Literature DB >> 35718819

Thalamic atrophy moderates associations among aerobic fitness, cognitive processing speed, and walking endurance in persons with multiple sclerosis.

Brian M Sandroff1,2, Robert W Motl3, Cristina A F Román4,5, Glenn R Wylie4,5, John DeLuca4,5, Gary R Cutter6, Ralph H B Benedict7, Michael G Dwyer7, Robert Zivadinov7.   

Abstract

BACKGROUND AND OBJECTIVES: Thalamic atrophy (TA) represents a biomarker of neurodegeneration and associated dysfunction/decline in physical and cognitive functioning among persons with multiple sclerosis (MS). Aerobic fitness, as an end point of exercise training, represents a promising target for restoring function in MS, but it is unknown if such effects differ by TA. This cross-sectional study examined whether aerobic fitness was differentially associated with cognitive processing speed and walking endurance in persons with MS who present with and without TA.
METHODS: 44 fully ambulatory persons with MS completed a graded exercise test for measuring aerobic fitness (VO2peak) and underwent 3T MRI for measuring TA, the Symbol Digit Modalities Test (SDMT), and the 6-min walk (6MW). We performed Spearman correlations (rs) among VO2peak, SDMT, and 6MW scores overall, and in persons with and without TA. We applied Fisher's z-test for comparing correlations based on TA status.
RESULTS: When controlling for age, EDSS score, and global MRI measures of atrophy, VO2peak was strongly associated with SDMT scores (prs = 0.74, p < 0.01) and 6MW performance (prs = 0.77, p < 0.01) in persons with TA, whereas VO2peak was not associated with SDMT scores (prs =  - 0.01, p = 0.99) or 6MW performance (prs = 0.25, p = 0.38) in those without TA. The correlations between VO2peak and SDMT (z = 2.86, p < 0.01) and VO2peak and 6MW (z = 2.33, p = 0.02) were significantly stronger in the TA group. DISCUSSION: This study provides initial evidence of strong, selective associations among aerobic fitness, cognitive processing speed, and walking endurance in persons with TA as a biomarker for MS-related neurodegeneration. Such data support TA as a moderator of the association among aerobic fitness, cognitive processing speed, and walking endurance in persons with MS. Future research should carefully consider the role of TA when designing trials of aerobic exercise, cognition, and mobility in MS.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

Entities:  

Keywords:  Cognition; Exercise; Multiple sclerosis; Thalamus; Walking

Mesh:

Year:  2022        PMID: 35718819      PMCID: PMC9474622          DOI: 10.1007/s00415-022-11205-9

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   6.682


  43 in total

Review 1.  The role of the thalamus in the flow of information to the cortex.

Authors:  S Murray Sherman; R W Guillery
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

2.  Thalamic damage and long-term progression of disability in multiple sclerosis.

Authors:  Maria Assunta Rocca; Sarlota Mesaros; Elisabetta Pagani; Maria Pia Sormani; Giancarlo Comi; Massimo Filippi
Journal:  Radiology       Date:  2010-08-19       Impact factor: 11.105

Review 3.  Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine.

Authors:  Robert Zivadinov; Dejan Jakimovski; Sirin Gandhi; Rahil Ahmed; Michael G Dwyer; Dana Horakova; Bianca Weinstock-Guttman; Ralph R H Benedict; Manuela Vaneckova; Michael Barnett; Niels Bergsland
Journal:  Expert Rev Neurother       Date:  2016-05-13       Impact factor: 4.618

4.  Thalamic atrophy in multiple sclerosis: A magnetic resonance imaging marker of neurodegeneration throughout disease.

Authors:  Christina J Azevedo; Steven Y Cen; Sankalpa Khadka; Shuang Liu; John Kornak; Yonggang Shi; Ling Zheng; Stephen L Hauser; Daniel Pelletier
Journal:  Ann Neurol       Date:  2018-02-09       Impact factor: 10.422

Review 5.  Cognitive and perceptual functions of the visual thalamus.

Authors:  Yuri B Saalmann; Sabine Kastner
Journal:  Neuron       Date:  2011-07-28       Impact factor: 17.173

6.  Volume loss in the deep gray matter and thalamic subnuclei: a longitudinal study on disability progression in multiple sclerosis.

Authors:  Stefano Magon; Charidimos Tsagkas; Laura Gaetano; Raihaan Patel; Yvonne Naegelin; Michael Amann; Katrin Parmar; Athina Papadopoulou; Jens Wuerfel; Christoph Stippich; Ludwig Kappos; M Mallar Chakravarty; Till Sprenger
Journal:  J Neurol       Date:  2020-02-10       Impact factor: 4.849

Review 7.  Multiple sclerosis: an immune or neurodegenerative disorder?

Authors:  Bruce D Trapp; Klaus-Armin Nave
Journal:  Annu Rev Neurosci       Date:  2008       Impact factor: 12.449

8.  The prevalence of MS in the United States: A population-based estimate using health claims data.

Authors:  Mitchell T Wallin; William J Culpepper; Jonathan D Campbell; Lorene M Nelson; Annette Langer-Gould; Ruth Ann Marrie; Gary R Cutter; Wendy E Kaye; Laurie Wagner; Helen Tremlett; Stephen L Buka; Piyameth Dilokthornsakul; Barbara Topol; Lie H Chen; Nicholas G LaRocca
Journal:  Neurology       Date:  2019-02-15       Impact factor: 9.910

9.  The sequence of structural, functional and cognitive changes in multiple sclerosis.

Authors:  Iris Dekker; Menno M Schoonheim; Vikram Venkatraghavan; Anand J C Eijlers; Iman Brouwer; Esther E Bron; Stefan Klein; Mike P Wattjes; Alle Meije Wink; Jeroen J G Geurts; Bernard M J Uitdehaag; Neil P Oxtoby; Daniel C Alexander; Hugo Vrenken; Joep Killestein; Frederik Barkhof; Viktor Wottschel
Journal:  Neuroimage Clin       Date:  2020-12-24       Impact factor: 4.881

10.  Do subcortical gray matter volumes and aerobic capacity account for cognitive-motor coupling in multiple sclerosis?

Authors:  Robert W Motl; Brian M Sandroff; Ralph Hb Benedict; Elizabeth A Hubbard; Lara A Pilutti; Bradley P Sutton
Journal:  Mult Scler       Date:  2020-03-31       Impact factor: 6.312

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