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Research ArticleAdult Brain

Reduced Global Efficiency and Random Network Features in Patients with Relapsing-Remitting Multiple Sclerosis with Cognitive Impairment

R. Hawkins, A.S. Shatil, L. Lee, A. Sengupta, L. Zhang, S. Morrow and R.I. Aviv
American Journal of Neuroradiology March 2020, 41 (3) 449-455; DOI: https://doi.org/10.3174/ajnr.A6435
R. Hawkins
aFrom the Department of Medical Imaging (R.H., A.S.S., A.S., L.Z.)
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A.S. Shatil
aFrom the Department of Medical Imaging (R.H., A.S.S., A.S., L.Z.)
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L. Lee
bDivision of Neurology (L.L.), Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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A. Sengupta
aFrom the Department of Medical Imaging (R.H., A.S.S., A.S., L.Z.)
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L. Zhang
aFrom the Department of Medical Imaging (R.H., A.S.S., A.S., L.Z.)
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S. Morrow
cDivision of Neurology (S.M.), Lawson Health Research Institute, London Health Sciences Centre, University Hospital, London, Ontario, Canada
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R.I. Aviv
dInstitute of Biomaterials and Biomedical Engineering (R.I.A.), University of Toronto, Toronto, Ontario, Canada
eDepartment of Radiology (R.I.A.), University of Ottawa, and Division of Neuroradiology, The Ottawa Hospital, Ottawa, Ontario, Canada.
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References

  1. 1.↵
    1. Kipp M,
    2. van der Valk P,
    3. Amor S
    . Pathology of multiple sclerosis. CNS Neurol Disord Drug Targets 2012;11:506–17 doi:10.2174/187152712801661248 pmid:22583433
    CrossRefPubMed
  2. 2.↵
    1. Sbardella E,
    2. Petsas N,
    3. Tona F, et al
    . Assessing the correlation between grey and white matter damage with motor and cognitive impairment in multiple sclerosis patients. PLoS One 2013;8:e63250 doi:10.1371/journal.pone.0063250 pmid:23696802
    CrossRefPubMed
  3. 3.↵
    1. Geurts JJ,
    2. Barkhof F
    . Grey matter pathology in multiple sclerosis. Lancet Neurol 2008;7:841–51 doi:10.1016/S1474-4422(08)70191-1 pmid:18703006
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. Bo L,
    2. Geurts JJ,
    3. van der Valk P, et al
    . Lack of correlation between cortical demyelination and white matter pathologic changes in multiple sclerosis. Arch Neurol 2007;64:76–80 doi:10.1001/archneur.64.1.76 pmid:17210812
    CrossRefPubMedWeb of Science
  5. 5.↵
    1. Tijms BM,
    2. Series P,
    3. Willshaw DJ, et al
    . Similarity-based extraction of individual networks from gray matter MRI scans. Cereb Cortex 2012;22:1530–41 doi:10.1093/cercor/bhr221 pmid:21878484
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Tewarie P,
    2. Steenwijk MD,
    3. Tijms BM, et al
    . Disruption of structural and functional networks in long-standing multiple sclerosis. Hum Brain Mapp 2014;35:5946–61 doi:10.1002/hbm.22596 pmid:25053254
    CrossRefPubMed
  7. 7.↵
    1. He Y,
    2. Chen ZJ,
    3. Evans AC
    . Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. Cereb Cortex 2007;17:2407–19 doi:10.1093/cercor/bhl149 pmid:17204824
    CrossRefPubMedWeb of Science
  8. 8.↵
    1. Watts DJ,
    2. Strogatz SH
    . Collective dynamics of ‘small-world’ networks. Nature 1998;393:440–42 doi:10.1038/30918 pmid:9623998
    CrossRefPubMedWeb of Science
  9. 9.↵
    1. Van Essen DC
    . A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature 1997;385:313–18 doi:10.1038/385313a0 pmid:9002514
    CrossRefPubMedWeb of Science
  10. 10.↵
    1. He Y,
    2. Chen Z,
    3. Gong G, et al
    . Neuronal networks in Alzheimer’s disease. Neuroscientist 2009;15:333–50 doi:10.1177/1073858409334423 pmid:19458383
    CrossRefPubMedWeb of Science
  11. 11.↵
    1. Tijms BM,
    2. Sprooten E,
    3. Job D, et al
    . Grey matter networks in people at increased familial risk for schizophrenia. Schizophr Res 2015;168:1–8 doi:10.1016/j.schres.2015.08.025 pmid:26330380
    CrossRefPubMed
  12. 12.↵
    1. van Duinkerken E,
    2. Ijzerman RG,
    3. Klein M, et al
    . Disrupted subject-specific gray matter network properties and cognitive dysfunction in type 1 diabetes patients with and without proliferative retinopathy. Hum Brain Mapp 2016;37:1194–208 doi:10.1002/hbm.23096 pmid:26700243
    CrossRefPubMed
  13. 13.↵
    1. Rimkus CM,
    2. Schoonheim MM,
    3. Steenwijk MD, et al
    . Gray matter networks and cognitive impairment in multiple sclerosis. Mult Scler 2018;25:382–91 doi:10.1177/1352458517751650 pmid:29320933
    CrossRefPubMed
  14. 14.↵
    1. Pagani E,
    2. Rocca MA,
    3. Gallo A, et al
    . Regional brain atrophy evolves differently in patients with multiple sclerosis according to clinical phenotype. AJNR Am J Neuroradiol 2005;26:341–46 pmid:15709132
    Abstract/FREE Full Text
  15. 15.↵
    1. Fleischer V,
    2. Groger A,
    3. Koirala N, et al
    . Increased structural white and grey matter network connectivity compensates for functional decline in early multiple sclerosis. Mult Scler 2017;23:432–41 doi:10.1177/1352458516651503 pmid:27246143
    CrossRefPubMed
  16. 16.↵
    1. Thompson AJ,
    2. Banwell BL,
    3. Barkhof F, et al
    . Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2018;17:162–73 doi:10.1016/S1474-4422(17)30470-2 pmid:29275977
    CrossRefPubMed
  17. 17.↵
    1. Walker LA,
    2. Marino D,
    3. Berard JA, et al
    . Canadian Normative Data for Minimal Assessment of Cognitive Function in Multiple Sclerosis. Can J Neurol Sci 2017;44:547–55 doi:10.1017/cjn.2017.199 pmid:28683843
    CrossRefPubMed
  18. 18.↵
    1. Valverde S,
    2. Oliver A,
    3. Llado X
    . A white matter lesion-filling approach to improve brain tissue volume measurements. Neuroimage Clin 2014;6:86–92 doi:10.1016/j.nicl.2014.08.016 pmid:25379419
    CrossRefPubMed
  19. 19.↵
    1. Rubinov M,
    2. Sporns O
    . Complex network measures of brain connectivity: uses and interpretations. Neuroimage 2010;52:1059–69 doi:10.1016/j.neuroimage.2009.10.003 pmid:19819337
    CrossRefPubMedWeb of Science
  20. 20.↵
    1. Humphries MD,
    2. Gurney K
    . Network ‘small-world-ness’: a quantitative method for determining canonical network equivalence. PLoS One 2008;3:e0002051 doi:10.1371/journal.pone.0002051 pmid:18446219
    CrossRefPubMed
  21. 21.↵
    1. Staffen W,
    2. Mair A,
    3. Zauner H, et al
    . Cognitive function and fMRI in patients with multiple sclerosis: evidence for compensatory cortical activation during an attention task. Brain 2002;125:1275–82 doi:10.1093/brain/awf125 pmid:12023316
    CrossRefPubMedWeb of Science
  22. 22.↵
    1. Hogan AM,
    2. Vargha-Khadem F,
    3. Saunders DE, et al
    . Impact of frontal white matter lesions on performance monitoring: ERP evidence for cortical disconnection. Brain 2006;129:2177–88 doi:10.1093/brain/awl160 pmid:16815874
    CrossRefPubMedWeb of Science
  23. 23.↵
    1. Dicks E,
    2. Tijms BM,
    3. Ten Kate M, et al
    . Gray matter network measures are associated with cognitive decline in mild cognitive impairment. Neurobiol Aging 2018;61:198–206 doi:10.1016/j.neurobiolaging.2017.09.029 pmid:29111486
    CrossRefPubMed
  24. 24.↵
    1. Tijms BM,
    2. Moller C,
    3. Vrenken H, et al
    . Single-subject grey matter graphs in Alzheimer’s disease. PLoS One 2013;8:e58921 doi:10.1371/journal.pone.0058921 pmid:23536835
    CrossRefPubMed
  25. 25.↵
    1. Prins ND,
    2. van Dijk EJ,
    3. den Heijer T, et al
    . Cerebral small-vessel disease and decline in information processing speed, executive function and memory. Brain 2005;128:2034–41 doi:10.1093/brain/awh553 pmid:15947059
    CrossRefPubMedWeb of Science
  26. 26.↵
    1. Ylikoski R,
    2. Ylikoski A,
    3. Erkinjuntti T, et al
    . White matter changes in healthy elderly persons correlate with attention and speed of mental processing. Arch Neurol 1993;50:818–24 doi:10.1001/archneur.1993.00540080029009 pmid:8352667
    CrossRefPubMedWeb of Science
  27. 27.↵
    1. He Y,
    2. Dagher A,
    3. Chen Z, et al
    . Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. Brain 2009;132:3366–79 doi:10.1093/brain/awp089 pmid:19439423
    CrossRefPubMedWeb of Science
  28. 28.↵
    1. Gamboa OL,
    2. Tagliazucchi E,
    3. von Wegner F, et al
    . Working memory performance of early patients with MS correlates inversely with modularity increases in resting state functional connectivity networks. Neuroimage 2014;94:385–95 doi:10.1016/j.neuroimage.2013.12.008 pmid:24361662
    CrossRefPubMedWeb of Science
  29. 29.↵
    1. Louapre C,
    2. Perlbarg V,
    3. Garcia-Lorenzo D, et al
    . Brain networks disconnection in early multiple sclerosis cognitive deficits: an anatomofunctional study. Hum Brain Mapp 2014;35:4706–17 doi:10.1002/hbm.22505 pmid:24687771
    CrossRefPubMed
  30. 30.↵
    1. Lo CY,
    2. Wang PN,
    3. Chou KH, et al
    . Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer’s disease. J Neurosci 2010;30:16876–85 doi:10.1523/JNEUROSCI.4136-10.2010 pmid:21159959
    Abstract/FREE Full Text
  31. 31.↵
    1. Tijms BM,
    2. Wink AM,
    3. de Haan W, et al
    . Alzheimer’s disease: connecting findings from graph theoretical studies of brain networks. Neurobiol Aging 2013;34:2023–36 doi:10.1016/j.neurobiolaging.2013.02.020 pmid:23541878
    CrossRefPubMedWeb of Science
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R. Hawkins, A.S. Shatil, L. Lee, A. Sengupta, L. Zhang, S. Morrow, R.I. Aviv
Reduced Global Efficiency and Random Network Features in Patients with Relapsing-Remitting Multiple Sclerosis with Cognitive Impairment
American Journal of Neuroradiology Mar 2020, 41 (3) 449-455; DOI: 10.3174/ajnr.A6435

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Reduced Global Efficiency and Random Network Features in Patients with Relapsing-Remitting Multiple Sclerosis with Cognitive Impairment
R. Hawkins, A.S. Shatil, L. Lee, A. Sengupta, L. Zhang, S. Morrow, R.I. Aviv
American Journal of Neuroradiology Mar 2020, 41 (3) 449-455; DOI: 10.3174/ajnr.A6435
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