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Disrupted structural network of inferomedial temporal regions in relapsing–remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder
by
Shin, Jong Hwa
, Jeong, ByeongChang
, Kim, Byoung Joon
, Min, Ju-Hong
, Kim, Daegyeom
, Han, Cheol E.
, Cho, Eun Bin
, Chung, Yeon Hak
, Kim, Sung Tae
in
631/378
/ 631/378/1689
/ 631/378/1689/1666
/ Amygdala
/ Autoimmune diseases
/ Central nervous system
/ Demyelination
/ Humanities and Social Sciences
/ Humans
/ Magnetic Resonance Imaging - methods
/ multidisciplinary
/ Multiple sclerosis
/ Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging
/ Multiple Sclerosis, Relapsing-Remitting - pathology
/ Network topologies
/ Neural networks
/ Neuromyelitis
/ Neuromyelitis Optica - diagnostic imaging
/ Neuromyelitis Optica - pathology
/ Parahippocampal gyrus
/ Patients
/ Science
/ Science (multidisciplinary)
/ Statistical analysis
/ Substantia alba
/ Temporal Lobe - diagnostic imaging
/ Temporal Lobe - pathology
/ Thalamus
2022
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Disrupted structural network of inferomedial temporal regions in relapsing–remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder
by
Shin, Jong Hwa
, Jeong, ByeongChang
, Kim, Byoung Joon
, Min, Ju-Hong
, Kim, Daegyeom
, Han, Cheol E.
, Cho, Eun Bin
, Chung, Yeon Hak
, Kim, Sung Tae
in
631/378
/ 631/378/1689
/ 631/378/1689/1666
/ Amygdala
/ Autoimmune diseases
/ Central nervous system
/ Demyelination
/ Humanities and Social Sciences
/ Humans
/ Magnetic Resonance Imaging - methods
/ multidisciplinary
/ Multiple sclerosis
/ Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging
/ Multiple Sclerosis, Relapsing-Remitting - pathology
/ Network topologies
/ Neural networks
/ Neuromyelitis
/ Neuromyelitis Optica - diagnostic imaging
/ Neuromyelitis Optica - pathology
/ Parahippocampal gyrus
/ Patients
/ Science
/ Science (multidisciplinary)
/ Statistical analysis
/ Substantia alba
/ Temporal Lobe - diagnostic imaging
/ Temporal Lobe - pathology
/ Thalamus
2022
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Disrupted structural network of inferomedial temporal regions in relapsing–remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder
by
Shin, Jong Hwa
, Jeong, ByeongChang
, Kim, Byoung Joon
, Min, Ju-Hong
, Kim, Daegyeom
, Han, Cheol E.
, Cho, Eun Bin
, Chung, Yeon Hak
, Kim, Sung Tae
in
631/378
/ 631/378/1689
/ 631/378/1689/1666
/ Amygdala
/ Autoimmune diseases
/ Central nervous system
/ Demyelination
/ Humanities and Social Sciences
/ Humans
/ Magnetic Resonance Imaging - methods
/ multidisciplinary
/ Multiple sclerosis
/ Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging
/ Multiple Sclerosis, Relapsing-Remitting - pathology
/ Network topologies
/ Neural networks
/ Neuromyelitis
/ Neuromyelitis Optica - diagnostic imaging
/ Neuromyelitis Optica - pathology
/ Parahippocampal gyrus
/ Patients
/ Science
/ Science (multidisciplinary)
/ Statistical analysis
/ Substantia alba
/ Temporal Lobe - diagnostic imaging
/ Temporal Lobe - pathology
/ Thalamus
2022
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Disrupted structural network of inferomedial temporal regions in relapsing–remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder
Journal Article
Disrupted structural network of inferomedial temporal regions in relapsing–remitting multiple sclerosis compared with neuromyelitis optica spectrum disorder
2022
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Overview
Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are two representative chronic inflammatory demyelinating disorders of the central nervous system. We aimed to determine and compare the alterations of white matter (WM) connectivity between MS, NMOSD, and healthy controls (HC). This study included 68 patients with relapsing–remitting MS, 50 with NMOSD, and 26 HC. A network-based statistics method was used to assess disrupted patterns in WM networks. Topological characteristics of the three groups were compared and their associations with clinical parameters were examined. WM network analysis indicated that the MS and NMOSD groups had lower total strength, clustering coefficient, global efficiency, and local efficiency and had longer characteristic path length than HC, but there were no differences between the MS and NMOSD groups. At the nodal level, the MS group had more brain regions with altered network topologies than did the NMOSD group when compared with the HC group. Network alterations were correlated with Expanded Disability Status Scale score and disease duration in both MS and NMOSD groups. Two distinct subnetworks that characterized the disease groups were also identified. When compared with NMOSD, the most discriminative connectivity changes in MS were located between the thalamus, hippocampus, parahippocampal gyrus, amygdala, fusiform gyrus, and inferior and superior temporal gyri. In conclusion, MS patients had greater network dysfunction compared to NMOSD and altered short connections within the thalamus and inferomedial temporal regions were relatively spared in NMOSD compared with MS.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ Amygdala
/ Humanities and Social Sciences
/ Humans
/ Magnetic Resonance Imaging - methods
/ Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging
/ Multiple Sclerosis, Relapsing-Remitting - pathology
/ Neuromyelitis Optica - diagnostic imaging
/ Neuromyelitis Optica - pathology
/ Patients
/ Science
/ Temporal Lobe - diagnostic imaging
/ Thalamus
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