Sex Differences in Resting-State Functional Connectivity in Multiple Sclerosis

REFERENCES

1. 1.↵
   1. Debouverie M,
   2. Pittion-Vouyovitch S,
   3. Louis S,
   4. et al

   . Increasing incidence of multiple sclerosis among women in Lorraine, Eastern France. Mult Scler 2007;13:962–67

   Abstract/FREE Full Text
2. 2.↵
   1. Celius E,
   2. Vandvik B

   . Multiple sclerosis in Oslo, Norway: prevalence on 1 January 1995 and incidence over a 25-year period. Eur J Neurol 2001;8:463–69

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Orton S,
   2. Herrera B,
   3. Yee I,
   4. et al

   . Sex ratio of multiple sclerosis in Canada: a longitudinal study. Lancet Neurol 2006;5:932–36

   CrossRefPubMedWeb of Science
4. 4.↵
   1. Bove R,
   2. Healy B,
   3. Augustine A,
   4. et al

   . Effect of gender on late-onset multiple sclerosis. Mult Scler 2012;18:1472–79

   Abstract/FREE Full Text
5. 5.↵
   1. Khaleeli Z,
   2. Ciccarelli O,
   3. Manfredonia F,
   4. et al

   . Predicting progression in primary progressive multiple sclerosis: a 10-year multicenter study. Ann Neurol 2008;63:790–93

   CrossRefPubMedWeb of Science
6. 6.↵
   1. Runmarker B,
   2. Andersen O

   . Prognostic factors in a multiple sclerosis incidence cohort with twenty-five years of follow-up. Brain 1993;116:117–34

   Abstract/FREE Full Text
7. 7.↵
   1. Koutsis G,
   2. Evangelopoulos M,
   3. Andreadou E,
   4. et al

   . The onset of multiple sclerosis in Greece: a single-center study of 1,034 consecutive patients. Eur Neurol 2010;63:350–56

   CrossRefPubMed
8. 8.↵
   1. Menon R,
   2. Di Dario M,
   3. Cordiglieri C,
   4. et al

   . Gender-based blood transcriptomes and interactomes in multiple sclerosis: involvement of SP1 dependent gene transcription. J Autoimmun 2012;38:J144–55

   CrossRefPubMedWeb of Science
9. 9.↵
   1. Zoccolella S,
   2. Tortorella C,
   3. Iaffaldano P,
   4. et al

   . Low serum urate levels are associated to female gender in multiple sclerosis patients. PLoS One 2012;7:e40608

   CrossRefPubMed
10. 10.↵
    1. Greer JM,
    2. Csurhes PA,
    3. Pender MP,
    4. et al

    . Effect of gender on T-cell proliferative responses to myelin proteolipid protein antigens in patients with multiple sclerosis and controls. J Autoimmun 2004;22:345–52

    CrossRefPubMedWeb of Science
11. 11.↵
    1. D'hooghe MB,
    2. Haentjens P,
    3. Nagels G,
    4. et al

    . Menarche, oral contraceptives, pregnancy and progression of disability in relapsing onset and progressive onset multiple sclerosis. J Neurol 2012;259:855–61

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Kipp M,
    2. Amor S,
    3. Krauth R,
    4. et al

    . Multiple sclerosis: neuroprotective alliance of estrogen–progesterone and gender. Front Neuroendocrinol 2012;33:1–16

    CrossRefPubMed
13. 13.↵
    1. Tomassinia V,
    2. Pozzilli C

    . Sex hormones, brain damage and clinical course of multiple sclerosis. J Neurol Sci 2009;286:35–39

    CrossRefPubMed
14. 14.↵
    1. Sicotte NL,
    2. Liva SM,
    3. Klutch R,
    4. et al

    . Treatment of multiple sclerosis with the pregnancy hormone estriol. Ann Neurol 2002;52:421–28

    CrossRefPubMedWeb of Science
15. 15.↵
    1. Ziehn M,
    2. Avedisian A,
    3. Dervin S,
    4. et al

    . Estriol preserves synaptic transmission in the hippocampus during autoimmune demyelinating disease. Lab Invest 2012;92:1234–45

    CrossRefPubMedWeb of Science
16. 16.↵
    1. Fazekas F,
    2. Enzinger C,
    3. Wallner-Blazek M,
    4. et al

    . Gender differences in MRI studies on multiple sclerosis. J Neurol Sci 2009;286:28–30

    CrossRefPubMed
17. 17.↵
    1. Antulov R,
    2. Weinstock-Guttman B,
    3. Cox J,
    4. et al

    . Gender-related differences in MS: a study of conventional and nonconventional MRI measures. Mult Scler 2009;15:345–54

    Abstract/FREE Full Text
18. 18.↵
    1. Li D,
    2. Zhao G,
    3. Paty D,
    4. et al

    . Randomized controlled trial of interferon-beta-1a in secondary progressive MS: MRI results. Neurology 2001;56:1505–13

    CrossRef
19. 19.↵
    1. Riccitelli G,
    2. Rocca M,
    3. Pagani E,
    4. et al

    . Mapping regional grey and white matter atrophy in relapsing-remitting multiple sclerosis. Mult Scler 2012;18:1027–37

    Abstract/FREE Full Text
20. 20.↵
    1. Massella A,
    2. D'Intino G,
    3. Fernández M,
    4. et al

    . Gender effect on neurodegeneration and myelin markers in an animal model for multiple sclerosis. BMC Neurosci 2012;13:1–14

    CrossRefPubMed
21. 21.↵
    1. Biswal B,
    2. Yetkin FZ,
    3. Haughton VM,
    4. et al

    . Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 1995;34:537–41

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Faivre A,
    2. Rico A,
    3. Zaaraoui W,
    4. et al

    . Assessing brain connectivity at rest is clinically relevant in early multiple sclerosis. Mult Scler 2012;18:1251–58

    Abstract/FREE Full Text
23. 23.↵
    1. Bonavita S,
    2. Gallo A,
    3. Sacco R,
    4. et al

    . Distributed changes in default-mode resting-state connectivity in multiple sclerosis. Mult Scler 2011;17:411–22

    Abstract/FREE Full Text
24. 24.↵
    1. Parisi L,
    2. Rocca M,
    3. Valsasina P,
    4. et al

    . Cognitive rehabilitation correlates with the functional connectivity of the anterior cingulate cortex in patients with multiple sclerosis. Brain Imaging Behav 2012 Apr 19 [Epub ahead of print]
25. 25.↵
    1. Schoonheim M,
    2. Geurts J,
    3. Landi D,
    4. et al

    . Functional connectivity changes in multiple sclerosis patients: a graph analytical study of MEG resting state data. Hum Brain Mapp 2013;34:52–61

    CrossRefPubMedWeb of Science
26. 26.↵
    1. Rocca M,
    2. Valsasina P,
    3. Absinta M,
    4. et al

    . Default-mode network dysfunction and cognitive impairment in progressive MS. Neurology 2010;74:1252–59

    CrossRef
27. 27.↵
    1. Hawellek D,
    2. Hipp J,
    3. Lewis C,
    4. et al

    . Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis. Proc Natl Acad Sci U S A 2011;108:19066–71

    Abstract/FREE Full Text
28. 28.↵
    1. Segall J,
    2. Allen E,
    3. Jung R,
    4. et al

    . Correspondence between structure and function in the human brain at rest. Front Neuroinform 2012;6:1–17

    PubMed
29. 29.↵
    1. Allen E,
    2. Erhardt E,
    3. Damaraju E,
    4. et al

    . A baseline for the multivariate comparison of resting-state networks. Front Syst Neurosci 2011;5:1–23

    PubMed
30. 30.↵
    1. Filippi M,
    2. Valsasina P,
    3. Misci P,
    4. et al

    . The organization of intrinsic brain activity differs between genders: a resting-state fMRI study in a large cohort of young healthy subjects. Hum Brain Mapp 2013;34:1330–43

    CrossRefPubMedWeb of Science
31. 31.↵
    1. Tian L,
    2. Wang J,
    3. Yan C,
    4. et al

    . Hemisphere- and gender-related differences in small-world brain networks: a resting-state functional MRI study. Neuroimage 2011;54:191–202

    CrossRefPubMedWeb of Science
32. 32.↵
    1. Biswal B,
    2. Mennes M,
    3. Zuo X,
    4. et al

    . Toward discovery science of human brain function. Proc Natl Acad Sci U S A 2010;107:4734–39

    Abstract/FREE Full Text
33. 33.↵
    1. Liu H,
    2. Stufflebeam S,
    3. Sepulcre J,
    4. et al

    . Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors. Proc Natl Acad Sci U S A 2009;106:20499–503

    Abstract/FREE Full Text
34. 34.↵
    1. Schoonheim M,
    2. Hulst H,
    3. Landi D,
    4. et al

    . Gender-related differences in functional connectivity in multiple sclerosis. Mult Scler 2012;18:164–73

    Abstract/FREE Full Text
35. 35.↵
    1. Raichle M,
    2. MacLeod A,
    3. Snyder A,
    4. et al

    . A default mode of brain function. Proc Natl Acad Sci U S A 2001;98:676–82

    Abstract/FREE Full Text
36. 36.↵
    1. Anticevic A,
    2. Cole M,
    3. Murray J,
    4. et al

    . The role of default network deactivation in cognition and disease. Trends Cogn Sci 2012;16:584–92

    CrossRefPubMedWeb of Science
37. 37.↵
    1. Rocca M,
    2. Valsasina P,
    3. Martinelli V,
    4. et al

    . Large-scale neuronal network dysfunction in relapsing-remitting multiple sclerosis. Neurology 2012;79:1449–57

    CrossRef
38. 38.↵
    1. McDonald W,
    2. Compston A,
    3. Edan G,
    4. et al

    . Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the Diagnosis of Multiple Sclerosis. Ann Neurol 2001;50:121–27

    CrossRefPubMedWeb of Science
39. 39.↵
    1. Glover G,
    2. Li T,
    3. Ress D

    . Image-Based Method for Retrospective Correction of Physiological Motion Effects in fMRI: RETROICOR. Magn Reson Med 2000;44:162–67

    CrossRefPubMedWeb of Science
40. 40.↵
    1. Cox R

    . AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996;29:162–73

    CrossRefPubMedWeb of Science
41. 41.↵
    1. Smith SM,
    2. Zhang Y,
    3. Jenkinson M,
    4. et al

    . Accurate, robust and automated longitudinal and cross-sectional brain change analysis. NeuroImage 2002;17:479–89

    CrossRefPubMedWeb of Science
42. 42.↵
    1. Smith SM,
    2. Jenkinson M,
    3. Woolrich MW,
    4. et al

    . Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 2004;23:208–19

    CrossRef
43. 43.↵
    1. Jenkinson M,
    2. Smith SM

    . A global optimisation method for robust affine registration of brain images. Med Image Anal 2001;5:143–56

    CrossRefPubMedWeb of Science
44. 44.↵
    1. Jenkinson M,
    2. Bannister PR,
    3. Brady JM,
    4. et al

    . Improved optimisation for the robust and accurate linear registration and motion correction of brain images. NeuroImage 2002;17:825–41

    CrossRefPubMedWeb of Science
45. 45.↵
    1. Zhang Y,
    2. Brady M,
    3. Smith M

    . Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm. IEEE Trans Med Imaging 2001;20:45–57

    CrossRefPubMedWeb of Science
46. 46.↵
    MATLAB. Version 7.4.0 (R2007a). Natick, Massachusetts: The MathWorks Inc; 2007
47. 47.↵
    1. Cox R,
    2. Saad Z

    . Surfing the connectome: InstaCorr in AFNI and SUMA. Second Biennial International Conference on Resting-State Functional Brain Connectivity. Milwaukee, Wisconsin; September 16–19, 2010
48. 48.↵
    1. Saad Z,
    2. Glen D,
    3. Chen G,
    4. et al

    . A new method for improving functional-to-structural alignment using local Pearson correlation. NeuroImage 2009;44:839–48

    CrossRefPubMedWeb of Science
49. 49.↵
    1. Beall E,
    2. Lowe M

    . Isolating physiologic noise sources with independently determined spatial measures. NeuroImage 2007;37:1286–300

    CrossRefPubMed
50. 50.↵
    1. Lowe M,
    2. Mock B,
    3. Sorenson J

    . Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. NeuroImage 1998;7:119–32

    CrossRefPubMedWeb of Science
51. 51.↵
    1. Kurtzke J

    . Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983;33:1444–52

    CrossRefPubMed
52. 52.↵
    1. Delis D,
    2. Kramer J,
    3. Kaplan E,
    4. et al

    . California Verbal Learning Test–Second Edition. San Antonio, Texas: Psychological Corporation; 2000
53. 53.↵
    1. Benedict R

    . Brief Visuospatial Memory Test–Revised Professional Manual. Odessa, Florida: Psychological Assessment Resources; 1997
54. 54.↵
    1. Smith A

    . Symbol Digit Modalities Test: Manual. Los Angeles: Western Psychological Services; 1982
55. 55.↵
    1. Tombaugh T,
    2. Kozak J,
    3. Rees L

    . Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Arch Clin Neuropsychol 1999;14:167–77

    Abstract/FREE Full Text
56. 56.↵
    1. Rao S

    . A Manual for the Brief, Repeatable Battery of Neuropsychological Tests in Multiple Sclerosis. Milwaukee: Medical College of Wisconsin; 1990
57. 57.↵
    1. Fischl B,
    2. Salat D,
    3. Busa E,
    4. et al

    . Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002;33:341–55

    CrossRefPubMedWeb of Science
58. 58.↵
    1. Fischl B,
    2. Salat D,
    3. van der Kouwe A,
    4. et al

    . Sequence-independent segmentation of magnetic resonance images. NeuroImage 2004;23:S69–84

    CrossRefPubMedWeb of Science
59. 59.↵
    1. Bermel R,
    2. Innus M,
    3. Tjoa C,
    4. et al

    . Selective caudate atrophy in multiple sclerosis: a 3D MRI parcellation study. NeuroReport 2003;14:335–39

    CrossRefPubMedWeb of Science
60. 60.↵
    1. Nocentini U,
    2. Bozzali M,
    3. Spanò B,
    4. et al

    . Exploration of the relationships between regional grey matter atrophy and cognition in multiple sclerosis. Brain Imaging Behav 2012 May 15 [Epub ahead of print]
61. 61.↵
    1. Morgen K,
    2. Sammer G,
    3. Courtney S,
    4. et al

    . Distinct mechanisms of altered brain activation in patients with multiple sclerosis. NeuroImage 2007;37:937–46

    CrossRefPubMedWeb of Science
62. 62.↵
    1. Tekok-Kilic A,
    2. Benedict R,
    3. Weinstock-Guttman B,
    4. et al

    . Independent contributions of cortical gray matter atrophy and ventricle enlargement for predicting neuropsychological impairment in multiple sclerosis. NeuroImage 2007;36:1294–300

    CrossRefPubMedWeb of Science
63. 63.↵
    1. Gur R,
    2. Turetsky B,
    3. Matsui M,
    4. et al

    . Sex differences in brain gray and white matter in healthy young adults: correlations with cognitive performance. J Neurosci 1999;19:4065–72

    Abstract/FREE Full Text
64. 64.↵
    1. Allen J,
    2. Damasio H,
    3. Grabowski T,
    4. et al

    . Sexual dimorphism and asymmetries in the gray-white composition of the human cerebrum. NeuroImage 2003;18:880–94

    CrossRefPubMedWeb of Science
65. 65.↵
    1. Grassiot B,
    2. Desgranges B,
    3. Eustache F,
    4. et al

    . Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review. J Neurol 2009;256:1397–412

    CrossRefPubMedWeb of Science
66. 66.↵
    1. Sanfilipo M,
    2. Benedict R,
    3. Sharma J,
    4. et al

    . The relationship between whole brain volume and disability in multiple sclerosis: a comparison of normalized gray vs white matter with misclassification correction. NeuroImage 2005;26:1068–77

    CrossRefPubMedWeb of Science