ArticleCerebellum (London, England)2017
Differentiating Patients with Parkinson's Disease from Normal Controls Using Gray Matter in the Cerebellum.
Article in Cerebellum (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled 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.
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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.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Detection of parkinson's disease with neuroimaging modalities using machine learning and artificial intelligence: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Pooled it
- Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature.Frontiers in aging neuroscience · 2021Pooled it
- Cerebellar Contribution to Motor and Non-motor Functions in Parkinson's Disease: A Meta-Analysis of fMRI Findings.Frontiers in neurology · 2020Pooled it
- Understanding the role of cerebellum in early Parkinson's disease: a structural and functional MRI study.NPJ Parkinson's disease · 2024Article
- Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs.JMIR neurotechnology · 2024Article
- A more objective PD diagnostic model: integrating texture feature markers of cerebellar gray matter and white matter through machine learning.Frontiers in aging neuroscience · 2024Article
- Voxel-based morphometry of grey matter structures in Parkinson's Disease with wearing-off.Brain imaging and behavior · 2023Article
- Cerebellar Volume and Disease Staging in Parkinson's Disease: An ENIGMA-PD Study.Movement disorders : official journal of the Movement Disorder Society · 2023Article
- Linking the cerebellum to Parkinson disease: an update.Nature reviews. Neurology · 2023Review
- Cerebellar alterations in Parkinson's disease with postural instability and gait disorders.Journal of neurology · 2023Article
- Identifying and distinguishing of essential tremor and Parkinson's disease with grouped stability analysis based on searchlight-based MVPA.Biomedical engineering online · 2022Article
- Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease.NPJ Parkinson's disease · 2022Review
- Gray matter volume of cerebellum associated with idiopathic normal pressure hydrocephalus: A cross-sectional analysis.Frontiers in neurology · 2022Article
- Machine Learning Models for Diagnosis of Parkinson's Disease Using Multiple Structural Magnetic Resonance Imaging Features.Frontiers in aging neuroscience · 2022Article
- Parkinson's disease-related pattern (PDRP) identified using resting-state functional MRI: Validation study.Neuroimage. Reports · 2021Article
- Pathological changes in the cerebellum of patients with multiple system atrophy and Parkinson's disease-a stereological study.Brain pathology (Zurich, Switzerland) · 2020Article
- Longitudinal Alterations of Local Spontaneous Brain Activity in Parkinson's Disease.Neuroscience bulletin · 2017Article
- Classification of brain disease in magnetic resonance images using two-stage local feature fusion.PloS one · 2017Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease (PD) is one of the most common neurodegenerative disorders in the world. Previous studies have focused on the basal ganglia and cerebral cortices. To date, the cerebellum has not been systematically investigated in patients with PD. In the current study, 45 probable PD patients and 40 age- and gender-matched healthy controls underwent structural magnetic resonance imaging, and we used support vector machines combining with voxel-based morphometry to explore the cerebellar structural changes in the probable PD patients relative to healthy controls. The results revealed that the gray matter alterations were primarily located within the cerebellar Crus I, implying a possible important role of this region in PD. Furthermore, the gray matter alterations in the cerebellum could differentiate the probable PD patients from healthy controls with accuracies of more than 95 % (p < 0.001, permutation test) via cross-validation, suggesting the potential of analyzing the cerebellum in the clinical diagnosis of PD.
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Registered trials
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.