ArticleHuman brain mapping2017
Parkinson's disease-related network topographies characterized with resting state functional MRI.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04228172 (Genotypic Influences on Network Progression in Parkinson's Disease), which is not on this map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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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.
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.
Genotypic Influences on Network Progression in Parkinson's Disease
Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- The effect of istradefylline for Parkinson's disease: A meta-analysis.Scientific reports · 2017Pooled it
- Alterations in relative perfusion and synaptic patterns in Parkinson's disease using dynamic SV2A PET.medRxiv : the preprint server for health sciences · 2026Article
- Psychological and neurological benefits of physical activity: impact on mental health, Parkinson's disease, and Alzheimer's disease.Brain structure & function · 2026Review
- Functional brain connectivity in patients withNeuroimage. Reports · 2026Article
- Characteristics and mechanisms of cognitive impairment in Parkinson disease.Nature reviews. Neurology · 2026Review
- Clinical and brain functional correlates of instrumental rigidity measurement in Parkinson's disease.Scientific reports · 2025Article
- Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025Article
- An artificial intelligence-derived metabolic network predicts psychosis in Alzheimer's disease.Brain communications · 2025Article
- Longitudinal network changes and phenoconversion risk in isolated REM sleep behavior disorder.Nature communications · 2024Article
- Parkinson's disease cerebrovascular reactivity pattern: A feasibility study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Longitudinal Network Changes and Phenoconversion Risk in Isolated REM Sleep Behavior Disorder.Research square · 2024Article
- Magnetic Resonance Imaging and Nuclear Imaging of Parkinsonian Disorders: Where do we go from here?Current neuropharmacology · 2024Review
- Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023Article
- Normalization effect of dopamine replacement therapy on brain functional connectome in Parkinson's disease.Human brain mapping · 2023Article
- Disordered network structure and function in dystonia: pathological connectivity vs. adaptive responses.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Amplitude of low-frequency fluctuation-based regional radiomics similarity network: Biomarker for Parkinson's disease.Heliyon · 2023Article
- Adaptive and pathological connectivity responses in Parkinson's disease brain networks.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Functional brain networks in the evaluation of patients with neurodegenerative disorders.Nature reviews. Neurology · 2023Review
- Parkinson's disease progression: Increasing expression of an invariant common core subnetwork.NeuroImage. Clinical · 2023Article
- Stereotyped Relationship Between Motor and Cognitive Metabolic Networks in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Spatial covariance mapping can be used to identify and measure the activity of disease-related functional brain networks. While this approach has been widely used in the analysis of cerebral blood flow and metabolic PET scans, it is not clear whether it can be reliably applied to resting state functional MRI (rs-fMRI) data. In this study, we present a novel method based on independent component analysis (ICA) to characterize specific network topographies associated with Parkinson's disease (PD). Using rs-fMRI data from PD and healthy subjects, we used ICA with bootstrap resampling to identify a PD-related pattern that reliably discriminated the two groups. This topography, termed rs-MRI PD-related pattern (fPDRP), was similar to previously characterized disease-related patterns identified using metabolic PET imaging. Following pattern identification, we validated the fPDRP by computing its expression in rs-fMRI testing data on a prospective case basis. Indeed, significant increases in fPDRP expression were found in separate sets of PD and control subjects. In addition to providing a similar degree of group separation as PET, fPDRP values correlated with motor disability and declined toward normal with levodopa administration. Finally, we used this approach in conjunction with neuropsychological performance measures to identify a separate PD cognition-related pattern in the patients. This pattern, termed rs-fMRI PD cognition-related pattern (fPDCP), was topographically similar to its PET-derived counterpart. Subject scores for the fPDCP correlated with executive function in both training and testing data. These findings suggest that ICA can be used in conjunction with bootstrap resampling to identify and validate stable disease-related network topographies in rs-fMRI. Hum Brain Mapp 38:617-630, 2017. © 2016 Wiley Periodicals, Inc.
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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.