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Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis

BACKGROUND: Cognitive impairment is a disabling and underestimated consequence of multiple sclerosis (MS), with multiple determinants that are poorly understood. OBJECTIVES: We explored predictors of MS-related processing speed impairment (PSI) and age-related mild cognitive impairment (MCI) and hyp...

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Autores principales: Snow, Nicholas J., Landine, Josef, Chaves, Arthur R., Ploughman, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412844/
https://www.ncbi.nlm.nih.gov/pubmed/37577407
http://dx.doi.org/10.1016/j.ibneur.2023.07.002
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author Snow, Nicholas J.
Landine, Josef
Chaves, Arthur R.
Ploughman, Michelle
author_facet Snow, Nicholas J.
Landine, Josef
Chaves, Arthur R.
Ploughman, Michelle
author_sort Snow, Nicholas J.
collection PubMed
description BACKGROUND: Cognitive impairment is a disabling and underestimated consequence of multiple sclerosis (MS), with multiple determinants that are poorly understood. OBJECTIVES: We explored predictors of MS-related processing speed impairment (PSI) and age-related mild cognitive impairment (MCI) and hypothesized that cardiorespiratory fitness and corticospinal excitability would predict these impairments. METHODS: We screened 73 adults with MS (53 females; median [range]: Age 48 [21–70] years, EDSS 2.0 [0.0–6.5]) for PSI and MCI using the Symbol Digit Modalities Test and Montréal Cognitive Assessment, respectively. We identified six persons with PSI (No PSI, n = 67) and 13 with MCI (No MCI, n = 60). We obtained clinical data from medical records and self-reports; used transcranial magnetic stimulation to test corticospinal excitability; and assessed cardiorespiratory fitness using a graded maximal exercise test. We used receiver operator characteristic (ROC) curves to discern predictors of PSI and MCI. RESULTS: Interhemispheric asymmetry of corticospinal excitability was specific for PSI, while age was both sensitive and specific for MCI. MS-related PSI was also associated with statin prescriptions, while age-related MCI was related to progressive MS and GABA agonist prescriptions. Cardiorespiratory fitness was associated with neither PSI nor MCI. DISCUSSION: Corticospinal excitability is a potential marker of neurodegeneration in MS-related PSI, independent of age-related effects on global cognitive function. Age is a key predictor of mild global cognitive impairment. Cardiorespiratory fitness did not predict cognitive impairments in this clinic-based sample of persons with MS.
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spelling pubmed-104128442023-08-11 Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis Snow, Nicholas J. Landine, Josef Chaves, Arthur R. Ploughman, Michelle IBRO Neurosci Rep Research Paper BACKGROUND: Cognitive impairment is a disabling and underestimated consequence of multiple sclerosis (MS), with multiple determinants that are poorly understood. OBJECTIVES: We explored predictors of MS-related processing speed impairment (PSI) and age-related mild cognitive impairment (MCI) and hypothesized that cardiorespiratory fitness and corticospinal excitability would predict these impairments. METHODS: We screened 73 adults with MS (53 females; median [range]: Age 48 [21–70] years, EDSS 2.0 [0.0–6.5]) for PSI and MCI using the Symbol Digit Modalities Test and Montréal Cognitive Assessment, respectively. We identified six persons with PSI (No PSI, n = 67) and 13 with MCI (No MCI, n = 60). We obtained clinical data from medical records and self-reports; used transcranial magnetic stimulation to test corticospinal excitability; and assessed cardiorespiratory fitness using a graded maximal exercise test. We used receiver operator characteristic (ROC) curves to discern predictors of PSI and MCI. RESULTS: Interhemispheric asymmetry of corticospinal excitability was specific for PSI, while age was both sensitive and specific for MCI. MS-related PSI was also associated with statin prescriptions, while age-related MCI was related to progressive MS and GABA agonist prescriptions. Cardiorespiratory fitness was associated with neither PSI nor MCI. DISCUSSION: Corticospinal excitability is a potential marker of neurodegeneration in MS-related PSI, independent of age-related effects on global cognitive function. Age is a key predictor of mild global cognitive impairment. Cardiorespiratory fitness did not predict cognitive impairments in this clinic-based sample of persons with MS. Elsevier 2023-07-29 /pmc/articles/PMC10412844/ /pubmed/37577407 http://dx.doi.org/10.1016/j.ibneur.2023.07.002 Text en © 2023 The Authors. Published by Elsevier Ltd on behalf of International Brain Research Organization. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Snow, Nicholas J.
Landine, Josef
Chaves, Arthur R.
Ploughman, Michelle
Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis
title Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis
title_full Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis
title_fullStr Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis
title_full_unstemmed Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis
title_short Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis
title_sort age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412844/
https://www.ncbi.nlm.nih.gov/pubmed/37577407
http://dx.doi.org/10.1016/j.ibneur.2023.07.002
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