Evidence map›Paper›PMID 35665464›Full record

ArticleBrain imaging and behavior2022

The distinct disrupted plasticity in structural and functional network in mild stroke with basal ganglia region infarcts.

Hua Zhu, Lijun Zuo, Wanlin Zhu, Jing Jing, Zhe Zhang, Lingling Ding, Fengjuan Wang, Jian Cheng, Zhenzhou Wu, Yongjun Wang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Cerebellar Connectome Disruptions in Ischemic Stroke.CNS neuroscience & therapeutics · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
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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

12 authors at 4 institutions in 2 countries.

Hua ZhuBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Behang University, Beijing, China.
Lijun ZuoDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Wanlin ZhuDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Jing JingDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Zhe ZhangDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Lingling DingDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Fengjuan WangNational Institute of Education, Nanyang Technological University, Singapore, Singapore.
Jian ChengBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China.
Zhenzhou WuBioMind Technology AI Center, China National Clinical Research Center for Neurological Disease, Beijing Tiantan Hospital, Beijing, China.
Yongjun WangDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Tao LiuBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Behang University, Beijing, China. tao.liu@buaa.edu.cn.ORCID http://orcid.org/0000-0002-7783-3073
Zixiao LiDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China. lizixiao2008@hotmail.com.
Capital Medical University · CNBeijing Advanced Sciences and Innovation Center · CNBeijing Tian Tan Hospital · CNNanyang Technological University · SG

Funding

Beijing Municipal Commission of Health and Family Planning 2016-1-2041Beijing Municipal Commission of Health and Family Planning SML20150502Beijing Municipal Commission of Science and Technology D151100002015003Beijing Municipal Commission of Science and Technology Z201100005620010Beijing Natural Science Foundation Z200016CAMS Innovation Fund for Medical Sciences 2019-I2M-5-029Ministry of Science and Technology of the People's Republic of China 2017YFC1310901Ministry of Science and Technology of the People's Republic of China 2018YFC1311700Ministry of Science and Technology of the People's Republic of China 2018YFC1311706Natural Science Foundation of China 81871434Nature Science Foundation of China 61971017Nature Science Foundation of China 92046016
6 · The paper itself

Abstract

Stroke induced by basal ganglia infarction often impair cognitive function. The exploration of topological patterns in structural and functional networks associated cognitive impairment after stroke may contribute to understand the pathological mechanism of cognitive impairment caused by stroke. In this paper, graph theory analysis was applied to diffusion-weighted imaging (DWI) data and resting-state functional MRI (fMRI) data from 23 post-stroke patients with cognitive impairment (PSCI), 17 post-stroke patients without cognitive impairment (NPSCI), and 29 healthy controls (HC). Structural and functional connectivity between 90 cortical and subcortical brain regions was estimated and set threshold to construct a set of undirected graphs. Network-based statistics (NBS) was used to characterize altered connectivity patterns among the three groups. Compared to HC, the PSCI group demonstrated substantial reductions in all three types of connections-rich club, feeder, and local-in structural and functional networks. Specifically, in structural network analysis, reduced connections were observed within basal ganglia and basal ganglia-frontal networks, whereas in the functional network analysis, reduced connections were observed in fronto-parietal network (FPN) and cingulo-opercular networks (CON). Meanwhile, compared to HC, the NPSCI group demonstrated reductions in both feeder and local connections only within occipital area and occipital-temporal structural networks. The findings of reduced structural connectivity in regions stemming from a basal ganglia core and reduced functional connectivity in FPN and CON may indicate a bottom-up cognitive impairment induced by stroke. Graph analysis and connectomics may aid clinical diagnosis and serve as potential imaging biomarkers for post-stroke patients with cognitive impairment.

Indexed as

Brain MappingStrokeBasal GangliaBrainHumansInfarctionMagnetic Resonance ImagingBasal gangliaCognitive impairmentDTIGraph theoryResting-state fMRIStroke

Identifiers

PMID35665464
OpenAlexW4281655562

What OpenQuestion holds

Textmetadata
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.