Literature DB >> 29396679

Cerebellum and cognition in multiple sclerosis: the fall status matters.

Alon Kalron1,2, Gilles Allali3,4,5, Anat Achiron6,7.   

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.

Entities:  

Keywords:  Brain volume; Cerebellum; Cognition; Fall; Multiple sclerosis

Mesh:

Year:  2018        PMID: 29396679     DOI: 10.1007/s00415-018-8774-2

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  39 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Sequence-independent segmentation of magnetic resonance images.

Authors:  Bruce Fischl; David H Salat; André J W van der Kouwe; Nikos Makris; Florent Ségonne; Brian T Quinn; Anders M Dale
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

Review 3.  A systematic review of factors associated with accidental falls in people with multiple sclerosis: a meta-analytic approach.

Authors:  Costanza Giannì; Luca Prosperini; Johanna Jonsdottir; Davide Cattaneo
Journal:  Clin Rehabil       Date:  2014-02-25       Impact factor: 3.477

4.  Risk factors for falling among people aged 45 to 90 years with multiple sclerosis.

Authors:  Marcia L Finlayson; Elizabeth W Peterson; Chi C Cho
Journal:  Arch Phys Med Rehabil       Date:  2006-09       Impact factor: 3.966

5.  Information processing speed impairment and cerebellar dysfunction in relapsing-remitting multiple sclerosis.

Authors:  Aurélie Ruet; Delphine Hamel; Mathilde S A Deloire; Julie Charré-Morin; Aurore Saubusse; Bruno Brochet
Journal:  J Neurol Sci       Date:  2014-10-12       Impact factor: 3.181

6.  The relationship between infratentorial lesions, balance deficit and accidental falls in multiple sclerosis.

Authors:  Luca Prosperini; Anna Kouleridou; Nikolaos Petsas; Laura Leonardi; Francesca Tona; Patrizia Pantano; Carlo Pozzilli
Journal:  J Neurol Sci       Date:  2011-03-12       Impact factor: 3.181

Review 7.  Distinct cognitive impairments in different disease courses of multiple sclerosis-A systematic review and meta-analysis.

Authors:  Andreas Johnen; Nils C Landmeyer; Paul-Christian Bürkner; Heinz Wiendl; Sven G Meuth; Heinz Holling
Journal:  Neurosci Biobehav Rev       Date:  2017-09-08       Impact factor: 8.989

8.  Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis.

Authors:  Maria Pia Amato; Emilio Portaccio; Benedetta Goretti; Valentina Zipoli; Marco Battaglini; Maria Letizia Bartolozzi; Maria Laura Stromillo; Leonello Guidi; Gianfranco Siracusa; Sandro Sorbi; Antonio Federico; Nicola De Stefano
Journal:  Arch Neurol       Date:  2007-08

9.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

10.  Static Posturography and Falls According to Pyramidal, Sensory and Cerebellar Functional Systems in People with Multiple Sclerosis.

Authors:  Alon Kalron; Uri Givon; Lior Frid; Mark Dolev; Anat Achiron
Journal:  PLoS One       Date:  2016-10-14       Impact factor: 3.240

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  2 in total

1.  Occulomotor Neural Integrator Dysfunction in Multiple Sclerosis: Insights From Neuroimaging.

Authors:  Peter Bede; Eoin Finegan; Rangariroyashe H Chipika; Stacey Li Hi Shing; Jeffrey Lambe; James Meaney; Janice Redmond
Journal:  Front Neurol       Date:  2018-08-23       Impact factor: 4.003

2.  Dalfampridine improves slowed processing speed in multiple sclerosis patients with mild motor disability: post hoc analysis of a randomized controlled trial.

Authors:  Carlo Pozzilli; Luca Prosperini; Silvia Tommasin; Claudio Gasperini; Elena Barbuti; Laura De Giglio
Journal:  Ther Adv Neurol Disord       Date:  2021-04-24       Impact factor: 6.570

  2 in total

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