ArticleDiagnostics (Basel, Switzerland)2021
The Cerebellum Is a Common Key for Visuospatial Execution and Attention in Parkinson's Disease.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- A Causal Association Study Between Brain Imaging Features and the Risk of Large Artery Atherosclerosis: A Two-sample Mendelian Randomization Study.Journal of molecular neuroscience : MN · 2026Article
- Visuospatial cognition in people with Parkinson's disease: a pilot study assessing a block span task using fMRI.Frontiers in human neuroscience · 2026Article
- Anti-saccade can be used as a screening tool for early cognitive impairment: a correlation study based on anti-saccade parameters and cognitive function.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2025Article
- Review
- Aging, Neurodegenerative Disorders, and Cerebellum.International journal of molecular sciences · 2024Review
- Linking the cerebellum to Parkinson disease: an update.Nature reviews. Neurology · 2023Review
- The cerebellum and cognitive neural networks.Frontiers in human neuroscience · 2023Review
- Modulation of cortical resting state functional connectivity during a visuospatial attention task in Parkinson's disease.Frontiers in neurology · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Cognitive decline affects the clinical course in patients with Parkinson's disease (PD) and contributes to a poor prognosis. However, little is known about the underlying network-level abnormalities associated with each cognitive domain. We aimed to identify the networks related to each cognitive domain in PD using resting-state functional magnetic resonance imaging (MRI). Forty patients with PD and 15 normal controls were enrolled. All subjects underwent MRI and the Mini-Mental State Examination. Furthermore, the cognitive function of patients with PD was assessed using the Montreal Cognitive Assessment (MoCA). We used independent component analysis of the resting-state functional MRI for functional segmentation, followed by reconstruction to identify each domain-related network, to predict scores in PD using multiple regression models. Six networks were identified, as follows: the visuospatial-executive-domain-related network (
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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.