Evidence map›Paper›PMID 37643521›Full record

ArticleNeuroImage. Clinical2023

Morphometric similarity network alterations in COVID-19 survivors correlate with behavioral features and transcriptional signatures.

Jia Long, Jiao Li, Bing Xie, Zhuomin Jiao, Guoqiang Shen, Wei Liao, Xiaomin Song, Hongbo Le, Jun Xia, Song Wu

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Morphometric Similarity Patterning of Amyloid-International journal of molecular sciences · 2024
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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

10 authors at 3 institutions in 1 country.

Jia LongDepartment of Radiology, South China Hospital, Medical School, Shenzhen University, Shenzhen 518116, PR China.
Jiao LiSchool of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, 610054, PR China.
Bing XieDepartment of Radiology, South China Hospital, Medical School, Shenzhen University, Shenzhen 518116, PR China.
Zhuomin JiaoDepartment of Neurology, South China Hospital, Medical School, Shenzhen University, Shenzhen 518116, PR China.
Guoqiang ShenDepartment of Radiology, South China Hospital, Medical School, Shenzhen University, Shenzhen 518116, PR China.
Wei LiaoSchool of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, 610054, PR China.
Xiaomin SongDepartment of Radiology, South China Hospital, Medical School, Shenzhen University, Shenzhen 518116, PR China.
Hongbo LeDepartment of Radiology, South China Hospital, Medical School, Shenzhen University, Shenzhen 518116, PR China. Electronic address: yuehb@mail2.sysu.edu.cn.
Jun XiaDepartment of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen 518035, PR China. Electronic address: xiajun@email.szu.edu.cn.
Song WuSouth China Hospital, Medical School, Shenzhen University, Shenzhen 518116, PR China. Electronic address: wusong@szu.edu.cn.
Shenzhen University · CNUniversity of Electronic Science and Technology of China · CNShenzhen Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the differences in the cortical morphometric similarity network (MSN) between COVID-19 survivors and healthy controls, and the correlation between these differences and behavioralfeatures and transcriptional signatures. MATERIALS &

methods39 COVID-19 survivors and 39 age-, sex- and education years-matched healthy controls (HCs) were included. All participants underwent MRI and behavioral assessments (PCL-17, GAD-7, PHQ-9). MSN analysis was used to compute COVID-19 survivors vs. HCs differences across brain regions. Correlation analysis was used to determine the associations between regional MSN differences and behavioral assessments, and determine the spatial similarities between regional MSN differences and risk genes transcriptional activity.

resultsCOVID-19 survivors exhibited decreased regional MSN in insula, precuneus, transverse temporal, entorhinal, para-hippocampal, rostral middle frontal and supramarginal cortices, and increased regional MSN in pars triangularis, lateral orbitofrontal, superior frontal, superior parietal, postcentral, and inferior temporal cortices. Regional MSN value of lateral orbitofrontal cortex was positively associated with GAD-7 and PHQ-9 scores, and rostral middle frontal was negatively related to PHQ-9 scores. The analysis of spatial similarities showed that seven risk genes (MFGE8, MOB2, NUP62, PMPCA, SDSL, TMEM178B, and ZBTB11) were related to regional MSN values.

conclusionThe MSN differences were associated with behavioral and transcriptional signatures, early psychological counseling or intervention may be required to COVID-19 survivors. Our study provided a new insight into understanding the altered coordination of structure in COVID-19 and may offer a new endophenotype to further investigate the brain substrate.

Indexed as

COVID-19BrainEducational StatusEndophenotypesHippocampusHumansAllen Human Brain AtlasBehavioral assessmentCOVID-19Gene transcriptionMorphometric similarity network

Identifiers

PMID37643521
PMCPMC10474075
OpenAlexW4386102110

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.