Evidence map›Paper›PMID 40230529›Full record

ArticleiScience2025

Segregation and integration of resting-state brain networks in a longitudinal long COVID cohort.

Yuchen Zhang, Gengchen Ye, Wentao Zeng, Ruiting Zhu, Chiyin Li, Yanan Zhu, Dongbo Li, Jixin Liu, Wenyang Wang, Peng Li and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Yuchen ZhangDepartment of Nuclear Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Gengchen YeDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Wentao ZengDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Ruiting ZhuDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Chiyin LiDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Yanan ZhuMedical Imaging Centre, Ankang Central Hospital, Shaanxi Province, Ankang, China.
Dongbo LiDepartment of Neurosurgery, Ankang Central Hospital, Shaanxi Province, Ankang, China.
Jixin LiuSchool of Life Science and Technology, Xidian University, Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, Shaanxi Province, Xi'an, China.
Wenyang WangDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Peng LiDepartment of Medical Imaging, Nuclear Industry 215 Hospital of Shaanxi Province, Shaanxi Province, Xianyang, China.
Liming FanThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Rong WangSchool of Aerospace Engineering, Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.
Xuan NiuDepartment of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi Province, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long COVID is characterized by debilitating fatigue, likely stemming from abnormal interactions among brain regions, but the neural mechanisms remain unclear. Here, we utilized a nested-spectral partition (NSP) approach to study the segregation and integration of resting-state brain functional networks in 34 patients with long COVID from acute to chronic phase post infection. Compared to healthy controls, patients with long COVID exhibited significantly higher fatigue scores and shifted the brain into a less segregated state at both 1 month and 3 months post infection. During the recovery of fatigue severity, there was no significant difference of segregation/integration. A positive correlation between network integration and fatigue was observed at 1 month, shifting to a negative correlation by 3 months. Gene Ontology analysis revealed that both acute and long-term effects of fatigue were associated with abnormal social behavior. Our findings reveal the brain network reconfiguration trajectories during post-viral fatigue progression that serve as functional biomarkers for tracking neurocognitive sequelae.

Indexed as

Health sciencesImmunologyInternal medicineMedical specialtyMedicineNeurologyVirology

Identifiers

PMID40230529
PMCPMC11994909

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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.