Evidence map›Paper›PMID 42534898›Full record

ArticleFrontiers in aging neuroscience2026

Multilevel functional network signature of Pisa syndrome in Parkinson's disease: a resting-state fMRI study.

Zhou Su, Mengran Liu, Jun Kuai, Congcong Wang, Bin Xu, Li Su, Min Su, Yuechang Zheng, Junyu Peng, Yinghao Yang and 1 more

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Article in Frontiers in aging neuroscience, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zhou Su *Department of Neurology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Mengran Liu *School of Education, University of Bristol, Bristol, United Kingdom.
Jun KuaiDepartment of Gastroenterology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Congcong WangDepartment of Neurology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Bin XuDepartment of Neurology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Li SuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Min SuDepartment of Radiology, The Second Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Yuechang ZhengDepartment of Neurology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Junyu PengDepartment of Neurology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Yinghao YangDepartment of Neurology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.
Tingting YiDepartment of Neurology, The First Affiliated Hospital of Henan Medical University, Xinxiang, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pisa syndrome (PS) is a disabling postural complication of Parkinson's disease (PD), but its functional network basis remains insufficiently defined. The aim of this study is to determine whether PD with PS is associated with multilevel resting-state functional network abnormalities beyond differences in motor severity. Methods: We studied 31 patients with PD and PS and 42 patients with PD without PS using resting-state fMRI. Analyses included seed-based functional connectivity, regional homogeneity, fractional amplitude of low-frequency fluctuations, and graph-theoretical metrics of whole-brain topology. Group comparisons adjusted for age, sex, education, Hoehn and Yahr (H&Y) stage, and levodopa equivalent daily dose (LEDD); sensitivity analyses further adjusted for the Movement Disorder Society-Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS-III). Results: Compared with PD without PS, PD-PS showed reduced connectivity between the pedunculopontine nucleus (PPN) and the left supplementary motor area (SMA) and right cerebellar Crus I, reduced interoccipital connectivity, increased connectivity between the right anterior insula and posterior cingulate/medial prefrontal cortex, lower occipital and postcentral fALFF, lower right superior parietal ReHo, and disrupted whole-brain topology with lower small-worldness and efficiency and longer path length. PPN-SMA connectivity correlated inversely with MDS-UPDRS-III and positively with visuospatial/executive performance, but not with lateral flexion angle; global efficiency correlated with Hoehn and Yahr stage and lateral flexion angle. PPN-related findings reflect connectivity involving a PPN-centered brainstem region rather than the PPN nucleus per se. Findings remained significant after additional adjustment for MDS-UPDRS-III. Conclusion: PS in PD is associated with convergent abnormalities involving brainstem-sensorimotor coupling, visual-parietal integration, salience-default mode interactions, and global network organization. These findings demonstrate group differences in functional network organization between PD patients with and without PS. They support a multilevel network model, but further studies are needed to determine whether these alterations are specifically related to PS severity or pathophysiology.

Indexed as

brain networksfunctional connectivityParkinson’s diseasePisa syndromeresting-state fMRI

Identifiers

PMID42534898
PMCPMC13422441

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