Cited by 46Multiple Sclerosis Research StudiesAdvanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

White matter network disruption and cognitive dysfunction in neuromyelitis optica spectrum disorder.

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Cho, Eun Bin, Han, Cheol E., Seo, Sang Won, Chin, Juhee, Shin, Jeong-Hyeon, Cho, Hye-Jin, Seok, Jin Myoung, Kim, Sung Tae +5 more·2018·Frontiers in Neurology

Abstract

Background In neuromyelitis optica spectrum disorder (NMOSD), brain involvement is common and cognitive dysfunction is frequently found. The study investigated alterations of white matter (WM) connectivity using graph theory and correlations with cognitive dysfunction in patients with NMOSD. Methods We prospectively enrolled patients with NMOSD (N=14) and age- and sex-matched healthy controls (N=21). Structural connections between any pair of the 90 cortical and subcortical regions were established using diffusion tensor imaging and graph theory. Network-based statistics was employed to assess differences in WM connectivity between the NMOSD and healthy control groups. We further investigated the relationship between the topological network characteristics and cognitive test performances. Results WM network analysis showed decreased total strength of brain networks and two disrupted sub-networks in patients with NMOSD. The first featured six hub nodes in the rectus, hippocampus, calcarine, cuneus, and precuneus with the left-sided predominance. The second had six hub nodes in the orbitomiddle frontal, postcentral, superior parietal, superior and middle temporal, and caudate with the right-sided predominance. Compared to healthy controls, NMOSD patients showed poor performance on tests for attention/working memory and processing speed, visuospatial processing, and executive function, which were associated with significant decreases in nodal clustering coefficient, local efficiency, and regional efficiency in the disrupted sub-networks (all p < 0.05). Conclusions The data show the overall WM disruption and the relationship between poor cognitive function and sub-network alterations identified by the network analysis in NMOSD patients. We suggest that cognitive dysfunction is related to dysconnectivity of WM network including default mode network in NMOSD.

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  1. [49]Maier-Hein K Neher P Houde JC Cote MA Garyfallidis E Zhong J. The challenge of mapping the human connectome based on diffusion tractography. Nat Commun. (2017) 8: 1349. 10.1038/s41467-017-01285-x 29116093 PMC5677006 · DOI

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Authors
Cho, E. B., Han, C. E., Seo, S. W., Chin, J., Shin, J.-H., Cho, H.-J., Seok, J. M., Kim, S. T., Kim, B. J., Na, D. L., Lee, K.-H., Seong, J.-K., & Min, J.-H.
Affiliations
  • Gyeongsang National University (KR)
  • Korea University (KR)
  • Samsung Medical Center (KR)
  • The Catholic University of Korea Bucheon St. Mary's Hospital (KR)
  • Soonchunhyang University (KR)
Corresponding author
  • Seong, Joon-Kyung
  • Min, Ju-Hong
Venue
Frontiers in Neurology
Published
2018-12-17
Volume
9
Pages
1104-1104
ISSN
1664-2295 (ISSN-L)
OpenAlex
W2905512414
Cited by
46
References
49
Citations by year
2026: 4 · 2025: 4 · 2024: 10 · 2023: 8 · 2022: 4 · 2021: 9 · 2020: 6 · 2019: 1
FWCI
3.04
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Neurology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Research Foundation (2016R1D1A1B03934990)
  • National Research Foundation of Korea (2016R1D1A1B03934476, 2016R1D1A1B03934990)
  • Ministry of Science and ICT, South Korea (2017M3C7A1048092)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
neuromyelitis optica spectrum disorder, white matter connectivity, cognitive impairment, brain network disruption, network hubs, nodal efficiency, default mode network, working memory, executive function, processing speed, visuospatial processing

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