P2.058 Effects of a new approach to improve the gait performance in dual-task conditions for patients with Parkinson's disease

2008 ◽  
Vol 14 ◽  
pp. S58
Author(s):  
C. Bedeschi ◽  
J. Ibrahim ◽  
C.A. Cardoso ◽  
B.D. Loureiro ◽  
E. Okamoto ◽  
...  
2018 ◽  
Author(s):  
Rafael B. Stern ◽  
Matheus d’Alencar ◽  
Yanina L. Uscapi ◽  
Marco D. Gubitoso ◽  
Antonio C. Roque ◽  
...  

ObjectiveTo investigate the use of the Goalkeeper Game (GG) to assess gait automaticity decline under dual task conditions in people with Parkinson’s disease (PPD) and compare its predictive power with the one of the MoCA test.Materials and Methods74 PPD (H&Y stages: 23 in stage 1; 31 in stage 2; 20 in stage 3), without dementia (MoCA cut-off 23), tested in ON period with dopaminergic medication were submitted to single individual cognitive/motor evaluation sessions. The tests applied were: MoCA, GG, dynamic gait index (DGI) task and timed up and go test (TUG) under single and dual-task (DT) conditions. GG test resulted in 9 measures extracted via a statistical model. The predictive power of the GG measures and the MoCA score with respect to gait performance, as assessed by DGI and DT-TUG, were compared.ResultsThe predictive models based on GG measures and MoCA score obtained, respectively, sensitivities of 65% and 56% for DGI scores and 59% and 57% for DT-TUG cost at a 50% specificity. GG application proved to be feasible and aroused more motivation in PPDs than MoCa.ConclusionGG, a friendly and ludic game, was able to reach a good power of gait performance prediction in people at initial and intermediate stages of PD evolution.


2017 ◽  
Vol 8 ◽  
Author(s):  
Heiko Gaßner ◽  
Franz Marxreiter ◽  
Simon Steib ◽  
Zacharias Kohl ◽  
Johannes C. M. Schlachetzki ◽  
...  

2020 ◽  
Vol 47 (4) ◽  
pp. 415-426
Author(s):  
Hsiu-Chen Chang ◽  
Chiung-Chu Chen ◽  
Yi-Hsin Weng ◽  
Wei-Da Chiou ◽  
Ya-Ju Chang ◽  
...  

BACKGROUND: Recent studies have suggested that cognitive-motor dual-task (DT) training might improve gait performance, locomotion automaticity, balance, and cognition in patients with Parkinson’s disease (PD). OBJECTIVE: We aimed to investigate the efficacy of cognitive-cycling DT training in patients with early-stage PD. METHODS: Participants were scheduled to perform cognitive tasks simultaneously with the cycling training twice per week for eight weeks for a total of 16 sessions during their on-states. Clinical assessments were conducted using the unified Parkinson’s disease rating scale (UPDRS), modified Hoehn and Yahr stage, Timed Up and Go (TUG) test, gait and cognitive performances under dual-task paradigm, the new freezing of gait questionnaire, Schwab and England Activities of Daily Living scale, 39-item Parkinson’s disease questionnaire, and cognitive performance. RESULTS: Thirteen eligible patients were enrolled in the study. The mean age was 60.64±5.32 years, and the mean disease duration was 7.02±3.23 years. Twelve PD patients completed 16 serial cognitive-cycling sessions for two months. After 16 sessions of training (T2), the UPDRS III scores improved significantly in both the off- and on-states, and TUG were significantly less than those at pretraining (T0). During both the single-task and the DT situations, gait performance and spatial memory cognitive performance significantly improved from T0 to T2. CONCLUSION: The present study demonstrated that cognitive-cycling DT training improves the motor functions, gait and cognitive performances of PD patients.


2010 ◽  
Vol 16 ◽  
pp. S50
Author(s):  
T.-C. Kuo ◽  
K.-D. Liu ◽  
D.-E. Shan ◽  
M.-W. Tsai ◽  
S.-J. Lee

Author(s):  
Samira Ahmadi ◽  
Tarique Siragy ◽  
Julie Nantel

Abstract Background Regularity, quantified by sample entropy (SampEn), has been extensively used as a gait stability measure. Yet, there is no consensus on the calculation process and variant approaches, e.g. single-scale SampEn with and without incorporating a time delay greater than one, multiscale SampEn, and complexity index, have been used to calculate the regularity of kinematic or kinetic signals. The aim of the present study was to test the discriminatory performance of the abovementioned approaches during single and dual-task walking in people with Parkinson’s disease (PD). Methods Seventeen individuals with PD were included in this study. Participants completed two walking trials that included single and dual-task conditions. The secondary task was word searching with twelve words randomly appearing in the participants’ visual field. Trunk linear acceleration at sternum level, linear acceleration of the center of gravity, and angular velocity of feet, shanks, and thighs, each in three planes of motion were collected. The regularity of signals was computed using approaches mentioned above for single and dual-task conditions. Results Incorporating a time delay greater than one and considering multiple scales helped better distinguish between single and dual-task walking. For all signals, the complexity index, defined as the summary of multiscale SampEn analysis, was the most efficient discriminatory index between single-task walking and dual-tasking in people with Parkinson's disease. Specifically, the complexity index of the trunk linear acceleration of the center of gravity distinguished between the two walking conditions in all three planes of motion. Conclusions The significant results observed across the 24 signals studied in this study are illustrative examples of the complexity index’s potential as a gait feature for classifying different walking conditions.


2021 ◽  
Author(s):  
Yan-Ci Liu ◽  
Yea-Ru Yang ◽  
Nai-Chen Yeh ◽  
Pei-Hsin Ku ◽  
Chia-Feng Lu ◽  
...  

Abstract Background In people with Parkinson’s disease (PD), gait performance deteriorating during dual task walking compared to single-task walking has been noted in previous studies. However, the effects of different types of dual task on gait performance and brain activation were still unknown. Methods This study investigated the walking performance changes and multi-area brain activities during cognitive and motor dual task walking in people with PD. Twenty-eight participants with PD were recruited and performed single walking (SW), walking while performing a cognitive task (WCT), and walking while performing a motor task (WMT) at their self-selected speed. Gait performance including walking speed, cadence, stride length, stride time, swing cycle, temporal and spatial variability and dual task cost (DTC) were recorded. Brain activation of the prefrontal cortex (PFC), premotor cortex (PMC), and supplementary motor areas (SMA) were measured by functional near-infrared spectroscopy during walking. Results Results showed the walking performance deteriorated upon performing a secondary task, especially the cognitive task. Also, a higher and sustained activation in PMC and SMA during WCT as compared with WMT and SW in the late phase of walking was found. Moreover, gait performance was negatively correlated with PMC and SMA activity during different walking tasks. Conclusions Individuals with PD demonstrated gait deterioration during dual task walking, especially WCT. The SMA and PMC were further activated in people with PD when performing cognitive dual task walking. Trial registrationTCTR20190118010. Registered 18 January 2019, retrospectively registered.


2019 ◽  
Vol 27 (6) ◽  
pp. 843-847 ◽  
Author(s):  
Anson B. Rosenfeldt ◽  
Amanda L. Penko ◽  
Andrew S. Bazyk ◽  
Matthew C. Streicher ◽  
Tanujit Dey ◽  
...  

The aim of this project was to (a) evaluate the potential of the 2-min walk test to detect declines in gait velocity under dual-task conditions and (b) compare gait velocity overground and on a self-paced treadmill in Parkinson’s disease (PD). In total, 23 individuals with PD completed the 2-min walk test under single- and dual-task (serial 7s) conditions overground and on a self-paced treadmill. There was a significant decrease in gait velocity from single- to dual-task conditions overground (1.32 ± 0.22 to 1.10 ± 0.25 m/s; p < .001) and on the self-paced treadmill (1.24 ± 0.21 to 1.05 ± 0.25 m/s; p < .001). Overground and treadmill velocities were not statistically different from each other; however, differences approached or exceeded the minimal clinical important difference. The 2-min walk test coupled with a cognitive task provides an effective model of identifying dual-task declines in individuals with PD. Further studies comparing overground and self-paced treadmill velocity is warranted in PD.


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