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Johnson KA, Bandera VM, Diehl M, Leach HJ, Fling BW. Walking performance differs between people with multiple sclerosis who perform distinct types of exercise. Neurodegener Dis Manag 2024:1-11. [PMID: 39155765 DOI: 10.1080/17582024.2024.2389037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 07/31/2024] [Indexed: 08/20/2024] Open
Abstract
Aim: To determine whether walking performance differed between people with multiple sclerosis (MS) who performed distinct types, volumes and intensities of exercise.Materials & methods: Forty-five people with relapsing-remitting MS performed two trials of the 2-min walk test, one at a preferred speed and another at a fast speed. Gait metrics were measured by wireless inertial sensors. Participants reported the type (aerobic, resistance), volume and intensity of exercise performed.Results: Walking speed reserve and gait variability were better in participants who performed combined aerobic and resistance exercises compared with those who performed aerobic-only exercise.Conclusion: Walking performance differs in people with mild MS disability based on the type and volume of exercise performed.
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Affiliation(s)
- Kristin A Johnson
- Department of Health & Exercise Science, Colorado State University, Fort Collins, CO 80521, USA
| | - Victoria M Bandera
- Huntsman Cancer Institute, Salt Lake City, 84112, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, 84108, Utah
| | - Manfred Diehl
- Department of Human Development & Family Studies, Colorado State University, Fort Collins, CO 80523, USA
| | - Heather J Leach
- Department of Health & Exercise Science, Colorado State University, Fort Collins, CO 80521, USA
| | - Brett W Fling
- Department of Health & Exercise Science, Colorado State University, Fort Collins, CO 80521, USA
- Molecular, Cellular & Integrative Neurosciences Program, Colorado State University, Fort Collins, CO 80523, USA
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2
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Schumann P, Trentzsch K, Stölzer-Hutsch H, Jochim T, Scholz M, Malberg H, Ziemssen T. Using machine learning algorithms to detect fear of falling in people with multiple sclerosis in standardized gait analysis. Mult Scler Relat Disord 2024; 88:105721. [PMID: 38885599 DOI: 10.1016/j.msard.2024.105721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 06/04/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
INTRODUCTION Multiple sclerosis (MS) is the most common chronic inflammatory disease of the central nervous system. The progressive impairment of gait is one of the most important pathognomic symptoms which are associated with falls and fear of falling (FOF) in people with MS (pwMS). 60 % of pwMS show a FOF, which leads to restrictions in mobility as well as physical activity and reduces the quality of life in general. Therefore, early detection of FOF is crucial because it enables early implementation of rehabilitation strategies as well as clinical decision-making to reduce progression. Qualitative and quantitative evaluation of gait pattern is an essential aspect of disease assessment and can provide valuable insights for personalized treatment decisions in pwMS. Our objective was to identify the most appropriate clinical gait analysis methods to identify FOF in pwMS and to detect the optimal machine learning (ML) algorithms to predict FOF using the complex multidimensional data from gait analysis. METHODS Data of 1240 pwMS was recorded at the MS Centre of the University Hospital Dresden between November 2020 and September 2021. Patients performed a multidimensional gait analysis with pressure and motion sensors, as well as patient-reported outcomes (PROs), according to a standardized protocol. A feature selection ensemble (FS-Ensemble) was developed to improve the classification performance. The FS-Ensemble consisted of four filtering methods: Chi-square test, information gain, minimum redundancy maximum relevance and ReliefF. Gaussian Naive Bayes, Decision Tree, k-Nearest Neighbor, and Support Vector Machines (SVM) were used to identify FOF. RESULTS The descriptive analysis showed that 37 % of the 1240 pwMS had a FOF (n = 458; age: 51 ± 16 years, 76 % women, median EDSS: 4.0). The FS-Ensemble improved classification performance in most cases. The SVM showed the best performance of the four classification models in detecting FOF. The PROs showed the best F1 scores (Early Mobility Impairment Questionnaire F1 = 0.81 ± 0.00 and 12-item Multiple Sclerosis Scale F1 = 0.80 ± 0.00). CONCLUSION FOF is an important psychological risk factor associated with an increased risk of falls. To integrate a functional early warning system for fall detection into MS management and progression monitoring, it is necessary to detect the relevant gait parameters as well as assessment methods. In this context, ML strategies allow the integration of gait parameters from clinical routine to support the initiation of early rehabilitation measures and adaptation of course-modifying therapeutics. The results of this study confirm that patients' self-assessments play an important role in disease management.
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Affiliation(s)
- Paula Schumann
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden 01307, Germany
| | - Katrin Trentzsch
- Center of Clinical Neuroscience, Neurological Clinic, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstr. 74, Dresden 01307, Germany
| | - Heidi Stölzer-Hutsch
- Center of Clinical Neuroscience, Neurological Clinic, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstr. 74, Dresden 01307, Germany
| | - Thurid Jochim
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden 01307, Germany
| | - Maria Scholz
- Center of Clinical Neuroscience, Neurological Clinic, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstr. 74, Dresden 01307, Germany
| | - Hagen Malberg
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden 01307, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Neurological Clinic, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstr. 74, Dresden 01307, Germany.
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Sandroff BM, Rafizadeh CM, Motl RW. Neuroimaging Technology in Exercise Neurorehabilitation Research in Persons with MS: A Scoping Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23094530. [PMID: 37177732 PMCID: PMC10181711 DOI: 10.3390/s23094530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 04/28/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023]
Abstract
There is increasing interest in the application of neuroimaging technology in exercise neurorehabilitation research among persons with multiple sclerosis (MS). The inclusion and focus on neuroimaging outcomes in MS exercise training research is critical for establishing a biological basis for improvements in functioning and elevating exercise within the neurologist's clinical armamentarium alongside disease modifying therapies as an approach for treating the disease and its consequences. Indeed, the inclusion of selective neuroimaging approaches and sensor-based technology among physical activity, mobility, and balance outcomes in such MS research might further allow for detecting specific links between the brain and real-world behavior. This paper provided a scoping review on the application of neuroimaging in exercise training research among persons with MS based on searches conducted in PubMed, Web of Science, and Scopus. We identified 60 studies on neuroimaging-technology-based (primarily MRI, which involved a variety of sequences and approaches) correlates of functions, based on multiple sensor-based measures, which are typically targets for exercise training trials in MS. We further identified 12 randomized controlled trials of exercise training effects on neuroimaging outcomes in MS. Overall, there was a large degree of heterogeneity whereby we could not identify definitive conclusions regarding a consistent neuroimaging biomarker of MS-related dysfunction or singular sensor-based measure, or consistent neural adaptation for exercise training in MS. Nevertheless, the present review provides a first step for better linking correlational and randomized controlled trial research for the development of high-quality exercise training studies on the brain in persons with MS, and this is timely given the substantial interest in exercise as a potential disease-modifying and/or neuroplasticity-inducing behavior in this population.
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Affiliation(s)
- Brian M Sandroff
- Center for Neuropsychology and Neuroscience Research, Kessler Foundation, 1199 Pleasant Valley Way, West Orange, NJ 07052, USA
- Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ 07103, USA
| | - Caroline M Rafizadeh
- Center for Neuropsychology and Neuroscience Research, Kessler Foundation, 1199 Pleasant Valley Way, West Orange, NJ 07052, USA
| | - Robert W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL 60607, USA
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4
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Sarasso E, Filippi M, Agosta F. Clinical and MRI features of gait and balance disorders in neurodegenerative diseases. J Neurol 2023; 270:1798-1807. [PMID: 36577818 DOI: 10.1007/s00415-022-11544-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 12/29/2022]
Abstract
Gait and balance disorders are common signs in several neurodegenerative diseases such as Parkinson's disease, atypical parkinsonism, idiopathic normal pressure hydrocephalus, cerebrovascular disease, dementing disorders and multiple sclerosis. According to each condition, patients present with different gait and balance alterations depending on the structural and functional brain changes through the disease course. In this review, we will summarize the main clinical characteristics of gait and balance disorders in the major neurodegenerative conditions, providing an overview of the significant structural and functional MRI brain alterations underlying these deficits. We also will discuss the role of neurorehabilitation strategies in promoting brain plasticity and gait/balance improvements in these patients.
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Affiliation(s)
- Elisabetta Sarasso
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, University of Genoa, Genoa, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
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Cofré Lizama LE, Strik M, Van der Walt A, Kilpatrick TJ, Kolbe SC, Galea MP. Gait stability reflects motor tracts damage at early stages of multiple sclerosis. Mult Scler 2022; 28:1773-1782. [DOI: 10.1177/13524585221094464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Gait in people with multiple sclerosis (PwMS) is affected even when no changes can be observed on clinical examination. A sensitive measure of gait deterioration is stability; however, its correlation with motor tract damage has not yet been established. Objective: To compare stability between PwMS and healthy controls (HCs) and determine associations between stability and diffusion magnetic resonance image (MRI) measures of axonal damage in selected sensorimotor tracts. Methods: Twenty-five PwMS (Expanded Disability Status Scale (EDSS) < 2.5) and 15 HCs walked on a treadmill. Stability from sacrum (LDESAC), shoulder (LDESHO) and cervical (LDECER) was calculated using the local divergence exponent (LDE). Participants underwent a 7T-MRI brain scan to obtain fibre-specific measures of axonal loss within the corticospinal tract (CST), interhemispheric sensorimotor tract (IHST) and cerebellothalamic tract (CTT). Correlation analyses between LDE and fibre density (FD) within tracts, fibre cross-section (FC) and FD modulated by FC (FDC) were conducted. Between-groups LDE differences were analysed using analysis of variance (ANOVA). Results: Correlations between all stability measures with CSTFD, between CSTFDC with LDESAC and LDECER, and LDECER with IHSTFD and IHSTFDC were significant yet moderate ( R < −0.4). Stability was significantly different between groups. Conclusions: Poorer gait stability is associated with corticospinal tract (CST) axonal loss in PwMS with no-to-low disability and is a sensitive indicator of neurodegeneration.
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Affiliation(s)
- L Eduardo Cofré Lizama
- School of Allied Health, Human Services and Sports, La Trobe University, Bundoora, VIC, Australia/Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia
| | - Myrte Strik
- Melbourne Brain Centre Imaging Unit, Department of Radiology, The University of Melbourne, Parkville, VIC, Australia
| | - Anneke Van der Walt
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Trevor J Kilpatrick
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia/Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Australia/Department of Neurology, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Scott C Kolbe
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Mary P Galea
- Galea Department of Medicine and Radiology, The University of Melbourne, Parkville, VIC, Australia
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Rudroff T, Fietsam AC, Deters JR, Workman CD, Boles Ponto LL. On the Effects of Transcranial Direct Current Stimulation on Cerebral Glucose Uptake During Walking: A Report of Three Patients With Multiple Sclerosis. Front Hum Neurosci 2022; 16:833619. [PMID: 35145388 PMCID: PMC8824586 DOI: 10.3389/fnhum.2022.833619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 01/04/2022] [Indexed: 11/24/2022] Open
Abstract
Common symptoms of multiple sclerosis (MS) include motor impairments of the lower extremities, particularly gait disturbances. Loss of balance and muscle weakness, representing some peripheral effects, have been shown to influence these symptoms, however, the individual role of cortical and subcortical structures in the central nervous system is still to be understood. Assessing [18F]fluorodeoxyglucose (FDG) uptake in the CNS can assess brain activity and is directly associated with regional neuronal activity. One potential modality to increase cortical excitability and improve motor function in patients with MS (PwMS) is transcranial direct current stimulation (tDCS). However, tDCS group outcomes may not mirror individual subject responses, which impedes our knowledge of the pathophysiology and management of diseases like MS. Three PwMS randomly received both 3 mA tDCS and SHAM targeting the motor cortex (M1) that controls the more-affected leg for 20 min on separate days before walking on a treadmill. The radiotracer, FDG, was injected at minute two of the 20 min walk and the subjects underwent a Positron emission tomography (PET) scan immediately after the task. Differences in relative regional metabolism of areas under the tDCS anode and the basal ganglia were calculated and investigated. The results indicated diverse and individualized responses in regions under the anode and consistent increases in some basal ganglia areas (e.g., caudate nucleus). Thus, anodal tDCS targeting the M1 that controls the more-affected leg of PwMS might be capable of affecting remote subcortical regions and modulating the activity (motor, cognitive, and behavioral functions) of the circuitry connected to these regions.
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Affiliation(s)
- Thorsten Rudroff
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA, United States
- Department of Neurology, University of Iowa Health Clinics, Iowa City, IA, United States
- *Correspondence: Thorsten Rudroff,
| | - Alexandra C. Fietsam
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA, United States
| | - Justin R. Deters
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA, United States
| | - Craig D. Workman
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA, United States
| | - Laura L. Boles Ponto
- Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States
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Cerebellar Contributions to Motor Impairments in People with Multiple Sclerosis. THE CEREBELLUM 2021; 21:1052-1060. [PMID: 34657272 DOI: 10.1007/s12311-021-01336-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/10/2021] [Indexed: 12/25/2022]
Abstract
Although Charcot characterized classic cerebellar symptoms in people with multiple sclerosis (PwMS) in 1877, the impact of cerebellar dysfunction on MS symptoms has predominately been evaluated in the last two decades. Recent studies have clearly demonstrated the association between cerebellar pathology, including atrophy and reduced fractional anisotropy in the peduncles, and motor impairments, such as reduced gait velocity and time to complete walking tasks. However, future studies using novel imaging techniques are needed to elucidate all potential pathophysiology that is associated with disability in PwMS. Additionally, future studies are required to determine the most effective treatments for motor impairments in PwMS, including the specific type and duration of exercise interventions, and potential means to amplify their effects, such as transcranial direct current stimulation (tDCS). This mini-review critically discusses the distinct role of cerebellar dysfunction in motor impairments in PwMS, potential treatments, and directions for future studies.
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Chee JN, Ye B, Gregor S, Berbrayer D, Mihailidis A, Patterson KK. Influence of Multiple Sclerosis on Spatiotemporal Gait Parameters: A Systematic Review and Meta-Regression. Arch Phys Med Rehabil 2021; 102:1801-1815. [PMID: 33460576 DOI: 10.1016/j.apmr.2020.12.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/05/2020] [Accepted: 12/08/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To quantify the effect of multiple sclerosis (MS) on spatiotemporal gait characteristics accounting for disability severity and fall classification. DATA SOURCES MEDLINE (1946-August 2018), Allied and Complementary Medicine Database (1985-2018 August), and PsycINFO (1806-August 2018) were searched for terms on MS and gait. STUDY SELECTION Dual independent screening was conducted to identify observational, cross-sectional studies that compared adults with MS grouped according to Expanded Disability Status Scale (EDSS) level or fall history, reported on spatiotemporal gait characteristics, and were published in English. The search retrieved 5891 results, of which 12 studies satisfied the inclusion criteria. DATA EXTRACTION Two authors worked independently to extract and verify data on publication details, study methodology, participant characteristics, gait outcomes, conclusions, and limitations. Risk of bias was assessed using the QualSyst critical appraisal tool. A random-effects meta-regression and meta-analysis were conducted on pooled data. DATA SYNTHESIS All studies received quality ratings of very good to excellent and collectively examined 1513 individuals with MS. With every 1-point increase in EDSS, significant changes (P<.05) were observed in gait speed (-0.12 m/s; 95% confidence interval (CI), 0.08-0.15), step length (-0.04 m; 95% CI, 0.03-0.05), step time (+0.04 seconds; 95% CI, 0.02-0.06), step time variability (+0.009 seconds; 95% CI, 0.003-0.016), stride time (+0.08 seconds; 95% CI, 0.03-0.12), cadence (-4.4 steps per minute; 95% CI, 2.3-6.4), stance phase duration (+0.8% gait cycle; 95% CI, 0.1-1.5), and double support time (+3.5% gait cycle; 95% CI, 1.5-5.4). Recent fallers exhibited an 18% (95% CI, 13%-23%) reduction in gait speed compared with nonfallers (P<.001). CONCLUSIONS This review provides the most accurate reference values to-date that can be used to assess the effectiveness of MS gait training programs and therapeutic techniques for individuals who differ on disability severity and fall classification. Some gait adaptations could be part of adopting a more cautious gait strategy and should be factored into the design of future interventions.
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Affiliation(s)
- Justin N Chee
- Faculty of Medicine, University of Toronto, Rehabilitation Sciences Institute, Toronto, Ontario; Sunnybrook Health Sciences Centre, Hurvitz Brain Sciences Program, Sunnybrook Centre for Independent Living, Toronto, Ontario; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.
| | - Bing Ye
- Faculty of Medicine, University of Toronto, Rehabilitation Sciences Institute, Toronto, Ontario; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Sarah Gregor
- Faculty of Medicine, University of Toronto, Rehabilitation Sciences Institute, Toronto, Ontario; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - David Berbrayer
- Faculty of Medicine, University of Toronto, Rehabilitation Sciences Institute, Toronto, Ontario; Sunnybrook Health Sciences Centre, Hurvitz Brain Sciences Program, Sunnybrook Centre for Independent Living, Toronto, Ontario
| | - Alex Mihailidis
- Faculty of Medicine, University of Toronto, Rehabilitation Sciences Institute, Toronto, Ontario; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto, Department of Occupational Science & Occupational Therapy, Toronto, Ontario
| | - Kara K Patterson
- Faculty of Medicine, University of Toronto, Rehabilitation Sciences Institute, Toronto, Ontario; KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto, Department of Physical Therapy, Toronto, Ontario
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Ehrhardt A, Hostettler P, Widmer L, Reuter K, Petersen JA, Straumann D, Filli L. Fall-related functional impairments in patients with neurological gait disorder. Sci Rep 2020; 10:21120. [PMID: 33273488 PMCID: PMC7712911 DOI: 10.1038/s41598-020-77973-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 11/17/2020] [Indexed: 11/08/2022] Open
Abstract
Falls are common in patients with neurological disorders and are a primary cause of injuries. Nonetheless, fall-associated gait characteristics are poorly understood in these patients. Objective, quantitative gait analysis is an important tool to identify the principal fall-related motor characteristics and to advance fall prevention in patients with neurological disorders. Fall incidence was assessed in 60 subjects with different neurological disorders. Patients underwent a comprehensive set of functional assessments including instrumented gait analysis, computerized postural assessments and clinical walking tests. Determinants of falls were assessed by binary logistic regression analysis and receiver operator characteristics (ROC). The best single determinant of fallers was a step length reduction at slow walking speed reaching an accuracy of 67.2% (ROC AUC: 0.669; p = 0.027). The combination of 4 spatio-temporal gait parameters including step length and parameters of variability and asymmetry were able to classify fallers and non-fallers with an accuracy of 81.0% (ROC AUC: 0.882; p < 0.001). These findings suggest significant differences in specific spatio-temporal gait parameters between fallers and non-fallers among neurological patients. Fall-related impairments were mainly identified for spatio-temporal gait characteristics, suggesting that instrumented, objective gait analysis is an important tool to estimate patients' fall risk. Our results highlight pivotal fall-related walking deficits that might be targeted by future rehabilitative interventions that aim at attenuating falls.
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Affiliation(s)
- Angela Ehrhardt
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.
| | - Pascal Hostettler
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Lucas Widmer
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Katja Reuter
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | | | - Dominik Straumann
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Linard Filli
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
- Swiss Center for Clinical Movement Analysis (SCMA), Balgrist Campus AG, Zurich, Switzerland
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10
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Simmons RW, Taggart TC, Thomas JD, Mattson SN, Riley EP. Gait control in children with attention-deficit/hyperactivity disorder. Hum Mov Sci 2020; 70:102584. [PMID: 32217203 DOI: 10.1016/j.humov.2020.102584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 01/10/2020] [Accepted: 01/15/2020] [Indexed: 10/25/2022]
Abstract
The current profile of gait control in children with ADHD is incomplete and predominately based on children walking forward at a self-selected pace. There are no studies of potential gait deficits in this clinical population when walking in different directions in combination with varying rates of stepping that are freely selected and entrained to an external stimulus. The purpose of the current study was to address this lack of information by assessing gait of children aged 7-17 years with (n = 17) and without (n = 26) ADHD. Participants walked forward and backward along an electronically instrumented carpet at a self-selected stepping rate and in synchrony to a metronome that dictated an increased and decreased stepping rate. Using repeated measures analysis of covariance (ANCOVA) to assess spatiotemporal gait parameters, results showed that children with ADHD exhibited a significantly exaggerated, toes 'turned out,' foot position for all walking conditions compared to typically developing children. When walking backward, children with ADHD produced an increased step width, higher stepping cadence, and increased velocity. Additionally, coefficient of variation ratios indicated that children with ADHD produced greater variability of velocity, cadence, and step time for all walking conditions, and greater variability for stride length when walking at an increased stepping rate. Results were interpreted in terms of clinical significance and practical ramifications that inform rehabilitation specialists in designing therapies that ameliorate the reported gait deficits.
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Affiliation(s)
- Roger W Simmons
- Motor Control Laboratory, School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182, United States of America.
| | - Tenille C Taggart
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, United States of America; Clinical Psychology Doctoral Program, Department of Psychology, Stony Brook University, Stony Brook, NY 11794, United States of America
| | - Jennifer D Thomas
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, United States of America
| | - Sarah N Mattson
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, United States of America
| | - Edward P Riley
- Center for Behavioral Teratology, Department of Psychology, San Diego State University, San Diego, CA 92120, United States of America
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11
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Kalron A, Menascu S, Givon U, Dolev M, Achiron A. Is the walk ratio a window to the cerebellum in multiple sclerosis? A structural magnetic resonance imaging study. Eur J Neurol 2019; 27:454-460. [PMID: 31696586 DOI: 10.1111/ene.14119] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 11/04/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Existing research studies have demonstrated a relationship between magnetic resonance imaging (MRI) neuroimaging measures and walking speed in people with multiple sclerosis (PwMS). However, to date there are no data as to the brain structures involved in gait coordination and control in PwMS. Therefore, the aim of our study was to investigate the association between walk ratio, an indicator of gait coordination, and related brain structures in PwMS. METHODS A brain MRI was performed by a 3.0-T MR scanner in conjunction with a volumetric analysis based on three-dimensional T1-weighted images. Regions of interest were volumes of the hippocampus, amygdala, putamen, caudate, pallidum, thalamus, cerebellum and the corpus callosum regions. Walking speed and walk ratio, defined as step length divided by step rate, was measured whilst walking on an electronic walkway. RESULTS In all, 343 PwMS (41.1 ± 13.4 years, 69.1% female, median Expanded Disability Status Scale 2.5) were included in the study. A significant association was found between the left cerebellum volume and walk ratio after controlling for age, gender, total cranial volume and disability; R2 = 0.379, P = 0.002. A similar association was found between the right cerebellum volume and walk ratio, R2 = 0.364, P = 0.002. No correlations were observed between walk ratio and the thalamus, basal ganglia, hippocampus, amygdala and the corpus callosum volumes. No association was found between walking speed and all brain measures. CONCLUSIONS The walk ratio should be considered when evaluating and assessing PwMS presenting with ataxia. Furthermore, it is also hypothesized that a low walk ratio indicates a lower cerebellum volume in the MS population.
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Affiliation(s)
- A Kalron
- Department of Physical Therapy, School of Health Professions, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Sagol School of Neurosciences, Tel-Aviv University, Tel-Aviv, Israel
| | - S Menascu
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel
| | - U Givon
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel
| | - M Dolev
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel
| | - A Achiron
- Sagol School of Neurosciences, Tel-Aviv University, Tel-Aviv, Israel.,Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel.,Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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The association between gait variability with the energy cost of walking depends on the fall status in people with multiple sclerosis without mobility aids. Gait Posture 2019; 74:231-235. [PMID: 31563824 DOI: 10.1016/j.gaitpost.2019.09.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 08/27/2019] [Accepted: 09/18/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND Falls, gait variability and increased energy cost of walking are common in people with multiple sclerosis (PwMS). However, no studies have as yet examined this triple association in PwMS or in other neurological populations. RESEARCH QUESTION Does a relationship exist between gait variability, falls and the energy cost of gait in PwMS? METHODS This cross sectional study included 88 PwMS (50 women), mean age 39.8 (S.D = 13.0) and mean disease duration of 6.2 (SD = 8.2) years since diagnosis. Energy expenditure during walking was collected via a portable metabolic device (COSMED K5, COSMED Srl, Roma, Italy). Gait variability was measured by an electronic walkway (GAITRite™). Participants were divided into groups based on fall history (fallers and non-fallers). Differences between groups in terms of energy expenditure measures and gait variability metrics were determined by the analysis of variance test. The relationship between gait variability and energy cost of walking was examined by the Pearson's correlation coefficient test. RESULTS Thirty-three PwMS were classified as fallers and 55 as non-fallers. Non-significant differences between groups were observed in the energy expenditure measures, including cost of walking. Fallers demonstrated higher step length variability compared with non-fallers (4.58 (S.D. = 2.42 vs. 3.40 (S.D. = 1.40); p-value = 0.005). According to the Pearson's correlation coefficient analysis, a significant relationship was found between step length variability and energy cost of walking in the non-fallers group (Rho = 0.372, P-value = 0.006) and the total group (Rho = 0.296, p-value = 0.005), but not in those PwMS with a history of falls. SIGNIFICANCE We demonstrated a significant relationship between increased gait variability and energy expenditure while walking only in MS patients without a history of falls. This is important as there is evidence of the clinical relevance of increased gait variability, poor fitness level and high risk of falling in the MS population.
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Allali G, Montembeault M, Saj A, Wong CH, Cooper-Brown LA, Bherer L, Beauchet O. Structural Brain Volume Covariance Associated with Gait Speed in Patients with Amnestic and Non-Amnestic Mild Cognitive Impairment: A Double Dissociation. J Alzheimers Dis 2019; 71:S29-S39. [DOI: 10.3233/jad-190038] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Gilles Allali
- Department of Neurology, Geneva University Hospital and University of Geneva, Switzerland
- Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA
| | - Maxime Montembeault
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Département de Psychologie, Université de Montréal, Montréal, Québec, Canada
| | - Arnaud Saj
- Department of Neurology, Geneva University Hospital and University of Geneva, Switzerland
- Département de Psychologie, Université de Montréal, Montréal, Québec, Canada
| | - Chek Hooi Wong
- Geriatric Education and Research Institute, Singapore
- Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore
| | - Liam Anders Cooper-Brown
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis – Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada
| | - Louis Bherer
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Département de Médecine, Université de Montréal, Québec, Canada
- Centre de recherche, Institut de Cardiologie de Montréal, Université de Montréal, Québec, Canada
| | - Olivier Beauchet
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis – Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada
- Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Centre of Excellence on Longevity of McGill integrated University Health Network, Quebec, Canada
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Fritz NE, Kloos AD, Kegelmeyer DA, Kaur P, Nichols-Larsen DS. Supplementary motor area connectivity and dual-task walking variability in multiple sclerosis. J Neurol Sci 2018; 396:159-164. [PMID: 30472552 DOI: 10.1016/j.jns.2018.11.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/15/2018] [Accepted: 11/09/2018] [Indexed: 01/21/2023]
Abstract
BACKGROUND Despite the prevalence of dual-task (e.g., walking while talking) deficits in people with multiple sclerosis (MS), no neuroimaging studies to date have examined neuronal networks used for dual-task processing or specific brain areas related to dual-task performance in this population. A better understanding of the relationship among underlying brain areas and dual-task performance may improve targeted rehabilitation programs. The objective of this study was to examine relationships between neuroimaging measures and clinical measures of dual-task performance, and reported falls in persons with MS. MATERIALS AND METHODS All participants completed measures of dual-task performance, a fall history, and neuroimaging on a 3 T MRI scanner. Spearman correlations were used to examine relationships among dual-task performance, falls and neuroimaging measures. RESULTS Eighteen females with relapsing-remitting MS [mean age = 45.5 ± 8.2 SD; mean symptom duration = 12.3 ± 6.7 years; Expanded Disability Status Scale median 2.25 (range 1.5-4)] participated in this study. Structural imaging measures of supplementary motor area (SMA) interhemispheric connectivity were significantly related to dual-task walking variability. CONCLUSIONS The SMA interhemispheric tract may play a role in dual-task performance. Structural neuroimaging may be a useful adjunct to clinical measures to predict performance and provide information about recovery patterns in MS. Functional recovery can be challenging to objectively report in MS; diffusion tensor imaging could show microstructural improvements and suggest improved connectivity.
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Affiliation(s)
- Nora E Fritz
- Program in Physical Therapy and Department of Neurology, Wayne State University, Detroit, MI, United States; Division of Physical Therapy, The Ohio State University, Columbus, OH, United States; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States.
| | - Anne D Kloos
- Division of Physical Therapy, The Ohio State University, Columbus, OH, United States; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
| | - Deborah A Kegelmeyer
- Division of Physical Therapy, The Ohio State University, Columbus, OH, United States; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
| | - Parminder Kaur
- School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
| | - Deborah S Nichols-Larsen
- School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
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