Evidence map›Paper›PMID 38822825›Full record

ArticleExperimental brain research2024

Interhemispheric inhibition and gait adaptation associations in people with multiple sclerosis.

Andrew C Hagen, Jordan S Acosta, Clayton W Swanson, Brett W Fling

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Article in Experimental brain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Andrew C HagenDepartment of Health and Exercise Science, Colorado State University, Fort Collins, CO, 80523, USA.
Jordan S AcostaDepartment of Health and Exercise Science, Colorado State University, Fort Collins, CO, 80523, USA.
Clayton W SwansonBrain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, USA.
Brett W FlingDepartment of Health and Exercise Science, Colorado State University, Fort Collins, CO, 80523, USA. bfling@colostate.edu.ORCID http://orcid.org/0000-0003-1815-3681

Funding

National Multiple Sclerosis Society JF-1907-34355
6 · The paper itself

Abstract

backgroundMultiple sclerosis is a neurodegenerative disease that damages the myelin sheath within the central nervous system. Axonal demyelination, particularly in the corpus callosum, impacts communication between the brain's hemispheres in persons with multiple sclerosis (PwMS). Changes in interhemispheric communication may impair gait coordination which is modulated by communication across the corpus callosum to excite and inhibit specific muscle groups. To further evaluate the functional role of interhemispheric communication in gait and mobility, this study assessed the ipsilateral silent period (iSP), an indirect marker of interhemispheric inhibition and how it relates to gait adaptation in PwMS.

methodsUsing transcranial magnetic stimulation (TMS), we assessed interhemispheric inhibition differences between the more affected and less affected hemisphere in the primary motor cortices in 29 PwMS. In addition, these same PwMS underwent a split-belt treadmill walking paradigm, with the faster paced belt moving under their more affected limb. Step length asymmetry (SLA) was the primary outcome measure used to assess gait adaptability during split-belt treadmill walking. We hypothesized that PwMS would exhibit differences in iSP inhibitory metrics between the more affected and less affected hemispheres and that increased interhemispheric inhibition would be associated with greater gait adaptability in PwMS.

resultsNo statistically significant differences in interhemispheric inhibition or conduction time were found between the more affected and less affected hemisphere. Furthermore, SLA aftereffect was negatively correlated with both average percent depth of silent period (dSP%

conclusionThe lack of differences between the more affected and less affected hemisphere indicates that PwMS have similar interhemispheric inhibitory capacity irrespective of the more affected hemisphere. Additionally, we identified a moderate correlation between reduced interhemispheric inhibition and greater gait adaptability. These findings may indicate that interhemispheric inhibition may in part influence responsiveness to motor adaptation paradigms and the need for further research evaluating the neural mechanisms underlying the relationship between interhemispheric inhibition and motor adaptability.

Indexed as

Adaptation, PhysiologicalMotor CortexMultiple SclerosisTranscranial Magnetic StimulationAdultCorpus CallosumEvoked Potentials, MotorFemaleFunctional LateralityGaitGait Disorders, NeurologicHumansMaleMiddle AgedNeural InhibitionGait adaptationInterhemispheric inhibitionMultiple sclerosisSplit-belt treadmillTranscranial magnetic stimulation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.