ArticleFrontiers in neurology2023
Structural connectivity and brain network analyses in Parkinson's disease: A cross-sectional and longitudinal study.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Linking cortical morphology and neurophysiological dynamics in Parkinson's disease.Scientific reports · 2026Article
- Longitudinal quantitative streamline tractography: robust estimation of white matter connectivity differences.bioRxiv : the preprint server for biology · 2026Article
- Impact of tractogram filtering and graph creation for structural connectomics in subjects with Parkinson's disease.Frontiers in human neuroscience · 2026Article
- Early functional network alterations predict motor and cognitive decline in parkinson's disease.Scientific reports · 2025Article
- Linking Cortical Morphology and Neurophysiological Dynamics in Parkinson's Disease.Research square · 2025Article
- Sketching a Space of Brain States.Neuroinformatics · 2025Article
- Multivariate Associations Between Neurophysiological Activity and Sensory Motor Cortical Morphometry in Parkinson's Disease.bioRxiv : the preprint server for biology · 2025Article
- Subregional alterations in corpus callosum is associated with different symptoms in early-stage parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Understanding Causal Relationships Between Imaging-Derived Phenotypes and Parkinson's Disease: A Mendelian Randomization and Observational Study.Biomedicines · 2025Article
- Alterations in functional and structural connectivity in the 6-OHDA-induced Parkinsonian rat model.Frontiers in neuroscience · 2025Article
- Exploring habenular structural connectivity in Parkinson's disease: insights from 7 T MRI study.Journal of neurology · 2024Article
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Parkinson's disease (PD) is an idiopathic disease of the central nervous system characterized by both motor and non-motor symptoms. It is the second most common neurodegenerative disease. Magnetic resonance imaging (MRI) can reveal underlying brain changes associated with PD. Objective: In this study, structural connectivity and white matter networks were analyzed by diffusion MRI and graph theory in a cohort of patients with PD and a cohort of healthy controls (HC) obtained from the Parkinson's Progression Markers Initiative (PPMI) database in a cross-sectional analysis. Furthermore, we investigated longitudinal changes in the PD cohort over 36 months. Result: Compared with the control group, participants with PD showed lower structural connectivity in several brain areas, including the corpus callosum, fornix, and uncinate fasciculus, which were also confirmed by a large effect-size. Additionally, altered connectivity between baseline and after 36 months was found in different network paths inside the white matter with a medium effect-size. Network analysis showed trends toward lower network density in PD compared with HC at baseline and after 36 months, though not significant after correction. Significant differences were observed in nodal degree and strength in several nodes. Conclusion: In conclusion, altered structural and network metrics in several brain regions, such as corpus callosum, fornix, and cingulum were found in PD, compared to HC. We also report altered connectivity in the PD group after 36 months, reflecting the impact of both PD pathology and aging processes. These results indicate that structural and network metrics might yield insight into network reorganization that occurs in PD.
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