Evidence map›Paper›PMID 37392035›Full record

ArticleCNS neuroscience & therapeutics2023

Altered large-scale individual-based morphological brain network in spinocerebellar ataxia type 3.

Shu Su, Runhua Sha, Haishan Qiu, Jianping Chu, Liping Lin, Long Qian, Manshi Hu, Chao Wu, Gerald L Cheung, Zhiyun Yang and 2 more

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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 3 institutions in 2 countries.

Shu SuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-8704-9752
Runhua ShaDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Haishan QiuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jianping ChuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Liping LinDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-3641-8102
Long QianDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, China.
Manshi HuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chao WuDepartment of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Gerald L CheungSpin Imaging Technology Co., Ltd, Nanjing, China.
Zhiyun YangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yingqian ChenDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-5924-5593
Jing ZhaoDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-9270-3250
Sun Yat-sen University · CNPeking University · CNVision Technology (United States) · US

Funding

Guangdong Basic and Applied Basic Research Foundation, China 2021A1515012279Medical Scientific Research Foundation of Guangdong Province A2020327Natural Science Fund Youth Science Fund Project of China 82001439Natural Science Fund Youth Science Fund Project of China 82172015Science, Technology Program of Guangzhou, China 202201011228Science, Technology Program of Guangzhou, China 202201011244
6 · The paper itself

Abstract

backgroundAccumulating evidences indicate regional gray matter (GM) morphology atrophy in spinocerebellar ataxia type 3 (SCA3); however, whether large-scale morphological brain networks (MBNs) undergo widespread reorganization in these patients remains unclear.

objectiveTo investigate the topological organization of large-scale individual-based MBNs in SCA3 patients.

methodsThe individual-based MBNs were constructed based on the inter-regional morphological similarity of GM regions. Graph theoretical analysis was taken to assess GM structural connectivity in 76 symptomatic SCA3, 24 pre-symptomatic SCA3, and 54 healthy normal controls (NCs). Topological parameters of the resulting graphs and network-based statistics analysis were compared among symptomatic SCA3, pre-symptomatic SCA3, and NCs groups. The inner association between network properties and clinical variables was further analyzed.

resultsCompared to NCs and pre-symptomatic SCA3 patients, symptomatic SCA3 indicated significantly decreased integration and segregation, a shift to "weaker small-worldness", characterized by decreased C

conclusionSymptomatic SCA3 patients undergo an extensive and significant reorganization in large-scale individual-based MBNs, probably due to disrupted prefrontal cortico-striato-thalamo-cortical loops, limbic-striatum circuitry, and enhanced connectivity in the neostriatum. This study highlights the crucial role of abnormal morphological connectivity alterations beyond the pattern of brain atrophy, which might pave the way for therapeutic development in the future.

Indexed as

Machado-Joseph DiseaseAtrophyBrainGray MatterHumansMagnetic Resonance Imagingmorphological brain networksspinocerebellar ataxia type 3structural MRItopological organization

Identifiers

PMID37392035
PMCPMC10651944
OpenAlexW4382786370

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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.