Evidence map›Paper›PMID 32346374›Full record

ArticleFrontiers in psychology2020

Altered Spontaneous Neural Activity in Peripartum Depression: A Resting-State Functional Magnetic Resonance Imaging Study.

Kaili Che, Ning Mao, Yuna Li, Meijie Liu, Heng Ma, Wei Bai, Xiao Xu, Jianjun Dong, Ying Li, Yinghong Shi and 1 more

Abstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Review
  6. Psychedelic therapy and postpartum depression: priorities and prospects.Therapeutic advances in psychopharmacology · 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

11 authors.

Kaili CheDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Ning MaoDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Yuna LiDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Meijie LiuClinical Medical College, Binzhou Medical University, Yantai, China.
Heng MaDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Wei BaiDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Xiao XuMedical Imaging Department, Weifang Medical University, Weifang, China.
Jianjun DongDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Ying LiDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yinghong ShiDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Haizhu XieDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormalities related to peripartum depression (PPD) have been detected in several brain regions through tasking-state functional magnetic resonance imaging (fMRI). In this study, we used the two markers of resting-state fMRI (rs-fMRI) to investigate changes in spontaneous neural activity of PPD and their correlation with depression severity. A total of 16 individuals with PPD were compared with 16 age- and education-matched healthy controls (HCs) by using rs-fMRI. Two-sample

Indexed as

dorsolateral prefrontal cortexfractional amplitude of low-frequency fluctuationperipartum depressionregional homogeneityresting-state functional MRI

Identifiers

PMID32346374
PMCPMC7172032

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.