Evidence map›Paper›PMID 35478700›Full record

ArticleFrontiers in aging neuroscience2022

Network Reconfiguration Among Cerebellar Visual,

Hui Chen, Limeng Dai, Yuhan Zhang, Liu Feng, Zhenzhen Jiang, Xingang Wang, Dongjing Xie, Jing Guo, Huafu Chen, Jian Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

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

  1. Pooled it
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  4. The Cerebellar Connectome.Cerebellum (London, England) · 2026
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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

11 authors at 2 institutions in 1 country.

Hui ChenDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Limeng DaiDepartment of Medical Genetics, Third Military Medical University (Army Medical University), Chongqing, China.
Yuhan ZhangDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Liu FengDepartment of Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Zhenzhen JiangDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xingang WangDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Dongjing XieDepartment of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jing GuoBiomedical Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Huafu ChenDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jian WangDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Chen LiuDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Army Medical University · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spinocerebellar ataxia type 3 (SCA3) is a rare movement disorder characterized with ataxia. Previous studies on movement disorders show that the whole-brain functional network tends to be more regular, and these reconfigurations correlate with genetic and clinical variables. Methods: To test whether the brain network in patients with SCA3 follows a similar reconfiguration course to other movement disorders, we recruited 41 patients with SCA3 (mean age = 40.51 ± 12.13 years; 23 male) and 41 age and sex-matched healthy individuals (age = 40.10 ± 11.56 years; 24 male). In both groups, the whole-brain network topology of resting-state functional magnetic resonance imaging (rs-fMRI) was conducted using graph theory, and the relationships among network topologies, cytosine-adenine-guanine (CAG) repeats, clinical symptoms, and functional connectivity were explored in SCA3 patients using partial correlation analysis, controlling for age and sex. Results: The brain networks tended to be more regular with a higher clustering coefficient, local efficiency, and modularity in patients with SCA3. Hubs in SCA3 patients were reorganized as the number of hubs increased in motor-related areas and decreased in cognitive areas. At the global level, small-worldness and normalized clustering coefficients were significantly positively correlated with clinical motor symptoms. At the nodal level, the clustering coefficient and local efficiency increased significantly in the visual (bilateral cuneus) and sensorimotor (right cerebellar lobules IV, V, VI) networks and decreased in the cognitive areas (right middle frontal gyrus). The clustering coefficient and local efficiency in the bilateral cuneus gyrus were negatively correlated with clinical motor symptoms. The functional connectivity between right caudate nucleus and bilateral calcarine gyrus were negatively correlated with disease duration, while connectivity between right posterior cingulum gyrus and left cerebellar lobule III, left inferior occipital gyrus and right cerebellar lobule IX was positively correlated. Conclusion: Our results demonstrate that a more regular brain network occurred in SCA3 patients, with motor and visual-related regions, such as, cerebellar lobules and cuneus gyrus, both forayed neighbor nodes as "resource predators" to compensate for normal function, with motor and visual function having the higher priority comparing with other high-order functions. This study provides new information about the neurological mechanisms underlying SCA3 network topology impairments in the resting state, which give a potential guideline for future clinical treatments. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [ChiCTR1800019901].

Indexed as

functional connectivitygraph theoryresting-stateSCA3spinocerebellar ataxia

Identifiers

PMID35478700
PMCPMC9036064
OpenAlexW4223472005

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.