Evidence map›Paper›PMID 40188214›Full record

ArticleScientific reports2025

Multimodal MRI analysis of COVID-19 effects on pediatric brain.

Ting Peng, Chaowei Zhang, Pingping Xie, Ying Lin, Lin Zhang, Zuozhen Lan, Mingwen Yang, Xianghui Huang, Jungang Liu, Guoqiang Cheng

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Ting Peng *Fujian Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China.
Chaowei Zhang *Department of Neonatology, People's Hospital of Longhua, Shenzhen, 518000, China.
Pingping Xie *Department of Neonatology, Children's Hospital of Fudan University, Shanghai, 201102, China.
Ying LinFujian Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China.
Lin ZhangDepartment of Radiology, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China.
Zuozhen LanDepartment of Radiology, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China.
Mingwen YangDepartment of Radiology, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China.
Xianghui HuangFujian Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China. xmhxh2013@163.com.
Jungang LiuDepartment of Radiology, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China. jgliu_XMChospital@hotmail.com.
Guoqiang ChengFujian Key Laboratory of Neonatal Diseases, Children's Hospital of Fudan University (Xiamen Branch), Xiamen Children's Hospital, Xiamen, 361000, China. gqcheng_cm@fudan.edu.cn.

Funding

Key Program of the Xiamen Medical and Health No. 3502Z20234013
6 · The paper itself

Abstract

The COVID-19 pandemic has raised significant concerns regarding its impact on the central nervous system, including the brain. While the effects on adult populations are well documented, less is known about its implications for pediatric populations. This study investigates alterations in cortical metrics and structural covariance networks (SCNs) based on the Local Gyrification Index (LGI) in children with mild COVID-19, alongside changes in non-invasive MRI proxies related to glymphatic function. We enrolled 19 children with COVID-19 and 22 age-comparable healthy controls. High-resolution T1-weighted and diffusion-weighted MRI images were acquired. Cortical metrics, including thickness, surface area, volume, and LGI, were compared using vertex-wise general linear models. SCNs were analyzed for differences in global and nodal metrics, and MRI proxies, including diffusion tensor imaging along the perivascular space and choroid plexus (CP) volume, were also assessed. Our results showed increased cortical area, volume, and LGI in the left superior parietal cortex, as well as increased cortical thickness in the left lateral occipital cortex among children with COVID-19. SCN analysis revealed altered network topology and larger CP volumes in the COVID group, suggesting virus-induced neuroinflammation. These findings provide evidence of potential brain alterations in children following mild COVID-19, emphasizing the need for further investigation into long-term neurodevelopmental outcomes.

Indexed as

BrainCOVID-19Magnetic Resonance ImagingAdolescentCase-Control StudiesChildChild, PreschoolDiffusion Tensor ImagingFemaleHumansMaleMultimodal ImagingSARS-CoV-2COVIDGlymphatic functionStructural covariance network

Identifiers

PMID40188214
PMCPMC11972372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.