Evidence map›Paper›PMID 35529452›Full record

ArticleNeural plasticity2022

Topologic Reorganization of White Matter Connectivity Networks in Early-Blind Adolescents.

Zhifeng Zhou, Long Qian, Jinping Xu, Yumin Lu, Fen Hou, Jingyi Zhou, Jinpei Luo, Gangqiang Hou, Wentao Jiang, Hengguo Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Neural plasticity, 2022. 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
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. White Matter Function and Network Abnormalities in Patients with Diabetic Retinopathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    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

11 authors at 4 institutions in 1 country.

Zhifeng ZhouDepartment of Radiology, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen 518003, China.ORCID 0000-0003-1716-3976
Long QianMRI Research, GE Healthcare, Beijing 100176, China.ORCID 0000-0002-9707-1096
Jinping XuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0003-3877-5445
Yumin LuDepartment of Radiology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530012, China.ORCID 0000-0002-8410-379X
Fen HouMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.ORCID 0000-0002-5141-5092
Jingyi ZhouMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.ORCID 0000-0001-5251-7990
Jinpei LuoMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.ORCID 0000-0002-2359-3190
Gangqiang HouDepartment of Radiology, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen 518003, China.ORCID 0000-0001-6420-3155
Wentao JiangDepartment of Radiology, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen 518003, China.ORCID 0000-0002-9707-0552
Hengguo LiMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.ORCID 0000-0002-6770-0162
Xia LiuDepartment of Radiology, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen 518003, China.ORCID 0000-0002-4552-0742
First Affiliated Hospital of Jinan University · CNShenzhen KangNing Hospital · CNChinese Academy of Sciences · CNGuangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blindness studies are important models for the comprehension of human brain development and reorganization, after visual deprivation early in life. To investigate the global and local topologic alterations and to identify specific reorganized neural patterns in early-blind adolescents (EBAs), we applied diffusion tensor tractography and graph theory to establish and analyze the white matter connectivity networks in 21 EBAs and 22 age- and sex-matched normal-sighted controls (NSCs). The network profiles were compared between the groups using a linear regression model, and the associations between clinical variables and network profiles were analyzed. Graph theory analysis revealed "small-world" attributes in the structural connection networks of both EBA and NSC cohorts. The EBA cohort exhibited significant lower network density and global and local efficiency, as well as significantly elevated shortest path length, compared to the NSC group. The network efficiencies were markedly reduced in the EBA cohort, with the largest alterations in the default-mode, visual, and limbic areas. Moreover, decreased regional efficiency and increased nodal path length in some visual and default-mode areas were strongly associated with the period of blindness in EBA cohort, suggesting that the function of these areas would gradually weaken in the early-blind brains. Additionally, the differences in hub distribution between the two groups were mainly within the occipital and frontal areas, suggesting that neural reorganization occurred in these brain regions after early visual deprivation during adolescence. This study revealed that the EBA brain structural network undergoes both convergent and divergent topologic reorganizations to circumvent early visual deprivation. Our research will add to the growing knowledge of underlying neural mechanisms that govern brain reorganization and development, under conditions of early visual deprivation.

Indexed as

White MatterAdolescentBlindnessBrainBrain MappingDiffusion Tensor ImagingHumans

Identifiers

PMID35529452
PMCPMC9072039
OpenAlexW4285744541

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.