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Journal Abstract Search

186 related items for PubMed ID: 32927305

  • 1. The association between MRI brain volumes and computerized cognitive scores of people with multiple sclerosis.
    Golan D, Doniger GM, Srinivasan J, Sima DM, Zarif M, Bumstead B, Buhse M, Van Hecke W, Wilken J, Gudesblatt M.
    Brain Cogn; 2020 Nov; 145():105614. PubMed ID: 32927305
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  • 4. Isolated cognitive impairment in people with multiple sclerosis: frequency, MRI patterns and its development over time.
    Bouman PM, van Dam MA, Jonkman LE, Steenwijk MD, Schoonheim MM, Geurts JJG, Hulst HE.
    J Neurol; 2024 May; 271(5):2159-2168. PubMed ID: 38286843
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  • 5. Resolving the cognitive clinico-radiological paradox - Microstructural degeneration of fronto-striatal-thalamic loops in early active multiple sclerosis.
    Johnen A, Schiffler P, Landmeyer NC, Tenberge JG, Riepl E, Wiendl H, Krämer J, Meuth SG.
    Cortex; 2019 Dec; 121():239-252. PubMed ID: 31654896
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  • 7. Brief international cognitive assessment for MS (BICAMS) and global brain volumes in early stages of MS - A longitudinal correlation study.
    Skorve E, Lundervold AJ, Torkildsen Ø, Riemer F, Grüner R, Myhr KM.
    Mult Scler Relat Disord; 2023 Jan; 69():104398. PubMed ID: 36462469
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  • 8. Exploration of the relationships between regional grey matter atrophy and cognition in multiple sclerosis.
    Nocentini U, Bozzali M, Spanò B, Cercignani M, Serra L, Basile B, Mannu R, Caltagirone C, De Luca J.
    Brain Imaging Behav; 2014 Sep; 8(3):378-86. PubMed ID: 22584774
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  • 12. Predicting cognitive decline in multiple sclerosis: a 5-year follow-up study.
    Eijlers AJC, van Geest Q, Dekker I, Steenwijk MD, Meijer KA, Hulst HE, Barkhof F, Uitdehaag BMJ, Schoonheim MM, Geurts JJG.
    Brain; 2018 Sep 01; 141(9):2605-2618. PubMed ID: 30169585
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  • 14. The association between cognition and motor performance is beyond structural damage in relapsing-remitting multiple sclerosis.
    Mistri D, Cacciaguerra L, Storelli L, Meani A, Cordani C, Rocca MA, Filippi M.
    J Neurol; 2022 Aug 01; 269(8):4213-4221. PubMed ID: 35278104
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  • 16. Diffusion-weighted imaging predicts cognitive impairment in multiple sclerosis.
    Benedict RH, Bruce J, Dwyer MG, Weinstock-Guttman B, Tjoa C, Tavazzi E, Munschauer FE, Zivadinov R.
    Mult Scler; 2007 Jul 01; 13(6):722-30. PubMed ID: 17613599
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  • 17. Predictive value of different conventional and non-conventional MRI-parameters for specific domains of cognitive function in multiple sclerosis.
    Pinter D, Khalil M, Pichler A, Langkammer C, Ropele S, Marschik PB, Fuchs S, Fazekas F, Enzinger C.
    Neuroimage Clin; 2015 Jul 01; 7():715-20. PubMed ID: 25844323
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  • 18. Cognitive impairment and its relation to imaging measures in multiple sclerosis: a study using a computerized battery.
    Pellicano C, Kane RL, Gallo A, Xiaobai L, Stern SK, Ikonomidou VN, Evangelou IE, Ohayon JM, Ehrmantraut M, Cantor FK, Bagnato F.
    J Neuroimaging; 2013 Jul 01; 23(3):445-52. PubMed ID: 23227967
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  • 19. Cognitive event-related potentials in multiple sclerosis: Correlation with MRI and neuropsychological findings.
    Kimiskidis VK, Papaliagkas V, Sotirakoglou K, Kouvatsou ZK, Kapina VK, Papadaki E, Tsimourtou V, Masoura E, Kazis DA, Papayiannopoulos S, Geroukis T, Bostanjopoulou S.
    Mult Scler Relat Disord; 2016 Nov 01; 10():192-197. PubMed ID: 27919489
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