ArticleEuropean radiology2019
Altered structural connectivity of the motor subnetwork in multiple system atrophy with cerebellar features.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The role of neuro-imaging in multiple system atrophy.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- White Matter Abnormalities Track Disease Progression in Multiple System Atrophy.Movement disorders clinical practice · 2024Article
- Free water imaging in Parkinson's disease and atypical parkinsonian disorders.Journal of neurology · 2024Article
- Altered brain white matter structural motor network in spinocerebellar ataxia type 3.Annals of clinical and translational neurology · 2023Article
- MR imaging and spectroscopy in degenerative ataxias: toward multimodal, multisite, multistage monitoring of neurodegeneration.Current opinion in neurology · 2020Review
- Multiple system atrophy - a clinicopathological update.Free neuropathology · 2020Article
- Neuropathology and pathogenesis of extrapyramidal movement disorders: a critical update-I. Hypokinetic-rigid movement disorders.Journal of neural transmission (Vienna, Austria : 1996) · 2019Review
- Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI.NeuroImage. Clinical · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
objectivesTo investigate the structural connectivity of the motor subnetwork in multiple system atrophy with cerebellar features (MSA-C), a distinct subtype of MSA, characterized by predominant cerebellar symptoms.
methodsTwenty-three patients with MSA-C and 25 age- and gender-matched healthy controls were recruited for the study. Disease severity was quantified using the Unified Multiple System Atrophy Rating Scale (UMSARS). Diffusion MRI images were acquired and used to compute the structural connectomes (SCs) using probabilistic fiber tracking. The motor network with 12 brain regions and 26 cerebellar regions was extracted and was compared between the groups using analysis of variance at a global (network-wide), nodal (at each node), and edge (at each connection) levels, and was corrected for multiple comparisons. In addition, the acquired connectivity measures were correlated with duration of illness, total Unified MSA Rating Scale (UMSARS), and the motor component score.
resultsSignificantly lower global network metrics-global density, transitivity, clustering coefficient, and characteristic path length-were observed in MSA-C (corrected p < 0.05). Reduced nodal strength was observed in the bilateral ventral diencephalon, the left thalamus, and several cerebellar regions. Network-based statistics revealed significant abnormal edge-wise connectivity in 40 connections (corrected p < 0.01), with majority of deficits observed in the cerebellum. Finally, significant negative correlations were observed between UMSARS scores and thalamic and cerebellar connectivity (p < 0.05) as well as between duration of illness and cerebellar connectivity.
conclusionsAbnormal connectivity of the basal ganglia and cerebellar network may be causally implicated for the motor features observed in MSA-C. KEY POINTS: • Structural connectivity of the motor subnetwork was explored in patients with multiple system atrophy with cerebellar features (MSA-C) using probabilistic tractography. • The motor subnetwork in MSA-C has significant alterations in both basal ganglia and cerebellar connectivity, with a higher extent of abnormality in the cerebellum. • These findings may be causally implicated for the motor features of cerebellar dysfunction and parkinsonism observed in MSA-C.
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