Third ventricular enlargement in early stages of multiple sclerosis is a predictor of motor and neuropsychological deficits: A cross-sectional study

BMJ Open

Volumn 3, Issue 9, 2013, Pages

  Müller, Martin ^a   Esser, Regina ^a,b   Kötter, Katharina ^a   Voss, Jan ^a   Müller, Achim ^a   Stellmes, Petra ^a  

^a Luzerner Kantonsspital   (Switzerland)

^b Spital Zollikerberg ^*  (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BECK DEPRESSION INVENTORY; BRAIN THIRD VENTRICLE; BRAIN VENTRICLE DILATATION; CLINICAL ASSESSMENT; CLINICAL EXAMINATION; COGNITIVE DEFECT; COMORBIDITY; CONTROLLED STUDY; DEPRESSION; DISEASE DURATION; DISEASE SEVERITY; DOPPLER ECHOGRAPHY; EXPANDED DISABILITY STATUS SCALE; FATIGUE; FEMALE; FOLLOW UP; HUMAN; MAJOR CLINICAL STUDY; MALE; MOTOR DYSFUNCTION; MULTIPLE SCLEROSIS; NEUROPSYCHOLOGICAL TEST;

EID: 84885355702     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2013-003582     Document Type: Article

References (27)

1. Simon JH, Jacobs LD, Campion MK, et al. A longitudinal study of brain atrophy in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG). Neurology 1999;53:139-48. (Pubitemid 29329662)
2. Rudick RA, Fisher E, Lee JC, et al. Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS. Multiple Sclerosis Collaborative Research Group. Neurology 1999;53:1698-704. (Pubitemid 29530342)
3. Fisher E, Lee JC, Nakamura K, et al. Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann Neurol 2008;64:255-65.
4. Calabrese M, Agosta F, Rinaldi F, et al. Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis. Arch Neurol 2009;66:1144-50.
5. Calabrese M, Bernardi V, Atzori M, et al. Effect of disease-modifying drugs on cortical lesions and atrophy in relapsing-remitting multiple sclerosis. Mult Scler 2012;18:418-24.
6. Roosendaal SD, Bendfeldt K, Vrenken H, et al. Grey matter volume in a large cohort of MS patients: relation to MRI parameters and disability. Mult Scler 2011;17:1098-106.
7. Batista S, Zivadinov R, Hoogs M, et al. Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis. J Neurol 2012;259:139-46.
8. Fisniku LK, Chard DT, Jackson JS, et al. Gray matter atrophy is related to long-term disability in multiple sclerosis. Ann Neurol 2008;64:247-54.
9. Bendfeldt K, Egger H, Nichols TE, et al. Effect of immunomodulatory medication on regional gray matter loss in relapsing-remitting multiple sclerosis-a longitudinal MRI study. Brain Res 2010;1325:174-82.
10. Zivadinov R, Locatelli L, Cookfair D, et al. Interferon beta-1a slows progression of brain atrophy in relapsing-remitting multiple sclerosis predominantly by reducing gray matter atrophy. Mult Scler 2007;13:490-501. (Pubitemid 46796509)
11. Vrenken H, Jenkinson M, Horsfield MA, et al. Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis. J Neurol. Published Online First: 21 December 2012. doi: 10.1007/s00415-012-6762-5
12. Berg D, Mäurer M, Warmuth-Metz M, et al. The correlation between ventricular diameter measured by transcranial sonography and clinical disability and cognitive dysfunction in patients with multiple sclerosis. Arch Neurol 2000;57:1289-92.
13. Kallmann BA, Sauer J, Schliesser M, et al. Determination of ventricular diameters in multiple sclerosis patients with transcranial sonography (TCS)-a two year follow-up study. J Neurol 2004;251:30-4. (Pubitemid 38210487)
14. Kurtzke JF. Rating neurological impairment in multiple sclerosis: an Expanded Disability Rating Scale (EDSS). Neurology 1983;33:1444-52. (Pubitemid 14237132)
15. Schminke U, Lorenz L, Kirsch M, et al. Diameter assessment of the third ventricle with transcranial sonography in patients with multiple sclerosis. J Neuroimaging 2010;20:53-7.
16. Walter U, Wagner S, Horowski S, et al. Transcranial brain sonography findings predict disease progression in multiple sclerosis. Neurology 2009;73:1010-17.
17. Müller M, Esser R, Kötter K, et al. Width of 3. Ventricle: reference values and clinical relevance in a cohort of patients with relapsing remitting multiple sclerosis. Open Neurol J 2013;7:11-16.
18. Polman CH, Reingold SC, Edan G, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the McDonald Criteria. Ann Neurol 2005;58:840-6. (Pubitemid 41746873)
19. Bever CT Jr, Grattan L, Panitch HS, et al. The brief repeatable battery of neuropsychological tests for multiple sclerosis: a preliminary serial study. Mult Scler 1995;1:165-9.
20. Hautzinger M, Keller F, Kühner C. BDI-II. Beck DepressionsInventar. Revision. Manual. Frankfurt am Main: Harcourt Test Services GmbH, 2006.
21. Penner IK, Raselli C, Stöcklin M, et al. The Fatigue Scale for Motor and Cognitive Functions (FSMC): validation of a new instrument to assess multiple sclerosis-related fatigue. Mult Scler 2009;15:1509-17.
22. Cutter GR, Baier ML, Rudick RA, et al. Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain 1999;122:871-82. (Pubitemid 29219261)
23. Fischer JS, Jak AJ, Kniker JE, et al. Multiple sclerosis functional composite (MSFC). Administration and scoring manual, revised. USA: National Multiple Sclerosis Society, 2001.
24. Wollenweber FA, Schomburg R, Probst M, et al. Width of the third ventricle assessed by transcranial sonography can monitor brain atrophy in a time- and cost-effective manner-results from a longitudinal study on 500 subjects. Psychiatry Res 2011;191:212-16.
25. Yaldizli Ö, Glassl S, Sturm D, et al. Fatigue and progression of corpus callosum atrophy in multiple sclerosis. J Neurol 2011;258:2199-205.
26. Riccitelli G, Rocca MA, Forn C, et al. Voxelwise assessment of the regional distribution of damage in the brains of patients with multiple sclerosis and fatigue. AJNR Am J Neuroradiol 2011;32:874-9.
27. Morgante F, Dattola V, Crupi D, et al. Is central fatigue in multiple sclerosis a disorder of movement preparation? J Neurol 2011;258:263-72.