Evidence map›Paper›PMID 39690801›Full record

ArticleCNS neuroscience & therapeutics2024

Functional Segregation-Integration Preference Configures the Cognitive Decline Against Cerebral Small Vessel Disease: An MRI Study.

Wentao Hu, Yao Wang, Zhenhui Xie, Mianxin Liu, Xu Han, Ying Hu, Xingrui Wang, Yongming Dai, Qun Xu, Yan Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Wentao HuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-0347-7467
Yao WangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhenhui XieDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Mianxin LiuShanghai Artificial Intelligence Laboratory, Shanghai, China.
Xu HanDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-4289-1636
Ying HuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xingrui WangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yongming DaiSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Qun XuDepartment of Neurology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yan ZhouDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

Eastern Talent Plan Leading ProjectLeading Talent of Shanghai Municipal Health Commission 2022LJ023National Natural Science Foundation of China 82171885National Natural Science Foundation of China 82302142Shanghai Municipality Natural Science Fund 23ZR1439200Shanghai Science and Technology Committee Project Explorer Project 21TS1400700Technology Standardized Management and Promotion Projects of Shanghai ShenKang Hospital Development Center SHDC22023022
6 · The paper itself

Abstract

introductionCerebral small vessel disease (CSVD) is highly prevalent in elder individuals, and its variable cognitive outcomes indicate some cognitive reserve mechanisms. Contribution from functional network features is still unclear. Here we explore how functional segregation-integration preference influences the cognitive changes against CSVD. MATERIALS AND

methodsA total of, 271 CSVD patients were included, all underwent MRI scans including routine and resting-state functional MRI (rs-fMRI). Hierarchical balance index (H

resultsHierarchical regression analysis revealed negative contribution from lesion load to global and all cognitive domains (β = -0.22~-0.35, ∆R

conclusionThus, we concluded that integrated network contributes to cognitive resilience in mild and moderate but not in severe damage stages.

Indexed as

Cerebral Small Vessel DiseasesCognitive DysfunctionMagnetic Resonance ImagingAgedBrainFemaleHumansMaleMiddle Agedcerebral small vessel diseasecognitive outcomeintegrationresting‐state functional MRIsegregation

Identifiers

PMID39690801
PMCPMC11652672

What Socratic holds

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LicenceCC BY
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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 Socratic graph.