dc.creator | Damasceno A. | |
dc.creator | Damasceno B.P. | |
dc.creator | Cendes F. | |
dc.date | 2014 | |
dc.date | 2015-06-25T17:54:52Z | |
dc.date | 2015-11-26T14:36:49Z | |
dc.date | 2015-06-25T17:54:52Z | |
dc.date | 2015-11-26T14:36:49Z | |
dc.date.accessioned | 2018-03-28T21:40:53Z | |
dc.date.available | 2018-03-28T21:40:53Z | |
dc.identifier | | |
dc.identifier | Plos One. Public Library Of Science, v. 9, n. 5, p. - , 2014. | |
dc.identifier | 19326203 | |
dc.identifier | 10.1371/journal.pone.0096193 | |
dc.identifier | http://www.scopus.com/inward/record.url?eid=2-s2.0-84900407788&partnerID=40&md5=d4582eeda6ce1e5d96a233803380ac78 | |
dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/86757 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/86757 | |
dc.identifier | 2-s2.0-84900407788 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1248906 | |
dc.description | Background: The cerebellum is an important site for cortical demyelination in multiple sclerosis, but the functional significance of this finding is not fully understood. Objective: To evaluate the clinical and cognitive impact of cerebellar grey-matter pathology in multiple sclerosis patients. Methods: Forty-two relapsing-remitting multiple sclerosis patients and 30 controls underwent clinical assessment including the Multiple Sclerosis Functional Composite, Expanded Disability Status Scale (EDSS) and cerebellar functional system (FS) score, and cognitive evaluation, including the Paced Auditory Serial Addition Test (PASAT) and the Symbol-Digit Modalities Test (SDMT). Magnetic resonance imaging was performed with a 3T scanner and variables of interest were: brain white-matter and cortical lesion load, cerebellar intracortical and leukocortical lesion volumes, and brain cortical and cerebellar white-matter and grey-matter volumes. Results: After multivariate analysis high burden of cerebellar intracortical lesions was the only predictor for the EDSS (p<0.001), cerebellar FS (p = 0.002), arm function (p = 0.049), and for leg function (p<0.001). Patients with high burden of cerebellar leukocortical lesions had lower PASAT scores (p = 0.013), while patients with greater volumes of cerebellar intracortical lesions had worse SDMT scores (p = 0.015). Conclusions: Cerebellar grey-matter pathology is widely present and contributes to clinical dysfunction in relapsing-remitting multiple sclerosis patients, independently of brain grey-matter damage. © 2014 Damasceno et al. | |
dc.description | 9 | |
dc.description | 5 | |
dc.description | | |
dc.description | | |
dc.description | Kutzelnigg, A., Faber-Rod, J.C., Bauer, J., Lucchinetti, C.F., Sorensen, P.S., Widespread demyelination in the cerebellar cortex in multiple sclerosis (2007) Brain Pathol, 17, pp. 38-44 | |
dc.description | Gilmore, C.P., Donaldson, I., Bö, L., Owens, T., Lowe, J., Regional variations in the extent and pattern of grey matter demyelination in multiple sclerosis: A comparison between the cerebral cortex, cerebellar cortex, deep grey matter nuclei and the spinal cord (2009) J Neurol Neurosurg Psychiatry, 80, pp. 182-187. , doi: 10.1136/jnnp.2008.148767 | |
dc.description | Geurts, J.J., Calabrese, M., Fisher, E., Rudick, R.A., Measurement and clinical effect of grey matter pathology in multiple sclerosis (2012) Lancet Neurol, 11, pp. 1082-1092. , doi: 10.1016/S1474-4422(12)70230-2 | |
dc.description | Tedesco, A.M., Chiricozzi, F.R., Clausi, S., Lupo, M., Molinari, M., The cerebellar cognitive profile (2011) Brain, 134, pp. 3672-3686. , doi: 10.1093/brain/awr266 | |
dc.description | Cerasa, A., Valentino, P., Chiriaco, C., Pirritano, D., Nisticò, R., MR imaging and cognitive correlates of relapsing-remitting multiple sclerosis patients with cerebellar symptoms (2013) J Neurol, 260, pp. 1358-1366. , doi: 10.1007/s00415-012-6805-y | |
dc.description | Henry, R.G., Shieh, M., Okuda, D.T., Evangelista, A., Gorno-Tempini, M.L., Regional grey matter atrophy in clinically isolated syndromes at presentation (2008) J Neurol Neurosurg Psychiatry, 79, pp. 1236-1244. , doi: 10.1136/jnnp.2007.134825 | |
dc.description | Ramasamy, D.P., Benedict, R.H., Cox, J.L., Fritz, D., Abdelrahman, N., Extent of cerebellum, subcortical and cortical atrophy in patients with MS: A case-control study (2009) J Neurol Sci, 282, pp. 47-54. , doi: 10.1016/j.jns.2008.12.034 | |
dc.description | Calabrese, M., Mattisi, I., Rinaldi, F., Favaretto, A., Atzori, M., Magnetic resonance evidence of cerebellar cortical pathology in multiple sclerosis (2010) J Neurol Neurosurg Psychiatry, 81, pp. 401-404. , doi: 10.1136/jnnp.2009.177733 | |
dc.description | Polman, C.H., Reingold, S.C., Edan, G., Filippi, M., Hartung, H.-P., Kappos, L., Lublin, F.D., Wolinsky, J.S., Diagnostic criteria for multiple sclerosis: 2005 Revisions to the "McDonald Criteria" (2005) Annals of Neurology, 58 (6), pp. 840-846. , DOI 10.1002/ana.20703 | |
dc.description | Kurtzke, J.F., Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS) (1983) Neurology, 33, pp. 1444-1452 | |
dc.description | McAuliffe, M., Lalonde, F., McGarry, D., Gandler, W., Csaky, K., Medical image processing, analysis and visualization in clinical research (2001) Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems | |
dc.description | Bethesda | |
dc.description | Geurts, J.J., Roosendaal, S.D., Calabrese, M., Ciccarelli, O., Agosta, F., Consensus recommendations for MS cortical lesions scoring using double inversion recovery MRI (2011) Neurology, 76, pp. 418-424. , doi: 10.1212/WNL.0b013e31820a0cc4 | |
dc.description | Dale, A.M., Fischl, B., Sereno, M.I., Cortical surface-based analysis: I. Segmentation and surface reconstruction (1999) NeuroImage, 9 (2), pp. 179-194. , DOI 10.1006/nimg.1998.0395 | |
dc.description | Fischl, B., Sereno, M.I., Dale, A.M., Cortical surface-based analysis: II. Inflation, flattening, and a surface-based coordinate system (1999) NeuroImage, 9 (2), pp. 195-207. , DOI 10.1006/nimg.1998.0396 | |
dc.description | Fischl, B., Dale, A.M., Measuring the thickness of the human cerebral cortex from magnetic resonance images (2000) Proc Natl Acad Sci U S A, 97, pp. 11050-11055 | |
dc.description | Anderson, V.M., Wheeler-Kingshott, C.A., Abdel-Aziz, K., Miller, D.H., Toosy, A., A comprehensive assessment of cerebellar damage in multiple sclerosis using diffusion tractography and volumetric analysis (2011) Mult Scler, 17, pp. 1079-1087. , doi: 10.1177/1352458511403528 | |
dc.description | Wattjes, M.P., Lutterbey, G.G., Gieseke, J., Traber, F., Klotz, L., Schmidt, S., Schild, H.H., Double inversion recovery brain imaging at 3T: Diagnostic value in the detection of multiple sclerosis lesions (2007) American Journal of Neuroradiology, 28 (1), pp. 54-59 | |
dc.description | Calabrese, M., Agosta, F., Rinaldi, F., Mattisi, I., Grossi, P., Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis (2009) Arch Neurol, 66, pp. 1144-1150. , doi: 10.1001/archneurol.2009.174 | |
dc.description | Sastre-Garriga, J., Alonso, J., Renom, M., Arévalo, M.J., González, I., A functional magnetic resonance proof of concept pilot trial of cognitive rehabilitation in multiple sclerosis (2011) Mult Scler, 17, pp. 457-467. , doi: 10.1177/1352458510389219 | |
dc.description | Sethi, V., Yousry, T.A., Muhlert, N., Ron, M., Golay, X., Improved detection of cortical MS lesions with phase-sensitive inversion recovery MRI (2012) J Neurol Neurosurg Psychiatry, 83, pp. 877-882. , doi: 10.1136/jnnp-2012-303023 | |
dc.description | Nielsen, A.S., Kinkel, R.P., Madigan, N., Tinelli, E., Benner, T., Contribution of cortical lesion subtypes at 7T MRI to physical and cognitive performance in MS (2013) Neurology, 81, pp. 641-649. , doi: 10.1212/WNL.0b013e3182a08ce8 | |
dc.language | en | |
dc.publisher | Public Library of Science | |
dc.relation | PLoS ONE | |
dc.rights | aberto | |
dc.source | Scopus | |
dc.title | The Clinical Impact Of Cerebellar Grey Matter Pathology In Multiple Sclerosis | |
dc.type | Artículos de revistas | |