ArticleNeuroImage. Clinical2019
Disrupted structural connectivity of fronto-deep gray matter pathways in progressive supranuclear palsy.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy.Annals of clinical and translational neurology · 2026Observational
- Rapid Cognitive Deterioration in Progressive Supranuclear Palsy: A 1-Year Follow-Up Study.Movement disorders clinical practice · 2025Article
- Pathomechanisms of neuropsychiatric disturbances in atypical parkinsonian disorders: a current view.Journal of neural transmission (Vienna, Austria : 1996) · 2025Review
- The Spectrum of Cognitive Impairment in Atypical Parkinsonism Syndromes: A Comprehensive Review of Current Understanding and Research.Diseases (Basel, Switzerland) · 2025Review
- Brainstem and cerebellar radiological findings in progressive supranuclear palsy.Brain communications · 2025Review
- Transcriptional expression patterns of the cortical morphometric similarity network in progressive supranuclear palsy.CNS neuroscience & therapeutics · 2024Article
- Pathomechanisms of depression in progressive supranuclear palsy.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Pathomechanisms of cognitive impairment in progressive supranuclear palsy.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Waiting impulsivity in progressive supranuclear palsy-Richardson's syndrome.Frontiers in neuroscience · 2023Article
- Interplay of tau and functional network connectivity in progressive supranuclear palsy: a [European journal of nuclear medicine and molecular imaging · 2022Article
- Evolving concepts in progressive supranuclear palsy and other 4-repeat tauopathies.Nature reviews. Neurology · 2021Review
- Impaired Structural Connectivity in Parkinson's Disease Patients with Mild Cognitive Impairment: A Study Based on Probabilistic Tractography.Brain connectivity · 2021Article
- Differentiation of multiple system atrophy from Parkinson's disease by structural connectivity derived from probabilistic tractography.Scientific reports · 2019Article
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStructural connectivity is a promising methodology to detect patterns of neural network dysfunction in neurodegenerative diseases. This approach has not been tested in progressive supranuclear palsy (PSP).
objectivesThe aim of this study is reconstructing the structural connectome to characterize and detect the pathways of degeneration in PSP patients compared with healthy controls and their correlation with clinical features. The second objective is to assess the potential of structural connectivity measures to distinguish between PSP patients and healthy controls at the single-subject level.
methodsTwenty healthy controls and 19 PSP patients underwent diffusion-weighted MRI with a 3T scanner. Structural connectivity, represented by number of streamlines, was derived from probabilistic tractography. Global and local network metrics were calculated based on graph theory.
resultsReduced numbers of streamlines were predominantly found in connections between frontal areas and deep gray matter (DGM) structures in PSP compared with controls. Significant changes in structural connectivity correlated with clinical features in PSP patients. An abnormal small-world architecture was detected in the subnetwork comprising the frontal lobe and DGM structures in PSP patients. The classification procedure achieved an overall accuracy of 82.23% with 94.74% sensitivity and 70% specificity.
conclusionOur findings suggest that modelling the brain as a structural connectome is a useful method to detect changes in the organization and topology of white matter tracts in PSP patients. Secondly, measures of structural connectivity have the potential to correctly discriminate between PSP patients and healthy controls.
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