID36119680
PMCPMC9475213
OpenAlexW4294307876

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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.