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Koppelmans V, Silvester B, Duff K. Neural Mechanisms of Motor Dysfunction in Mild Cognitive Impairment and Alzheimer’s Disease: A Systematic Review. J Alzheimers Dis Rep 2022; 6:307-344. [PMID: 35891638 PMCID: PMC9277676 DOI: 10.3233/adr-210065] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 05/23/2022] [Indexed: 12/20/2022] Open
Abstract
Background: Despite the prevalence of motor symptoms in mild cognitive impairment (MCI) and Alzheimer’s disease (AD), their underlying neural mechanisms have not been thoroughly studied. Objective: This review summarizes the neural underpinnings of motor deficits in MCI and AD. Methods: We searched PubMed up until August of 2021 and identified 37 articles on neuroimaging of motor function in MCI and AD. Study bias was evaluated based on sample size, availability of control samples, and definition of the study population in terms of diagnosis. Results: The majority of studies investigated gait, showing that slower gait was associated with smaller hippocampal volume and prefrontal deactivation. Less prefrontal activation was also observed during cognitive-motor dual tasking, while more activation in cerebellar, cingulate, cuneal, somatosensory, and fusiform brain regions was observed when performing a hand squeezing task. Excessive subcortical white matter lesions in AD were associated with more signs of parkinsonism, poorer performance during a cognitive and motor dual task, and poorer functional mobility. Gait and cognitive dual-tasking was furthermore associated with cortical thickness of temporal lobe regions. Most non-gait motor measures were only reported in one study in relation to neural measures. Conclusion: Cross-sectional designs, lack of control groups, mixing amnestic- and non-amnestic MCI, disregard of sex differences, and small sample sizes limited the interpretation of several studies, which needs to be addressed in future research to progress the field.
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Affiliation(s)
- Vincent Koppelmans
- Department of Psychiatry, University of Utah, SaltLake City, UT, USA
- Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - Benjamin Silvester
- Department of Psychiatry, University of Utah, SaltLake City, UT, USA
- Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - Kevin Duff
- Department of Neurology, University of Utah, SaltLake City, UT, USA
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Gait Speed and Sleep Duration Is Associated with Increased Risk of MCI in Older Community-Dwelling Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137625. [PMID: 35805289 PMCID: PMC9266270 DOI: 10.3390/ijerph19137625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/18/2022] [Accepted: 06/19/2022] [Indexed: 12/29/2022]
Abstract
This study aimed to examine the linear and nonlinear associations between sleep duration and gait speed and the risk of developing mild cognitive impairment (MCI) in community-dwelling older adults. Participants were 233 older adults who met the study inclusion criteria. The MCI diagnosis was based on medical evaluations through a clinical interview conducted by a dementia specialist. Self-reported sleep duration was evaluated using the Pittsburgh Sleep Quality Index. The usual gait speed was calculated from the time taken to walk along a 4 m walkway. Multivariate logistic regression analysis was used to calculate the odds ratio (OR) and the 95% confidence interval (95% CI) of developing MCI in relation to sleep duration and gait speed. Generalized additive models were used to examine the dose−response relationships between sleep duration, gait speed, and the risk of developing MCI. Slower gait speed (OR: 1.84, 95%; CI: 1.00−3.13) and poor sleep duration (OR: 1.76, 95%; CI: 1.00−3.35) were associated with the risk of developing MCI, compared with their optimal status. In addition, the combination of poor sleep and slower gait was associated with a higher risk of developing MCI than optimal sleep duration and gait speed (OR: 3.13, 95%; CI: 1.93−5.14). Furthermore, gait speed and sleep duration were non-linearly associated with the risk of developing MCI. These results highlight the complex interplay and synergism between sleep duration and gait abilities on the risk of developing MCI in older adults. In addition, our results suggest that slower gait speed (<1.0 m/s) and short (<330 min) and long (>480 min) sleep duration may be linked to MCI risks through underlying pathways.
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Postural disorders of neurological genesis in elderly patients: pathogenesis and features of diagnostics (literature review). ACTA BIOMEDICA SCIENTIFICA 2022. [DOI: 10.29413/abs.2022-7.2.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Walking and balance disorders in elderly patients are the most common manifestations of various diseases of the nervous system. Balance imbalance is the leading cause of injuries in the elderly, leading to a limitation of both the patient’s ability to work and communication in the social environment, which in particular cases leads to a loss of independence, reducing the quality of life. Walking disorders are an important, difficult to resolve medical and social problem. The aim of the study was to identify the physiological and clinical aspects of age-related gait disorders with an emphasis on neurological pathogenetic causes. A detailed study of modern foreign medical literature and current international clinical guidelines was carried out with further systematization of the data obtained. Falls in the elderly are a common and major factor that threatens the independence of older people. The frequency of falls increases with age. Treatment for fall injuries does not always include identifying the cause of the fall. In the elderly, loss of balance is most commonly due to multiple causes, including impending threat to the homeostatic mechanisms that maintain postural stability combined with age-related impairments in balance, gait stability, and cardiovascular function. Gait disorders are a major cause of functional impairment and morbidity in the elderly. Most gait disorders in the elderly are multifactorial and have neurological components. In developed countries, there is a trend towards aging of the population: the percentage component of the elderly part of the population is growing. It is violations of balance, stability and walking, to a large extent, that lead to the inability of the patient to provide his quality of life at a satisfactory level on his own, to disability and failure in the workplace. Early diagnosis of gait disorders can prevent premature disability and limit the independence of elderly patients. It is important to note that a history of falls is a predictor of the risk of new falls.
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Wang Z, Ren K, Li D, Lv Z, Li X, He X, Wang D, Jiang W. Assessment of Brain Function in Patients With Cognitive Impairment Based on fNIRS and Gait Analysis. Front Aging Neurosci 2022; 14:799732. [PMID: 35686022 PMCID: PMC9170988 DOI: 10.3389/fnagi.2022.799732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 04/28/2022] [Indexed: 11/16/2022] Open
Abstract
Background Early detection of mild cognitive impairment is crucial in the prevention of Alzheimer’s disease (AD). This study aims to explore the changes in gait and brain co-functional connectivity between cognitively healthy and cognitively impaired groups under dual-task walking through the functional near-infrared spectroscopy (fNIRS) and gait analysis devices. Method This study used fNIRS device and gait analysis devices to collect the data of 54 older adults. According to the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) scales, the older adults were cognitively healthy (control group) and cognitively impaired (experimental group), of which 38 were in the control group and 16 were in the experimental group. The experiment was divided into a total of three sets of task experiments: a walking-only experiment, a dual-task walking-easy (DTW-easy) experiment, and a dual-task walking-difficult (DTW-difficult) experiment. Main Result For the cognitively impaired and cognitively healthy populations, there were no significant differences in overall functional connectivity, region of interest (ROI) connection strength, and gait performance during single-task walking between the two groups.Whereas the performances of DTW differed significantly from the single-task walking in terms of between-group variability of functional connectivity strength change values, and ROI connection strength change values in relation to the dual-task cost of gait. Finally, the cognitively impaired group was significantly more affected by DTW-difficult tasks than the cognitively healthy group. Conclusion This study provides a new approach to assist in the diagnosis of people with cognitive impairment and provides a new research pathway for the identification of cognitive impairment.
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Affiliation(s)
- Zehua Wang
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ke Ren
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Deyu Li
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Zeping Lv
- National Research Center for Rehabilitation Technical Aids, Beijing, China
| | - Xiang Li
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, China
| | | | - Daifa Wang
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- *Correspondence: Daifa Wang Wenyu Jiang
| | - Wenyu Jiang
- Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- *Correspondence: Daifa Wang Wenyu Jiang
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Gait Slip-Induced Fall-Type Assessment Based on Regular Gait Characteristics in Older Adults. J Appl Biomech 2022; 38:148-154. [PMID: 35483699 DOI: 10.1123/jab.2021-0337] [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: 10/27/2021] [Revised: 01/25/2022] [Accepted: 03/03/2022] [Indexed: 11/18/2022]
Abstract
Older adults could experience split falls or feet-forward falls following an unexpected slip in gait due to different neuromuscular vulnerabilities, and different intervention strategies would be required for each type of faller. Thus, this study aimed to investigate the key factors affecting the fall types based on regular gait pattern. A total of 105 healthy older adults who experienced a laboratory-induced slip and fall were included. Their natural walking trial immediately prior to the novel slip trial was analyzed. To identify the factors related to fall type, gait characteristics and demographic factors were determined using univariate logistic regression, and then stepwise logistic regression was conducted to assess the slip-induced fall type based on these factors. The best fall-type prediction model involves gait speed and recovery foot angular velocity, which could predict 70.5% of feet-forward falls and 86.9% of split falls. Body mass index was also a crucial fall-type prediction with an overall prediction accuracy of 70.5%. Along with gait parameters, 84.1% of feet-forward falls and 78.7% of split falls could be predicted. The findings in this study revealed the determinators related to fall types, which enhances our knowledge of the mechanism associated to slip-induced fall and would be helpful for the development of tailored interventions for slip-induced fall prevention.
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Melo LM, Ansai JH, Ferreira ACVG, Silva DCP, Vale FAC, Takahashi ACM, Andrade LP. Correlation between changes in Timed Up and Go performance and cognition in older people with mild cognitive impairment: A longitudinal study. Clin Biomech (Bristol, Avon) 2022; 94:105620. [PMID: 35325714 DOI: 10.1016/j.clinbiomech.2022.105620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 02/05/2022] [Accepted: 03/08/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Compare changes in performance on subtasks of the Timed Up and Go test over 32 months in older adults with and without mild cognitive impairment; analyze the correlation between frontal cognitive functions at baseline and changes in Timed Up and Go subtasks over time. METHODS A longitudinal study was conducted involving 31 older adults (15 with and 16 without cognitive impairment). Functional mobility was assessed at both evaluations using an adapted version of the Timed Up and Go test and the Qualisys motion system. The test was divided into five subtasks: sit-to-stand, walking forward, turn-to-walk, walking back and turn-to-sit. Cognition was assessed at baseline using the Frontal Assessment Battery and the Clock Drawing Test. FINDINGS Significant differences in changes in the sit-to-stand subtask over time were found between groups. The difference in the time required to conclude this subtask was greater in the older adults with cognitive impairment. However, the difference in kinematic variables (peak trunk speed and range of motion) was greater in the group without cognitive impairment. Strong and moderate correlations were found between frontal cognitive functions and changes in Timed Up and Go subtasks, especially those involving transitions (sit-to-stand, turn-to-walk and turn-to-sit) in both groups. INTERPRETATION Motor intervention protocols should incorporate the sit-to-stand subtask in older adults with mild cognitive impairment. Moreover, changes in more complex subtasks seem to be related to frontal cognitive performance at baseline. Therefore, treatments that combine motor and cognitive functions should be administered to older adults regardless of cognitive impairment.
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Affiliation(s)
- Laura M Melo
- Postgraduate Program in Physical Therapy, Physical Therapy Department, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Juliana H Ansai
- Postgraduate Program in Gerontology, Gerontology Department, Federal University of São Carlos, São Carlos, São Paulo, Brazil; Gerontology Department, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Ana C V G Ferreira
- Postgraduate Program in Physical Therapy, Physical Therapy Department, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Danielle C P Silva
- Postgraduate Program in Physical Therapy, Physical Therapy Department, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Francisco A C Vale
- Department of Medicine, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Anielle C M Takahashi
- Postgraduate Program in Physical Therapy, Physical Therapy Department, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Larissa P Andrade
- Postgraduate Program in Physical Therapy, Physical Therapy Department, Federal University of São Carlos, São Carlos, São Paulo, Brazil.
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Sigurdsson HP, Yarnall AJ, Galna B, Lord S, Alcock L, Lawson RA, Colloby SJ, Firbank MJ, Taylor J, Pavese N, Brooks DJ, O'Brien JT, Burn DJ, Rochester L. Gait‐Related Metabolic Covariance Networks at Rest in Parkinson's Disease. Mov Disord 2022; 37:1222-1234. [PMID: 35285068 PMCID: PMC9314598 DOI: 10.1002/mds.28977] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 11/09/2022] Open
Abstract
Background Gait impairments are characteristic motor manifestations and significant predictors of poor quality of life in Parkinson's disease (PD). Neuroimaging biomarkers for gait impairments in PD could facilitate effective interventions to improve these symptoms and are highly warranted. Objective The aim of this study was to identify neural networks of discrete gait impairments in PD. Methods Fifty‐five participants with early‐stage PD and 20 age‐matched healthy volunteers underwent quantitative gait assessment deriving 12 discrete spatiotemporal gait characteristics and [18F]‐2‐fluoro‐2‐deoxyglucose‐positron emission tomography measuring resting cerebral glucose metabolism. A multivariate spatial covariance approach was used to identify metabolic brain networks that were related to discrete gait characteristics in PD. Results In PD, we identified two metabolic gait‐related covariance networks. The first correlated with mean step velocity and mean step length (pace gait network), which involved relatively increased and decreased metabolism in frontal cortices, including the dorsolateral prefrontal and orbital frontal, insula, supplementary motor area, ventrolateral thalamus, cerebellum, and cuneus. The second correlated with swing time variability and step time variability (temporal variability gait network), which included relatively increased and decreased metabolism in sensorimotor, superior parietal cortex, basal ganglia, insula, hippocampus, red nucleus, and mediodorsal thalamus. Expression of both networks was significantly elevated in participants with PD relative to healthy volunteers and were not related to levodopa dosage or motor severity. Conclusions We have identified two novel gait‐related brain networks of altered glucose metabolism at rest. These gait networks could serve as a potential neuroimaging biomarker of gait impairments in PD and facilitate development of therapeutic strategies for these disabling symptoms. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society
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Affiliation(s)
- Hilmar P. Sigurdsson
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
| | - Alison J. Yarnall
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
- Newcastle upon Tyne Hospitals NHS Foundation Trust Newcastle upon Tyne United Kingdom
| | - Brook Galna
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
- Health Futures Institute Murdoch University Perth Australia
| | - Sue Lord
- Auckland University of Technology Auckland New Zealand
| | - Lisa Alcock
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
| | - Rachael A. Lawson
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
| | - Sean J. Colloby
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
| | - Michael J. Firbank
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
| | - John‐Paul Taylor
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
| | - Nicola Pavese
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
- Department of Nuclear Medicine and PET Aarhus University Hospital Aarhus Denmark
| | - David J. Brooks
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
- Department of Nuclear Medicine and PET Aarhus University Hospital Aarhus Denmark
| | - John T. O'Brien
- Department of Psychiatry University of Cambridge Cambridge United Kingdom
| | - David J. Burn
- Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
| | - Lynn Rochester
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne United Kingdom
- Newcastle upon Tyne Hospitals NHS Foundation Trust Newcastle upon Tyne United Kingdom
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Ide R, Ota M, Hada Y, Watanabe S, Takahashi T, Tamura M, Nemoto K, Arai T. Dynamic balance deficit and the neural network in Alzheimer's disease and mild cognitive impairment. Gait Posture 2022; 93:252-258. [PMID: 35227962 DOI: 10.1016/j.gaitpost.2022.01.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 01/16/2022] [Accepted: 01/23/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) exhibit balance deficits. Although only a few studies have evaluated the relationship between the brain images and balance indices. In this study, we measured balance indices, including the index of postural stability (IPS) and assessed the relationship between the brain images and their clinical motor and cognitive functional features. METHODS The study included patients with MCI (N = 14) and patients with AD (N = 19). The primary outcome was IPS under a visual block condition and/or a proprioception block condition. In addition, 9 MCI and 8 AD patients underwent a 1.5-Tesla (1.5-T) Magnetic Resonance Imaging (MRI) scan, and the relationships between the MRI parameters and the balance indices were evaluated. RESULTS The IPS score was significantly lower in the AD group than the MCI group, but only under the closed eyes/hard surface condition. In terms of MRI, there was a significant positive correlation between the IPS and the regional betweenness centrality in the left hippocampal region. CONCLUSIONS The finding of a significantly lower IPS score under the closed eyes/hard surface condition in AD than in MCI cases suggests that the vestibular and/or proprioceptive systems were more severely impaired in AD than MCI cases. The results suggest that a dynamic balance disturbance due to deficits of the vestibular hippocampal pathway may be a useful marker for the diagnosis of MCI and detection of disease progression from MCI to AD.
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Affiliation(s)
- Ryotaro Ide
- Doctoral Program in Medical Sciences, Graduate School of Comprehensive Human Science, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan; Department of Rehabilitation Medicine, University of Tsukuba Hospital, Amakubo, Tsukuba, Ibaraki, Japan
| | - Miho Ota
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan.
| | - Yasushi Hada
- Department of Rehabilitation Medicine, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan
| | | | - Takumi Takahashi
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan
| | - Masashi Tamura
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan
| | - Kiyotaka Nemoto
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan
| | - Tetsuaki Arai
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan
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Lindh-Rengifo M, Jonasson SB, Ullén S, Stomrud E, Palmqvist S, Mattsson-Carlgren N, Hansson O, Nilsson MH. Components of gait in people with and without mild cognitive impairment. Gait Posture 2022; 93:83-89. [PMID: 35101749 DOI: 10.1016/j.gaitpost.2022.01.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/05/2022] [Accepted: 01/14/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Several objective gait parameters are associated with cognitive impairment, but there is limited knowledge of gait models in people with mild cognitive impairment (MCI). RESEARCH QUESTION How can 18 objective gait characteristics be used to define different components of gait in people with MCI (with suspected incipient neurocognitive disorder) and cognitively unimpaired people (CU), respectively? METHODS Spatiotemporal gait data were collected by using an electronic walkway (GAITRite®), i.e. assessments in comfortable gait speed. Using cross-sectional gait data, two principal component analyses (PCA) were performed (varimax rotation) to define different components of gait in people with MCI (n = 114) and CU (n = 219), respectively, from the BioFINDER-2 study. RESULTS Both PCAs produced four components, here called Variability, Pace/Stability, Rhythm and Asymmetry. Total variance explained was 81.0% (MCI) versus 80.3% (CU). The Variability component explained the largest amount of variance (about 25%) in both groups. The highest loading gait parameter was the same for both groups in three out of four components, i.e. step velocity variability (Variability), mean step length (Pace/Stability) and mean step time (Rhythm). In the asymmetry component, stance time asymmetry (MCI) and swing time asymmetry (CU) loaded the highest. SIGNIFICANCE The gait components seem similar in people with and without MCI, although there were some differences. This study may aid the identification of gait variables that represent different components of gait. Gait parameters such as step velocity variability, mean step length, mean step time as well as swing and stance time asymmetry could serve as interesting core variables of different gait components in future research in people with MCI (with suspected incipient neurocognitive disorder) and CU. However, the selection of gait variables depends on the purpose. It needs to be noted that assessment of variability measures requires more advanced technology than is usually used in the clinic.
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Affiliation(s)
- Magnus Lindh-Rengifo
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
| | | | - Susann Ullén
- Clinical Studies Sweden - Forum South, Skåne University Hospital, Lund, Sweden
| | - Erik Stomrud
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Sebastian Palmqvist
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Department of Neurology, Skåne University Hospital, Lund, Sweden; Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | - Oskar Hansson
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Maria H Nilsson
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
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Gaillardin F, Bier JC, De Breucker S, Baudry S. Unraveling the Cognitive-Motor Interaction in Individuals With Amnestic Mild Cognitive Impairment. J Neurol Phys Ther 2022; 46:18-25. [PMID: 34789652 DOI: 10.1097/npt.0000000000000386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE This study aimed to determine whether increasing the contribution of executive functions worsens dual-task performance in individuals with amnestic mild cognitive impairment (aMCI). METHODS Fourteen individuals with aMCI (mean [SD]: 74 [4] years) and 19 control adults (71 [5] years) recalled a list of letters in the order of presentation (SPAN-O) or in alphabetic order (SPAN-A) while ascending or descending a 3-step staircase. Dual-task cost (DTC) represented the average decrement of motor and cognitive performances during dual tasks, with greater DTC indicating worse performance. RESULTS SPAN-A (P < 0.001) and stair descent (P = 0.023) increased the DTC in both groups compared with SPAN-O and stair ascent. Furthermore, individuals with aMCI had a greater DTC (93.4 [41.2]%) than the control group (48.3 [27.9]%) for SPAN-A (P < 0.001). Dual-task cost was also greater in descent (76.6 [42.1]%) than ascent (64.0 [34.5]%) in individuals with aMCI (P = 0.024) but not in the control group (P = 0.99). Significant negative partial correlations (β < -0.39; P < 0.05) were found between Montreal Cognitive Assessment score and DTC, while controlling for age and physical function. DISCUSSION AND CONCLUSIONS A greater DTC in individuals with aMCI when the cognitive task requires working memory (SPAN-A) or during complex locomotor task (descent) suggests that aMCI impedes the capacity to perform 2 tasks simultaneously when higher-order cognitive processes are challenged. Furthermore, a greater DTC in our dual-task situations appears to reflect cognitive decline, as assessed by the Montreal Cognitive Assessment score. Overall, this study indicates that increasing the contribution of executive functions worsens the cognitive-motor interaction in individuals with aMCI.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1 available at: http://links.lww.com/JNPT/A375).
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Affiliation(s)
- Florence Gaillardin
- Laboratory of Applied Biology and Research Unit in Applied Neurophysiology (LABNeuro), Faculty for Motor Sciences, Université Libre de Bruxelles (ULB), Brussels, Belgium (F.G., S.B.); and Departments of Cognitive and Clinical Neuropsychology (F.G.), Neurology (J.-C.B.), and Geriatrics (S.D.B.), Erasme Hospital, Brussels, Belgium
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Arcolin I, Godi M, Corna S. Which model best assesses gait in healthy elderly? A confirmatory factor analysis of existing conceptual gait models. Gait Posture 2022; 91:94-98. [PMID: 34656962 DOI: 10.1016/j.gaitpost.2021.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 09/29/2021] [Accepted: 10/04/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Various conceptual gait models have been created with exploratory factor analysis to assess gait performance in healthy individuals or patients with orthopaedic or neurological diseases. However, a direct comparison between these models, to determine which is best for assessing gait in healthy elderly subjects, has never been performed. Confirmatory factor analysis is a statistical technique which allows to compare the structure of these models and to evaluate their validity and reliability. RESEARCH QUESTION Which of the current models for evaluating gait shows the best construct, convergent and discriminant validity and reliability when replicated in a sample of healthy elderly subjects? METHODS 92 healthy elderly subjects (aged 73.3 ± 6.8 years) were enrolled. Participants were instructed to walk on a baropodometric walkway; gait variables were then extracted and analyzed according to 8 different gait models (published between 2007 and 2019). Correlation between variables of each model were investigated. The number of factors to include for each model was assessed with different criteria of principal component analysis. The construct validity of the gait models was assessed in terms of goodness of fit indexes through confirmatory factor analysis. Convergent and discriminant validity and reliability of the models were also assessed. RESULTS Of the models considered, only our model previously created for patients with Parkinson's Disease reached convergence, with an excellent fit in all indexes (χ2 = 18.34, df = 13, p = 0.15, RMSEA = 0.06 (95%CI = 0.00-0.13), CFI = 0.98, TLI = 0.96, SRMR = 0.05). The model showed an acceptable convergent validity. The three factors resulted to be mutually independent (correlations among factors <0.85) and reliable. Most of the other seven considered models presented a high number (12.5-65%) of highly inter-related variables and more factors than necessary. SIGNIFICANCE Future studies can use our gait model as a framework for clinical practice or research.
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Affiliation(s)
- Ilaria Arcolin
- Division of Physical Medicine and Rehabilitation, ICS Maugeri SPA SB, IRCCS, Institute of Veruno, Italy.
| | - Marco Godi
- Division of Physical Medicine and Rehabilitation, ICS Maugeri SPA SB, IRCCS, Institute of Veruno, Italy.
| | - Stefano Corna
- Division of Physical Medicine and Rehabilitation, ICS Maugeri SPA SB, IRCCS, Institute of Veruno, Italy.
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Ramírez F, Gutiérrez M. Dual-Task Gait as a Predictive Tool for Cognitive Impairment in Older Adults: A Systematic Review. Front Aging Neurosci 2021; 13:769462. [PMID: 35002676 PMCID: PMC8740025 DOI: 10.3389/fnagi.2021.769462] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/06/2021] [Indexed: 01/21/2023] Open
Abstract
The use of the dual-task model as a cognitive-motor interface has been extensively investigated in cross-sectional studies as a training task in cognitive impairment. However, few existing longitudinal studies prove the usefulness of this tool as a clinical marker of cognitive impairment in older people. What is the evidence in prospective studies about dual-task gait as a predictor of cognitive impairment in older adults? This study aims to review and discuss the current state of knowledge in prospective studies on the use of dual-task gait as a predictive tool for cognitive impairment in older adults. The methodology used was a systematic review, according to the PRISMA criteria for the search, summarize and report. A search in 3 databases (Pubmed, Web of Science, and Scopus) was carried out until April 2021. The search terms used were: "(gait OR walking) AND (cognitive decline) AND (dual-task) AND (follow-up OR longitudinal OR long-term OR prospective OR cohort OR predict)." We included prospective research articles with older people with cognitive evaluation at the beginning and the end of the follow-up and dual-task gait paradigm as initial evaluation associated with the presentation of cognitive impairment prediction using any dual-task gait parameters. After exclusion criteria, 12 studies were reviewed. The results indicate that eight studies consider dual-task gait parameters a useful cognitive-motor tool, finding that some of the evaluated parameters of dual-task gait significantly correlate with cognitive impairment over time. The most promising DT parameters associated with cognitive impairment prediction seem to be gait speed, speed cost, DT time, numbers of words during DT, among others. In sum, this study reviews the variety of dual-task gait parameters and their relevance as a simple tool for early cognitive impairment screening, opening a diagnostic window for the screening of cognitive impairment in older people.
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Affiliation(s)
- Felipe Ramírez
- Programa Magíster en Kinesiología Gerontológica, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Myriam Gutiérrez
- Escuela de Kinesiología, Facultad de Ciencias de la Salud, Universidad de Las Américas, Santiago, Chile
- Centro de Estudio del Movimiento Humano, Escuela de Kinesiología, Facultad de Odontología y Salud, Universidad Diego Portales, Santiago, Chile
- Unidad de Cerebro Saludable, Hospital Clínico Universidad de Chile, Santiago, Chile
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Gorecka MM, Vasylenko O, Waterloo K, Rodríguez-Aranda C. Assessing a Sensory-Motor-Cognition Triad in Amnestic Mild Cognitive Impairment With Dichotic Listening While Walking: A Dual-Task Paradigm. Front Aging Neurosci 2021; 13:718900. [PMID: 34867267 PMCID: PMC8633416 DOI: 10.3389/fnagi.2021.718900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/14/2021] [Indexed: 11/18/2022] Open
Abstract
A contemporary topic in aging research relates to the significance of cognitive changes proper to mild cognitive impairment (MCI) to higher risk of falls and gait deteriorations. The present study addresses this question in the amnestic type of MCI (aMCI) by examining a triad of interrelated comorbidities occurring in the MCI condition: attentional impairments, hearing loss and gait disturbances. To this end, we applied a dichotic listening (DL) test during over-ground walking. DL assesses spontaneous and lateralized auditory attention in three conditions (i.e., free report or Non-forced (NF), Forced-Right (FR) ear and Forced-Left (FL) ear). Earlier reports suggest that this dual-task paradigm evoke asymmetric gait effects on healthy controls, which are moderated by degree of hearing loss. Therefore, the aim of the present study was to evaluate the effects of DL on bilateral (data from both limbs) and lateralized (each limb separately) gait outcomes in a group of forty-three aMCI participants (mean = 71.19) and fifty-two healthy older controls (mean = 70.90) by using hearing loss as a covariate in all analyses. Results showed the aMCI group presented overall compromised gait parameters, especially higher gait variability in all DL conditions during lateralized attentional control. These findings were observed bilaterally, and no lateralized effects on gait were observed. Only after controlling for hearing acuity, gait asymmetries on step length variability emerged almost exclusively in healthy controls. It was concluded that hearing loss in the aMCI group together with higher attentional impairments preclude aMCI individuals to properly execute DL and therefore, they do not display gait asymmetries. The present data demonstrate that varied demands on attentional control dependent on hearing acuity affects gait negatively in healthy older adults and aMCI individuals in very different ways. The appearance of asymmetric effects seems to be a perturbation related to normal aging, while the lack of asymmetries but exaggerated gait variability characterizes aMCI. The present findings show the intricate interplay of sensory, cognitive, and motor deteriorations in different group of older adults, which stresses the need of addressing co-occurring comorbidities behind gait perturbations in individuals prone to develop a dementia state.
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Affiliation(s)
- Marta Maria Gorecka
- Department of Psychology, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromsø, Norway
| | - Olena Vasylenko
- Department of Psychology, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromsø, Norway
| | - Knut Waterloo
- Department of Psychology, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromsø, Norway.,Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Claudia Rodríguez-Aranda
- Department of Psychology, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromsø, Norway
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Screening recall in older cancer survivors detects differences in balance and mobility. Support Care Cancer 2021; 30:2605-2612. [PMID: 34812954 DOI: 10.1007/s00520-021-06705-9] [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: 05/19/2021] [Accepted: 11/16/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE Cognitive impairments have been reported by up to two-thirds of cancer survivors whose primary cancer did not occur in the central nervous system. Physical impairments as sequelae of cancer-related cognitive impairment (CRCI) have not been well described in previous studies. Furthermore, there is scarcity of literature describing differences among physical performance in those with and without CRCI. The purpose of this study is to examine the differences in physical function of older cancer survivors based on cognitive ability to determine if physical performance differs when different cognitive screening measures are employed. METHODS Adults age 65 + with a history of cancer from the 2010 Health and Retirement Study (n = 1,953) were assigned to groups according to their cognitive ability. Between-group demographic, mobility, and cognitive differences were analyzed using chi-squared and t tests. Recall and orientation were used as cognitive variables, and physical performance outcomes included gait speed, balance, and grip strength. RESULTS Respondents with Low Recall had more impaired balance (semi-tandem, tandem) (p < .05) and slower gait speeds (p < .05). Respondents that were Not-Oriented had slower gait speed (p < .05). Between-group differences in demographics were found by recall and orientation groups. CONCLUSIONS Impairments in balance and gait speed are able to be detected when recall is screened in a population of older cancer survivors. When assessing how physical mobility is related to fall risk, a screen of cognition should go beyond just orientation.
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Miyazaki T, Kiyama R, Nakai Y, Kawada M, Takeshita Y, Araki S, Makizako H. Relationships between Gait Regularity and Cognitive Function, including Cognitive Domains and Mild Cognitive Impairment, in Community-Dwelling Older People. Healthcare (Basel) 2021; 9:1571. [PMID: 34828617 PMCID: PMC8620724 DOI: 10.3390/healthcare9111571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 11/15/2021] [Accepted: 11/17/2021] [Indexed: 11/16/2022] Open
Abstract
The aim of this cross-sectional study was to examine the correlations between gait regularity, cognitive functions including cognitive domains, and the mild cognitive impairment (MCI) in community-dwelling older people. This study included 463 older adults (63.4% women, mean age: 74.1), and their step and stride regularity along the three-axis components was estimated from trunk acceleration, which was measured by inertial measurement units during a comfortable gait. Four aspects of cognitive function were assessed using a tablet computer: attention, executive function, processing speed, and memory, and participants were classified into those with or without MCI. The vertical component of stride and step regularity was associated with attention and executive function (r = -0.176--0.109, p ≤ 0.019), and processing speed (r = 0.152, p < 0.001), after it was adjusted for age and gait speed. The low vertical component of step regularity was related to the MCI after it was adjusted for covariates (OR 0.019; p = 0.016). The results revealed that cognitive function could affect gait regularity, and the vertical component of gait regularity, as measured by a wearable sensor, could play an important role in investigating cognitive decline in older people.
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Affiliation(s)
- Takasuke Miyazaki
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima 891-0175, Japan; (T.M.); (Y.N.); (M.K.); (S.A.); (H.M.)
- Department of Rehabilitation, Tarumizu Municipal Medical Center, Tarumizu Central Hospital, Kagoshima 891-2124, Japan;
| | - Ryoji Kiyama
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima 891-0175, Japan; (T.M.); (Y.N.); (M.K.); (S.A.); (H.M.)
| | - Yuki Nakai
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima 891-0175, Japan; (T.M.); (Y.N.); (M.K.); (S.A.); (H.M.)
- Department of Mechanical Systems Engineering, Daiichi Institute of Technology, Kagoshima 899-4395, Japan
| | - Masayuki Kawada
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima 891-0175, Japan; (T.M.); (Y.N.); (M.K.); (S.A.); (H.M.)
| | - Yasufumi Takeshita
- Department of Rehabilitation, Tarumizu Municipal Medical Center, Tarumizu Central Hospital, Kagoshima 891-2124, Japan;
- Graduate School of Health Sciences, Kagoshima University, Kagoshima 891-0175, Japan
| | - Sota Araki
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima 891-0175, Japan; (T.M.); (Y.N.); (M.K.); (S.A.); (H.M.)
| | - Hyuma Makizako
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima 891-0175, Japan; (T.M.); (Y.N.); (M.K.); (S.A.); (H.M.)
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Jeanvoine H, Labriffe M, Tannou T, Navasiolava N, Ter Minassian A, Girot JB, Leiber LM, Custaud MA, Annweiler C, Dinomais M. Specific age-correlated activation of top hierarchical motor control areas during gait-like plantar stimulation: An fMRI study. Hum Brain Mapp 2021; 43:833-843. [PMID: 34738281 PMCID: PMC8720193 DOI: 10.1002/hbm.25691] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 10/09/2021] [Accepted: 10/11/2021] [Indexed: 12/26/2022] Open
Abstract
A better understanding of gait disorders that are associated with aging is crucial to prevent adverse outcomes. The functional study of gait remains a thorny issue due to technical constraints inherent to neuroimaging procedures, as most of them require to stay supine and motionless. Using an MRI‐compatible system of boots reproducing gait‐like plantar stimulation, we investigated the correlation between age and brain fMRI activation during simulated gait in healthy adults. Sixty‐seven right‐handed healthy volunteers aged between 20 and 77 years old (49.2 ± 18.0 years; 35 women) were recruited. Two paradigms were assessed consecutively: (a) gait‐like plantar stimulation and (b) chaotic and not gait‐related plantar stimulation. Resulting statistical parametric maps were analyzed with a multiple‐factor regression that included age and a threshold determined by Monte‐Carlo simulation to fulfill a family‐wise error rate correction of p < .05. In the first paradigm, there was an age‐correlated activation of the right pallidum, thalamus and putamen. The second paradigm showed an age‐correlated deactivation of both primary visual areas (V1). The subtraction between results of the first and second paradigms showed age‐correlated activation of the right presupplementary motor area (Brodmann Area [BA] 6) and right mid‐dorsolateral prefrontal cortex (BA9‐10). Our results show age‐correlated activity in areas that have been associated with the control of gait, highlighting the relevance of this simulation model for functional gait study. The specific progressive activation of top hierarchical control areas in simulated gait and advancing age corroborate a progressive loss of automation in healthy older adults.
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Affiliation(s)
- Henry Jeanvoine
- Department of Radiology, Angers University Hospital, University of Angers, Angers, France
| | - Matthieu Labriffe
- Department of Radiology, Angers University Hospital, University of Angers, Angers, France.,Laboratoire Angevin de Recherche en Ingénierie des Systèmes, EA7315, University of Angers, Angers, France
| | - Thomas Tannou
- Department of Geriatrics, Besançon University Hospital, University of Franche-Comté, Besançon, France.,Integrative and Clinical Neurosciences, EA 481, University of Franche-Comté, Besançon, France.,Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montréal, Canada
| | - Nastassia Navasiolava
- Clinical Research Center, Angers University Hospital, University of Angers, Angers, France
| | - Aram Ter Minassian
- Laboratoire Angevin de Recherche en Ingénierie des Systèmes, EA7315, University of Angers, Angers, France.,Department of Anesthesia and Critical Care, Angers University Hospital, Angers, France
| | - Jean-Baptiste Girot
- Department of Radiology, Angers University Hospital, University of Angers, Angers, France.,Laboratoire Angevin de Recherche en Ingénierie des Systèmes, EA7315, University of Angers, Angers, France
| | - Louis-Marie Leiber
- Department of Radiology, Angers University Hospital, University of Angers, Angers, France.,Laboratoire Angevin de Recherche en Ingénierie des Systèmes, EA7315, University of Angers, Angers, France
| | - Marc-Antoine Custaud
- Clinical Research Center, Angers University Hospital, University of Angers, Angers, France.,Laboratoire de Biologie Neuro-Vasculaire et Mitochondriale Intégrée, UMR CNRS 6214 INSERM U1083, University of Angers, Angers, France
| | - Cédric Annweiler
- Department of Neuroscience, Division of Geriatric Medicine and Memory Clinic-Angers University Hospital, UPRES EA 4638-University of Angers, Angers, France.,Department of Medical Biophysics, Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Mickaël Dinomais
- Laboratoire Angevin de Recherche en Ingénierie des Systèmes, EA7315, University of Angers, Angers, France.,Department of Physical and Rehabilitation Medicine, Angers University Hospital, University of Angers, Angers, France
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Godi M, Arcolin I, Giardini M, Corna S, Schieppati M. A pathophysiological model of gait captures the details of the impairment of pace/rhythm, variability and asymmetry in Parkinsonian patients at distinct stages of the disease. Sci Rep 2021; 11:21143. [PMID: 34707168 PMCID: PMC8551236 DOI: 10.1038/s41598-021-00543-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/05/2021] [Indexed: 01/15/2023] Open
Abstract
Locomotion in people with Parkinson' disease (pwPD) worsens with the progression of disease, affecting independence and quality of life. At present, clinical practice guidelines recommend a basic evaluation of gait, even though the variables (gait speed, cadence, step length) may not be satisfactory for assessing the evolution of locomotion over the course of the disease. Collecting variables into factors of a conceptual model enhances the clinical assessment of disease severity. Our aim is to evaluate if factors highlight gait differences between pwPD and healthy subjects (HS) and do it at earlier stages of disease compared to single variables. Gait characteristics of 298 pwPD and 84 HS able to walk without assistance were assessed using a baropodometric walkway (GAITRite®). According to the structure of a model previously validated in pwPD, eight spatiotemporal variables were grouped in three factors: pace/rhythm, variability and asymmetry. The model, created from the combination of three factor scores, proved to outperform the single variables or the factors in discriminating pwPD from HS. When considering the pwPD split into the different Hoehn and Yahr (H&Y) stages, the spatiotemporal variables, factor scores and the model showed that multiple impairments of gait appear at H&Y stage 2.5, with the greatest difference from HS at stage 4. A contrasting behavior was found for the asymmetry variables and factor, which showed differences from the HS already in the early stages of PD. Our findings support the use of factor scores and of the model with respect to the single variables in gait staging in PD.
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Affiliation(s)
- Marco Godi
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy
| | - Ilaria Arcolin
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy.
| | - Marica Giardini
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy
| | - Stefano Corna
- Division of Physical Medicine and Rehabilitation, Scientific Institute of Veruno, Istituti Clinici Scientifici Maugeri IRCCS, 28010, Gattico-Veruno, NO, Italy
| | - Marco Schieppati
- Scientific Institute of Pavia, Istituti Clinici Scientifici Maugeri IRCCS, 27100, Pavia, Italy
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Prevalence of cognitive frailty among community-dwelling older adults: A systematic review and meta-analysis. Int J Nurs Stud 2021; 125:104112. [PMID: 34758429 DOI: 10.1016/j.ijnurstu.2021.104112] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 10/02/2021] [Accepted: 10/11/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The aim of this systematic review and meta-analysis was to investigate the pooled prevalence of cognitive frailty among community-dwelling older adults and provide evidence-based support for policy-makers planning health and social care policies. DESIGN A systematic review and meta-analysis. METHODS PubMed, Web of Science, Embase and the Cochrane Library were systematically searched from their inception to December 10, 2020. Descriptive studies (cross-sectional studies or population-based longitudinal studies) and cohort studies were available. Participants were community-dwelling older adults aged 60 years and above. Two researchers independently screened the literature, extracted the data and evaluated the quality of the included studies. All statistical analyses were conducted using Stata 15.0. RESULTS We screened 2815 records, among which 24 studies met the inclusion criteria and were included in the review. The pooled prevalence of cognitive frailty was 9% (95% CI: 8%-11%, I2 = 99.3%). The results of the subgroup analysis showed that the pooled prevalence of cognitive frailty was 11% (95% CI: 9%-14%) in men and 15% (95% CI: 11%-19%) in women. The pooled prevalence of cognitive frailty based on the descriptive studies and cohort studies was 7% (95% CI: 5%-9%) and 17% (95% CI: 11%-22%), respectively. The pooled estimates of cognitive frailty prevalence were 6% (95% CI: 4%-8%) from 2012 to 2017 and 11% (95% CI: 9%-14%) from 2018 to 2020. CONCLUSIONS This systematic review analyzed the available literature and revealed that the pooled prevalence of cognitive frailty among community-dwelling older adults was 9%. The stratified analysis showed that the prevalence of cognitive frailty was higher in older women. In addition, the prevalence has increased in recent years, which has important implications for adapting health and social care systems.
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Brain Activity in the Prefrontal Cortex during Cognitive Tasks and Dual Tasks in Community-Dwelling Elderly People with Pre-Frailty: A Pilot Study for Early Detection of Cognitive Decline. Healthcare (Basel) 2021; 9:healthcare9101250. [PMID: 34682930 PMCID: PMC8536000 DOI: 10.3390/healthcare9101250] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/13/2021] [Accepted: 09/19/2021] [Indexed: 12/01/2022] Open
Abstract
We aimed to detect brain abnormalities during cognitive and motor tasks in older individuals with pre-frailty, as this could prevent dementia. Sixty elderly participants (mean age: 76.3 years; 27 healthy and 33 with pre-frailty) were included, and their motor function, cognitive function, and dual-task abilities (gait with calculation and while carrying a ball) were evaluated. Total hemoglobin (t-Hb) was measured using functional near-infrared spectroscopy (fNIRS) during tasks and resting periods. The pre-frailty group had a slightly lower gait speed than the healthy group, but there was no significant difference in cognitive function. In the pre-frailty group, the t-Hb values during the normal gait and cognitive tasks were higher than the resting value in the right prefrontal cortex, while in the healthy group, only the word frequency task (WFT) was higher. Furthermore, in the WFT, the t-Hb values were significantly lower in the pre-frailty group than in the healthy group. The results showed that pre-frail subjects had lower brain activation during the WFT in the right prefrontal cortex and excessive activity during walking, even without a noticeable cognitive decline. The differences in cerebral blood flow under the pre-frailty conditions may be a clue to detecting cognitive decline earlier.
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Li F, Harmer P, Eckstrom E, Ainsworth BE, Fitzgerald K, Voit J, Chou LS, Welker FL, Needham S. Efficacy of exercise-based interventions in preventing falls among community-dwelling older persons with cognitive impairment: is there enough evidence? An updated systematic review and meta-analysis. Age Ageing 2021; 50:1557-1568. [PMID: 34120175 PMCID: PMC8437077 DOI: 10.1093/ageing/afab110] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Indexed: 12/11/2022] Open
Abstract
Objective Exercise prevents falls in the general older population, but evidence is inconclusive for older adults living with cognitive impairment. We performed an updated systematic review and meta-analysis to assess the potential effectiveness of interventions for reducing falls in older persons with cognitive impairment. Methods PubMed, EMBASE, CINAHL, Scopus, CENTRAL and PEDro were searched from inception to 10 November 2020. We included randomised controlled trials (RCTs) that evaluated the effects of physical training compared to a control condition (usual care, waitlist, education, placebo control) on reducing falls among community-dwelling older adults with cognitive impairment (i.e. any stage of Alzheimer’s disease and related dementias, mild cognitive impairment). Results We identified and meta-analysed nine studies, published between 2013 and 2020, that included 12 comparisons (N = 1,411; mean age = 78 years; 56% women). Overall, in comparison to control, interventions produced a statistically significant reduction of approximately 30% in the rate of falls (incidence rate ratio = 0.70; 95% CI, 0.52-0.95). There was significant between-trial heterogeneity (I2 = 74%), with most trials (n = 6 studies [eight comparisons]) showing no reductions on fall rates. Subgroup analyses showed no differences in the fall rates by trial-level characteristics. Exercise-based interventions had no impact on reducing the number of fallers (relative risk = 1.01; 95% CI, 0.90–1.14). Concerns about risk of bias in these RCTs were noted, and the quality of evidence was rated as low. Conclusions The positive statistical findings on reducing fall rate in this meta-analysis were driven by a few studies. Therefore, current evidence is insufficient to inform evidence-based recommendations or treatment decisions for clinical practice. PROSPERO Registration number: CRD42020202094.
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Affiliation(s)
- Fuzhong Li
- Oregon Research Institute, Eugene, OR 97403, USA
- Shanghai University of Sport, Shanghai, China
| | - Peter Harmer
- Willamette University, Department of Exercise and Health Science, Salem, OR 97301, USA
| | - Elizabeth Eckstrom
- Division of General Internal Medicine & Geriatrics, Oregon Health & Science University, Portland, OR 97239, USA
| | | | | | - Jan Voit
- Voit Better Balance, Seattle, WA 98104, USA
| | - Li-Shan Chou
- Iowa State University, Department of Kinesiology, Ames, IA 50011, USA
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Doi T, Nakakubo S, Tsutsumimoto K, Kurita S, Ishii H, Shimada H. Spatiotemporal gait characteristics and risk of mortality in community-dwelling older adults. Maturitas 2021; 151:31-35. [PMID: 34446276 DOI: 10.1016/j.maturitas.2021.06.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 05/26/2021] [Accepted: 06/20/2021] [Indexed: 12/30/2022]
Abstract
Gait is one of the best measures of physical function in older adults. The study examined the association between spatiotemporal gait variables and mortality among older adults. The participants were 4,298 older adults in the National Center for Geriatrics and Gerontology - Study of Geriatric Syndromes. At baseline we measured the following spatiotemporal gait variables: gait speed, stride length, cadence, and stride length variability. Demographic variables, medical conditions, cognitive function, and physical inactivity were also assessed at baseline. We obtained gait measurements over five trials using an electronic gait-measuring device mounted at the middle 2.4 m section of a 6.4 m straight and flat pathway, with 2 m allowed for acceleration and deceleration. Participants' usual gait speed was measured. Subsequent incident death was confirmed using administrative data. During follow-up (mean duration: 1,571 days), there were 185 incident deaths among participants. Low function on all gait variables increased risk of mortality (adjusted hazard ratio [95% confidence interval], gait speed: 1.83 [1.31-2.56], stride length: 1.85 [1.31-2.62], cadence: 1.60 [1.17-2.18], stride length variability: 1.50 [1.09-2.06]). In addition, mortality risk increased with the number of variables showing low gait function compared with normal gait function (p < .05). Slower gait speed, shorter stride length, lower cadence, and higher stride length variability were associated with increased mortality. Multifaceted gait analysis could be useful for evaluating mortality risk.
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Affiliation(s)
- Takehiko Doi
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430, Morioka, Obu, Aichi 474-8511, Japan.
| | - Sho Nakakubo
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430, Morioka, Obu, Aichi 474-8511, Japan
| | - Kota Tsutsumimoto
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430, Morioka, Obu, Aichi 474-8511, Japan
| | - Satoshi Kurita
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430, Morioka, Obu, Aichi 474-8511, Japan
| | - Hideaki Ishii
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430, Morioka, Obu, Aichi 474-8511, Japan
| | - Hiroyuki Shimada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430, Morioka, Obu, Aichi 474-8511, Japan
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Zhong Q, Ali N, Gao Y, Wu H, Wu X, Sun C, Ma J, Thabane L, Xiao M, Zhou Q, Shen Y, Wang T, Zhu Y. Gait Kinematic and Kinetic Characteristics of Older Adults With Mild Cognitive Impairment and Subjective Cognitive Decline: A Cross-Sectional Study. Front Aging Neurosci 2021; 13:664558. [PMID: 34413762 PMCID: PMC8368728 DOI: 10.3389/fnagi.2021.664558] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 06/09/2021] [Indexed: 01/14/2023] Open
Abstract
Background Older adults with mild cognitive impairment (MCI) have slower gait speed and poor gait performance under dual-task conditions. However, gait kinematic and kinetic characteristics in older adults with MCI or subjective cognitive decline (SCD) remain unknown. This study was designed to explore the difference in gait kinematics and kinetics during level walking among older people with MCI, SCD, and normal cognition (NC). Methods This cross-sectional study recruited 181 participants from July to December 2019; only 82 met the inclusion criteria and consented to participate and only 79 completed gait analysis. Kinematic and kinetic data were obtained using three-dimensional motion capture system during level walking, and joint movements of the lower limbs in the sagittal plane were analyzed by Visual 3D software. Differences in gait kinematics and kinetics among the groups were analyzed using multivariate analysis of covariance (MANCOVA) with Bonferroni post-hoc analysis. After adjusting for multiple comparisons, the significance level was p < 0.002 for MANCOVA and p < 0.0008 for post-hoc analysis. Results Twenty-two participants were MCI [mean ± standard deviation (SD) age, 71.23 ± 6.65 years], 33 were SCD (age, 72.73 ± 5.25 years), and 24 were NC (age, 71.96 ± 5.30 years). MANCOVA adjusted for age, gender, body mass index (BMI), gait speed, years of education, diabetes mellitus, and Geriatric Depression Scale (GDS) revealed a significant multivariate effect of group in knee peak extension angle (F = 8.77, p < 0.0001) and knee heel strike angle (F = 8.07, p = 0.001) on the right side. Post-hoc comparisons with Bonferroni correction showed a significant increase of 5.91° in knee peak extension angle (p < 0.0001) and a noticeable decrease of 6.21°in knee heel strike angle (p = 0.001) in MCI compared with NC on the right side. However, no significant intergroup difference was found in gait kinetics, including dorsiflexion, plantar flexion, knee flexion, knee extension, hip flexion, and hip extension(p > 0.002). Conclusion An increase of right knee peak extension angle and a decrease of right knee heel strike angle during level walking were found among older adults with MCI compared to those with NC.
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Affiliation(s)
- Qian Zhong
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Department of Rehabilitation, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Nawab Ali
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Swat Institute of Rehabilitation & Medical Sciences, Swat, Pakistan
| | - Yaxin Gao
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Department of Rehabilitation, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Han Wu
- Department of Rehabilitation, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Xixi Wu
- Zhongshan Rehabilitation Branch, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Cuiyun Sun
- Department of Rehabilitation, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Jinhui Ma
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.,Biostatistics Unit, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Ming Xiao
- Jiangsu Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, China.,Brain Institute, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Qiumin Zhou
- Department of Rehabilitation, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Ying Shen
- Department of Rehabilitation, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Tong Wang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yi Zhu
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Ali P, Labriffe M, Paisant P, Custaud MA, Annweiler C, Dinomais M. Associations between gait speed and brain structure in amnestic mild cognitive impairment: a quantitative neuroimaging study. Brain Imaging Behav 2021; 16:228-238. [PMID: 34338997 DOI: 10.1007/s11682-021-00496-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND Patients with amnestic mild cognitive impairment (aMCI) present gait disturbances including slower speed and higher variability when compared to cognitively healthy individuals (CHI). Brain neuroimaging could explore higher levels of motor control. Our purpose was to look for an association between morphometrics and gait parameters in each group. We hypothesized that the relation between morphological cerebral alteration and gait speed are different following the group. METHODS Fifty-three participants (30 with aMCI and 23 CHI) were recruited in this French cross-sectional study (mean 72 ± 5 years, 38% female). Gait speed and gait variability (coefficients of variation of stride time (STV) and stride length (SLV)) were measured using GAITrite® system. CAT12 software was used to analyse volume and surface morphometry like gray matter volume (GMV) and cortical thickness (CT). Age, gender and education level were used as potential cofounders. RESULTS aMCI had slower gait speed and higher STV when compared to CHI. In aMCI the full adjusted linear regression model showed that lower gait speed was associated with decreased GMV and lower CT in bilateral superior temporal gyri (p < 0.36). In CHI, no association was found between gait speed and brain structure. Higher SLV was correlated with reduced GMV in spread regions (p < 0.05) and thinner cortex in the middle right frontal gyrus (p = 0.001) in aMCI. In CHI, higher SLV was associated with reduced GMV in 1 cluster: the left lingual (p = 0.041). CONCLUSIONS These findings indicate that lower gait speed is associated with specific brain structural changes as reduced GMV and CT during aMCI.
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Affiliation(s)
- Pauline Ali
- Laboratoire Angevin de Recherche en Ingénierie Des Systèmes, EA7315, University of Angers, Angers, France. .,Department of Physical and Rehabilitation Medicine, Angers University Hospital, Angers, France. .,Les Capucins, Centre de Réadaptation Spécialisée et Soins Longue Durée, 11 Boulevard Jean Sauvage, F-49100, Angers, France.
| | - Matthieu Labriffe
- Laboratoire Angevin de Recherche en Ingénierie Des Systèmes, EA7315, University of Angers, Angers, France.,Department of Radiology, Angers University Hospital, University of Angers, Angers, France
| | - Paul Paisant
- Les Capucins, Centre de Réadaptation Spécialisée et Soins Longue Durée, 11 Boulevard Jean Sauvage, F-49100, Angers, France
| | - Marc Antoine Custaud
- CRC, Clinical Research Center, Angers University Hospital, Angers, France.,MITOVASC Institute, UMR CNRS 6015, UMR INSERM 1083, University of Angers, Angers, France
| | - Cédric Annweiler
- Department of Geriatric Medicine, Angers University Hospital, Angers University Memory Clinic, Research Center on Autonomy and Longevity, UPRES EA 4638, University of Angers, Angers, France.,Robarts Research Institute, Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Mickaël Dinomais
- Laboratoire Angevin de Recherche en Ingénierie Des Systèmes, EA7315, University of Angers, Angers, France.,Department of Physical and Rehabilitation Medicine, Angers University Hospital, Angers, France.,Les Capucins, Centre de Réadaptation Spécialisée et Soins Longue Durée, 11 Boulevard Jean Sauvage, F-49100, Angers, France
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Nyul-Toth A, DelFavero J, Mukli P, Tarantini A, Ungvari A, Yabluchanskiy A, Csiszar A, Ungvari Z, Tarantini S. Early manifestation of gait alterations in the Tg2576 mouse model of Alzheimer's disease. GeroScience 2021; 43:1947-1957. [PMID: 34160781 PMCID: PMC8492885 DOI: 10.1007/s11357-021-00401-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/07/2021] [Indexed: 01/04/2023] Open
Abstract
There is strong clinical evidence that multifaceted gait abnormalities may be manifested at early stages of Alzheimer's disease (AD), are related to cognitive decline, and can be used as an early biomarker to identify patients at risk of progressing to full-blown dementia. Despite their importance, gait abnormalities have not been investigated in mouse models of AD, which replicate important aspects of the human disease. The Tg2576 is frequently used in AD research to test therapeutic interventions targeting cellular mechanisms contributing to the genesis of AD. This transgenic mouse strain overexpresses a mutant form of the 695 amino acid isoform of human amyloid precursor protein with K670N and M671L mutations (APPK670/671L) linked to early-onset familial AD. Tg2576 mice exhibit impaired cognitive functions and increased cortical and hippocampal soluble β-amyloid levels starting from 5 months of age and increased insoluble β-amyloid levels and amyloid plaques that resemble senile plaques associated with human AD by 13 months of age. To demonstrate early manifestations of gait dysfunction in this relevant preclinical model, we characterized gait and motor performance in 10-month-old Tg2576 mice and age-matched littermate controls using the semi-automated, highly sensitive, Catwalk XT system. We found that Tg2576 mice at the pre-plaque stage exhibited significantly altered duty cycle and step patterns and decreased stride length and stride time. Base-of-support, stride time variability, stride length variability, cadence, phase dispersions and gait symmetry indices were unaltered. The presence of measurable early gait abnormalities during the pre-plaque stages of AD in this relevant preclinical mouse model has direct translational relevance and supports the view that longitudinal monitoring of gait performance could be used in addition to behavioral testing to evaluate progression of the disease and to assess treatment efficacy.
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Affiliation(s)
- Adam Nyul-Toth
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA
- International Training Program in Geroscience, Institute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network (ELKH), Szeged, Hungary
| | - Jordan DelFavero
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA
| | - Peter Mukli
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Physiology, Semmelweis University, Budapest, Hungary
| | - Amber Tarantini
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA
| | - Anna Ungvari
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA
| | - Anna Csiszar
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Zoltan Ungvari
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA.
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
| | - Stefano Tarantini
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, 975 N. E. 10th Street - BRC 1303, Oklahoma City, OK, 73104, USA.
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
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Association Between Gait, Cognition, and Gray Matter Volumes in Mild Cognitive Impairment and Healthy Controls. Alzheimer Dis Assoc Disord 2021; 34:231-237. [PMID: 31977569 DOI: 10.1097/wad.0000000000000371] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
AIMS To assess the correlation between cognitive functioning and 3 gait parameters (gait speed, cadence, and stride length) in persons with mild cognitive impairment (MCI) and cognitively healthy controls and investigate linear correlations between gait and gray matter volumes. MATERIALS AND METHODS Participants were recruited at IRCCS San Camillo Hospital, Venice, Italy (MCI=43; age-matched controls=43). Participants underwent comprehensive neuropsychological assessment. Gait speed, cadence, and stride length, were assessed with the BTS FREEMG 300 device. Three-dimensional (3D) T1-weighted MR images were acquired using a 1.5 T Philips Achieva MRI system with a Turbo Field Echo sequence. RESULTS In MCI there was a positive correlation between gait speed and memory tests (P<0.05). In controls all 3 gait parameters correlated with executive functioning (P<0.01). Temporal and limbic areas (ie, superior temporal gyrus, thalamus and parahippocampal gyrus) were associated with gait parameters in MCI whereas in controls the associations were with frontal areas (ie, middle, inferior, and superior frontal gyrus) and in the cerebellum (anterior and posterior lobe). CONCLUSIONS Our results highlight a distinct pattern of association between gray matter volume and gait parameters in MCI patients and controls (temporal areas in MCI and frontal areas in healthy elderly), suggesting a relationship between dementia-related pathology and gait dysfunction.
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Li Z, Wang H, Xiao G, Du H, He S, Feng Y, Zhang B, Zhu Y. Recovery of post-stroke cognitive and motor deficiencies by Shuxuening injection via regulating hippocampal BDNF-mediated Neurotrophin/Trk Signaling. Biomed Pharmacother 2021; 141:111828. [PMID: 34146848 DOI: 10.1016/j.biopha.2021.111828] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 06/07/2021] [Accepted: 06/11/2021] [Indexed: 12/16/2022] Open
Abstract
A mild ischemic stroke may cause both debilitating locomotor and cognitive decline, for which the mechanism is not fully understood, and no therapies are currently available. In this study, a nonfatal stroke model was constructed in mice by a modified middle cerebral artery occlusion (MCAO) procedure, allowing an extended recovery period up to 28 days. The extended MCAO model successfully mimicked phenotypes of a recovery phase post-stroke, including locomotor motor and cognitive deficiencies, which were effectively improved after Shuxuening injection (SXNI) treatment. Tissue slices staining showed that SXNI repaired brain injury and reduced neuronal apoptosis, especially in the hippocampus CA3 region. Transcriptomics sequencing study revealed 565 differentially expressed genes (DEGs) in the ischemic brain after SXNI treatment. Integrated network pharmacological analysis identified Neurotrophin/Trk Signaling was the most relevant pathway, which involves 15 key genes. Related DEGs were further validated by RT-PCR. Western-blot analysis showed that SXNI reversed the abnormal expression of BDNF, TrkB, Mek3 and Jnk1after stroke. ELISA found that SXNI increased brain level of p-Erk and Creb. At sub-brain level, the expression of BDNF and TrkB was decreased and GFAP was increased on the hippocampal CA3 region in the post-stroke recovery phase and this abnormality was improved by SXNI. In vitro experiments also found that oxygen glucose deprivation reduced the expression of BDNF and TrkB, which was reversed by SXNI. In summary, we conclude that SXNI facilitates the recovery of cognitive and locomotor dysfunction by modulating Neurotrophin/Trk Signaling in a mouse model for the recovery phase of post-ischemic stroke.
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Affiliation(s)
- Zhixiong Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin 300457, China
| | - Huanyi Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin 300457, China
| | - Guangxu Xiao
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin 300457, China
| | - Hongxia Du
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin 300457, China
| | - Shuang He
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin 300457, China
| | - Yuxin Feng
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin 300457, China
| | - Boli Zhang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yan Zhu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin 300457, China.
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Monaghan AS, Huisinga JM, Peterson DS. The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis. Sci Rep 2021; 11:12811. [PMID: 34140612 PMCID: PMC8211858 DOI: 10.1038/s41598-021-92353-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 06/09/2021] [Indexed: 02/05/2023] Open
Abstract
People with multiple sclerosis (PwMS) demonstrate gait impairments that are related to falls. However, redundancy exists when reporting gait outcomes. This study aimed to develop an MS-specific model of gait and examine differences between fallers and non-fallers. 122 people with relapsing-remitting MS and 45 controls performed 3 timed up-and-go trials wearing inertial sensors. 21 gait parameters were entered into a principal component analysis (PCA). The PCA-derived gait domains were compared between MS fallers (MS-F) and MS non-fallers (MS-NF) and correlated to cognitive, clinical, and quality-of-life outcomes. Six distinct gait domains were identified: pace, rhythm, variability, asymmetry, anterior-posterior dynamic stability, and medial-lateral dynamic stability, explaining 79.15% of gait variance. PwMS exhibited a slower pace, larger variability, and increased medial-lateral trunk motion compared to controls (p < 0.05). The pace and asymmetry domains were significantly worse (i.e., slower and asymmetrical) in MS-F than MS-NF (p < 0.001 and p = 0.03, respectively). Fear of falling, cognitive performance, and functional mobility were associated with a slower gait (p < 0.05). This study identified a six-component, MS-specific gait model, demonstrating that PwMS, particularly fallers, exhibit deficits in pace and asymmetry. Findings may help reduce redundancy when reporting gait outcomes and inform interventions targeting specific gait domains.
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Affiliation(s)
- Andrew S. Monaghan
- grid.215654.10000 0001 2151 2636College of Health Solutions, Arizona State University, 425 N 5th St., Phoenix, AZ 85282 USA
| | - Jessie M. Huisinga
- grid.412016.00000 0001 2177 6375Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, USA
| | - Daniel S. Peterson
- grid.215654.10000 0001 2151 2636College of Health Solutions, Arizona State University, 425 N 5th St., Phoenix, AZ 85282 USA ,grid.416818.20000 0004 0419 1967Phoenix VA Health Care Center, Phoenix, AZ USA
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Masse FAA, Ansai JH, Fiogbe E, Rossi PG, Vilarinho ACG, Takahashi ACDM, Pires de Andrade L. Progression of Gait Changes in Older Adults With Mild Cognitive Impairment: A Systematic Review. J Geriatr Phys Ther 2021; 44:119-124. [PMID: 33534339 DOI: 10.1519/jpt.0000000000000281] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND AND PURPOSE The identification of altered gait and its progression over time is important to gaining a better understanding of the clinical aspects of mild cognitive impairment (MCI) in older adults. The aim of the present systematic review was to determine changes in gait variables over time among older adults with MCI. METHODS The PubMed, Web of Science, Scopus, and Science Direct databases were searched for relevant articles using the following keywords and Medical Subject Headings: Aged AND "Mild cognitive impairment" AND (gait OR locomotion). A hand search was also performed of the reference lists of the selected articles in an attempt to find additional records. The following were the inclusion criteria: longitudinal studies and clinical trials involving a control group without intervention; samples of individuals 65 years or older; and characterization of gait using a single or dual task. RESULTS AND DISCUSSION The initial search led to the retrieval of 6979 studies, 9 of which met the inclusion criteria. The duration of follow-up among the studies ranged from 6 months to 2 years. Most trials investigated gait speed. Other gait variables were step length, time required to walk a given distance, and mean weekly gait speed. Altered gait progressed in older adults with MCI. The main alterations were gait speed and variability in daily number of steps in follow-up periods lasting more than 1 year. No significant changes in gait variables were found in shorter follow-up periods (up to 6 months). CONCLUSIONS The progression of gait changes in older adults with MCI has been underinvestigated. MCI leads to reduced gait speed in longer follow-up periods. Such information can contribute to the determination of motor interventions for older adults with MCI, especially in the early stages.
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Affiliation(s)
| | - Juliana Hotta Ansai
- Course of Physical Therapy, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | - Elie Fiogbe
- Department of Physical Therapy, Federal University of São Carlos, São Carlos, São Paulo, Brazil
| | - Paulo Giusti Rossi
- Department of Physical Therapy, Federal University of São Carlos, São Carlos, São Paulo, Brazil
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Gorenko JA, Smith AP, Hundza SR, Halliday DWR, DeCarlo CA, Sheets DJ, Stawski RS, MacDonald SWS. A socially-engaged lifestyle moderates the association between gait velocity and cognitive impairment. Aging Ment Health 2021; 25:632-640. [PMID: 31920094 DOI: 10.1080/13607863.2019.1711361] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Objective: Cognitive status has been linked to impaired gait velocity, and diminished social and physical engagement. To date, the potential moderating influence of lifestyle engagement on gait-cognitive status associations has not been systematically explored. The present investigation examines whether a socially- or physically-engaged lifestyle moderates the association between diminished gait velocity and likelihood of amnestic mild cognitive impairment (a-MCI) classification.Methods: Participants (aged 65+, Mage=73 years) were classified as either healthy controls (n = 30) or a-MCI (n = 24), using neuropsychological test scores and clinical judgement. Gait velocity was indexed using a GAITRite computerized walkway, engaged lifestyle (social and physical subdomains) were measured using a well-validated self-report measure, the revised Activity Lifestyle Questionnaire.Results: Logistic regression, evaluating likelihood of a-MCI classification, yielded a significant interaction between a socially-engaged lifestyle and gait velocity (b=.01, SE=.003, p=.015). Follow-up simple effects were derived for two levels (+/-1SD) of social engagement; for individuals 1 SD below the mean, the association between gait velocity and increased likelihood of a-MCI classification was exacerbated (probability of a-MCI classification for those with slower gait velocity was 60% higher for individuals 1 SD below vs 1 SD above the mean of social engagement). Physically-engaged lifestyle did not significantly moderate the gait-cognitive status association.Conclusions: The significant moderating influence of social engagement has several implications, including the likelihood that distinct mechanisms underlie the relationships of social engagement and gait velocity to cognitive function, the value of social variables for well-being, and the potential utility of socially-based interventions that may prevent/delay a-MCI onset.
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Affiliation(s)
- Julie A Gorenko
- Department of Psychology, University of Calgary, Calgary, Canada
| | - Andre P Smith
- Department of Sociology, University of Victoria, Victoria, Canada.,Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada
| | - Sandra R Hundza
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada.,School of Exercise Science, University of Victoria, Victoria, Canada
| | - Drew W R Halliday
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada.,Department of Psychology, University of Victoria, Victoria, Canada
| | | | - Debra J Sheets
- School of Nursing, University of Victoria, Victoria, Canada
| | - Robert S Stawski
- School of Social and Behavioral Health Sciences, Oregon State University, Corvallis, OR, USA
| | - Stuart W S MacDonald
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, Canada.,Department of Psychology, University of Victoria, Victoria, Canada
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Poirier G, Ohayon A, Juranville A, Mourey F, Gaveau J. Deterioration, Compensation and Motor Control Processes in Healthy Aging, Mild Cognitive Impairment and Alzheimer's Disease. Geriatrics (Basel) 2021; 6:33. [PMID: 33807008 PMCID: PMC8006018 DOI: 10.3390/geriatrics6010033] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/18/2021] [Accepted: 03/19/2021] [Indexed: 01/07/2023] Open
Abstract
Aging is associated with modifications of several brain structures and functions. These modifications then manifest as modified behaviors. It has been proposed that some brain function modifications may compensate for some other deteriorated ones, thus maintaining behavioral performance. Through the concept of compensation versus deterioration, this article reviews the literature on motor function in healthy and pathological aging. We first highlight mechanistic studies that used paradigms, allowing us to identify precise compensation mechanisms in healthy aging. Subsequently, we review studies investigating motor function in two often-associated neurological conditions, i.e., mild cognitive impairment and Alzheimer's disease. We point out the need to expand the knowledge gained from descriptive studies with studies targeting specific motor control processes. Teasing apart deteriorated versus compensating processes represents precious knowledge that could significantly improve the prevention and rehabilitation of age-related loss of mobility.
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Affiliation(s)
- Gabriel Poirier
- INSERM U1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France; (A.O.); (A.J.); (F.M.); (J.G.)
- Espace d’Étude du Mouvement—Étienne Jules MAREY, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France
| | - Alice Ohayon
- INSERM U1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France; (A.O.); (A.J.); (F.M.); (J.G.)
| | - Adrien Juranville
- INSERM U1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France; (A.O.); (A.J.); (F.M.); (J.G.)
| | - France Mourey
- INSERM U1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France; (A.O.); (A.J.); (F.M.); (J.G.)
- Espace d’Étude du Mouvement—Étienne Jules MAREY, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France
| | - Jeremie Gaveau
- INSERM U1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France; (A.O.); (A.J.); (F.M.); (J.G.)
- Espace d’Étude du Mouvement—Étienne Jules MAREY, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, F-21000 Dijon, France
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81
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Boekesteijn RJ, Smolders JMH, Busch VJJF, Geurts ACH, Smulders K. Independent and sensitive gait parameters for objective evaluation in knee and hip osteoarthritis using wearable sensors. BMC Musculoskelet Disord 2021; 22:242. [PMID: 33658006 PMCID: PMC7931541 DOI: 10.1186/s12891-021-04074-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 02/09/2021] [Indexed: 11/30/2022] Open
Abstract
Background Although it is well-established that osteoarthritis (OA) impairs daily-life gait, objective gait assessments are not part of routine clinical evaluation. Wearable inertial sensors provide an easily accessible and fast way to routinely evaluate gait quality in clinical settings. However, during these assessments, more complex and meaningful aspects of daily-life gait, including turning, dual-task performance, and upper body motion, are often overlooked. The aim of this study was therefore to investigate turning, dual-task performance, and upper body motion in individuals with knee or hip OA in addition to more commonly assessed spatiotemporal gait parameters using wearable sensors. Methods Gait was compared between individuals with unilateral knee (n = 25) or hip OA (n = 26) scheduled for joint replacement, and healthy controls (n = 27). For 2 min, participants walked back and forth along a 6-m trajectory making 180° turns, with and without a secondary cognitive task. Gait parameters were collected using 4 inertial measurement units on the feet and trunk. To test if dual-task gait, turning, and upper body motion had added value above spatiotemporal parameters, a factor analysis was conducted. Effect sizes were computed as standardized mean difference between OA groups and healthy controls to identify parameters from these gait domains that were sensitive to knee or hip OA. Results Four independent domains of gait were obtained: speed-spatial, speed-temporal, dual-task cost, and upper body motion. Turning parameters constituted a gait domain together with cadence. From the domains that were obtained, stride length (speed-spatial) and cadence (speed-temporal) had the strongest effect sizes for both knee and hip OA. Upper body motion (lumbar sagittal range of motion), showed a strong effect size when comparing hip OA with healthy controls. Parameters reflecting dual-task cost were not sensitive to knee or hip OA. Conclusions Besides more commonly reported spatiotemporal parameters, only upper body motion provided non-redundant and sensitive parameters representing gait adaptations in individuals with hip OA. Turning parameters were sensitive to knee and hip OA, but were not independent from speed-related gait parameters. Dual-task parameters had limited additional value for evaluating gait in knee and hip OA, although dual-task cost constituted a separate gait domain. Future steps should include testing responsiveness of these gait domains to interventions aiming to improve mobility. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-021-04074-2.
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Affiliation(s)
- Ramon J Boekesteijn
- Department of Research, Sint Maartenskliniek, Hengstdal 3, 6574 NA Ubbergen, Nijmegen, The Netherlands. .,Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - José M H Smolders
- Department of Orthopedic Surgery, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - Vincent J J F Busch
- Department of Orthopedic Surgery, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - Alexander C H Geurts
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Katrijn Smulders
- Department of Research, Sint Maartenskliniek, Hengstdal 3, 6574 NA Ubbergen, Nijmegen, The Netherlands
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Fuentes-Abolafio IJ, Stubbs B, Pérez-Belmonte LM, Bernal-López MR, Gómez-Huelgas R, Cuesta-Vargas A. Functional objective parameters which may discriminate patients with mild cognitive impairment from cognitively healthy individuals: a systematic review and meta-analysis using an instrumented kinematic assessment. Age Ageing 2021; 50:380-393. [PMID: 33000147 DOI: 10.1093/ageing/afaa135] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 05/14/2020] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND a systematic review in 2015 showed kinematic gait and balance parameters which can discriminate patients with mild cognitive impairment (MCI) from cognitively healthy individuals. OBJECTIVE this systematic review and meta-analysis aims to summarise and synthesise the evidence published after the previous review about the functional objective parameters obtained by an instrumented kinematic assessment which could discriminate patients with MCI from cognitively healthy individuals, as well as to assess the level of evidence per outcome. METHODS major electronic databases were searched from inception to August 2019 for cross-sectional studies published after 2015 examining kinematic gait and balance parameters, which may discriminate patients with MCI from cognitively healthy individuals. Meta-analysis was carried out for each parameter reported in two or more studies. RESULTS Ten cross-sectional studies with a total of 1,405 patients with MCI and 2,277 cognitively healthy individuals were included. Eight of the included studies reported a low risk of bias. Patients with MCI showed a slower gait speed than cognitively healthy individuals. Thus, single-task gait speed (d = -0.44, 95%CI [-0.60 to -0.28]; P < 0.001), gait speed at fast pace (d = -0.48, 95%CI [-0.72 to -0.24]; P < 0.001) and arithmetic dual-task gait speed (d = -1.20, 95%CI [-2.12 to -0.28]; P = 0.01) were the functional objective parameters which best discriminated both groups. CONCLUSION the present review shows kinematic gait parameters which may discriminate patients with MCI from cognitively healthy individuals. Most of the included studies reported a low risk of bias, but the grading of recommendations assessment, development and evaluation criteria showed a low level of evidence per outcome.
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Affiliation(s)
- Iván José Fuentes-Abolafio
- Departamento de Fisioterapia, Universidad de Málaga, España, Instituto de Investigación Biomédica de Málaga (IBIMA), Grupo de Clinimetría (F-14), Málaga, Spain
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Positive Ageing Research Institute (PARI), Faculty of Health Social Care and Education, Anglia Ruskin University, Chelmsford, UK
| | - Luis Miguel Pérez-Belmonte
- Internal Medicine Department, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Málaga, Málaga, Spain
- Unidad de Neurofisiología Cognitiva, Centro de Investigaciones Médico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), Campus de Excelencia Internacional (CEI) Andalucía Tech, Málaga, Spain
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - María Rosa Bernal-López
- Internal Medicine Department, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Málaga, Málaga, Spain
- CIBER Fisio-patología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Ricardo Gómez-Huelgas
- Internal Medicine Department, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Málaga, Málaga, Spain
- CIBER Fisio-patología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio Cuesta-Vargas
- Departamento de Fisioterapia, Universidad de Málaga, España, Instituto de Investigación Biomédica de Málaga (IBIMA), Grupo de Clinimetría (F-14), Málaga, Spain
- School of Clinical Sciences, Faculty of Health at the Queensland University of Technology, Queensland, Australia
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83
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The Influence of Diabetes on Multisensory Integration and Mobility in Aging. Brain Sci 2021; 11:brainsci11030285. [PMID: 33668979 PMCID: PMC7996615 DOI: 10.3390/brainsci11030285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/08/2021] [Accepted: 02/20/2021] [Indexed: 11/18/2022] Open
Abstract
(1) Background: one out of every four adults over the age of 65 are living with diabetes, and this alarming rate continues to increase with age. Diabetes in older adults is associated with many adverse health outcomes, including sensory and motor impairments. The objective of this exploratory study was to determine whether diabetes influences the interplay between multisensory integration processes and mobility in aging. (2) Methods: in this cross-sectional observational study, we recruited 339 non-demented older adults (76.59 ± 6.21 years; 52% female, 18% with diabetes). Participants completed a simple reaction time test in response to visual, somatosensory, and combined visual-somatosensory stimulation. Magnitude of visual-somatosensory integration was computed and served as the independent variable. (3) Results: logistic regression revealed that presence of diabetes was inversely associated with the magnitude of visual-somatosensory integration (β = −3.21; p < 0.01). Further, mediation models revealed that presence of diabetes negatively influenced the relationship of visual–somatosensory integration magnitude with balance (95% CI −0.16, −0.01) and gait (95% CI −0.09, −0.01). Participants with diabetes and taking insulin (n = 14) failed to integrate sensory information entirely; (4) conclusions: taken together, results from this exploration provide compelling evidence to support the adverse effect of diabetes on both multisensory and motor functioning in older adults.
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Angelini L, Buckley E, Bonci T, Radford A, Sharrack B, Paling D, Nair KPS, Mazza C. A Multifactorial Model of Multiple Sclerosis Gait and Its Changes Across Different Disability Levels. IEEE Trans Biomed Eng 2021; 68:3196-3204. [PMID: 33625975 DOI: 10.1109/tbme.2021.3061998] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Mobility assessment is critical in the clinical management of people with Multiple Sclerosis (pwMS). Instrumented gait analysis provides a plethora of metrics for quantifying concurrent factors contributing to gait deterioration. However, a gait model discriminating underlying features contributing to this deterioration is lacking in pwMS. This study aimed at developing and validating such a model. METHODS The gait of 24 healthy controls and 114 pwMS with mild, moderate, or severe disability was measured with inertial sensors on the shanks and lower trunk while walking for 6 minutes along a hospital corridor. Twenty out of thirty-six initially explored metrics computed from the sensor data met the quality criteria for exploratory factor analysis. This analysis provided the sought model, which underwent a confirmatory factor analysis before being used to characterize gait impairment across the three disability groups. RESULTS A gait model consisting of five domains (rhythm/variability, pace, asymmetry, and forward and lateral dynamic balance) was revealed by the factor analysis, which was able to highlight gait abnormalities across the disability groups: significant alterations in rhythm/variability-, asymmetry-, and pace-based features were present in the mild group, but these were more profound in the moderate and severe groups. Deterioration in dynamic balance-based features was only noted in pwMS with a moderate and severe disability. CONCLUSION A conceptual model of gait for disease-specific mobility assessment in pwMS was successfully developed and tested. SIGNIFICANCE The new model, built with metrics that represent gait impairment in pwMS, highlighted clinically relevant changes across different disability levels, including those with no clinically observable walking disability. This shows the clear potential as a monitoring biomarker in pwMS.
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Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration. Sci Rep 2021; 11:3950. [PMID: 33597593 PMCID: PMC7889656 DOI: 10.1038/s41598-021-82694-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 01/21/2021] [Indexed: 01/31/2023] Open
Abstract
Motor deficits are observed in Alzheimer's disease (AD) prior to the appearance of cognitive symptoms. To investigate the role of amyloid proteins in gait disturbances, we characterized locomotion in APP-overexpressing transgenic J20 mice. We used three-dimensional motion capture to characterize quadrupedal locomotion on a treadmill in J20 and wild-type mice. Sixteen J20 mice and fifteen wild-type mice were studied at two ages (4- and 13-month). A random forest (RF) classification algorithm discriminated between the genotypes within each age group using a leave-one-out cross-validation. The balanced accuracy of the RF classification was 92.3 ± 5.2% and 93.3 ± 4.5% as well as False Negative Rate (FNR) of 0.0 ± 0.0% and 0.0 ± 0.0% for the 4-month and 13-month groups, respectively. Feature ranking algorithms identified kinematic features that when considered simultaneously, achieved high genotype classification accuracy. The identified features demonstrated an age-specific kinematic profile of the impact of APP-overexpression. Trunk tilt and unstable hip movement patterns were important in classifying the 4-month J20 mice, whereas patterns of shoulder and iliac crest movement were critical for classifying 13-month J20 mice. Examining multiple kinematic features of gait simultaneously could also be developed to classify motor disorders in humans.
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86
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Varma VR, Ghosal R, Hillel I, Volfson D, Weiss J, Urbanek J, Hausdorff JM, Zipunnikov V, Watts A. Continuous gait monitoring discriminates community-dwelling mild Alzheimer's disease from cognitively normal controls. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12131. [PMID: 33598530 PMCID: PMC7864220 DOI: 10.1002/trc2.12131] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 11/25/2020] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Few studies have explored whether gait measured continuously within a community setting can identify individuals with Alzheimer's disease (AD). This study tests the feasibility of this method to identify individuals at the earliest stage of AD. METHODS Mild AD (n = 38) and cognitively normal control (CNC; n = 48) participants from the University of Kansas Alzheimer's Disease Center Registry wore a GT3x+ accelerometer continuously for 7 days to assess gait. Penalized logistic regression with repeated five-fold cross-validation followed by adjusted logistic regression was used to identify gait metrics with the highest predictive performance in discriminating mild AD from CNC. RESULTS Variability in step velocity and cadence had the highest predictive utility in identifying individuals with mild AD. Metrics were also associated with cognitive domains impacted in early AD. DISCUSSION Continuous gait monitoring may be a scalable method to identify individuals at-risk for developing dementia within large, population-based studies.
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Affiliation(s)
- Vijay R. Varma
- Clinical and Translational Neuroscience SectionLaboratory of Behavioral NeuroscienceNational Institute on Aging (NIA)National Institutes of Health (NIH)BaltimoreMarylandUSA
| | - Rahul Ghosal
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Inbar Hillel
- Center for the Study of Movement, Cognition and MobilityTel Aviv Sourasky Medical Center, Neurological InstituteTel AvivIsrael
| | - Dmitri Volfson
- Neuroscience AnalyticsComputational Biology, TakedaCambridgeMassachusettsUSA
| | - Jordan Weiss
- Department of DemographyUniversity of California, BerkeleyBerkeleyCaliforniaUSA
| | - Jacek Urbanek
- Department of MedicineJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Jeffrey M. Hausdorff
- Center for the Study of Movement, Cognition and MobilityTel Aviv Sourasky Medical Center, Neurological InstituteTel AvivIsrael
- Sagol School of NeuroscienceTel Aviv UniversityTel AvivIsrael
- Rush Alzheimer's Disease Center and Department of Orthopaedic SurgeryRush University Medical CenterChicagoUSA
- Department of Physical Therapy, Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael
| | - Vadim Zipunnikov
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Amber Watts
- Department of PsychologyUniversity of KansasLawrenceKansasUSA
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Powell D, Celik Y, Trojaniello D, Young F, Moore J, Stuart S, Godfrey A. Instrumenting traditional approaches to physical assessment. Digit Health 2021. [DOI: 10.1016/b978-0-12-818914-6.00005-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Yamada Y, Shinkawa K, Kobayashi M, Caggiano V, Nemoto M, Nemoto K, Arai T. Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer's Disease and Mild Cognitive Impairment. J Alzheimers Dis 2021; 84:315-327. [PMID: 34542076 PMCID: PMC8609704 DOI: 10.3233/jad-210684] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Gait, speech, and drawing behaviors have been shown to be sensitive to the diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, previous studies focused on only analyzing individual behavioral modalities, although these studies suggested that each of these modalities may capture different profiles of cognitive impairments associated with AD. OBJECTIVE We aimed to investigate if combining behavioral data of gait, speech, and drawing can improve classification performance compared with the use of individual modality and if each of these behavioral data can be associated with different cognitive and clinical measures for the diagnosis of AD and MCI. METHODS Behavioral data of gait, speech, and drawing were acquired from 118 AD, MCI, and cognitively normal (CN) participants. RESULTS Combining all three behavioral modalities achieved 93.0% accuracy for classifying AD, MCI, and CN, and only 81.9% when using the best individual behavioral modality. Each of these behavioral modalities was statistically significantly associated with different cognitive and clinical measures for diagnosing AD and MCI. CONCLUSION Our findings indicate that these behaviors provide different and complementary information about cognitive impairments such that classification of AD and MCI is superior to using either in isolation.
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Affiliation(s)
| | | | | | - Vittorio Caggiano
- Healthcare and Life Sciences, IBM Research, Yorktown Heights, NY, USA
| | - Miyuki Nemoto
- Department of Psychiatry, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Tetsuaki Arai
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
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Smith E, Storch EA, Vahia I, Wong STC, Lavretsky H, Cummings JL, Eyre HA. Affective Computing for Late-Life Mood and Cognitive Disorders. Front Psychiatry 2021; 12:782183. [PMID: 35002802 PMCID: PMC8732874 DOI: 10.3389/fpsyt.2021.782183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 11/29/2021] [Indexed: 12/20/2022] Open
Abstract
Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the study and development of systems and devices that can recognize, interpret, process, and simulate emotion or other affective phenomena. With the rapid growth in the aging population around the world, affective computing has immense potential to benefit the treatment and care of late-life mood and cognitive disorders. For late-life depression, affective computing ranging from vocal biomarkers to facial expressions to social media behavioral analysis can be used to address inadequacies of current screening and diagnostic approaches, mitigate loneliness and isolation, provide more personalized treatment approaches, and detect risk of suicide. Similarly, for Alzheimer's disease, eye movement analysis, vocal biomarkers, and driving and behavior can provide objective biomarkers for early identification and monitoring, allow more comprehensive understanding of daily life and disease fluctuations, and facilitate an understanding of behavioral and psychological symptoms such as agitation. To optimize the utility of affective computing while mitigating potential risks and ensure responsible development, ethical development of affective computing applications for late-life mood and cognitive disorders is needed.
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Affiliation(s)
- Erin Smith
- The PRODEO Institute, San Francisco, CA, United States.,Organisation for Economic Co-operation and Development (OECD), Paris, France.,Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, United States.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States.,Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Eric A Storch
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Ipsit Vahia
- Division of Geriatric Psychiatry, McLean Hospital, Boston, MA, United States.,Division of Geriatric Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Stephen T C Wong
- Systems Medicine and Biomedical Engineering Houston Methodist, Houston, TX, United States
| | - Helen Lavretsky
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas (UNLV), Las Vegas, NV, United States
| | - Harris A Eyre
- The PRODEO Institute, San Francisco, CA, United States.,Organisation for Economic Co-operation and Development (OECD), Paris, France.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States.,Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.,Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.,IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
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90
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Sánchez-Arenas R, Doubova SV, Bernabe-Garcia M, Gregory MA, Mejía-Alonso LA, Orihuela-Rodríguez O, Paredes-Manjarrez C, Colín-Martínez T, Mujica-Morales I, Grijalva-Otero I, Basurto-Acevedo L, Manuel-Apolinar L, Cuadros-Moreno J, Bernal-Diaz A, Shigematsu R. Double-task exercise programmes to strengthen cognitive and vascular health in older adults at risk of cognitive decline: protocol for a randomised clinical trial. BMJ Open 2020; 10:e039723. [PMID: 33380479 PMCID: PMC7780518 DOI: 10.1136/bmjopen-2020-039723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Cognitive and physical declines are frequent causes of disability among older adults (OAs) in Mexico that imposes significant burden on the health system and OAs' families. Programmes to prevent or delay OAs' cognitive and physical decline are scarce. METHODS AND ANALYSIS A double-blind randomised clinical trial will be conducted. The study will aim to evaluate two 24-week double-task (aerobic and cognitive) square-stepping exercise programmes for OAs at risk of cognitive decline-one programme with and another without caregiver participation-and to compare these with an aerobic-balance-stretching exercise programme (control group). 300 OAs (100 per group) affiliated with the Mexican Institute of Social Security (IMSS) between 60 and 65 years of age with self-reported cognitive concerns will participate. They will be stratified by education level and randomly allocated to the groups. The intervention will last 24 weeks, and the effect of each programme will be evaluated 12, 24 and 52 weeks after the intervention. Participants' demographic and clinical characteristics will be collected at baseline. The outcomes will include: (1) general cognitive function; (2) specific cognitive functions; (3) dual-task gait; (4) blood pressure; (5) carotid intima-media thickness; (6) OAs' health-related quality of life; and (7) caregiver burden. The effects of the interventions on each outcome variable will be examined using a repeated-measures analysis of variance (ANOVA), with study groups as the between-subjects variable and time as the within-subject variable. ETHICS AND DISSEMINATION The study was approved by the IMSS Ethics and Research Committees (registration number: 2018-785-095). All participants will sign a consent form prior to their participation. The study results will be disseminated to the IMSS authorities, healthcare providers and the research community. TRIAL REGISTRATION NUMBER ClinicalTrials.gov (NCT04068376).
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Affiliation(s)
- Rosalinda Sánchez-Arenas
- Epidemiology and Health Services Research Unit CMN Siglo XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Svetlana V Doubova
- Epidemiology and Health Services Research Unit CMN Siglo XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Mariela Bernabe-Garcia
- Medical Research Unit in Nutrition, Pediatrics Hospital, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Michel A Gregory
- School of Rehabilitation Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Laura Alejandra Mejía-Alonso
- Rehabilitation Service, Specialty Hospital, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Oscar Orihuela-Rodríguez
- Cardiology Service, Specialty Hospital, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Carlos Paredes-Manjarrez
- Image Service, Specialty Hospital, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Tania Colín-Martínez
- Continuous Admission Service, Specialty Hospital, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Irene Mujica-Morales
- Division of Occupational Risk Prevention. Occupational Health Coordination, Mexican Institute of Social Security, Mexico City, Mexico
| | - Israel Grijalva-Otero
- Medical Research Unit in Neurological Diseases, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Lourdes Basurto-Acevedo
- Research Unit in Endocrine Diseases, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Leticia Manuel-Apolinar
- Research Unit in Endocrine Diseases, National Medical Center Century XXI, Mexican Institute of Social Security, Mexico City, Mexico
| | - Juan Cuadros-Moreno
- Coordination of Health Education, Mexican Institute of Social Security, Mexico City, Mexico
| | - Arcelia Bernal-Diaz
- Aragón School of Higher Education, National Autonomous University of Mexico, Mexico City, Mexico
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91
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Skeletal Muscle Health and Cognitive Function: A Narrative Review. Int J Mol Sci 2020; 22:ijms22010255. [PMID: 33383820 PMCID: PMC7795998 DOI: 10.3390/ijms22010255] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/15/2020] [Accepted: 12/22/2020] [Indexed: 12/20/2022] Open
Abstract
Sarcopenia is the loss of skeletal muscle mass and function with advancing age. It involves both complex genetic and modifiable risk factors, such as lack of exercise, malnutrition and reduced neurological drive. Cognitive decline refers to diminished or impaired mental and/or intellectual functioning. Contracting skeletal muscle is a major source of neurotrophic factors, including brain-derived neurotrophic factor, which regulate synapses in the brain. Furthermore, skeletal muscle activity has important immune and redox effects that modify brain function and reduce muscle catabolism. The identification of common risk factors and underlying mechanisms for sarcopenia and cognition may allow the development of targeted interventions that slow or reverse sarcopenia and also certain forms of cognitive decline. However, the links between cognition and skeletal muscle have not been elucidated fully. This review provides a critical appraisal of the literature on the relationship between skeletal muscle health and cognition. The literature suggests that sarcopenia and cognitive decline share pathophysiological pathways. Ageing plays a role in both skeletal muscle deterioration and cognitive decline. Furthermore, lifestyle risk factors, such as physical inactivity, poor diet and smoking, are common to both disorders, so their potential role in the muscle-brain relationship warrants investigation.
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92
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Nyúl-Tóth Á, Tarantini S, Kiss T, Toth P, Galvan V, Tarantini A, Yabluchanskiy A, Csiszar A, Ungvari Z. Increases in hypertension-induced cerebral microhemorrhages exacerbate gait dysfunction in a mouse model of Alzheimer's disease. GeroScience 2020; 42:1685-1698. [PMID: 32844283 PMCID: PMC7732885 DOI: 10.1007/s11357-020-00256-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/17/2020] [Indexed: 12/17/2022] Open
Abstract
Clinical studies show that cerebral amyloid angiopathy (CAA) associated with Alzheimer's disease (AD) and arterial hypertension are independent risk factors for cerebral microhemorrhages (CMHs). To test the hypothesis that amyloid pathology and hypertension interact to promote the development of CMHs, we induced hypertension in the Tg2576 mouse model of AD and respective controls by treatment with angiotensin II (Ang II) and the NO synthesis inhibitor L-NAME. The number, size, localization, and neurological consequences (gait alterations) of CMHs were compared. We found that compared to control mice, in TG2576 mice, the same level of hypertension led to significantly increased CMH burden and exacerbation of CMH-related gait alterations. In hypertensive TG2576 mice, CMHs were predominantly located in the cerebral cortex at the cortical-subcortical boundary, mimicking the clinical picture seen in patients with CAA. Collectively, amyloid pathologies exacerbate the effects of hypertension, promoting the genesis of CMHs, which likely contribute to their deleterious effects on cognitive function. Therapeutic strategies for prevention of CMHs that reduce blood pressure and preserve microvascular integrity are expected to exert neuroprotective effects in high-risk elderly AD patients.
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Affiliation(s)
- Ádám Nyúl-Tóth
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Institute of Biophysics, Biological Research Centre, Szeged, Hungary
| | - Stefano Tarantini
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Tamas Kiss
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Theoretical Medicine Doctoral School/Departments of Medical Physics and Informatics & Cell Biology and Molecular Medicine, University of Szeged, Szeged, Hungary
| | - Peter Toth
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
- International Training Program in Geroscience, Doctoral School of Clinical Medicine, Department of Neurosurgery and Szentagothai Research Center, Medical School, University of Pecs, Pecs, Hungary
| | - Veronica Galvan
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Amber Tarantini
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Anna Csiszar
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Theoretical Medicine Doctoral School/Departments of Medical Physics and Informatics & Cell Biology and Molecular Medicine, University of Szeged, Szeged, Hungary
| | - Zoltan Ungvari
- Vascular Cognitive Impairment and Neurodegeneration Program, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary.
- International Training Program in Geroscience, Theoretical Medicine Doctoral School/Departments of Medical Physics and Informatics & Cell Biology and Molecular Medicine, University of Szeged, Szeged, Hungary.
- Department of Biochemistry and Molecular Biology, Reynolds Oklahoma Center on Aging/Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, 975 NE 10th Street, BRC 1311, Oklahoma City, OK, 73104, USA.
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93
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Mahoney JR, Verghese J. Does Cognitive Impairment Influence Visual-Somatosensory Integration and Mobility in Older Adults? J Gerontol A Biol Sci Med Sci 2020; 75:581-588. [PMID: 31111868 DOI: 10.1093/gerona/glz117] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Deficits in visual-somatosensory (VS) integration are linked to poor mobility. Given that sensory, motor, and cognitive processes rely on overlapping neural circuitry that are compromised in dementia and pre-dementia stages like mild cognitive impairment (MCI), we hypothesize that cognitive impairment will be associated with reduced VS integration, which will, in turn, impact the relation between VS integration and mobility. METHODS A total of 345 older adults (mean age 76.88 ± 6.45 years; 52% female) participated in the current study. Cognitive impairment was defined as presence of MCI or dementia. Magnitude of VS integration was quantified using probability models. All participants completed assessments of general cognition (Repeatable Battery for the Assessment of Neuropsychological Status; RBANS), quantitative gait, and balance (unipedal stance). RESULTS The magnitude of VS integration was lower in the 40 individuals with MCI (p = .02) and 12 with dementia (p = .04), relative to the 293 individuals without cognitive impairment. In fully adjusted models, magnitude of VS integration was only a strong predictor of performance on attention-based tests of the RBANS (β = 0.161; p < .01), regardless of cognitive status. Results from mediation analyses, however, reveal that cognitive impairment causes variation in magnitude of VS integration, which in turn causes variation in unipedal stance 95% confidence interval (CI) (-0.265, -0.002) and spatial aspects of gait 95% CI (-0.087, -0.001). CONCLUSIONS Cognitive impairment influences multisensory integration, which adversely impacts balance and gait performance in aging. Future studies should aim to uncover the precise neural circuitry involved in multisensory, cognitive, and mobility processes.
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Affiliation(s)
| | - Joe Verghese
- Department of Neurology, Division of Cognitive & Motor Aging.,Department of Medicine, Division of Geriatrics, Albert Einstein College of Medicine, Bronx, New York
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94
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Boettcher LN, Hssayeni M, Rosenfeld A, Tolea MI, Galvin JE, Ghoraani B. Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:3204-3207. [PMID: 33018686 DOI: 10.1109/embc44109.2020.9175955] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Alzheimer's disease (AD) affects approximately 30 million people worldwide, and this number is predicted to triple by 2050 unless further discoveries facilitate the early detection and prevention of the disease. Computerized walkways for simultaneous assessment of motor-cognitive performance, known as a dual-task assessment, has been used to associate changes in gait characteristics to mild cognitive impairment (MCI) with early-stage disease. However, to our best knowledge, there is no validated method to detect MCI using the collective analysis of these gait characteristics. In this paper, we develop a machine learning approach to analyze the gait data from the dual-task assessment in order to detect subjects with cognitive impairment from healthy individuals. We collected dual-task gait data from a computerized walkway of a total of 92 subjects with 31 healthy control (HC) and 61 MCI. Using support vector machine (SVM) and gradient tree boosting, we developed a classifier to differentiate MCI from HC subjects and compared the results with a paper-based questionnaire assessment that has been commonly used in clinical practice. SVM provided the highest accuracy of 77.17% with 81.97% sensitivity and 67.74% specificity. Our results indicate the potential of machine learning + dual-task assessment to enable early diagnosis of cognitive decline before it advances to dementia and AD, so that early intervention or prevention strategies can be initiated.
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95
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Abstract
BACKGROUND Motoric cognitive risk (MCR) syndrome is a cognitive-motor syndrome associated with increased risk of transition to dementia. The clinical phenotype of MCR is not yet established. OBJECTIVE To systematically assess clinical gait abnormalities in older adults with MCR. METHODS Of the 522 community-dwelling non-demented adults aged 65 and older enrolled in the Central Control of Mobility in Aging study, 43 were diagnosed with MCR (47% women) based on presence of cognitive complaints and slow gait velocity (MCRv). Four additional subtypes of MCR were defined by substituting slow gait with short stride length (MCRsl, n = 41), slow swing time (MCRsw, n = 21), high stride length variability (MCRslv, n = 24), and high swing time variability (MCRswv, n = 25). The prevalence of clinical gait abnormalities (neurological or non-neurological) in MCR overall (n = 81) and subtypes was studied. We also examined if gait abnormalities predicted further cognitive and functional decline in MCR cases. RESULTS Most clinical gait abnormalities were mild (walked without assistance) in the five MCR subtypes (44 to 61%). Neurological (range 24 to 46%) and non-neurological gait abnormalities (33 to 61%) were common in all MCR subtypes. Neurological gaits were most frequent in MCRsl (46%) and non-neurological gaits in MCRv (61%). Over a median 3.02 years of follow-up, presence of gait abnormality in MCR cases at baseline predicted worsening disability scores (estimate 0.17, p-value = 0.033) but not decline on cognitive scores (p-value = 0.056). CONCLUSION Clinical gait abnormalities are common in MCR syndrome and its subtypes, and are associated with accelerated functional decline.
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Affiliation(s)
- Emmeline Ayers
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Joe Verghese
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
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96
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Dao E, Hsiung GYR, Sossi V, Tam R, Shahinfard E, Nicklin E, Al Keridy W, Liu-Ambrose T. Cerebral Amyloid-β Deposition Is Associated with Impaired Gait Speed and Lower Extremity Function. J Alzheimers Dis 2020; 71:S41-S49. [PMID: 30741682 DOI: 10.3233/jad-180848] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Impaired physical function (i.e., slowing of gait, muscle weakness, and poor mobility) is common in older adults with cognitive impairment and dementia. Evidence suggests that cerebral small vessel disease, specifically white matter lesions (WMLs), is associated with impaired physical function, but little research has been conducted to understand the specific role of Alzheimer's disease pathology in physical outcomes. OBJECTIVE The objective of this study was to examine the association between cerebral amyloid-β (Aβ) deposition and physical function in people with cognitive impairment. METHODS Thirty participants completed an 11C Pittsburgh compound B (PIB) position emission tomography (PET) scan to quantify global Aβ deposition using standardized uptake value ratio (SUVR). We assessed usual gait speed, muscle strength of the lower extremities, balance, and functional mobility using the Short Physical Performance Battery (SPPB) and the Timed Up and Go Test (TUGT). Multiple linear regression analyses examined the association between Aβ and each measure of physical function, adjusting for age, body mass index, and WML load. RESULTS Global PIB SUVR was significantly associated with usual gait speed (β= -0.52, p = 0.01) and SPPB performance (β= -0.47, p = 0.02), such that increased Aβ deposition was associated with reduced performance on both measures. Global PIB SUVR was not significantly associated with TUGT performance (β= 0.32, p = 0.08). CONCLUSIONS Cerebral Aβ deposition is associated with reduced gait speed, muscle strength, and balance in older adults with cognitive impairment independent of WML load. However, Aβ deposition was not associated with functional mobility.
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Affiliation(s)
- Elizabeth Dao
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Ging-Yuek Robin Hsiung
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, Vancouver, Canada.,Division of Neurology, UBC, Vancouver, Canada
| | - Vesna Sossi
- Department of Physics and Astronomy, UBC, Vancouver, Canada
| | - Roger Tam
- Department of Radiology, UBC, Vancouver, Canada.,School of Biomedical Engineering, UBC, Vancouver, Canada
| | | | - Eloise Nicklin
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Walid Al Keridy
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, Vancouver, Canada.,Division of Neurology, UBC, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia (UBC), Vancouver, Canada.,Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, Vancouver, Canada.,Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, Canada
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97
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Kueper JK, Lizotte DJ, Montero-Odasso M, Speechley M. Cognition and motor function: The gait and cognition pooled index. PLoS One 2020; 15:e0238690. [PMID: 32915845 PMCID: PMC7485843 DOI: 10.1371/journal.pone.0238690] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 08/21/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND There is a need for outcome measures with improved responsiveness to changes in pre-dementia populations. Both cognitive and motor function play important roles in neurodegeneration; motor function decline is detectable at early stages of cognitive decline. This proof of principle study used a Pooled Index approach to evaluate improved responsiveness of the predominant outcome measure (ADAS-Cog: Alzheimer's Disease Assessment Scale-Cognitive Subscale) when assessment of motor function is added. METHODS Candidate Pooled Index variables were selected based on theoretical importance and pairwise correlation coefficients. Kruskal-Wallis and Mann-Whitney U tests assessed baseline discrimination. Standardized response means assessed responsiveness to longitudinal change. RESULTS Final selected variables for the Pooled Index include gait velocity, dual-task cost of gait velocity, and an ADAS-Cog-Proxy (statistical approximation of the ADAS-Cog using similar cognitive tests). The Pooled Index and ADAS-Cog-Proxy scores had similar ability to discriminate between pre-dementia syndromes. The Pooled Index demonstrated trends of similar or greater responsiveness to longitudinal decline than ADAS-Cog-Proxy scores. CONCLUSION Adding motor function assessments to the ADAS-Cog may improve responsiveness in pre-dementia populations.
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Affiliation(s)
- Jacqueline K Kueper
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Daniel J Lizotte
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Department of Computer Science, Faculty of Science, University of Western Ontario, London, Ontario, Canada
- Department of Statistical and Actuarial Sciences, Faculty of Science, University of Western Ontario, London, Ontario, Canada
- Master of Public Health Program, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Manuel Montero-Odasso
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Division of Geriatric Medicine, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Mark Speechley
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Master of Public Health Program, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
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98
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Fuentes-Abolafio IJ, Stubbs B, Pérez-Belmonte LM, Bernal-López MR, Gómez-Huelgas R, Cuesta-Vargas A. Functional parameters indicative of mild cognitive impairment: a systematic review using instrumented kinematic assessment. BMC Geriatr 2020; 20:282. [PMID: 32778071 PMCID: PMC7418187 DOI: 10.1186/s12877-020-01678-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 07/27/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Patients with mild cognitive impairment (MCI) experience alterations of functional parameters, such as an impaired balance or gait. The current systematic review set out to investigate whether functional objective performance may predict a future risk of MCI; to compare functional objective parameters in patients with MCI and a control group; and to assess changes in these parameters after different physical activity interventions. METHODS Electronic databases, including PubMed, AMED, CINAHL, EMBASE, PEDro and Web of Science as well as grey literature databases, were searched from inception to February 2020. Cohort studies and Randomized Controlled Trials (RCTs) were included. The risk of bias of the included studies was assessed independently by reviewers using quality assessment checklists. The level of evidence per outcome was assessed using the GRADE criteria. RESULTS Seventeen studies met inclusion criteria including patients with MCI. Results from RCTs suggested that gait speed, gait variability and balance may be improved by different physical activity interventions. Cohort studies showed that slower gait speed, above all, under Dual Task (DT) conditions, was the main impaired parameter in patients with MCI in comparison with a Control Gorup. Furthermore, cohort studies suggested that gait variability could predict an incident MCI. Although most of included cohort studies reported low risk of bias, RCTs showed an unclear risk of bias. CONCLUSIONS Studies suggest that gait variability may predict an incident MCI. Moreover, different gait parameters, above all under DT conditions, could be impaired in patients with MCI. These parameters could be improved by some physical activity interventions. Although cohort studies reported low risk of bias, RCTs showed an unclear risk of bias and GRADE criteria showed a low level of evidence per outcome, so further studies are required to refute our findings. PROSPERO CRD42019119180.
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Affiliation(s)
- Iván José Fuentes-Abolafio
- Department of Physiotherapy, Faculty of Health Science, University ofMálaga. Biomedical Research Institute of Malaga (IBIMA), Clinimetric Group FE-14, Málaga, Spain. Av/ Arquitecto Peñalosa s/n (Teatinos Campus Expansion), 29071, Malaga, Spain
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, UK.,Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Positive Ageing Research Intitute (PARI), Faculty of Health Social Care and Education, Anglia Ruskin University, Chelmsford, UK
| | - Luis Miguel Pérez-Belmonte
- Internal Medicine Department, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Málaga, Málaga, Spain.,Unidad de Neurofisiología Cognitiva, Centro de Investigaciones Médico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), Universidad de Málaga (UMA), Campus de Excelencia Internacional (CEI) Andalucía Tech, Málaga, Spain.,Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - María Rosa Bernal-López
- Internal Medicine Department, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Málaga, Málaga, Spain.,CIBER Fisio-patología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Ricardo Gómez-Huelgas
- Internal Medicine Department, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Málaga, Málaga, Spain.,CIBER Fisio-patología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio Cuesta-Vargas
- Department of Physiotherapy, Faculty of Health Science, University ofMálaga. Biomedical Research Institute of Malaga (IBIMA), Clinimetric Group FE-14, Málaga, Spain. Av/ Arquitecto Peñalosa s/n (Teatinos Campus Expansion), 29071, Malaga, Spain. .,School of Clinical Sciences, Faculty of Health at the Queensland University of Technology, Brisbane, Queensland, Australia.
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99
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Martini DN, Parrington L, Stuart S, Fino PC, King LA. Gait Performance in People with Symptomatic, Chronic Mild Traumatic Brain Injury. J Neurotrauma 2020; 38:218-224. [PMID: 32495691 DOI: 10.1089/neu.2020.6986] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
There is a dearth of knowledge about how symptom severity affects gait in the chronic (>3 months) mild traumatic brain injury (mTBI) population despite up to 53% of people reporting persisting symptoms after mTBI. The aim of this investigation was to determine whether gait is affected in a symptomatic, chronic mTBI group and to assess the relationship between gait performance and symptom severity on the Neurobehavioral Symptom Inventory (NSI). Gait was assessed under single- and dual-task conditions using five inertial sensors in 57 control subjects and 65 persons with chronic mTBI (1.0 year from mTBI). The single- and dual-task gait domains of Pace, Rhythm, Variability, and Turning were calculated from individual gait characteristics. Dual-task cost (DTC) was calculated for each domain. The mTBI group walked (domain z-score mean difference, single-task = 0.70; dual-task = 0.71) and turned (z-score mean difference, single-task = 0.69; dual-task = 0.70) slower (p < 0.001) under both gait conditions, with less rhythm under dual-task gait (z-score difference = 0.21; p = 0.001). DTC was not different between groups. Higher NSI somatic subscore was related to higher single- and dual-task gait variability as well as slower dual-task pace and turning (p < 0.01). Persons with chronic mTBI and persistent symptoms exhibited altered gait, particularly under dual-task, and worse gait performance related to greater symptom severity. Future gait research in chronic mTBI should assess the possible underlying physiological mechanisms for persistent symptoms and gait deficits.
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Affiliation(s)
- Douglas N Martini
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.,Veterans Affairs Portland Healthcare System, Portland, Oregon, USA
| | - Lucy Parrington
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.,Veterans Affairs Portland Healthcare System, Portland, Oregon, USA
| | - Samuel Stuart
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.,Veterans Affairs Portland Healthcare System, Portland, Oregon, USA.,Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Peter C Fino
- Department of Health, Kinesiology, and Recreation, University of Utah, Salt Lake City, Utah, USA
| | - Laurie A King
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.,Veterans Affairs Portland Healthcare System, Portland, Oregon, USA
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100
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Polhemus AM, Bergquist R, Bosch de Basea M, Brittain G, Buttery SC, Chynkiamis N, Dalla Costa G, Delgado Ortiz L, Demeyer H, Emmert K, Garcia Aymerich J, Gassner H, Hansen C, Hopkinson N, Klucken J, Kluge F, Koch S, Leocani L, Maetzler W, Micó-Amigo ME, Mikolaizak AS, Piraino P, Salis F, Schlenstedt C, Schwickert L, Scott K, Sharrack B, Taraldsen K, Troosters T, Vereijken B, Vogiatzis I, Yarnall A, Mazza C, Becker C, Rochester L, Puhan MA, Frei A. Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review. BMJ Open 2020; 10:e038704. [PMID: 32690539 PMCID: PMC7371223 DOI: 10.1136/bmjopen-2020-038704] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 05/14/2020] [Accepted: 05/18/2020] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Advances in wearable sensor technology now enable frequent, objective monitoring of real-world walking. Walking-related digital mobility outcomes (DMOs), such as real-world walking speed, have the potential to be more sensitive to mobility changes than traditional clinical assessments. However, it is not yet clear which DMOs are most suitable for formal validation. In this review, we will explore the evidence on discriminant ability, construct validity, prognostic value and responsiveness of walking-related DMOs in four disease areas: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease and proximal femoral fracture. METHODS AND ANALYSIS Arksey and O'Malley's methodological framework for scoping reviews will guide study conduct. We will search seven databases (Medline, CINAHL, Scopus, Web of Science, EMBASE, IEEE Digital Library and Cochrane Library) and grey literature for studies which (1) measure differences in DMOs between healthy and pathological walking, (2) assess relationships between DMOs and traditional clinical measures, (3) assess the prognostic value of DMOs and (4) use DMOs as endpoints in interventional clinical trials. Two reviewers will screen each abstract and full-text manuscript according to predefined eligibility criteria. We will then chart extracted data, map the literature, perform a narrative synthesis and identify gaps. ETHICS AND DISSEMINATION As this review is limited to publicly available materials, it does not require ethical approval. This work is part of Mobilise-D, an Innovative Medicines Initiative Joint Undertaking which aims to deliver, validate and obtain regulatory approval for DMOs. Results will be shared with the scientific community and general public in cooperation with the Mobilise-D communication team. REGISTRATION Study materials and updates will be made available through the Center for Open Science's OSFRegistry (https://osf.io/k7395).
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Affiliation(s)
- Ashley Marie Polhemus
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zürich, Switzerland
| | - Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Magda Bosch de Basea
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Gavin Brittain
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield, UK
| | | | - Nikolaos Chynkiamis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, Tyne and Wear, UK
| | | | - Laura Delgado Ortiz
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Heleen Demeyer
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | - Kirsten Emmert
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | - Judith Garcia Aymerich
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Heiko Gassner
- Department of Molecular Neurology, Erlangen University Hospital, Erlangen, Bayern, Germany
| | - Clint Hansen
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | | | - Jochen Klucken
- Department of Molecular Neurology, Erlangen University Hospital, Erlangen, Bayern, Germany
| | - Felix Kluge
- Machine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - Sarah Koch
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Letizia Leocani
- Department of Neurology, San Raffaele Hospital, Milan, Italy
| | - Walter Maetzler
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | - M Encarna Micó-Amigo
- Translational and Clinical Research Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - A Stefanie Mikolaizak
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - Paolo Piraino
- Department of Research & Early Development Statistics, Bayer AG, Berlin, Germany
| | - Francesca Salis
- Department of Biomedical Sciences, University of Sassari, Sassari, Sardegna, Italy
| | - Christian Schlenstedt
- Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | - Lars Schwickert
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - Kirsty Scott
- INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, Sheffield, UK
| | - Basil Sharrack
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield, UK
| | - Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Thierry Troosters
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Flanders, Belgium
| | - Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Ioannis Vogiatzis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, Tyne and Wear, UK
| | - Alison Yarnall
- Translational and Clinical Research Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - Claudia Mazza
- INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sheffield, Sheffield, UK
- Department of Mechanical Engineering, The University of Sheffield, Sheffield, Sheffield, UK
| | - Clemens Becker
- Department of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany
| | - Lynn Rochester
- Translational and Clinical Research Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - Milo Alan Puhan
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zürich, Switzerland
| | - Anja Frei
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zürich, Switzerland
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