Impaired Efficiency and Resilience of Structural Network in Spinocerebellar Ataxia Type 3

Yu Te Wu, Shang Ran Huang, Chi Wen Jao, Bing Wen Soong, Jiing Feng Lirng, Hsiu Mei Wu, Po Shan Wang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Background: Recent studies have shown that the patients with spinocerebellar ataxia type 3 (SCA3) may not only have disease involvement in the cerebellum and brainstem but also in the cerebral regions. However, the relations between the widespread degenerated brain regions remains incompletely explored. Methods: In the present study, we investigate the topological properties of the brain networks of SCA3 patients (n = 40) constructed based on the correlation of three-dimensional fractal dimension values. Random and targeted attacks were applied to measure the network resilience of normal and SCA3 groups. Results: The SCA3 networks had significantly smaller clustering coefficients (P < 0.05) and global efficiency (P < 0.05) but larger characteristic path length (P < 0.05) than the normal controls networks, implying loss of small-world features. Furthermore, the SCA3 patients were associated with reduced nodal betweenness (P < 0.001) in the left supplementary motor area, bilateral paracentral lobules, and right thalamus, indicating that the motor control circuit might be compromised. Conclusions: The SCA3 networks were more vulnerable to targeted attacks than the normal controls networks because of the effects of pathological topological organization. The SCA3 revealed a more sparsity and disrupted structural network with decreased values in the largest component size, mean degree, mean density, clustering coefficient, and global efficiency and increased value in characteristic path length. The cortico-cerebral circuits in SCA3 were disrupted and segregated into occipital-parietal (visual-spatial cognition) and frontal-pre-frontal (motor control) clusters. The cerebellum of SCA3 were segregated from cerebellum-temporal-frontal circuits and clustered into a frontal-temporal cluster (cognitive control). Therefore, the disrupted structural network presented in this study might reflect the clinical characteristics of SCA3.

Original languageEnglish
Article number935
JournalFrontiers in Neuroscience
Volume12
DOIs
Publication statusPublished - Dec 17 2018

Keywords

  • brain connectivity
  • fractal dimension
  • graph theoretical analysis
  • spinocerebellar ataxia type 3
  • structural network

ASJC Scopus subject areas

  • Neuroscience(all)

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