Association between gait and cognition in an elderly population based sample

Combined diagnosis for Parkinson's disease via gait and eye movement disorders

BACKGROUND AND OBJECTIVES

With the discovery of the potential role of gait and eye movement disorders in Parkinson's disease (PD) recognition, we intend to investigate the combined diagnostic value of gait and eye movement disorders for PD.

METHODS

We enrolled some Chinese PD patients and healthy controls and separated them into the training and validation sets based on enrollment time. Performance in five oculomotor paradigms and in one gait paradigm was examined using an infrared eye tracking device and a wearable gait analysis device. We developed and validated a combined model for PD diagnosis via multivariate stepwise logistic regression analysis. Furthermore, subgroup comparisons and multi-model comparison were performed to assess its applicability and advantages.

RESULTS

A total of 145 PD patients and 80 healthy controls in China were recruited. The pro-saccade velocity, the trunk-sway max, and the turn mean angular velocity were finally screened out for the model development. Incorporating age factor, the ternary model demonstrated more satisfactory performance on ROC (AUC of 0.953 in the training set and AUC of 0.972 in the validation set), calibration curve, and decision curve. A nomogram was drawn to visualize the model. The combined model outperforms individual models with a broad application and the unique diagnostic value for early detection of PD patients, especially TD-PD patients.

CONCLUSION

We demonstrated the presence of gait and eye movement disorders, as well as the feasibility, applicability, and superiority of employing them together to diagnose PD.

Stride length and cerebellar regulation: Key features of early gait disorder in cerebral small vessel disease

OBJECTIVES

Gait disorder (GD) is a common problem in cerebral small vessel disease (CSVD). This study aimed to determine (1) the early characteristics of GD in CSVD, (2) cerebellar neuroimaging features related to GD in CSVD, and (3) the association of cognitive impairment with GD.

METHODS

In total, 183 subjects were enrolled in this study: patients with CSVD with normal cognitive function (CSVD-NC) group (64 subjects), patients with CSVD with mild cognitive impairment (CSVD-MCI) group (66 subjects), and a healthy control (HC) group (53 subjects). The GD patterns were evaluated using the ReadyGo three-dimensional motion balance testing system. Meanwhile, we analyzed the cerebrum and cerebellum structurally and functionally. Correlation analyses were conducted among gait indicators, neuroimaging features, and neuropsychological tests.

RESULTS

Both the CSVD-NC and CSVD-MCI groups had a reduced stride length, cortical atrophy in the left cerebellum VIIIb, and decreased functional connectivity between the left cerebellum VIIIb and left SFGmed compared with the HC group. In the correlation analysis, the gray matter probability of the left cerebellum VIIIb was closely related to stride length in the HC group. In the CSVD-MCI group, linguistic function, memory, and attention were significantly correlated with gait performance.

CONCLUSION

Decreased stride length was the earliest characteristic of GD in CSVD. Structural and functional regulation of the left cerebellum VIIIb could play a particularly important role in early GD in CSVD.

The interplay between cognition, functional and dual-task gait in persons with a vestibular disorder versus healthy controls

Close links exist between vestibular function and cognition. Dual-task (DT) tests may have ecological validity to assess the impact of daily life cognitive-motor demands in people with vestibular dysfunction (PwVD), functional gait and falls risk. The present paper aimed at building predictive models for functional gait under DT conditions, while clarifying the impact of vestibular dysfunction, individual characteristics, varying task types and motor-cognitive demands. Case-controlled observational study with 39 PwVD and 62 healthy participants. The Functional Gait Assessment (FGA), with and without an additional motor, numeracy, or literacy task, was completed. Multiple linear regression was used to fit models to predict FGA under single and DT performance. Dual task cost (DTC, %) was calculated to assess DT interference on FGA performance using the equation: 100*(single task score-dual task score)/single-task score. Following Bonferroni corrections for multiple comparisons (corrected alpha level of 0.003), PwVD had poorer performance than controls for all FGA conditions (p < 0.001), motor (- 3.94%; p = 0.002) and numeracy (- 22.77%; p = 0.001) DTCs and spatial working memory (p = 0.002). The literacy DTC was marginally significant (- 19.39% p = 0.005). FGA single and DT motor, numeracy, and literacy models explained 76%, 76%, 66% and 67% of the variance respectively for PwVD. Sustained attention, visual memory and sex contributed to all models; short-term visual recognition memory, balance confidence, and migraine contributed to some models. Cognitive performance is impaired in PwVD. Motor, numeracy and literacy tasks impair functional gait performance. Cognitive assessment and FGA with a numeracy or literacy cognitive component should be included within assessment protocols and considered in the provision of targeted interventions for PwVD.

Effectiveness of physical exercise at improving functional capacity in older adults living with Alzheimer's disease: a systematic review of randomized controlled trials

PURPOSE

To investigate the effects of physical exercise at improving functional capacity in older adults living with Alzheimer's disease (AD).

METHODS

Medline, Embase, Web of Science, The Cochrane Library, Lilacs, and PEDro were searched from inception until January 2021. Randomized controlled trials (RCTs) that reported functional capacity outcomes were included. The evidence was assessed using the GRADE approach.

RESULTS

Thirteen RCTs were included, involving 811 older adults living with AD. Multimodal exercise (ME), aerobic exercise (AE), and resistance exercise (RE) were used. The interventions were mainly supervised by caregivers. The evidence was low and with effect for activities of daily living (ADLs), moderate and with no effect for mobility and very low and with no effect for muscle strength, postural balance and flexibility after treatment with ME, moderate and with no effect for cardiorespiratory function and ADLs after treatment with AE. It was not possible to synthesize any type of evidence for RE.

CONCLUSIONS

Multimodal exercise promotes improvements in functional capacity (ADLs). Therefore, the practice of physical exercise can be recommended for older adults living with AD. The involvement of the caregiver in the physical exercises should also be considered, as it could enhance the benefits of exercise for these older adults.Implications for rehabilitationHealthcare providers with clinical knowledge regarding physical exercise should promote, prescribe and support the daily practice of physical exercises for older adults living with Alzheimer's disease (AD).The involvement of caregivers in home-based physical exercise programs should be considered, as it could enhance the benefits of such programs for these older adults.It is important to consider the degree of cognitive impairment in older adults living with AD when outlining goals for the improvement in functional capacity through physical exercise.Multimodal exercise involving aerobic training, postural balance, muscle strengthening, and flexibility is capable of promoting an improvement in functional capacity (activities of daily living) for these older adults.

Gait variability predicts cognitive impairment in older adults with subclinical cerebral small vessel disease

Introduction

Advanced methods of gait research, including approaches to quantify variability, and orderliness/regularity/predictability, are increasingly used to identify patients at risk for the development of cognitive impairment. Cerebral small vessel disease (CSVD) is highly prevalent in older adults and is known to contribute to the development of vascular cognitive impairment and dementia (VCID). Studies in preclinical models demonstrate that subclinical alterations precede CSVD-related cognitive impairment in gait coordination. In humans, CSVD also associates with gait abnormalities. The present study was designed to test the hypothesis that increased gait variability and gait asymmetry predict a decline in cognitive performance in older adults with CSVD.

Methods

To test this hypothesis, we compared cognitive performance and gait function in patients with CSVD (age: 69.8 ± 5.3 years; n = 11) and age- and sex-matched control participants (age: 70.7 ± 5.8 years; n = 11). Based on imaging findings, patients with CSVD were identified [presence of white matter hyperintensities plus silent brain infarcts and/or microhemorrhages on magnetic resonance imaging (MRI) assessment]. Cognitive performance was assessed using the Cambridge Neuropsychological Test Automated Battery (CANTAB). Gait parameters were measured during the single and dual tasks, during which participants, in addition to the motor task, completed a series of mental arithmetic calculations. Spatial and temporal parameters of gait variability, symmetry, and permutation entropy were determined using a pressure-sensitive gait mat during single and dual cognitive task conditions.

Results

Patients with CSVD exhibited lower performance in a visual learning test (p = 0.030) and in a sustained attention test (p = 0.007). CSVD also affected step time variability (p = 0.009) and step length variability (p = 0.017). Step lengths of CSVD participants were more asymmetric (p = 0.043) than that of controls, while the two groups were statistically similar regarding step time symmetry and entropy of step time and length. Gait variability was inversely associated with sustained attention, especially among CSVD patients, and this relationship was significantly different between the two groups. The association of sustained attention with gait symmetry was also significantly different between the two groups.

Discussion

Our findings provide additional evidence in support of the concept that increased gait variability and asymmetry may predict cognitive impairment in older adults with CSVD.

Quantitative gait analysis in mild cognitive impairment, dementia, and cognitively intact individuals: a cross-sectional case-control study

Background

Cognitive age-related decline is linked to dementia development and gait has been proposed to measure the change in brain function. This study aimed to investigate if spatiotemporal gait variables could be used to differentiate between the three cognitive status groups.

Methods

Ninety-three older adults were screened and classified into three groups; mild cognitive impairment (MCI) (n = 32), dementia (n = 31), and a cognitively intact (n = 30). Spatiotemporal gait variables were assessed under single- and dual-tasks using an objective platform system. Effects of cognitive status and walking task were analyzed using a two-way ANCOVA. Sub-comparisons for between- and within-group were performed by one-way ANCOVA and Paired t-tests. Area Under the Curve (AUC) of Receiver Operating Characteristics (ROC) was used to discriminate between three groups on gait variables.

Results

There were significant effects (P < 0.05) of cognitive status during both single and dual-task walking in several variables between the MCI and dementia and between dementia and cognitively intact groups, while no difference was seen between the MCI and cognitively intact groups. A large differentiation effect between the groups was found for step length, stride length, and gait speed during both conditions of walking.

Conclusions

Spatiotemporal gait variables showed discriminative ability between dementia and cognitively intact groups in both single and dual-tasks. This suggests that gait could potentially be used as a clinical differentiation marker for individuals with cognitive problems.

Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson's Disease

Gait disturbance is a prototypical feature of Parkinson's disease (PD), and the quantification of gait using wearable sensors is promising. This study aimed to identify gait impairment in the early and progressive stages of PD according to the Hoehn and Yahr (H-Y) scale. A total of 138 PD patients and 56 healthy controls (HCs) were included in our research. We collected gait parameters using the JiBuEn gait-analysis system. For spatiotemporal gait parameters and kinematic gait parameters, we observed significant differences in stride length (SL), gait velocity, the variability of SL, heel strike angle, and the range of motion (ROM) of the ankle, knee, and hip joints between HCs and PD patients in H-Y Ⅰ-Ⅱ. The changes worsened with the progression of PD. The differences in the asymmetry index of the SL and ROM of the hip were found between HCs and patients in H-Y Ⅳ. Additionally, these gait parameters were significantly associated with Unified Parkinson's Disease Rating Scale and Parkinson's Disease Questionnaire-39. This study demonstrated that gait impairment occurs in the early stage of PD and deteriorates with the progression of the disease. The gait parameters mentioned above may help to detect PD earlier and assess the progression of PD.

Are the spatiotemporal gait parameters at different walking speeds capable of predicting variations in cognitive status by the mini-mental state examination?

BACKGROUND

Several studies have reported the association between cognition and gait; however, most are limited to investigating gait in just one speed, usually the self-selected one, and commonly, only the general score of cognitive tests is used.

AIMS

Investigate the relationship between the spatiotemporal gait parameters at different speeds (self-selected and fast walking speeds) and cognitive status in older adults.

METHODS

Cross-sectional study. Two hundred and ninety-five older adults (70.9 ± 7.2 years; 82.3% women) were evaluated according to cognitive status (Mini-Mental State Examination, MMSE) and spatiotemporal gait parameters.

RESULTS

Data analysis indicates that the spatiotemporal gait parameters (stride length, step time, and single support time) were able to predict cognitive status, assessed by the MMSE general score and its subdomain (temporal and spatial orientation) at both walking speeds.

CONCLUSIONS

The spatiotemporal gait parameters were associated with cognitive status, assessed by the MMSE (general score and temporal and spatial orientation), regardless of the walking conditions. The model's variance was significant and with a large effect size. Stride length and step time were identified as the variables with the best explanatory factors. Therefore, it is concluded that greater cognitive performance is associated with longer stride lengths and faster step times.

Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains

Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture for use in biomechanical and clinical settings. Methods: Twenty-one (7 M,14 F) participants aged between 18 and 73 years were recruited in community locations to perform two walking tasks: self-selected and fastest-comfortable walking speed. Participants walked along a designated walkway on two separate days.Joint angle kinematics for the hip, knee, and ankle, for all planes of motion, and spatiotemporal parameters were extracted to determine absolute reliability between-days. For kinematics, absolute reliability was examined using: full curve analysis [root mean square difference (RMSD)] and discrete point analysis at defined gait events using standard error of measurement (SEM). The absolute reliability of spatiotemporal parameters was also examined using SEM and SEM%. Results: Markerless motion capture produced low measurement error for kinematic full curve analysis with RMSDs ranging between 0.96° and 3.71° across all joints and planes for both walking tasks. Similarly, discrete point analysis within the gait cycle produced SEM values ranging between 0.91° and 3.25° for both sagittal and frontal plane angles of the hip, knee, and ankle. The highest measurement errors were observed in the transverse plane, with SEM >5° for ankle and knee range of motion. For the majority of spatiotemporal parameters, markerless motion capture produced low SEM values and SEM% below 10%. Conclusion: Markerless motion capture using Theia3D offers reliable gait analysis suitable for biomechanical and clinical use.

Relationships between Gait Regularity and Cognitive Function, including Cognitive Domains and Mild Cognitive Impairment, in Community-Dwelling Older People

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.

Associations Between Physical and Executive Functions Among Community-Dwelling Older Men and Women

Walking is a complex task requiring the interplay of neuromuscular, sensory, and cognitive functions. Owing to the age-related decline in cognitive and physical functions, walking may be compromised in older adults, for cognitive functions, especially poor performance in executive functions, is associated with slow walking speed. Hence, the aim of this study was to investigate the associations between different subdomains of executive functions and physical functions and whether the associations found differ between men and women. Multiple linear regression analysis was performed on data collected from 314 community-dwelling older adults who did not meet physical activity guidelines but had intact cognition. Our results showed that, while executive functions were associated with gait and lower extremity functioning, the associations depended partly on the executive process measured and the nature of the physical task. Moreover, the associations did not differ between the sexes.

Feasibility and effectiveness of interactive stepping exercise on community-dwelling older adults: A pilot randomized controlled trial

Recently, the interactive stepping exercise (ISE) was developed on the basis of square stepping exercise. The aim of this study was to examine the feasibility and effectiveness of ISE on executive function and gait variability among community-dwelling older adults. Fourteen participants were recruited and randomly assigned to the experimental group (n=7) or control group (n=7) and received ISE or home exercise program, respectively, three times a week for 12 weeks. The outcomes included retention rate, attendance rate, Trail Making Test, and dual-task walking. The results showed that participants had high retention and attendance rate for the ISE intervention. Moreover, significant improvement in the part A of Trail Making Test and stride length variability during cognitive dual-task walking after 12-week ISE intervention. The current results suggested that ISE is a feasible and effective intervention on executive function and gait variability in community-dwelling older adults.

Human Gait Analysis in Neurodegenerative Diseases: a Review

This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegnerative diseases. The use of technological instruments can be of great support in both clinical diagnosis and severity assessment of these pathologies. In this paper, sensors, features and processing methodologies have been reviewed in order to provide a highly consistent work that explores the issues related to gait analysis. First, the phases of the human gait cycle are briefly explained, along with some non-normal gait patterns (gait abnormalities) typical of some neurodegenerative diseases. The work continues with a survey on the publicly available datasets principally used for comparing results. Then the paper reports the most common processing techniques for both feature selection and extraction and for classification and clustering. Finally, a conclusive discussion on current open problems and future directions is outlined.

Quality of Movement Is Associated With Cognitive Function in Physically Inactive Older Women

The relationship between the quality of movement, considering different global and universal basic patterns of movement and cognition domains in older adults remain unclear. The current study explored this association in physically inactive older women. In total, 187 participants, aged 60-70 years (mean = 64.9, SD = 6.9 years), were recruited from a physical education program in a public university. The older adults performed the following tests: Functional Movement Screen, Montreal Cognitive Assessment, and Modified Baecke Questionnaire for the Older Adults. The regression analysis showed an association between age (β = -0.11, 95% confidence interval, CI, [-0.10, 0.30], p = .03); visuospatial abilities (β = 0.36, 95% CI [0.24, 1.23], p < .001); language (β = 0.23, 95% CI [0.20, 1.08], p < .001); and orientation domains (β = 0.13, 95% CI [0.11, 1.22], p = .016) of the Montreal Cognitive Assessment and the Functional Movement Screen. The quality of movement was related to both age and cognitive performance, such as the visuospatial abilities, language, and orientation domains, in physically inactive older women.

The association between white matter hyperintensity volume and gait performance under single and dual task conditions in older people with dementia: A cross-sectional study

BACKGROUND

Understanding the relationship between white matter hyperintensities (WMHs) and gait may assist in understanding the central control of gait and determining treatment modalities. These relationships are yet to be realized in older people with dementia.

OBJECTIVE

To examine the association between WMH volume and gait under single-task and dual task (DT) conditions in people with dementia.

METHODS

Twenty-eight community-dwelling older people with dementia (median age=83 years; [IQR=77-86]; 36% female) had timed gait speed assessed at usual pace. Gait (speed, stride length, cadence) was assessed using the GAITRite® mat under three conditions (n = 18/28): a) single-task, b) functional DT: carrying a glass of water and c) cognitive DT: counting backwards from 30. WMH volumes were quantified using a fully automated segmentation toolbox.

RESULTS

Total, temporal and parietal WMH volumes were negatively correlated with timed and functional DT gait speed, and with stride length under single-task, functional DT and cognitive DT conditions. Frontal WMH volumes were negatively correlated with timed gait speed and stride length under single-task and functional DT conditions. Participants with higher total WMH burden had significantly slower timed and functional DT gait speed and reduced stride length under single-task, functional DT and cognitive DT conditions compared to participants with lower WMH burden.

CONCLUSIONS

WMH volume was associated with slower gait speed and reduced stride length, but not cadence, under single-task and DT conditions in people with dementia. Further research is needed to confirm these findings and determine whether vascular risk management can improve gait in older people with dementia.

Can cognitive-motor training improve physical functioning and psychosocial wellbeing in nursing home residents? A randomized controlled feasibility study as part of the PROCARE project

BACKGROUND

A multi-component training program holds promises for the elderly, but still has to be tested on its feasibility and effect in nursing homes.

AIMS

The aim of this study was (1) to design a multi-component training program which improves physical functioning and psychosocial wellbeing and (2) to evaluate the feasibility of this intervention in nursing home residents.

METHODS

This study is a two-arm, stratified-randomized controlled feasibility trail. Twenty-four nursing home residents (aged 83.7 ± 6.4, 21 women) were divided into an intervention and a waiting-list control group. The intervention group completed a multi-component training (including dual-task, dynamic balance, endurance and strength exercises) for 16 weeks (twice per week for 45-60 min). Primary outcomes were lower extremity functionality (SPPB), gait performance (GAITRite), health-related quality of life (SF-12) as well as life satisfaction (SWLS).

RESULTS

Life satisfaction (SWLS) and physical functioning (SPPB) increased in the intervention group after training whereas the control group showed a decrease. Gait parameters could only be analyzed for n = 5 participants of the intervention group and n = 2 of the control group and showed no time differences for the intervention group. The mean number of participants was 12.5 ± 1.9 per session (attendance ranged between 66% and 90%).

CONCLUSION

A multi-component training seems (1) to lead to clinically relevant improvements in physical functioning as well as in psychosocial wellbeing and (2) to be feasible and well accepted in nursing home residents. Nevertheless, the complexity and progression of the program as well as the testing protocol have to be adapted. Further research should test the effectiveness of this adapted program in a larger sample size.

Functional Balance and Gait Characteristics in Men With Lower Urinary Tract Symptoms Secondary to Benign Prostatic Hyperplasia

The purpose of this cross-sectional study was to compare gait characteristics and functional balance Babilities in men with LUTS secondary to benign prostatic hyperplasia (BPH) to those of community-dwelling older adults under different conditions of increasing difficulties, and to aid health-care providers to identify those patients with decreased level of activity and increased risk of falls. We recruited a group of 43 men diagnosed with symptomatic BPH and a control group of 38 older men. Participants performed the timed up and go and 10-m walking tests under different conditions—namely, single task, dual-task motor, and dual-task cognitive. Time to complete the tests and spatial and temporal gait parameters were compared between groups and conditions via mixed-design ANOVA. Under dual-task conditions, individuals in both groups performed significantly worse compared to the single functional balance and walking tasks. As the complexity of the walking task increased—from dual-task motor to dual-task cognitive—significant differences between groups emerged. In particular, men with BPH performed worse than older adults in tasks demanding increased attentional control. Results suggest that dual-task decrements in functional balance and gait might explain decreased level of physical activity and increased risk of falls reported in men with LUTS. Health-care providers for men with LUTS due to BPH should assess for abnormal gait and remain vigilant for balance problems that may lead to decreased mobility and falls. The dual-task approach seems a feasible method to distinguish gait and balance impairments in men with BPH.

Forensic Gait Analysis and Recognition: Standards of Evidence Admissibility

Gait is one biological characteristic which has attracted strong research interest due to its potential use in human identification. Although almost two decades have passed since a forensic gait expert has testified to the identity of a perpetrator in court, the methods remain insufficiently robust, considering the recent paradigm shift witnessed in the forensic science community regarding quality of evidence. In contrast, technological advancements have taken the lead, and research into automated gait recognition has greatly surpassed forensic gait analysis in terms of the size of acquired datasets and demographic variability of participants, tested variables, and statistical evaluation of results. Despite these advantages, gait recognition presents with different problems which are yet to be resolved. Therefore, courts should treat gait evidence with caution, as they should any other form of evidence originating from disciplines without fully established codes of practice, error rates, and demonstrable applications in forensic scenarios.