Evidence map›Paper›PMID 40478406›Full record

ArticleBrain imaging and behavior2025

Cerebellar large-scale network connectivity in Parkinson's disease: associations with emotion, cognition, and aging effects.

Chentao He, Zhenzhen Chen, Mengfei Cai, Piao Zhang, Hao Li, Xi Chen, Qi Qi, Rui Yang, Yan Li, Zaiyi Liu and 2 more

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

  1. Article
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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.

Chentao He *Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Zhenzhen Chen *Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Mengfei Cai *Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Piao ZhangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Hao LiDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Xi ChenDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Qi QiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Rui YangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Yan LiDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Zaiyi LiuGuangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Lijuan WangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Yuhu ZhangDepartment of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China. zhangyuhu@gdph.org.cn.

Funding

China Postdoctoral Science Foundation 2023M730742Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application 2022B1212010011Key Research and Development Program of Guangzhou 202206010086National Natural Science Foundation of China 82071419National Natural Science Foundation of China 82301663Science and Technology Planning Project of Guangzhou 202201000005
6 · The paper itself

Abstract

Emerging evidence highlights the cerebellum's involvement in Parkinson's disease (PD), yet its intrinsic functional connectivity with cortical-subcortical networks remains largely unexplored. This study aims to investigate cerebellar functional network alterations in PD and their associations with motor, cognitive, and emotional symptoms, as well as age-related effects. 82 participants with PD (PwPD) and 38 healthy controls (HCs) underwent structural and resting-state functional MRI scans. We conducted volumetric analysis in the cerebellum and examined the involvement of cerebellar functional networks in PD, both within-network and between-network connections regarding cortical-subcortical large-scale networks. Additionally, we explored correlations with motor, cognitive, and emotional symptoms, as well as age-related associations in PwPD. No significant differences in cerebellar volume were observed between PwPD and HCs. PwPD exhibited reduced functional connectivity within the cerebellar network and between the cerebellum (CER) and the salience network (SN) (P < 0.001). Decreased CER-SN connectivity correlated with lower MoCA scores and higher HAMD scores, indicating associations with cognitive impairment and depressive symptoms. Additionally, CER-MTL (medial temporal lobe) connectivity positively correlated with both HAMD and HAMA scores in PwPD. Age-related differences in CER-SN connectivity were significant between PwPD and HCs (P = 0.008). Our study suggests the involvement of cerebellar large-scale functional network connectivity in PD, emphasizing the role of cerebellar functional networks in the emotional and cognitive aspects of PD.

Indexed as

AgingCerebellumCognitionEmotionsNerve NetParkinson DiseaseAgedCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysCerebellumCognitionEmotionFunctional networkParkinson’s disease

Identifiers

PMID40478406
PMCPMC12518413

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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.