ArticleFrontiers in neuroscience2018
Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review.Frontiers in neurology · 2020Pooled it
- Multimodal diagnostic tools and advanced data models for detection of prodromal Parkinson's disease: a scoping review.BMC medical imaging · 2025Article
- Increased mean diffusivity of the caudal motor SNc identifies patients with REM sleep behaviour disorder and Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Brain MRI Biomarkers in Isolated Rapid Eye Movement Sleep Behavior Disorder: Where Are We? A Systematic Review.Brain sciences · 2023Review
- Parkinson's disease progression: Increasing expression of an invariant common core subnetwork.NeuroImage. Clinical · 2023Article
- Predictors of RBD progression and conversion to synucleinopathies.Current neurology and neuroscience reports · 2022Review
- Optimizing differential identifiability improves connectome predictive modeling of cognitive deficits from functional connectivity in Alzheimer's disease.Human brain mapping · 2021Article
- Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow.Journal of digital imaging · 2021Article
- Impaired Structural Connectivity in Parkinson's Disease Patients with Mild Cognitive Impairment: A Study Based on Probabilistic Tractography.Brain connectivity · 2021Article
- Article
- Artificial intelligence for brain diseases: A systematic review.APL bioengineering · 2020Review
- Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven Approach.Frontiers in neuroscience · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease is the second most prevalent neurodegenerative disorder in the Western world. It is estimated that the neuronal loss related to Parkinson's disease precedes the clinical diagnosis by more than 10 years (prodromal phase) which leads to a subtle decline that translates into non-specific clinical signs and symptoms. By leveraging diffusion magnetic resonance imaging brain (MRI) data evaluated longitudinally, at least at two different time points, we have the opportunity of detecting and measuring brain changes early on in the neurodegenerative process, thereby allowing early detection and monitoring that can enable development and testing of disease modifying therapies. In this study, we were able to define a longitudinal degenerative Parkinson's disease progression pattern using diffusion magnetic resonance imaging connectivity information. Such pattern was discovered using a
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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.