ReviewClinical parkinsonism & related disorders2026
Structural covariance network alterations across the spectrum of cognitive status in Parkinson's disease.
Review in Clinical parkinsonism & related disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Background: Parkinson's disease (PD) is a neurodegenerative disorder in which cognitive impairment frequently emerges as the disease progresses. Structural covariance network (SCN) analysis provides a framework for characterizing large-scale brain network organization beyond regional atrophy. This study aimed to assess alterations in SCN topology across the cognitive spectrum of PD. Methods: We retrospectively reviewed 16 healthy controls (HC), 20 patients with PD and normal cognition (PD-CN), and 22 patients with PD and mild cognitive impairment (PD-MCI). Cortical thickness-based SCNs were constructed, and graph-theoretical analyses were performed to assess global network metrics, nodal centrality, and modular organization. Results: Using a bootstrap-based area-under-the-curve framework ( Conclusions: SCN analysis revealed stage-dependent network reorganization in PD, suggesting the utility of network-based approaches for characterizing large-scale brain alterations related to cognitive impairment.
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