ArticleBrain imaging and behavior2020
Topological changes in white matter connectivity network in patients with Parkinson's disease and depression.
Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis.Neuropsychology review · 2023Pooled it
- Brain microstructural alterations of depression in Parkinson's disease: A systematic review of diffusion tensor imaging studies.Human brain mapping · 2022Pooled it
- Pallidal beta power is associated with depression in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Alterations of White Matter Structural Brain Network in Children With Sensorineural Hearing Loss: A Graph Theory Analysis for Auditory Sensitivity Period.Neural plasticity · 2026Article
- Excessive propagation of right frontal beta oscillations in patients with a history of major depressive disorder.Biomedical engineering letters · 2025Article
- Structural alterations of the salience network in patients with insular glioma.Brain and behavior · 2023Article
- Amplitude of low-frequency fluctuation-based regional radiomics similarity network: Biomarker for Parkinson's disease.Heliyon · 2023Article
- Alterations in intrinsic functional networks in Parkinson's disease patients with depression: A resting-state functional magnetic resonance imaging study.CNS neuroscience & therapeutics · 2021Article
- Disrupted Topological Organization in White Matter Networks in Unilateral Sudden Sensorineural Hearing Loss.Frontiers in neuroscience · 2021Article
- Abnormal Topological Organization of Sulcal Depth-Based Structural Covariance Networks in Parkinson's Disease.Frontiers in aging neuroscience · 2020Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Depression is the most common non-motor symptom accompanying Parkinson's disease (PD) with high prevalence but unclear pathophysiological mechanism. Relatively little is known about the topological patterns of white matter structural networks in depressed patients with PD. In this study, we used diffusion-tensor imaging (DTI) and graph theory approaches to explore the brain structural connectome in non-depressed patients with PD (n = 47), depressed patients with PD (n = 20) and healthy controls (n = 46). All three groups exhibited small-world topology. Compared with healthy controls, non-depressed patients with PD and depressed patients with PD showed a significant reduction of network efficiency in the cortico-subcortical circuits. Moreover, depressed patients with PD exhibited higher network efficiency in fronto-limbic system, compared to non-depressed patients with PD. To sum up, our data indicated a disrupted integrity in the large-scale brain systems in depressed patients with PD patients. The structural connectome provided a basis for functional alterations in depressed patients with PD that may advance our current understanding of pathophysiological mechanism underlying Parkinson's disease.
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