Subcortical atrophy and cognition: Sex effects in multiple sclerosis

Neurology

Volumn 79, Issue 17, 2012, Pages 1754-1761

  Schoonheim, Menno M ^a   Popescu, Veronica ^a   Lopes, Fernanda C Rueda ^b   Wiebenga, Oliver T ^a   Vrenken, Hugo ^a   Douw, Linda ^a   Polman, Chris H ^a   Geurts, Jeroen J G ^a   Barkhof, Frederik ^a  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

BETA INTERFERON; GLATIRAMER; IMMUNOSUPPRESSIVE AGENT; NATALIZUMAB;

ADULT; AMYGDALOID NUCLEUS; ARTICLE; BRAIN ATROPHY; BRAIN SIZE; COGNITION; COHORT ANALYSIS; CONTROLLED STUDY; EDUCATIONAL STATUS; FEMALE; HIPPOCAMPUS; HUMAN; IMMUNOSUPPRESSIVE TREATMENT; MAJOR CLINICAL STUDY; MALE; MEMORY; MULTIPLE SCLEROSIS; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEUS ACCUMBENS; PRIORITY JOURNAL; PUTAMEN; SEX DIFFERENCE; SUBCORTICAL GRAY MATTER ATROPHY;

EID: 84871180437     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/WNL.0b013e3182703f46     Document Type: Article

References (39)

1. Fisniku LK, Chard DT, Jackson JS, et al. Gray matter atrophy is related to long-term disability in multiple sclerosis. Ann Neurol 2008;64:247-254.
2. De Stefano N, Giorgio A, Battaglini M, et al. Assessing brain atrophy rates in a large population of untreated multiple sclerosis subtypes. Neurology 2010;74:1868-1876.
3. Barkhof F, Calabresi PA, Miller DH, Reingold SC. Imaging outcomes for neuroprotection and repair in multiple sclerosis trials. Nat Rev Neurol 2009;5:256-266.
4. Fisher E, Lee JC, Nakamura K, Rudick RA. Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann Neurol 2008;64:255-265.
5. Chard DT, Geurts JJ. Predicting the development of multiple sclerosis: Is gray matter a missing piece of the puzzle? Neurology 2011;77:210-211.
6. Calabrese M, Rinaldi F, Mattisi I, et al. The predictive value of gray matter atrophy in clinically isolated syndromes. Neurology 2011;77:257-263.
7. Grassiot B, Desgranges B, Eustache F, Defer G. Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review. J Neurol 2009;256:1397-1412.
8. Filippi M, Rocca MA, Benedict RH, et al. The contribution of MRI in assessing cognitive impairment in multiple sclerosis. Neurology 2010;75:2121-2128.
9. Deloire MS, Ruet A, Hamel D, Bonnet M, Dousset V, Brochet B. MRI predictors of cognitive outcome in early multiple sclerosis. Neurology 2011;76:1161-1167.
10. Benedict RH, Bruce JM, Dwyer MG, et al. Neocortical atrophy, third ventricular width, and cognitive dysfunction in multiple sclerosis. Arch Neurol 2006;63:1301-1306.
11. Benedict RH, Weinstock-Guttman B, Fishman I, Sharma J, Tjoa CW, Bakshi R. Prediction of neuropsychological impairment in multiple sclerosis: comparison of conventional magnetic resonance imaging measures of atrophy and lesion burden. Arch Neurol 2004;61:226-230.
12. Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet Neurol 2008;7:1139-1151.
13. Benedict RH, Zivadinov R. Risk factors for and management of cognitive dysfunction in multiple sclerosis. Nat Rev Neurol 2011;7:332-342.
14. Amato MP, Ponziani G, Siracusa G, Sorbi S. Cognitive dysfunction in early-onset multiple sclerosis: a reappraisal after 10 years. Arch Neurol 2001;58:1602-1606.
15. Rao SM, Leo GJ, Bernardin L, Unverzagt F. Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology 1991;41:685-691.
16. Babalola KO, Patenaude B, Aljabar P, et al. An evaluation of four automatic methods of segmenting the subcortical structures in the brain. Neuroimage 2009;47:1435-1447.
17. Derakhshan M, Caramanos Z, Giacomini PS, et al. Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis. Neuroimage 2010;52:1261-1267.
18. Patenaude B, Smith SM, Kennedy DN, Jenkinson M. A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage 2011;56:907-922.
19. Batista S, Zivadinov R, Hoogs M, et al. Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis. J Neurol 2012;259:139-146.
20. Savettieri G, Messina D, Andreoli V, et al. Gender-related effect of clinical and genetic variables on the cognitive impairment in multiple sclerosis. J Neurol 2004;251:1208-1214.
21. Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: results of an international survey. Neurology 1996;46:907-911.
22. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology 1983;33:1444-1452.
23. Smith SM, Zhang YY, Jenkinson M, et al. Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 2002;17:479-489.
24. Strober L, Englert J, Munschauer F, Weinstock-Guttman B, Rao S, Benedict RH. Sensitivity of conventional memory tests in multiple sclerosis: comparing the Rao Brief Repeatable Neuropsychological Battery and the Minimal Assessment of Cognitive Function in MS. Mult Scler 2009;15:1077-1084.
25. Antulov R, Weinstock-Guttman B, Cox JL, et al. Genderrelated differences in MS: a study of conventional and nonconventional MRI measures. Mult Scler 2009;15: 345-354.
26. Houtchens MK, Benedict RH, Killiany R, et al. Thalamic atrophy and cognition in multiple sclerosis. Neurology 2007;69:1213-1223.
27. Rocca MA, Riccitelli G, Rodegher M, et al. Functional MR imaging correlates of neuropsychological impairment in primary-progressive multiple sclerosis. AJNR Am J Neuroradiol 2010;31:1240-1246.
28. Hulst HE, Schoonheim MM, Roosendaal SD, et al. Functional adaptive changes within the hippocampal memory system of patients with multiple sclerosis. Hum Brain Mapp Epub 2011 Sep 6.
29. Vellinga MM, Geurts JJ, Rostrup E, et al. Clinical correlations of brain lesion distribution in multiple sclerosis. J Magn Reson Imaging 2009;29:768-773.
30. Koch M, Kingwell E, Rieckmann P, Tremlett H. The natural history of secondary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2010;81:1039-1043.
31. Fazekas F, Enzinger C, Wallner-Blazek M, Ropele S, Pluta-Fuerst A, Fuchs S. Gender differences in MRI studies on multiple sclerosis. J Neurol Sci 2009;286:28-30.
32. Cosgrove KP, Mazure CM, Staley JK. Evolving knowledge of sex differences in brain structure, function, and chemistry. Biol Psychiatry 2007;62:847-855.
33. Gong G, Rosa-Neto P, Carbonell F, Chen ZJ, He Y, Evans AC. Age-and gender-related differences in the cortical anatomical network. J Neurosci 2009;29:15684-15693.
34. Gong G, He Y, Evans AC. Brain connectivity: gender makes a difference. Neuroscientist 2011;17:575-591.
35. Douw L, Schoonheim MM, Landi D, et al. Cognition is related to resting-state small-world network topology: an magnetoencephalographic study. Neuroscience 2011;175: 169-177.
36. Menzler K, Belke M, Wehrmann E, et al. Men and women are different: diffusion tensor imaging reveals sexual dimorphism in the microstructure of the thalamus, corpus callosum and cingulum. Neuroimage 2011;54:2557-2562.
37. Gosselin D, Rivest S. Estrogen receptor transrepresses brain inflammation. Cell 2011;145:495-497.
38. Spence RD, Hamby ME, Umeda E, et al. Neuroprotection mediated through estrogen receptor-{alpha} in astrocytes. Proc Natl Acad Sci USA 2011;108:8867-8872.
39. Tiwari-Woodruff S, Morales LB, Lee R, Voskuhl RR. Differential neuroprotective and antiinflammatory effects of estrogen receptor (ER)alpha and ERbeta ligand treatment. Proc Natl Acad Sci USA 2007;104:14813-14818.