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Background: Although there is evidence that shows worse cognitive functioning in male patients with multiple sclerosis (MS), the role of brain pathology in this context is under-investigated.

Objective: To investigate sex differences in cognitive performance of MS patients, in the context of brain pathology and disease burden.

Methods: Brain MRI, neurological examination, neuropsychological assessment (Brief International Cognitive Assessment in MS-BICAMS, and Paced Auditory Verbal Learning Test-PASAT), and patient-reported outcome questionnaires were performed/administered in 1052 MS patients.

Results: Females had higher raw scores in the Symbol Digit Modalities Test (SDMT) (57.0 vs. 54.0; p < 0.001) and Categorical Verbal Learning Test (CVLT) (63.0 vs. 57.0; p < 0.001), but paradoxically, females evaluated their cognitive performance by MS Neuropsychological Questionnaire as being worse (16.6 vs 14.5, p = 0.004). Females had a trend for a weaker negative correlation between T2 lesion volume and SDMT ([Formula: see text] = - 0.37 in females vs. - 0.46 in men; interaction p = 0.038). On the other hand, women had a trend for a stronger correlation between Brain Parenchymal Fraction (BPF) and a visual memory test (Spearman's [Formula: see text] = 0.31 vs. 0.21; interaction p = 0.016). All these trends were not significant after correction for false discovery rate.

Conclusions: Although, females consider their cognition as worse, males had at a group level slightly worse verbal memory and information processing speed. However, the sex differences in cognitive performance were smaller than the variability of scores within the same sex group. Brain MRI measures did not explain the sex differences in cognitive performance among MS patients.

Titel:	Brain MRI disease burden and sex differences in cognitive performance of patients with multiple sclerosis.
Autor/in / Beteiligte Person:	Motyl, J ; Friedova, L ; Ganapathy Subramanian, R ; Vaneckova, M ; Fuchs, TA ; Krasensky, J ; Blahova Dusankova, J ; Kubala Havrdova, E ; Horakova, D ; Uher, T
Link:	Zum Volltext
Zeitschrift:	Acta neurologica Belgica, Jg. 124 (2024-02-01), Heft 1, S. 109-118
Veröffentlichung:	2012- : Milan : Springer ; <i>Original Publication</i>: 1970-2011: Bruxelles : Acta Medica Belgica,, 2024
Medientyp:	academicJournal
ISSN:	2240-2993 (electronic)
DOI:	10.1007/s13760-023-02350-7
Schlagwort:	Humans Male Female Sex Characteristics Cognition Magnetic Resonance Imaging Neuropsychological Tests Brain diagnostic imaging Multiple Sclerosis complications Multiple Sclerosis diagnostic imaging Cognition Disorders diagnosis Cognitive Dysfunction
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Acta Neurol Belg] 2024 Feb; Vol. 124 (1), pp. 109-118. <i>Date of Electronic Publication: </i>2023 Aug 08. MeSH Terms: Multiple Sclerosis* / complications ; Multiple Sclerosis* / diagnostic imaging ; Cognition Disorders* / diagnosis ; Cognitive Dysfunction* ; Humans ; Male ; Female ; Sex Characteristics ; Cognition ; Magnetic Resonance Imaging ; Neuropsychological Tests ; Brain / diagnostic imaging References: Benedict RHB, Amato MP, DeLuca J, Geurts JJG (2020) Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues. The Lancet Neurology 19(10):860–871. https://doi.org/10.1016/s1474-4422(20)30277-5. (PMID: 10.1016/s1474-4422(20)30277-53294954610011205) ; Rao SM, Leo GJ, Bernardin L, Unverzagt F (1991) Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology 41 (5):685–691. doi: https://doi.org/10.1212/wnl.41.5.685. ; Rao SM (1990) A manual for the brief repeatable battery of neuropsychological tests in multiple sclerosis. National Multiple Sclerosis Society, New York. ; Benedict RHB, Cookfair D, Gavett R, Gunther M, Munschauer F, Garg N, Weinstock-Guttman B (2006) Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). J Int Neuropsycholog Soc. https://doi.org/10.1017/s1355617706060723. (PMID: 10.1017/s1355617706060723) ; Benedict RH, Amato MP, Boringa J, Brochet B, Foley F, Fredrikson S, Hamalainen P, Hartung H, Krupp L, Penner I, Reder AT, Langdon D (2012) Brief International Cognitive Assessment for MS (BICAMS): international standards for validation. BMC Neurol 12:55. https://doi.org/10.1186/1471-2377-12-55. (PMID: 10.1186/1471-2377-12-55227996203607849) ; Langdon DW, Amato MP, Boringa J, Brochet B, Foley F, Fredrikson S, Hamalainen P, Hartung HP, Krupp L, Penner IK, Reder AT, Benedict RH (2012) Recommendations for a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Mult Scler 18(6):891–898. https://doi.org/10.1177/1352458511431076. (PMID: 10.1177/1352458511431076221905733546642) ; Benedict RH, Zivadinov R (2011) Risk factors for and management of cognitive dysfunction in multiple sclerosis. Nat Rev Neurol 7(6):332–342. https://doi.org/10.1038/nrneurol.2011.61. (PMID: 10.1038/nrneurol.2011.6121556031) ; Sumowski JF, Benedict R, Enzinger C, Filippi M, Geurts JJ, Hamalainen P, Hulst H, Inglese M, Leavitt VM, Rocca MA, Rosti-Otajarvi EM, Rao S (2018) Cognition in multiple sclerosis: state of the field and priorities for the future. Neurology 90(6):278–288. https://doi.org/10.1212/WNL.0000000000004977. (PMID: 10.1212/WNL.0000000000004977293434705818015) ; Jorm A, Anstey K, Christensen H, Rodgers B (2004) Gender differences in cognitive abilities: the mediating role of health state and health habits. Intelligence 32:7–23. https://doi.org/10.1016/j.intell.2003.08.001. (PMID: 10.1016/j.intell.2003.08.001) ; Roivainen E (2011) Gender differences in processing speed: a review of recent research. Learn Individ Differ 21:145–149. https://doi.org/10.1016/j.lindif.2010.11.021. (PMID: 10.1016/j.lindif.2010.11.021) ; Lezak MD, Howieson DB, Bigler ED, Tranel D (2012) Neuropsychological assessment, 5th edn. Oxford University Press, New York. ; Strober LB, Bruce JM, Arnett PA, Alschuler KN, Lebkuecher A, Di Benedetto M, Cozart J, Thelen J, Guty E, Roman C (2020) A new look at an old test: Normative data of the symbol digit modalities test –Oral version. Multiple Sclerosis and Related Disorders 43:102154. https://doi.org/10.1016/j.msard.2020.102154. (PMID: 10.1016/j.msard.2020.10215432450507) ; Goretti B, Niccolai C, Hakiki B, Sturchio A, Falautano M, Minacapelli E, Martinelli V, Incerti C, Nocentini U, Murgia M, Fenu G, Cocco E, Marrosu MG, Garofalo E, Ambra FI, Maddestra M, Consalvo M, Viterbo RG, Trojano M, Losignore NA, Zimatore GB, Pietrolongo E, Lugaresi A, Langdon D, Portaccio E, Amato MP (2014) The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS): normative values with gender, age and education corrections in the Italian population. BMC Neurol 14:171. https://doi.org/10.1186/s12883-014-0171-6. (PMID: 10.1186/s12883-014-0171-6252043504172942) ; Voskuhl RR, Patel K, Paul F, Gold SM, Scheel M, Kuchling J, Cooper G, Asseyer S, Chien C, Brandt AU, Meyer CE, Mackenzie-Graham A (2020) Sex differences in brain atrophy in multiple sclerosis. Biol Sex Differ. https://doi.org/10.1186/s13293-020-00326-3. (PMID: 10.1186/s13293-020-00326-3328592587456053) ; Voskuhl RR (2020) The effect of sex on multiple sclerosis risk and disease progression. Mult Scler J 26(5):554–560. https://doi.org/10.1177/1352458519892491. (PMID: 10.1177/1352458519892491) ; Gilli F, DiSano KD, Pachner AR (2020) SeXX matters in multiple sclerosis. Front Neurol. https://doi.org/10.3389/fneur.2020.00616. (PMID: 10.3389/fneur.2020.00616327196517347971) ; Koch M, Kingwell E, Rieckmann P, Tremlett H (2010) The natural history of secondary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 81(9):1039–1043. https://doi.org/10.1136/jnnp.2010.208173. (PMID: 10.1136/jnnp.2010.20817320639385) ; Savettieri G, Messina D, Andreoli V, Bonavita S, Caltagirone C, Cittadella R, Farina D, Fazio MC, Girlanda P, Le Pira F, Liguori M, Lugaresi A, Nocentini U, Reggio A, Salemi G, Tedeschi G, Trojano M, Valentino P, Quattrone A (2004) Gender-related effect of clinical and genetic variables on the cognitive impairment in multiple sclerosis. J Neurol 251(10):1208–1214. https://doi.org/10.1007/s00415-004-0508-y. (PMID: 10.1007/s00415-004-0508-y15503099) ; Amato MP, Portaccio E, Goretti B, Zipoli V, Ricchiuti L, De Caro MF, Patti F, Vecchio R, Sorbi S, Trojano M (2006) The Rao’s Brief Repeatable Battery and Stroop Test: normative values with age, education and gender corrections in an Italian population. Mult Scler 12(6):787–793. https://doi.org/10.1177/1352458506070933. (PMID: 10.1177/135245850607093317263008) ; Beatty WW, Aupperle RL (2002) Sex differences in cognitive impairment in multiple sclerosis. Clin Neuropsychol 16(4):472–480. https://doi.org/10.1076/clin.16.4.472.13904. (PMID: 10.1076/clin.16.4.472.1390412822056) ; Schoonheim MM, Popescu V, Rueda Lopes FC, Wiebenga OT, Vrenken H, Douw L, Polman CH, Geurts JJG, Barkhof F (2012) Subcortical atrophy and cognition: sex effects in multiple sclerosis. Neurology 79(17):1754–1761. https://doi.org/10.1212/wnl.0b013e3182703f46. (PMID: 10.1212/wnl.0b013e3182703f4623019265) ; Schoonheim MM, Vigeveno RM, Lopes FCR, Pouwels PJW, Polman CH, Barkhof F, Geurts JJG (2014) Sex-specific extent and severity of white matter damage in multiple sclerosis: implications for cognitive decline. Hum Brain Mapp 35(5):2348–2358. https://doi.org/10.1002/hbm.22332. (PMID: 10.1002/hbm.2233223982918) ; Uher T, Krasensky J, Vaneckova M, Sobisek L, Seidl Z, Havrdova E, Bergsland N, Dwyer MG, Horakova D, Zivadinov R (2017) A novel semiautomated pipeline to measure brain atrophy and lesion burden in multiple sclerosis: a long-term comparative study. J Neuroimaging 27(6):620–629. https://doi.org/10.1111/jon.12445. (PMID: 10.1111/jon.1244528464417) ; Uher T, Krasensky J, Sobisek L, Blahova Dusankova J, Seidl Z, Kubala Havrdova E, Sormani MP, Horakova D, Kalincik T, Vaneckova M (2018) Cognitive clinico-radiological paradox in early stages of multiple sclerosis. Ann Clin Transl Neurol 5(1):81–91. https://doi.org/10.1002/acn3.512. (PMID: 10.1002/acn3.51229376094) ; Uher T, Vaneckova M, Sormani MP, Krasensky J, Sobisek L, Dusankova JB, Seidl Z, Havrdova E, Kalincik T, Benedict RH, Horakova D (2017) Identification of multiple sclerosis patients at highest risk of cognitive impairment using an integrated brain magnetic resonance imaging assessment approach. Eur J Neurol 24(2):292–301. https://doi.org/10.1111/ene.13200. (PMID: 10.1111/ene.1320027873386) ; Dusankova JB, Kalincik T, Havrdova E, Benedict RH (2012) Cross cultural validation of the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) and the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Clin Neuropsychol 26(7):1186–1200. https://doi.org/10.1080/13854046.2012.725101. (PMID: 10.1080/13854046.2012.72510123034066) ; Smith A (1982) Symbol Digit Modalities Test (SDMT): Manual. Western Psychological Services, Los Angeles. ; Bezdíček O, Preiss M (2009) Kalifornský test verbálního učení – druhé vydání: Psychometrická analýza českého převodu. Československá psychologie LIII 6:573–586. ; Benedict R (1997) Brief visuospatial memory test—revised: professional manual. Psychological Assessment Resources Inc, Odessa. ; Beck AT, Steer RA, Carbin MG (1988) Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation. Clin Psychol Rev 8(1):77–100. https://doi.org/10.1016/0272-7358(88)90050-5. (PMID: 10.1016/0272-7358(88)90050-5) ; Benedict RH, Munschauer F, Linn R, Miller C, Murphy E, Foley F, Jacobs L (2003) Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire. Mult Scler J 9(1):95–101. https://doi.org/10.1191/1352458503ms861oa. (PMID: 10.1191/1352458503ms861oa) ; R Core Team (2022) R: A language and environment for statistical computing. 4.2.2. edn. R Foundation for Statistical Computing, Vienna, Austria. ; IBM Corp. (2013) IBM SPSS Statistics for Windows. 22.0 edn. Armonk, NY. ; Barro C, Benkert P, Disanto G, Tsagkas C, Amann M, Naegelin Y, Leppert D, Gobbi C, Granziera C, Yaldizli O, Michalak Z, Wuerfel J, Kappos L, Parmar K, Kuhle J (2018) Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis. Brain 141(8):2382–2391. https://doi.org/10.1093/brain/awy154. (PMID: 10.1093/brain/awy15429860296) ; Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum Associates, New Jersey. ; Strober LB, Bruce JM, Arnett PA, Alschuler KN, Lebkuecher A, Di Benedetto M, Cozart J, Thelen J, Guty E, Roman C (2020) A new look at an old test: normative data of the symbol digit modalities test-oral version. Mult Scler Relat Disord 43:102154. https://doi.org/10.1016/j.msard.2020.102154. (PMID: 10.1016/j.msard.2020.10215432450507) ; D’Hooghe MB, De Cock A, Van Remoortel A, Benedict RHB, Eelen P, Peeters E, D’Haeseleer M, De Keyser J, Nagels G (2020) Correlations of health status indicators with perceived neuropsychological impairment and cognitive processing speed in multiple sclerosis. Multiple Scler Related Disord 39:101904. https://doi.org/10.1016/j.msard.2019.101904. (PMID: 10.1016/j.msard.2019.101904) ; O’Brien A, Gaudino-Goering E, Shawaryn M, Komaroff E, Moore NB, DeLuca J (2007) Relationship of the Multiple Sclerosis Neuropsychological Questionnaire (MSNQ) to functional, emotional, and neuropsychological outcomes. Arch Clin Neuropsychol 22(8):933–948. https://doi.org/10.1016/j.acn.2007.07.002. (PMID: 10.1016/j.acn.2007.07.00217851031) ; Kinsinger SW, Lattie E, Mohr DC (2010) Relationship between depression, fatigue, subjective cognitive impairment, and objective neuropsychological functioning in patients with multiple sclerosis. Neuropsychology 24(5):573–580. https://doi.org/10.1037/a0019222. (PMID: 10.1037/a0019222208042452933087) Grant Information: NV18-08-00062 Ministerstvo Zdravotnictví Ceské Republiky; RVO VFN 64165 Ministerstvo Zdravotnictví Ceské Republiky; project Cooperatio LF1, research area Neuroscience Ministerstvo Školství, Mládeže a Tělovýchovy; Programme EXCELES, ID project No LX22NPO5107 European Commission; 1154218 Grantová Agentura, Univerzita Karlova Contributed Indexing: Keywords: Brain atrophy; Cognition; Lesion volume; MRI; Multiple sclerosis; Sex Entry Date(s): Date Created: 20230808 Date Completed: 20240219 Latest Revision: 20240219 Update Code: 20240219

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Brain MRI disease burden and sex differences in cognitive performance of patients with multiple sclerosis.