Evidence map›Paper›PMID 42106795›Full record

ArticleBMC medicine2026

A multi-modal parcellation of human globus pallidus and its implications for symptom prediction and stratification in Parkinson's disease.

Tianyi Yan, Kexin Wang, Ziteng Han, Yunxiao Ma, Xiu Wang, Kai Zhang, Guoyuan Yang, Tiantian Liu

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Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Tianyi YanSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China.
Kexin WangSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China.
Ziteng HanSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China.
Yunxiao MaSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Xiu WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kai ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Guoyuan YangSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China. yanggy@bit.edu.cn.
Tiantian LiuSchool of Medical Science and Engineering, Beijing Institute of Technology, Beijing, China. tiantian2bit@bit.edu.cn.

Funding

National Natural Science Foundation of China 62336002National Natural Science Foundation of China 62406025National Natural Science Foundation of China 82302175STI 2030-Major Projects 2021ZD0200506STI 2030-Major Projects 2022ZD0208500the Key-Area Research, Development Program of Guangdong Province 2023B0303030002
6 · The paper itself

Abstract

backgroundThe globus pallidus (GP) is a critical basal ganglia nucleus for motor and cognitive control. However, traditional single-modality parcellations provide an incomplete understanding of its internal organization, thereby increasing the risk of imprecision and side effects during therapeutic targeting of its subregions.

methodsIn this study, we developed a multi-modal approach that combines structural and functional connectivity, termed hybrid pallidum parcellation (HPP), to parcellate the GP into anterior (aGP), middle (mGP), and posterior (pGP) subregions. This approach was rigorously evaluated for reproducibility and homogeneity in healthy individuals and behavioral prediction accuracy in healthy individuals and patients with Parkinson's disease (PD). Connectivity and behavioral prediction analyses were further used to explore the structural and functional differences in the GP subregions.

resultsCompared with unimodal (structural or functional connectivity-based) and two public parcellations, HPP demonstrated superior reproducibility and homogeneity. In addition, the HPP-based subregions revealed a posterior-to-anterior structural and functional connectivity gradient in GP, reflecting a transition from primary to higher-order networks. Specifically, the pGP dominated in sensorimotor function prediction and the aGP in emotional processing, while the mGP exhibited a more flexible pattern in cognition and higher-order motor control. Furthermore, the HPP parcellation demonstrated generalizability and superiority in better predicting behavioral measures than other parcellations in both healthy individuals and patients with PD.

conclusionsOverall, HPP provides new insights into the GP's hierarchical functional organization and its subregional roles in PD motor and non-motor symptoms, offering potential to improve patient stratification for PD and related disorders.

Indexed as

Globus PallidusParkinson DiseaseAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedReproducibility of Resultsbehavioral functionclinical relevancehierarchical organizationparcellationsubcortex

Identifiers

PMID42106795
PMCPMC13326441

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