Evidence map›Paper›PMID 39725901›Full record

ArticleBMC neuroscience2024

Structural-functional connectivity decoupling in multiscale brain networks in Parkinson's disease.

Ting Zou, Chen Chen, Huafu Chen, Xuyang Wang, Lin Gan, Chong Wang, Qing Gao, Chunyan Zhang, Wei Liao, Jingliang Cheng and 1 more

Abstract read
In one paragraph

Article in BMC neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Ting Zou *The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
Chen Chen *Department of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, P.R. China.
Huafu ChenThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China. chenhf@uestc.edu.cn.
Xuyang WangThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
Lin GanThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
Chong WangThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
Qing GaoSchool of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, P.R. China.
Chunyan ZhangDepartment of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, P.R. China.
Wei LiaoThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
Jingliang ChengDepartment of MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, P.R. China. fccchengjl@zzu.edu.cn.
Rong LiThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China. rongli1120@gmail.com.

Funding

National Key R&D Program of China 2022YFC2009906National Natural Science Foundation of China 62173070National Natural Science Foundation of China 62333003National Natural Science Foundation of China 82372085Sichuan Science and Technology Foundation 2023NSFSC0644
6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a progressive neurodegenerative disease associated with functional and structural alterations beyond the nigrostriatal dopamine projection. However, the structural-functional (SC-FC) coupling changes in combination with subcortical regions at the network level are rarely investigated in PD.

methodsSC-FC coupling networks were systematically constructed using the structural connectivity obtained by diffusion tensor imaging and the functional connectivity obtained by resting-state functional magnetic resonance imaging in 53 PD and 72 age- and sex-matched healthy controls (HCs). Then, we explored how SC-FC coupling varied within and between several well-defined functional domains.

resultsResults showed that the SC-FC coupling in patients with PD was globally reduced in comparison with HCs. Specifically, regional SC-FC decoupled in the inferior parietal lobule, occipitotemporal cortex, motor cortex, and higher-order association cortex in patients with PD. Moreover, PD showed intranetwork SC-FC decoupling in the visual network (VIS), limbic and higher-order association networks. Furthermore, internetwork decoupling mainly linked to the VIS, the somatomotor network (SOM), the dorsal attention network, and the default mode network, was observed, increased internetwork coupling was found between the subcortical network and the SOM in PD (all p < 0.05, FDR corrected).

conclusionsThese findings suggest that PD is characterized by SC-FC decoupling in topological organization of multiscale brain networks, providing insights into the brain network mechanisms in PD.

Indexed as

BrainDiffusion Tensor ImagingMagnetic Resonance ImagingNerve NetParkinson DiseaseAgedConnectomeFemaleHumansMaleMiddle AgedNeural PathwaysMultiscale brain networksParkinson’s diseaseStructural-functional coupling

Identifiers

PMID39725901
PMCPMC11674082

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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.