Evidence map›Paper›PMID 35733432›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2022

Normalization effect of levodopa on hierarchical brain function in Parkinson's disease.

Tao Guo, Min Xuan, Cheng Zhou, Jingjing Wu, Ting Gao, Xueqin Bai, Xiaocao Liu, Luyan Gu, Ruiqi Liu, Zhe Song and 7 more

Open access · goldAbstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Effects of levodopa on motor and cerebellar network connectivity in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

17 authors at 2 institutions in 1 country.

Tao GuoDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Min XuanDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Cheng ZhouDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jingjing WuDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ting GaoDepartment of Neurology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xueqin BaiDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaocao LiuDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Luyan GuDepartment of Neurology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ruiqi LiuSchool of Information Science and Technology, ShanghaiTech University, Shanghai, China.
Zhe SongDepartment of Neurology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Quanquan GuDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Peiyu HuangDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiali PuDepartment of Neurology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Baorong ZhangDepartment of Neurology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaojun XuDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaojun GuanDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Minming ZhangDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hierarchical brain organization, in which the rich club and diverse club situate in core position, is critical for global information integration in the human brain network. Parkinson's disease (PD), a common movement disorder, has been conceptualized as a network disorder. Levodopa is an effective treatment for PD. Whether there is a functional divergence in the hierarchical brain system under PD pathology, and how this divergence is regulated by immediate levodopa therapy, remains unknown. We constructed a functional network in 61 PD patients and 89 normal controls and applied graph theoretical analyses to examine the neural mechanism of levodopa short response from the perspective of brain hierarchical configuration. The results revealed the following: (a) PD patients exhibited disrupted function within rich-club organization, while the diverse club preserved function, indicating a differentiated brain topological organization in PD. (b) Along the rich-club derivate hierarchical system, PD patients showed impaired network properties within rich-club and feeder subnetworks, and decreased nodal degree centrality in rich-club and feeder nodes, along with increased nodal degree in peripheral nodes, suggesting distinct functional patterns in different types of nodes. And (c) levodopa could normalize the abnormal network architecture of the rich-club system. This study provides evidence for levodopa effects on the hierarchical brain system with divergent functions.

Indexed as

Diverse clubGraph theoryLevodopaParkinson’s diseaseRich club

Identifiers

PMID35733432
PMCPMC9208001
OpenAlexW4206423995

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.