White matter network disruption and cognitive dysfunction in neuromyelitis optica spectrum disorder.
Open accessAbstract
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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The FA-weighted connectivity matrix may incorporate WM damage better than mere streamline counts.
“therefore, the FA-weighted connectivity matrix may incorporate the WM damage better than mere streamline counts (Cho et al., 2018).”
From Effects of Alzheimer’s and Vascular Pathologies on Structural Connectivity in Early- and Late-Onset Alzheimer’s Disease (2021) · cites this paper as Cho et al., 2018
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Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · see citing works
Beck, A. T., Steer, R. A., & Brown, G. (2011) · PsycTESTS Dataset · doi:10.1037/t00742-000 · Cited by 7,535 · see citing works
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128 · see citing works
Efficient behavior of small-world networks
Latora, V., & Marchiori, M. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.198701 · Cited by 5,119 · see citing works
Functional cartography of complex metabolic networks
Guimerà, R., & Nunes Amaral, L. A. (2005) · Nature · doi:10.1038/nature03288 · Cited by 3,983 · cited 1× · see citing works
“The participation coefficient of a node captures its role in the modular organization (33).”
BackgroundNetwork-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750 · see citing works
Revised diagnostic criteria for neuromyelitis optica
Wingerchuk, D. M., Lennon, V. A., Pittock, S. J., Lucchinetti, C. F., & Weinshenker, B. G. (2006) · Neurology · doi:10.1212/01.wnl.0000216139.44259.74 · Cited by 2,568 · see citing works
Efficiency and Cost of Economical Brain Functional Networks
Achard, S., & Bullmore, E. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030017 · Cited by 2,553 · see citing works
Rich-club organization of the human connectome
van den Heuvel, M. P., & Sporns, O. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3539-11.2011 · Cited by 2,354 · see citing works
Cognitive dysfunction in multiple sclerosis.
Rao, S. M., Leo, G. J., Bernardin, L., & Unverzagt, F. W. (1991) · Neurology · doi:10.1212/wnl.41.5.685 · Cited by 2,136 · see citing works
Ruiter, A. M., Meilof, J. F., Somanje-Bolweg, R. R. J., van Gorsel, E., & Kalkers, N. F. (2017) · Case Reports in Neurology · doi:10.1159/000455942 · Cited by 1,762 · see citing works
Tractography-based connectomes are dominated by false-positive connections
Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,361 · see citing works
The role of default network deactivation in cognition and disease
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X.-J., & Krystal, J. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.008 · Cited by 978 · see citing works
Weight-conserving characterization of complex functional brain networks
Rubinov, M., & Sporns, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.069 · Cited by 871 · see citing works
Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS)
Benedict, R. H. B., Cookfair, D. L., Gavett, R. A., Gunther, M. W., Munschauer, F. E., Garg, N., & Weinstock‐Guttman, B. (2006) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617706060723 · Cited by 800 · see citing works
MRI characteristics of neuromyelitis optica spectrum disorder: An international update
Kim, H. J., Paul, F., Lana-Peixoto, M. A., Tenembaum, S., Asgari, N., Palace, J., Klawiter, E. C., Sato, D. K., de Seze, J., Wuerfel, J., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001367 · Cited by 664 · see citing works
Self-citationLo, C. Z., Wang, P.-N., Chou, K., Wang, J., Yong He, A., & Lin, C. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4136-10.2010 · Cited by 538 · see citing works
Cognitive neuroscience: Primary visual cortex and visual awareness
Tong, F. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1055 · Cited by 507 · see citing works
Turken, U., Whitfield-Gabrieli, S., Bammer, R., Baldo, J. V., Dronkers, N. F., & Gabrieli, J. D. E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.057 · Cited by 500 · see citing works
DTI and MTR abnormalities in schizophrenia: Analysis of white matter integrity
Kubicki, M. R., Park, H., Westin, C., Nestor, P. G., Mulkern, R. V., Maier, S. E., Niznikiewicz, M. A., Connor, E. E., Levitt, J. J., Frumin, M., et al. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.026 · Cited by 433 · see citing works
A tutorial in connectome analysis: Topological and spatial features of brain networks
Kaiser, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.025 · Cited by 371 · see citing works
Default-mode network dysfunction and cognitive impairment in progressive MS
Rocca, M. A., Valsasina, P., Absinta, M., Riccitelli, G. C., Rodegher, M., Misci, P., Rossi, P., Falini, A., Comi, G., & Filippi, M. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d9ed91 · Cited by 323 · see citing works
Shu, N., Liu, Y., Li, K., Duan, Y., Wang, J., Yu, C., Dong, H., Ye, J., & Yong He, A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr039 · Cited by 315 · see citing works
Diffusion magnetic resonance imaging: Its principle and applications
Mori, S., & Barker, P. B. (1999) · The Anatomical Record · doi:10.1002/(sici)1097-0185(19990615)257:3 · Cited by 314 · see citing works
Aquaporin-4 Antibodies in Neuromyelitis Optica and Longitudinally Extensive Transverse Myelitis
Waters, P. J., Jarius, S., Littleton, E. T., Leite, M. I., Jacob, S., Gray, B., Geraldes, R., Vale, T., Jacob, A., Palace, J. A., et al. (2008) · Archives of Neurology · doi:10.1001/archneur.65.7.913 · Cited by 293 · see citing works
BRIEF REPORT Normative Data on the Korean Version of the Boston Naming Test
Kim, H., & Na, D. L. (1999) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.21.1.127.942 · Cited by 256 · see citing works
Self-citationEllison, A. (2004) · Brain · doi:10.1093/brain/awh244 · Cited by 213 · see citing works
Cognitive impairment and cortical degeneration in neuromyelitis optica
Saji, E., Arakawa, M., Yanagawa, K., Toyoshima, Y., Yokoseki, A., Okamoto, K., Otsuki, M., Akazawa, K., Kakita, A., Takahashi, H., et al. (2012) · Annals of Neurology · doi:10.1002/ana.23721 · Cited by 175 · see citing works
Magnetization transfer and diffusion tensor MRI show gray matter damage in neuromyelitis optica
Rocca, M. A., Agosta, F., Mezzapesa, D. M., Martinelli, V., Salvi, F., Ghezzi, A., Bergamaschi, R., Comı, G., & Filippi, M. (2004) · Neurology · doi:10.1212/01.wnl.0000106946.08741.41 · Cited by 125 · see citing works
Joy, S. P., FEIN, D. A., & Kaplan, E. (2003) · Assessment · doi:10.1177/0095399702250335 · Cited by 119 · see citing works
The limits of functional reorganization in multiple sclerosis
Schoonheim, M. M., Geurts, J. J. G., & Barkhof, F. (2010) · Neurology · doi:10.1212/wnl.0b013e3181db9957 · Cited by 117 · see citing works
White Matter Atrophy and Cognitive Dysfunctions in Neuromyelitis Optica
Blanc, F., Noblet, V., Jung, B., Rousseau, F., Renard, F., Bourre, B., Longato, N., Cremel, N., Bitonto, L. D., Kleitz, C., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033878 · Cited by 112 · see citing works
Duan, Y., Liu, Y., Liang, P., Jia, X., Yu, C., Qin, W., Sun, H. Y., Liao, Z., Ye, J., & Li, K. (2011) · European Journal of Radiology · doi:10.1016/j.ejrad.2011.01.065 · Cited by 84 · see citing works
Cognitive and psychiatric comorbidities in neuromyelitis optica
Moore, P., Methley, A. M., Pollard, C., Mutch, K., Hamid, S. H. M., Elsone, L., & Jacob, A. (2015) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2015.11.031 · Cited by 81 · see citing works
Liu, Y., Duan, Y., Yong He, A., Yu, C., Wang, J., Huang, J., Ye, J., Butzkueven, H., Li, K., & Shu, N. (2011) · Multiple Sclerosis Journal · doi:10.1177/1352458511431731 · Cited by 66 · see citing works
Abnormal baseline brain activity in patients with neuromyelitis optica: A resting-state fMRI study
Liu, Y., Liang, P., Duan, Y., Jia, X., Wang, F., Yu, C., Qin, W., Dong, H., Ye, J., & Li, K. (2010) · European Journal of Radiology · doi:10.1016/j.ejrad.2010.05.002 · Cited by 64 · see citing works
The Role of Demyelination in Neuromyelitis Optica Damage: Diffusion-Tensor MR Imaging Study
Lopes, F. C. R., Doring, T. M., Martins, C., Cabral, F. C., Malfetano, F. R., Pereira, V. C. S. R., Alves‐Leon, S. V., & Gasparetto, E. L. (2012) · Radiology · doi:10.1148/radiol.12111241 · Cited by 60 · see citing works
Park, H., Kang, E., Kang, H., Kim, J. S., Jensen, O. B., Chung, C. K., & Lee, D. S. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0046 · Cited by 56 · see citing works
Liu, Y., Duan, Y., Yong He, A., Wang, J., Xia, M., Yu, C., Dong, H., Ye, J., Butzkueven, H., Li, K., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048846 · Cited by 48 · see citing works
Depressive state and chronic fatigue in multiple sclerosis and neuromyelitis optica
Akaishi, T., Nakashima, I., Misu, T., Fujihara, K., & Aoki, M. (2015) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2015.05.007 · Cited by 48 · see citing works
Liang, P., Liu, Y., Jia, X., Duan, Y., Yu, C., Qin, W., Dong, H., Ye, J., & Li, K. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.05.026 · Cited by 45 · see citing works
He, D., Wu, Q., Chen, X., Zhao, D., Gong, Q., & Zhou, H. (2011) · Brain and Cognition · doi:10.1016/j.bandc.2011.05.007 · Cited by 42 · see citing works
Liu, Y., Xie, T., Yong He, A., Duan, Y., Huang, J., Ren, Z., Gong, G., Wang, J., Ye, J., Dong, H., et al. (2014) · European Radiology · doi:10.1007/s00330-014-3239-1 · Cited by 36 · see citing works
Widespread cortical thinning in patients with neuromyelitis optica spectrum disorder
Kim, S. H., Kwak, K., Hyun, J., Jeong, I. H., Jo, H. ‐., Joung, A., Kim, J. H., Lee, S. H., Yun, S., Joo, J., et al. (2016) · European Journal of Neurology · doi:10.1111/ene.13011 · Cited by 29 · see citing works
Self-citationComparability of WAIS—R Digit Symbol and the Symbol Digit Modalities Test
Morgan, S. F., & Wheelock, J. (1995) · Perceptual and Motor Skills · doi:10.2466/pms.1995.80.2.631 · Cited by 14 · see citing works
Flagged first, then by citations
2 of the 49 references couldn’t be matched to a known paper.
Research works printed but not linked: 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
Cited by
Sorted by citations
Oertel, F. C., Schließeit, J., Brandt, A. U., & Paul, F. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00608 · Cited by 71 · see citing works
Wu, Q., Hu, H., Chen, W., Chen, H., Chen, L., Zhou, J., Liu, H., Wu, F., & Xu, X. (2021) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.62.4.5 · Cited by 58 · see citing works
Hub overload and failure as a final common pathway in neurological brain network disorders
Stam, C. J. (2023) · Network Neuroscience · doi:10.1162/netn_a_00339 · Cited by 50 · see citing works
Cognitive impairment in NMOSD—More questions than answers
Czarnecka, D., Oset, M., Karlińska, I., & Stasiołek, M. (2020) · Brain and Behavior · doi:10.1002/brb3.1842 · Cited by 45 · see citing works
Kim, D., Lee, J. Y., Jeong, B., Ahn, J., Kim, J. I., Lee, E. S., Kim, H., Lee, H. J., & Han, C. E. (2021) · Autism Research · doi:10.1002/aur.2609 · Cited by 42 · see citing works
Self-citationHümmert, M. W., Stern, C., Paul, F., Duchow, A. S., Bellmann–Strobl, J., Ayzenberg, I., Schwake, C., Kleiter, I., Hellwig, K., Jarius, S., et al. (2023) · Multiple Sclerosis Journal · doi:10.1177/13524585231151212 · Cited by 26 · see citing works
The risk of dementia in multiple sclerosis and neuromyelitis optica spectrum disorder
Cho, E. B., Jung, S. Y., Jung, J., Yeo, Y., Kim, H. J., Han, K., Shin, D. W., & Min, J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1214652 · Cited by 21 · see citing works
Self-citationZheng, Q., Chen, X., Xie, M., Fu, J., Han, Y., Wang, J., Zeng, C., & Li, Y. (2020) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2020.102714 · Cited by 19 · see citing works
Volume of hippocampal subfields and cognitive deficits in neuromyelitis optica spectrum disorders
Cacciaguerra, L., Valsasina, P., Meani, A., Riccitelli, G. C., Radaelli, M., Rocca, M. A., & Filippi, M. (2021) · European Journal of Neurology · doi:10.1111/ene.15073 · Cited by 19 · see citing works
Wang, Y., Kwapong, W. R., Tu, Y., Xia, Y., Tang, J., Miao, H., Liu, X., Lü, Y., & Yan, Z. (2020) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2020.102187 · Cited by 17 · see citing works
Kim, G., Jeong, B., Choi, M., Kim, W., Han, C. E., & Paik, N. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117266 · Cited by 17 · see citing works
Self-citationVlahovic, L., McDonald, J., Hinman, J., Tomczak, A. J., Lock, C., Palmer, C. A., Cook, L. J., Yeaman, M. R., Burnett, M. S., Deutsch, G. K., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207965 · Cited by 15 · see citing works
Cacciaguerra, L., Mistri, D., Valsasina, P., Martinelli, V., Filippi, M., & Rocca, M. A. (2022) · Multiple Sclerosis Journal · doi:10.1177/13524585221107125 · Cited by 14 · see citing works
Kazzi, C., Alpitsis, R., O'Brien, T. J., Malpas, C. B., & Monif, M. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.105596 · Cited by 14 · see citing works
Lee, W. J., Yoon, C. W., Kim, S.-W., Jeong, H. J., Seo, S., Na, D. L., Noh, Y., & Seong, J.-K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.606600 · Cited by 12 · see citing works
Self-citationAssociation of subcortical structural shapes with fatigue in neuromyelitis optica spectrum disorder
Seok, J. M., Cho, W., Son, D.-H., Shin, J. H., Cho, E. B., Kim, S. T., Kim, B. J., Seong, J., & Min, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-05531-1 · Cited by 12 · see citing works
Self-citationJiang, Z., Cai, Y., Zhang, X., Lv, Y., Zhang, M., Li, S., Lin, G., Bao, Z., Liu, S., & Gu, W. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.715517 · Cited by 11 · see citing works
Alterations of Structural Network Efficiency in Early-Onset and Late-Onset Alzheimer’s Disease
Heo, S., Yoon, C. W., Kim, S.-Y., Kim, W., Na, D. L., & Noh, Y. (2024) · Journal of Clinical Neurology · doi:10.3988/jcn.2023.0092 · Cited by 10 · see citing works
Self-citationWhite matter tracts involved in subcortical unilateral spatial neglect in subacute stroke
Cha, S., Jeong, B., Choi, M., Kwon, S., Lee, S. H., Paik, N., Kim, W., & Han, C. E. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.992107 · Cited by 10 · see citing works
Self-citationMa, Q., Wu, X. Q., Pan, J., Zhu, Q., & Mao, X. (2021) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2021.106822 · Cited by 9 · see citing works
Abnormal Brain Connectivity in Carpal Tunnel Syndrome Assessed by Graph Theory
Xing, X., Hua, X., Zheng, M., Wu, J., Huo, B., Ma, J., Ma, Z., Li, S., & Xu, J. (2021) · Journal of Pain Research · doi:10.2147/jpr.s289165 · Cited by 9 · see citing works
Cho, E. B., Kim, D., Jeong, B., Shin, J. H., Chung, Y. H., Kim, S. T., Kim, B. J., Han, C. E., & Min, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-09065-4 · Cited by 9 · see citing works
Self-citationWang, Y., Yang, Z., Zheng, X., Liang, X., Chen, J., He, T., Zhu, Y., Wu, L., Huang, M., Zhang, N., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-54518-7 · Cited by 8 · see citing works
Shen, Z., Zhang, S., Yu, W., Yue, M., & Hong, C. (2024) · Aging and Disease · doi:10.14336/ad.2024.0112 · Cited by 6 · see citing works
Paths to hippocampal damage in neuromyelitis optica spectrum disorders
Zakani, M., Nigritinou, M., Ponleitner, M., Takai, Y., Hofmann, D., Hillebrand, S., Höftberger, R., Bauer, J., Lasztóczi, B., Misu, T., et al. (2023) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12893 · Cited by 6 · see citing works
Wan, X., Tang, Y., Wu, Y., Xu, Z., Chen, W., Chen, F., Luo, C., & Wang, F. (2024) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2024.110949 · Cited by 6 · see citing works
Jiang, Z., Zhang, X., Lv, Y., Zheng, X., Zhang, H., Zhang, X., Jiang, C., Lin, G., & Gu, W. (2020) · Neural Plasticity · doi:10.1155/2020/9796419 · Cited by 6 · see citing works
Kumar, S., Gangopadhyay, G., Biswas, A., Dubey, S., Pandit, A., Das, S., & Ray, B. K. (2021) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-021-00351-y · Cited by 6 · see citing works
Panah, M. Y., Mirmosayyeb, O., Vaheb, S., Rafiei, N., Ghaffary, E. M., Mahmoudi, F., Nelson, F. M., & Shaygannejad, V. (2025) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2025.106921 · Cited by 5 · see citing works
Rivas‐Alonso, V., Cáceres, J., Ramírez‐Benítez, E. R., & Solís‐Vivanco, R. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.105612 · Cited by 5 · see citing works
Structural disconnection is associated with disability in the neuromyelitis optica spectrum disorder
Kim, M., Choi, K. S., Hyun, R. C., Hwang, I., Kwon, Y. N., Sung, J., Kim, S. M., & Kim, J. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00792-4 · Cited by 4 · see citing works
Self-citationMiao, Y., Zhong, X., Jia, S., Bian, Y., Han, J., & Qiu, F. (2023) · Brain Sciences · doi:10.3390/brainsci13010090 · Cited by 2 · see citing works
Ma, H., Zhu, Y., Liang, X., Wu, L., Wang, Y., Li, X. L., Qian, L., Cheung, G. L., & Zhou, F. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1345843 · Cited by 2 · see citing works
Wang, X., Yang, Y., Rui, Q., Zhao, Y., Dai, H., Xue, Q., & Li, Y. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.106174 · Cited by 2 · see citing works
Ro, S., Kim, D., Cho, E. B., Chung, Y. H., Ju, H., Park, K., Kim, S. T., Han, C. E., & Min, J. (2025) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2025.106862 · Cited by 1 · see citing works
Self-citationCognitive impairment in neuromyelitis optica spectrum disorders
Алексеевна, В. Е., Kasatkin, D. S., Korchevnyi, S. E., & Bereznyak, K. I. (2024) · Neurology neuropsychiatry Psychosomatics · doi:10.14412/2074-2711-2024-3-117-122 · Cited by 1 · see citing works
Xu, Z., Li, Y., Fu, Q., Wang, C., Yu, Y., Fang, X., Zhu, W., Wu, X., & Wei, R. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.105713 · Cited by 1 · see citing works
Neurophysiological Correlates of Fatigue in Multiple Sclerosis
Newland, P., Chen, L., Sun, P., & Zempel, J. M. (2021) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2021.02.012 · Cited by 1 · see citing works
Ramezani, N., Yarahmadi, P., Alirezaei, M., Forouzannia, S. M., Mozdabadi, R. S. K., Aliabadi, H. R., Gheini, M. R., Sahraian, M. A., & Moghadasi, A. N. (2020) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2020.102387
White matter tracts involved in complex regional pain syndrome after subcortical stroke
Cha, S., Jeong, B., Cho, H.-M., Chang, W. K., Paik, N., Kim, W., & Han, C. E. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1699775
Self-citationCognitive Dysfunction and Assessment in Multiple Sclerosis
Oh, E., & Oh, S.-I. (2025) · Journal of Multiple Sclerosis and Neuroimmunology · doi:10.59578/jmsni.2025.16.2.35-44
Zhang, Y., Xu, N. L. J., Yu, K., Wang, X., Jiang, X., Wang, D., Yang, Q., Qu, Y., Wang, S., Liu, W., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-37456-4
Brain network alterations in autoimmune diseases: Current status and future prospects
Lee, X. N., Zhang, H., & Zhou, H. (2026) · iScience · doi:10.1016/j.isci.2026.116682
Leveraro, E., Cipriano, E., Lombardi, G., Currò, D., Tazza, F., Novi, G., Laroni, A., Gazzola, P., Malentacchi, M., Petrucci, L., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag334
Sarhan, N. T., & ELmotayam, A. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1015745
- 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
- ORCID
- Venue
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Published
- 2018-12-17
- Volume
- 9
- Pages
- 1104-1104
- ISSN
- 1664-2295 (ISSN-L)
- PMC
- PMC6304415
- 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
- gold
- doi.org
- 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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