ArticleBrain structure & function2021
Disrupted morphological grey matter networks in early-stage Parkinson's disease.
Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis.Neuropsychology review · 2023Pooled it
- Neurostructural Correlates and Impulsive Mechanisms of Exercise Dependence in Middle-Aged and Elderly Adults: Evidence from Gray Matter and Structural Covariance Networks.Brain topography · 2026Article
- Topological disruptions of metabolic brain networks in early-stage chronic kidney disease.BMC medical imaging · 2026Article
- Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain states.bioRxiv : the preprint server for biology · 2026Article
- Distinguishing early from late mild cognitive impairment: a multi-level analysis of regional morphometry and KLS-derived network topology.Frontiers in aging neuroscience · 2026Article
- Disruption of functional and structural topological organization in specific subnetwork among patients with classical trigeminal neuralgia: a graph theory-based magnetic resonance imaging study.Brain imaging and behavior · 2025Article
- Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders.Brain : a journal of neurology · 2025Review
- Changes of brain structure and structural covariance networks in Parkinson's disease with different sides of onset.Frontiers in aging neuroscience · 2025Article
- Machine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.Sensors (Basel, Switzerland) · 2024Article
- Disrupted gray matter connectome in vestibular migraine: a combined machine learning and individual-level morphological brain network analysis.The journal of headache and pain · 2024Article
- Individual cerebellar metabolic connectome in patients with MTLE and NTLE associated with surgical prognosis.European journal of nuclear medicine and molecular imaging · 2024Article
- Combined brain topological metrics with machine learning to distinguish essential tremor and tremor-dominant Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Differences of individual gray matter networks between MCI patients who converted to AD within 3 Years and nonconverters.Heliyon · 2024Article
- The characteristic patterns of individual brain susceptibility networks underlie Alzheimer's disease and white matter hyperintensity-related cognitive impairment.Translational psychiatry · 2024Article
- Functional and structural gradients reveal atypical hierarchical organization of Parkinson's disease.Human brain mapping · 2024Article
- Pathobiology of Cognitive Impairment in Parkinson Disease: Challenges and Outlooks.International journal of molecular sciences · 2023Review
- Altered large-scale individual-based morphological brain network in spinocerebellar ataxia type 3.CNS neuroscience & therapeutics · 2023Article
- Age and sex differentially shape brain networks in Parkinson's disease.CNS neuroscience & therapeutics · 2023Article
- Amplitude of low-frequency fluctuation-based regional radiomics similarity network: Biomarker for Parkinson's disease.Heliyon · 2023Article
- Brain functional network abnormalities in parkinson's disease with mild cognitive impairment.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
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8 authors.
Funding
Abstract
While previous structural-covariance studies have an advanced understanding of brain alterations in Parkinson's disease (PD), brain-behavior relationships have not been examined at the individual level. This study investigated the topological organization of grey matter (GM) networks, their relation to disease severity, and their potential imaging diagnostic value in PD. Fifty-four early-stage PD patients and 54 healthy controls (HC) underwent structural T1-weighted magnetic resonance imaging. GM networks were constructed by estimating interregional similarity in the distributions of regional GM volume using the Kullback-Leibler divergence measure. Results were analyzed using graph theory and network-based statistics (NBS), and the relationship to disease severity was assessed. Exploratory support vector machine analyses were conducted to discriminate PD patients from HC and different motor subtypes. Compared with HC, GM networks in PD showed a higher clustering coefficient (P = 0.014) and local efficiency (P = 0.014). Locally, nodal centralities in PD were lower in postcentral gyrus and temporal-occipital regions, and higher in right superior frontal gyrus and left putamen. NBS analysis revealed decreased morphological connections in the sensorimotor and default mode networks and increased connections in the salience and frontoparietal networks in PD. Connection matrices and graph-based metrics allowed single-subject classification of PD and HC with significant accuracy of 73.1 and 72.7%, respectively, while graph-based metrics allowed single-subject classification of tremor-dominant and akinetic-rigid motor subtypes with significant accuracy of 67.0%. The topological organization of GM networks was disrupted in early-stage PD in a way that suggests greater segregation of information processing. There is potential for application to early imaging diagnosis.
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