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Duan Q, Zhang Y, Zhuang W, Li W, He J, Wang Z, Cheng H. Gait Domains May Be Used as an Auxiliary Diagnostic Index for Alzheimer's Disease. Brain Sci 2023; 13:1599. [PMID: 38002557 PMCID: PMC10669801 DOI: 10.3390/brainsci13111599] [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: 10/25/2023] [Revised: 11/10/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a progressive neurodegenerative disorder with cognitive dysfunction and behavioral impairment. We aimed to use principal components factor analysis to explore the association between gait domains and AD under single and dual-task gait assessments. METHODS A total of 41 AD participants and 41 healthy control (HC) participants were enrolled in our study. Gait parameters were measured using the JiBuEn® gait analysis system. The principal component method was used to conduct an orthogonal maximum variance rotation factor analysis of quantitative gait parameters. Multiple logistic regression was used to adjust for potential confounding or risk factors. RESULTS Based on the factor analysis, three domains of gait performance were identified both in the free walk and counting backward assessments: "rhythm" domain, "pace" domain and "variability" domain. Compared with HC, we found that the pace factor was independently associated with AD in two gait assessments; the variability factor was independently associated with AD only in the counting backwards assessment; and a statistical difference still remained after adjusting for age, sex and education levels. CONCLUSIONS Our findings indicate that gait domains may be used as an auxiliary diagnostic index for Alzheimer's disease.
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Affiliation(s)
- Qi Duan
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; (Q.D.); (W.Z.); (J.H.); (Z.W.)
| | - Yinuo Zhang
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou 325000, China;
| | - Weihao Zhuang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; (Q.D.); (W.Z.); (J.H.); (Z.W.)
| | - Wenlong Li
- Radiotherapy Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China;
| | - Jincai He
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; (Q.D.); (W.Z.); (J.H.); (Z.W.)
| | - Zhen Wang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; (Q.D.); (W.Z.); (J.H.); (Z.W.)
| | - Haoran Cheng
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; (Q.D.); (W.Z.); (J.H.); (Z.W.)
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Suri A, VanSwearingen J, Rosano C, Brach JS, Redfern MS, Sejdić E, Rosso AL. Uneven surface and cognitive dual-task independently affect gait quality in older adults. Gait Posture 2023; 106:34-41. [PMID: 37647710 PMCID: PMC10591986 DOI: 10.1016/j.gaitpost.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 07/07/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Real-world mobility involves walking in challenging conditions. Assessing gait during simultaneous physical and cognitive challenges provides insights on cognitive health. RESEARCH QUESTION How does uneven surface, cognitive task, and their combination affect gait quality and does this gait performance relate to cognitive functioning? METHODS Community-dwelling older adults (N = 104, age=75 ± 6 years, 60 % females) performed dual-task walking paradigms (even and uneven surface; with and without alphabeting cognitive task (ABC)) to mimic real-world demands. Gait quality measures [speed(m/s), rhythmicity(steps/minute), stride time variability (%), adaptability (m/s2), similarity, smoothness, power (Hz) and regularity] were calculated from an accelerometer worn on the lower back. Linear-mixed modelling and Tukey analysis were used to analyze independent effects of surface and cognitive task and their interaction on gait quality. Partial Spearman correlations compared gait quality with global cognition and executive function. RESULTS No interaction effects between surface and cognitive task were found. Uneven surface reduced gait speed(m/s) (β = -0.07). Adjusted for speed, uneven surface reduced gait smoothness (β = -0.27) and increased regularity (β = 0.09), Tukey p < .05, for even vs uneven and even-ABC vs uneven-ABC. Cognitive task reduced gait speed(m/s) (β = -0.12). Adjusted for speed, cognitive task increased variability (β = 7.60), reduced rhythmicity (β = -6.68) and increased regularity (β = 0.05), Tukey p < .05, for even vs even-ABC and uneven vs uneven-ABC. With demographics as covariates, gait speed was not associated with cognition. Gait quality [lower variability during even-ABC (ρp =-.31) and uneven-ABC (ρp =-.28); greater rhythmicity (ρp between.22 and.29) and greater signal-adaptability AP (ρp between.22 and.26) during all walking tasks] was associated with better global cognition. Gait adaptability during even (ρp =-0.21, p = 0.03) and uneven(ρp =-0.19, p = 0.04) walking was associated with executive function. SIGNIFICANCE Surface and cognitive walking tasks independently affected gait quality. Our study with high-functioning older adults suggests that task-related changes in gait quality are related to subtle changes in cognitive functioning.
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Affiliation(s)
- Anisha Suri
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, PA, USA
| | - Jessie VanSwearingen
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, PA, USA
| | - Caterina Rosano
- Department of Epidemiology, School of Public Health, University of Pittsburgh, PA, USA
| | - Jennifer S Brach
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, PA, USA
| | - Mark S Redfern
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, PA, USA
| | - Ervin Sejdić
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, PA, USA; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada; North York General Hospital, Toronto, ON, Canada
| | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, PA, USA.
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Elkjær E, Mikkelsen MB, Michalak J, Mennin DS, O'Toole MS. Motor alterations in depression and anxiety disorders: A systematic review and meta-analysis. J Affect Disord 2022; 317:373-387. [PMID: 36037990 DOI: 10.1016/j.jad.2022.08.060] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 05/19/2022] [Accepted: 08/21/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Psychomotor retardation has long been recognized as a major feature of depression, and anxiety disorders have been linked with freeze and flight motor responses. This systematic review and meta-analysis aimed a) to synthesize available evidence of motor alterations comparing individuals with depression and anxiety disorders to healthy individuals and b) to evaluate the effect of experimental manipulations of motor displays within these clinical groups. METHOD The databases PubMed and PsycINFO were searched for studies either assessing motor differences between clinical and healthy control groups or manipulating the motor system within a clinical group. RESULTS The literature search yielded 87 relevant papers, comprising 82 studies comparing a clinical group to a healthy group and 5 studies investigating motor manipulations within a clinical sample. The results of the meta-analysis (K = 71) indicated a statistically significant combined estimate of differences between healthy and clinical groups (g = 0.38 [0.31, 0.45], adjusted for publication bias g = 0.26 [0.19, 0.33]) of a small size. This effect did not vary according to type of disorder (anxiety vs. depression, p = .468). From a narrative review of experimental studies within clinical groups, four out of five studies reported statistically significant effects of manipulating the motor system on affective outcomes. DISCUSSION This synthesis adds to the accumulating empirical evidence of motor alterations in depression and anxiety disorders. Future research will need to investigate how individuals suffering from depression or anxiety disorders could benefit from psychological, behavioral, and physical interventions directly aimed at the motor system.
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Affiliation(s)
- Emma Elkjær
- Department for Psychology and Behavioral Sciences, Aarhus University, Denmark.
| | - Mai B Mikkelsen
- Department for Psychology and Behavioral Sciences, Aarhus University, Denmark
| | - Johannes Michalak
- Department of Psychology and Psychotherapy, Witten/Herdecke University, Germany
| | - Douglas S Mennin
- Department of Psychology, Teachers College, Columbia University, New York, NY, United States of America
| | - Mia S O'Toole
- Department for Psychology and Behavioral Sciences, Aarhus University, Denmark.
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Zheng Y, Lang S, Liang J, Jiang Y, Zhao B, Chen H, Huang D, Li Q, Liu H, Chen S, Yilifate A, Xu F, Ou H, Lin Q. Effects of motor-cognitive interaction based on dual-task gait analysis recognition in middle age to aging people with normal cognition and mild cognitive impairment. Front Aging Neurosci 2022; 14:969822. [PMID: 36268186 PMCID: PMC9577255 DOI: 10.3389/fnagi.2022.969822] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Background Mild cognitive impairment (MCI) is considered a transitional stage between cognitive normality and dementia among the elderly, and its associated risk of developing Alzheimer's disease (AD) is 10-15 times higher than that of the general population. MCI is an important threshold for the prevention and control of AD, and intervention in the MCI stage may be the most effective strategy to delay the occurrence of AD. Materials and methods In this study, 68 subjects who met the inclusion criteria were divided into an MCI group (38 subjects) and normal elderly (NE) group (30 subjects). Both groups underwent clinical function assessments (cognitive function, walking function, and activities of daily living) and dual-task three-dimensional gait analysis (walking motor task and walking calculation task). Spatial-temporal parameters were obtained and reduced by principal component analysis, and the key biomechanical indexes were selected. The dual-task cost (DTC) was calculated for intra-group (task factor) and inter-group (group factor) comparisons. Results The results of the principal component analysis showed that the cadence parameter had the highest weight in all three walking tasks. In addition, there were significant differences in the cadence both walking motor task (WMT) vs. walking task (WT) and walking calculation task (WCT) vs. WT in the MCI group. The cadence in the NE group only showed a significant difference between WMT and WT. The only differences between the MCI group and NE group was DTC cadence in WCT, and no differences were found for cadence in any of the three walking tasks. Conclusion The results show that dual tasks based on cognitive-motor gait analysis of DTCcadence in MCI have potential value for application in early identification and provide theoretical support to improve the clinical diagnosis of MCI.
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Affiliation(s)
- Yuxin Zheng
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Shijuan Lang
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Junjie Liang
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Yongchun Jiang
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Biyi Zhao
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Hongxin Chen
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Dongqing Huang
- Health Science Center, Shenzhen University, Shenzhen, China
| | - Qinyi Li
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, China
| | - Huijin Liu
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Shudi Chen
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Anniwaer Yilifate
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Fangqiu Xu
- Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China
| | - Haining Ou
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiang Lin
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation, Fifth Clinical College, Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Abstract
OBJECTIVES Age-related variations in emotional, physical, and cognitive health are poorly understood. This multimethod study extends previous work by investigating mechanistic models by which trait mindfulness, perceived stress, and negative affect (NA) influence health outcomes in adults aged 57-87 years old. METHOD In this cross-sectional study, 119 adults completed clinical interviews, cognitive and gait assessments, the Mindful Attention and Awareness Scale, Positive and Negative Affect Schedule, and Perceived Stress Scale. Gait velocity and executive function (Flanker test of inhibitory control), which are important predictors of global health and functioning in older adults, served as objective health outcome measures. RESULTS Correlational analyses found that trait mindfulness is positively associated with age, gait velocity, and inhibitory control and negatively associated with NA and perceived stress. NA but not perceived stress was associated with slower gait velocity. PROCESS mediation analyses suggested that those higher in trait mindfulness showed lower NA as a result of less perceived stress, while moderation analyses indicated the relationship between gait velocity and age varied by levels of trait mindfulness. CONCLUSION Our findings are consistent with a mindfulness stress-buffering model of health. It is plausible that trait mindfulness, which has both mediating and moderating effects on health, might help to promote more successful aging and provide resilience to age-related declines in physical health.
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Affiliation(s)
| | - Lily F Brown
- Department of Psychology, University of Maine, Orono, ME, USA
| | - Laura Moore
- Department of Psychology, University of Maine, Orono, ME, USA
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Kirshner D, Spiegelhalder K, Shahar RT, Shochat T, Agmon M. The association between objective measurements of sleep quality and postural control in adults: A systematic review. Sleep Med Rev 2022; 63:101633. [DOI: 10.1016/j.smrv.2022.101633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/18/2022] [Accepted: 04/03/2022] [Indexed: 01/31/2023]
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Kasiukiewicz A, Magnuszewski L, Swietek M, Wojszel ZB. The Performance of Dual-Task Tests Can Be a Combined Neuro-Psychological and Motor Marker of Mild Cognitive Impairment, Depression and Dementia in Geriatric Patients-A Cross-Sectional Study. J Clin Med 2021; 10:5358. [PMID: 34830639 PMCID: PMC8620119 DOI: 10.3390/jcm10225358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 10/25/2021] [Accepted: 11/10/2021] [Indexed: 01/10/2023] Open
Abstract
The study aims to assess the performance of dual-task tests in the geriatric population and their association with the cognitive status of the patients. METHODS Patients admitted to the Department of Geriatrics, Hospital of the Ministry of Interior and Administration on Bialystok, Poland, in 2019 and 2020 were enrolled in the study. Data on the patients' clinical, functional, and cognitive status were collected based on the comprehensive geriatric assessment. Dual-task tests included Timed Up and Go (TUG) test while counting backward (CB7), enumerating animals (EA), and holding a cup (TUG M). RESULTS 250 patients were included in the study, with a median age of 81.5 years (IQR 76-86) and most above 75 years of age (80.8%). Only 29 (11.6%) of study participants had no cognitive or mood disorders. Depression was diagnosed in 30.4%, MCI in 12%, and dementia in 38.4% of cases with median Mini-Mental Score Evaluation (MMSE) 17 (12-20) points. Dual-task TUG CB7 results did not differ between cognitive conditions of patients. TUG EA differed between healthy controls and other cognitive groups and TUG between healthy controls and depression and dementia, but not mild cognitive impairment (MCI). The performance of all dual-task tests differed in patients with and without dementia. Ability to finish TUG CB7 was low even in the group without dementia. There were statistically significant differences in median scores of MMSE and Clock Drawing Test (CDT) between patients who were able or not to finish single and dual-task gait tests. CONCLUSION Dual-task test results and the performance of these tasks can differentiate patients with depression, MCI and dementia compared to healthy controls in the geriatric population.
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Affiliation(s)
- Agnieszka Kasiukiewicz
- Department of Geriatrics, Medical University of Bialystok, 15-471 Bialystok, Poland;
- Department of Geriatrics, Hospital of the Ministry of Interior and Administration in Bialystok, 15-471 Bialystok, Poland; (L.M.); (M.S.)
| | - Lukasz Magnuszewski
- Department of Geriatrics, Hospital of the Ministry of Interior and Administration in Bialystok, 15-471 Bialystok, Poland; (L.M.); (M.S.)
- Doctoral Studies, Department of Geriatrics, Faculty of Health Sciences, Medical University of Bialystok, 15-471 Bialystok, Poland
| | - Marta Swietek
- Department of Geriatrics, Hospital of the Ministry of Interior and Administration in Bialystok, 15-471 Bialystok, Poland; (L.M.); (M.S.)
- Doctoral Studies, Department of Geriatrics, Faculty of Health Sciences, Medical University of Bialystok, 15-471 Bialystok, Poland
| | - Zyta Beata Wojszel
- Department of Geriatrics, Medical University of Bialystok, 15-471 Bialystok, Poland;
- Department of Geriatrics, Hospital of the Ministry of Interior and Administration in Bialystok, 15-471 Bialystok, Poland; (L.M.); (M.S.)
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MacAulay RK, Boeve A, D'Errico L, Halpin A, Szeles DM, Wagner MT. Slower gait speed increases risk of falling in older adults with depression and cognitive complaints. PSYCHOL HEALTH MED 2021; 27:1576-1581. [PMID: 33779435 DOI: 10.1080/13548506.2021.1903056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Slowed gait is one of the strongest predictors of fall risk in older adults. The present study investigated whether gait speed mediated the relationship between depression and fall history in 147 older adults presenting to a memory clinic for cognitive complaints. Depression, cognitive status, gait speed, and number of falls within the last year were the primary measures. Results revealed fallers, relative to non-fallers, had slower gait speed and higher depression scores. As hypothesized, analyses using the PROCESS macro found that gait mediated the relationship between depression and fall history. Additionally, the combination of depression and mild cognitive impairments (MCI) associated with a significantly greater likelihood of falling. Our findings indicate that combined depression and MCI have additive effects on fall risk, likely through the destabilizing effect of slowed gait on balance. Better understanding the underlying pathophysiology involved in MCI and depression-related gait disturbances may lead to improved intervention targets for fall risk prevention.
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Affiliation(s)
- Rebecca K MacAulay
- Department of Psychology, University of Maine 301 Little Hall, Orono, ME, USA
| | - Angelica Boeve
- Department of Psychology, University of Maine 301 Little Hall, Orono, ME, USA
| | - Lisa D'Errico
- Department of Psychology, University of Maine 301 Little Hall, Orono, ME, USA
| | - Amy Halpin
- Department of Psychology, University of Maine 301 Little Hall, Orono, ME, USA
| | - Dana M Szeles
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - Mark T Wagner
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
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Mancioppi G, Fiorini L, Rovini E, Cavallo F. The use of Motor and Cognitive Dual-Task quantitative assessment on subjects with mild cognitive impairment: A systematic review. Mech Ageing Dev 2020; 193:111393. [PMID: 33188785 DOI: 10.1016/j.mad.2020.111393] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 11/01/2020] [Accepted: 11/02/2020] [Indexed: 12/19/2022]
Abstract
Dementia and Alzheimer's Disease (AD) represent a health emergency. The identification of valid and noninvasive markers to identify people with Mild Cognitive Impairment (MCI) is profoundly advocated. This review outlines the use of quantitative Motor and Cognitive Dual-Task (MCDT) on MCI, by technologies aid. We describe the framework and the most valuable researches, displaying the adopted protocols, and the available technologies. PubMed Central, Web of Science, and Scopus were inspected between January 2010 and May 2020. 1939 articles were found in the initial quest. Exclusion criteria allowed the selection of the most relevant papers; 38 papers were included. The articles, regarding four technological solutions "wearable sensors", "personal devices", "optokinetic systems", and "electronic walkways", are organized into three categories: "Quantitative MCDT", "MCDT Inspired by Neuropsychological Test", and "MCDT for MCI Stimulation". MCDT might furnish clinical landmarks, supplying aid for disease stratication, risk prediction, and intervention optimization. Such protocols could foster the use of data mining and machine learning techniques. Notwithstanding, there is still a need to standardize and harmonize such protocols.
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Affiliation(s)
- Gianmaria Mancioppi
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, Pontedera (PI), 56025 Pisa, Italy; Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127, Pisa, Italy
| | - Laura Fiorini
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, Pontedera (PI), 56025 Pisa, Italy; Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127, Pisa, Italy
| | - Erika Rovini
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, Pontedera (PI), 56025 Pisa, Italy; Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127, Pisa, Italy
| | - Filippo Cavallo
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, Pontedera (PI), 56025 Pisa, Italy; Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127, Pisa, Italy; Department of Industrial Engineering, University of Florence, Via Santa Marta 3, 50139 Florence, Italy.
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Gait Change in Dual Task as a Behavioral Marker to Detect Mild Cognitive Impairment in Elderly Persons: A Systematic Review and Meta-analysis. Arch Phys Med Rehabil 2020; 101:1813-1821. [DOI: 10.1016/j.apmr.2020.05.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 05/19/2020] [Accepted: 05/23/2020] [Indexed: 12/21/2022]
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Deligianni F, Guo Y, Yang GZ. From Emotions to Mood Disorders: A Survey on Gait Analysis Methodology. IEEE J Biomed Health Inform 2019; 23:2302-2316. [PMID: 31502995 DOI: 10.1109/jbhi.2019.2938111] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Mood disorders affect more than 300 million people worldwide and can cause devastating consequences. Elderly people and patients with neurological conditions are particularly susceptible to depression. Gait and body movements can be affected by mood disorders, and thus they can be used as a surrogate sign, as well as an objective index for pervasive monitoring of emotion and mood disorders in daily life. Here we review evidence that demonstrates the relationship between gait, emotions and mood disorders, highlighting the potential of a multimodal approach that couples gait data with physiological signals and home-based monitoring for early detection and management of mood disorders. This could enhance self-awareness, enable the development of objective biomarkers that identify high risk subjects and promote subject-specific treatment.
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