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Published in: Journal of Neurology 4/2018

01-04-2018 | Original Communication

Cerebellum and cognition in multiple sclerosis: the fall status matters

Authors: Alon Kalron, Gilles Allali, Anat Achiron

Published in: Journal of Neurology | Issue 4/2018

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Abstract

Cerebellar volume has been linked with cognitive performances in MS; however, the association in terms of fall status has never been compared. Therefore, the objective of the current study was to compare cognitive performance with cerebellar volume between MS fallers and non-fallers. The cross-sectional study included 140 PwMS (96 women). MRI volumetric analysis was based on the FreeSurfer image analysis suite. Volumes of the cerebellar gray and white matter were identified as the region of interest. Cognitive function included scores obtained from a computerized cognitive battery of tests. The sample was divided into fallers and non-fallers. MS fallers demonstrated a lower global cognitive performance and reduced gray and white matter cerebellar volumes compared to non-fallers. A significant association was found between total gray and white matter cerebellar volume and visual spatial subdomain (P value = 0.044 and 0.032, respectively) in the non-fallers group. The association remained significant after controlling for the total cranial volume and neurological disability (P value = 0.026 and 0.047, respectively). A relationship was found between the visual spatial score and the left gray matter cerebellum volume; R2 = 0.44, P value = 0.021. We believe that a unique relationship exists between the cerebellum structure and cognitive processing according to fall history in PwMS and should be considered when investigating the association between brain functioning and cognitive performances in MS.
Literature
1.
go back to reference Chiaravalloti ND, DeLuca J (2008) Cognitive impairment in multiple sclerosis. Lancet Neurol 7:1139–1151CrossRefPubMed Chiaravalloti ND, DeLuca J (2008) Cognitive impairment in multiple sclerosis. Lancet Neurol 7:1139–1151CrossRefPubMed
2.
go back to reference Feuillet L, Reuter F, Audoin B, Malikova I, Barrau K, Cherif AA et al (2007) Early cognitive impairment in patients with clinically isolated syndrome suggestive of multiple sclerosis. Mult Scler 13:124–127CrossRefPubMed Feuillet L, Reuter F, Audoin B, Malikova I, Barrau K, Cherif AA et al (2007) Early cognitive impairment in patients with clinically isolated syndrome suggestive of multiple sclerosis. Mult Scler 13:124–127CrossRefPubMed
3.
go back to reference Amato MP, Portaccio E, Goretti B, Zipoli V, Battaglini M, Bartolozzi ML et al (2007) Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis. Arch Neurol 64:1157–1161CrossRefPubMed Amato MP, Portaccio E, Goretti B, Zipoli V, Battaglini M, Bartolozzi ML et al (2007) Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis. Arch Neurol 64:1157–1161CrossRefPubMed
4.
go back to reference Weier K, Banwell B, Cerasa A, Collins DL, Dogonowski AM, Lassmann H et al (2015) The role of the cerebellum in multiple sclerosis. Cerebellum 14:364–374CrossRefPubMed Weier K, Banwell B, Cerasa A, Collins DL, Dogonowski AM, Lassmann H et al (2015) The role of the cerebellum in multiple sclerosis. Cerebellum 14:364–374CrossRefPubMed
5.
6.
go back to reference Moroso A, Ruet A, Lamargue-Hamel D, Munsch F, Deloire M, Coupe P et al (2017) Posterior lobules of the cerebellum and information processing speed at various stages of multiple sclerosis. J Neurol Neurosurg Psychiatry 88:146–151CrossRefPubMed Moroso A, Ruet A, Lamargue-Hamel D, Munsch F, Deloire M, Coupe P et al (2017) Posterior lobules of the cerebellum and information processing speed at various stages of multiple sclerosis. J Neurol Neurosurg Psychiatry 88:146–151CrossRefPubMed
7.
go back to reference Ruet A, Hamel D, Deloire MS, Charre-Morin J, Saubusse A, Brochet B (2014) Information processing speed impairment and cerebellar dysfunction in relapsing-remitting multiple sclerosis. J Neurol Sci 347:246–250CrossRefPubMed Ruet A, Hamel D, Deloire MS, Charre-Morin J, Saubusse A, Brochet B (2014) Information processing speed impairment and cerebellar dysfunction in relapsing-remitting multiple sclerosis. J Neurol Sci 347:246–250CrossRefPubMed
8.
go back to reference Weier K, Penner IK, Magon S, Amann M, Naegelin Y, Andelova M et al (2014) Cerebellar abnormalities contribute to disability including cognitive impairment in multiple sclerosis. PLoS One 9:e86916CrossRefPubMedCentralPubMed Weier K, Penner IK, Magon S, Amann M, Naegelin Y, Andelova M et al (2014) Cerebellar abnormalities contribute to disability including cognitive impairment in multiple sclerosis. PLoS One 9:e86916CrossRefPubMedCentralPubMed
9.
go back to reference Weier K, Till C, Fonov V, Yeh EA, Arnold DL, Banwell B et al (2016) Contribution of the cerebellum to cognitive performance in children and adolescents with multiple sclerosis. Mult Scler 22:599–607CrossRefPubMed Weier K, Till C, Fonov V, Yeh EA, Arnold DL, Banwell B et al (2016) Contribution of the cerebellum to cognitive performance in children and adolescents with multiple sclerosis. Mult Scler 22:599–607CrossRefPubMed
10.
go back to reference Kalron A, Givon U, Frid L, Dolev M, Achiron A (2016) Static posturography and falls according to pyramidal, sensory and cerebellar functional systems in people with multiple sclerosis. PLoS One 11:e0164467CrossRefPubMedCentralPubMed Kalron A, Givon U, Frid L, Dolev M, Achiron A (2016) Static posturography and falls according to pyramidal, sensory and cerebellar functional systems in people with multiple sclerosis. PLoS One 11:e0164467CrossRefPubMedCentralPubMed
11.
go back to reference Prosperini L, Kouleridou A, Petsas N, Leonardi L, Tona F, Pantano P et al (2011) The relationship between infratentorial lesions, balance deficit and accidental falls in multiple sclerosis. J Neurol Sci 304:55–60CrossRefPubMed Prosperini L, Kouleridou A, Petsas N, Leonardi L, Tona F, Pantano P et al (2011) The relationship between infratentorial lesions, balance deficit and accidental falls in multiple sclerosis. J Neurol Sci 304:55–60CrossRefPubMed
12.
go back to reference D’Orio VL, Foley FW, Armentano F, Picone MA, Kim S, Holtzer R (2012) Cognitive and motor functioning in patients with multiple sclerosis: neuropsychological predictors of walking speed and falls. J Neurol Sci 316:42–44CrossRefPubMed D’Orio VL, Foley FW, Armentano F, Picone MA, Kim S, Holtzer R (2012) Cognitive and motor functioning in patients with multiple sclerosis: neuropsychological predictors of walking speed and falls. J Neurol Sci 316:42–44CrossRefPubMed
13.
go back to reference Kalron A (2014) The relationship between specific cognitive domains, fear of falling, and falls in people with multiple sclerosis. Biomed Res Int 2014:281760CrossRefPubMedCentralPubMed Kalron A (2014) The relationship between specific cognitive domains, fear of falling, and falls in people with multiple sclerosis. Biomed Res Int 2014:281760CrossRefPubMedCentralPubMed
15.
go back to reference Kalron A, Allali G (2017) Gait and cognitive impairments in multiple sclerosis: the specific contribution of falls and fear of falling. J Neural Transm 124(11):1407–1416CrossRefPubMed Kalron A, Allali G (2017) Gait and cognitive impairments in multiple sclerosis: the specific contribution of falls and fear of falling. J Neural Transm 124(11):1407–1416CrossRefPubMed
16.
go back to reference Stoodley CJ, Schmahmann JD (2010) Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing. Cortex 46(7):831–844CrossRefPubMedCentralPubMed Stoodley CJ, Schmahmann JD (2010) Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing. Cortex 46(7):831–844CrossRefPubMedCentralPubMed
17.
go back to reference Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302CrossRefPubMedCentralPubMed Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302CrossRefPubMedCentralPubMed
18.
go back to reference Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33:1444–1452CrossRefPubMed Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33:1444–1452CrossRefPubMed
19.
go back to reference Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C et al (2002) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33:341–355CrossRefPubMed Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C et al (2002) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33:341–355CrossRefPubMed
20.
go back to reference Fischl B, Salat DH, van der Kouwe AJ, Makris N, Segonne F, Quinn BT et al (2004) Sequence-independent segmentation of magnetic resonance images. Neuroimage 23:S69–S84CrossRefPubMed Fischl B, Salat DH, van der Kouwe AJ, Makris N, Segonne F, Quinn BT et al (2004) Sequence-independent segmentation of magnetic resonance images. Neuroimage 23:S69–S84CrossRefPubMed
21.
go back to reference Rosas HD, Liu AK, Hersch S, Glessner M, Ferrante RJ, Salat DH et al (2002) Regional and progressive thinning of the cortical ribbon in Huntington’s disease. Neurology 58:695–701CrossRefPubMed Rosas HD, Liu AK, Hersch S, Glessner M, Ferrante RJ, Salat DH et al (2002) Regional and progressive thinning of the cortical ribbon in Huntington’s disease. Neurology 58:695–701CrossRefPubMed
22.
go back to reference Kuperberg GR, Broome MR, McGuire PK, David AS, Eddy M, Ozawa F et al (2003) Regionally localized thinning of the cerebral cortex in schizophrenia. Arch Gen Psychiatry 60:878–888CrossRefPubMed Kuperberg GR, Broome MR, McGuire PK, David AS, Eddy M, Ozawa F et al (2003) Regionally localized thinning of the cerebral cortex in schizophrenia. Arch Gen Psychiatry 60:878–888CrossRefPubMed
23.
go back to reference Salat DH, Buckner RL, Snyder AZ, Greve DN, Desikan RS, Busa E et al (2004) Thinning of the cerebral cortex in aging. Cereb Cortex 14:721–730CrossRefPubMed Salat DH, Buckner RL, Snyder AZ, Greve DN, Desikan RS, Busa E et al (2004) Thinning of the cerebral cortex in aging. Cereb Cortex 14:721–730CrossRefPubMed
24.
go back to reference Han X, Jovicich J, Salat D, van der Kouwe A, Quinn B, Czanner S et al (2006) Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. Neuroimage 32:180–194CrossRefPubMed Han X, Jovicich J, Salat D, van der Kouwe A, Quinn B, Czanner S et al (2006) Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. Neuroimage 32:180–194CrossRefPubMed
25.
go back to reference Achiron A, Doniger GM, Harel Y, Appleboim-Gavish N, Lavie M, Simon ES (2007) Prolonged response times characterize cognitive performance in multiple sclerosis. Eur J Neurol 14:1102–1108CrossRefPubMed Achiron A, Doniger GM, Harel Y, Appleboim-Gavish N, Lavie M, Simon ES (2007) Prolonged response times characterize cognitive performance in multiple sclerosis. Eur J Neurol 14:1102–1108CrossRefPubMed
26.
go back to reference Finlayson ML, Peterson EW, Cho CC (2006) Risk factors for falling among people aged 45–90 years with multiple sclerosis. Arch Phys Med Rehabil 87:1274–1279CrossRefPubMed Finlayson ML, Peterson EW, Cho CC (2006) Risk factors for falling among people aged 45–90 years with multiple sclerosis. Arch Phys Med Rehabil 87:1274–1279CrossRefPubMed
27.
go back to reference Beauchet O, Launay CP, Barden J, Liu-Ambrose T, Chester VL, Szturm T et al (2017) Association between falls and brain subvolumes: results from a cross-sectional analysis in healthy older adults. Brain Topogr 30:272–280CrossRefPubMed Beauchet O, Launay CP, Barden J, Liu-Ambrose T, Chester VL, Szturm T et al (2017) Association between falls and brain subvolumes: results from a cross-sectional analysis in healthy older adults. Brain Topogr 30:272–280CrossRefPubMed
28.
go back to reference Boisgontier MP, Cheval B, Chalavi S, van Ruitenbeek P, Leunissen I, Levin O et al (2017) Individual differences in brainstem and basal ganglia structure predict postural control and balance loss in young and older adults. Neurobiol Aging 50:47–59CrossRefPubMed Boisgontier MP, Cheval B, Chalavi S, van Ruitenbeek P, Leunissen I, Levin O et al (2017) Individual differences in brainstem and basal ganglia structure predict postural control and balance loss in young and older adults. Neurobiol Aging 50:47–59CrossRefPubMed
29.
go back to reference Gianni C, Prosperini L, Jonsdottir J, Catteneo D (2014) A systematic review of factors associated with accidental falls in people with multiple sclerosis: a meta-analytic approach. Clin Rehabil 28(7):704–716CrossRefPubMed Gianni C, Prosperini L, Jonsdottir J, Catteneo D (2014) A systematic review of factors associated with accidental falls in people with multiple sclerosis: a meta-analytic approach. Clin Rehabil 28(7):704–716CrossRefPubMed
30.
go back to reference Valentino P, Cerasa A, Chiriaco C, Nistico R, Pirritano D, Gioia M et al (2009) Cognitive deficits in multiple sclerosis patients with cerebellar symptoms. Mult Scler 15:854–859CrossRefPubMed Valentino P, Cerasa A, Chiriaco C, Nistico R, Pirritano D, Gioia M et al (2009) Cognitive deficits in multiple sclerosis patients with cerebellar symptoms. Mult Scler 15:854–859CrossRefPubMed
31.
32.
33.
go back to reference Tedesco AM, Chiricozzi FR, Clausi S, Lupo M, Molinari M, Leggio MG (2011) The cerebellar cognitive profile. Brain 134:3672–3686CrossRefPubMed Tedesco AM, Chiricozzi FR, Clausi S, Lupo M, Molinari M, Leggio MG (2011) The cerebellar cognitive profile. Brain 134:3672–3686CrossRefPubMed
34.
go back to reference Baillieux H, De Smet HJ, Dobbeleir A, Paquier PF, De Deyn PP, Marien P (2010) Cognitive and affective disturbances following focal cerebellar damage in adults: a neuropsychological and SPECT study. Cortex 46:869–879CrossRefPubMed Baillieux H, De Smet HJ, Dobbeleir A, Paquier PF, De Deyn PP, Marien P (2010) Cognitive and affective disturbances following focal cerebellar damage in adults: a neuropsychological and SPECT study. Cortex 46:869–879CrossRefPubMed
35.
go back to reference Marien P, Engelborghs S, Fabbro F, De Deyn PP (2001) The lateralized linguistic cerebellum: a review and a new hypothesis. Brain Lang 79:580–600CrossRefPubMed Marien P, Engelborghs S, Fabbro F, De Deyn PP (2001) The lateralized linguistic cerebellum: a review and a new hypothesis. Brain Lang 79:580–600CrossRefPubMed
36.
go back to reference Perrochon A, Holtzer R, Laidet M, Armand S, Assal F, Lalive PH et al (2017) Postural control is associated with cognition and fear of falling in patients with multiple sclerosis. J Neural Transm 124:495–500CrossRefPubMed Perrochon A, Holtzer R, Laidet M, Armand S, Assal F, Lalive PH et al (2017) Postural control is associated with cognition and fear of falling in patients with multiple sclerosis. J Neural Transm 124:495–500CrossRefPubMed
37.
go back to reference Morgen K, Sammer G, Courtney SM, Wolters T, Melchior H, Blecker CR et al (2007) Distinct mechanisms of altered brain activation in patients with multiple sclerosis. Neuroimage 37:937–946CrossRefPubMed Morgen K, Sammer G, Courtney SM, Wolters T, Melchior H, Blecker CR et al (2007) Distinct mechanisms of altered brain activation in patients with multiple sclerosis. Neuroimage 37:937–946CrossRefPubMed
38.
go back to reference Covey TJ, Zivadinov R, Shucard JL, Shucard DW (2011) Information processing speed, neural efficiency, and working memory performance in multiple sclerosis: differential relationships with structural magnetic resonance imaging. J Clin Exp Neuropsychol 33:1129–1145CrossRefPubMed Covey TJ, Zivadinov R, Shucard JL, Shucard DW (2011) Information processing speed, neural efficiency, and working memory performance in multiple sclerosis: differential relationships with structural magnetic resonance imaging. J Clin Exp Neuropsychol 33:1129–1145CrossRefPubMed
39.
go back to reference Johnen A, Landmeyer NC, Burkner PC, Wiendi H, Meuth SG, Holling H (2017) Distinct cognitive impairments in different disease courses of multiple sclerosis—a systematic review and meta-analysis. Neurosci Biobehav Rev 83:568–578CrossRefPubMed Johnen A, Landmeyer NC, Burkner PC, Wiendi H, Meuth SG, Holling H (2017) Distinct cognitive impairments in different disease courses of multiple sclerosis—a systematic review and meta-analysis. Neurosci Biobehav Rev 83:568–578CrossRefPubMed
Metadata
Title
Cerebellum and cognition in multiple sclerosis: the fall status matters
Authors
Alon Kalron
Gilles Allali
Anat Achiron
Publication date
01-04-2018
Publisher
Springer Berlin Heidelberg
Published in
Journal of Neurology / Issue 4/2018
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-018-8774-2

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