P13.7 Robot-based assessment of upper-limb motor control in chronic stroke

2011 ◽  
Vol 122 ◽  
pp. S119-S120
Author(s):  
L. Zollo ◽  
L. Rossini ◽  
E. Gallotta ◽  
S. Sterzi ◽  
E. Guglielmelli
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Mahnaz Hejazi-Shirmard ◽  
Laleh Lajevardi ◽  
Mehdi Rassafiani ◽  
Ghorban Taghizadeh

Abstract This study was designed to investigate the effects of anxiety and dual-task on reach and grasp motor control in chronic stroke survivors compared with age- and sex-matched healthy subjects (HC). Reach and grasp kinematic data of 68 participants (high-anxiety stroke (HA-stroke), n = 17; low-anxiety stroke (LA-stroke), n = 17; low-anxiety HC, n = 17; and high-anxiety HC, n = 17) were recorded under single- and dual-task conditions. Inefficient reach and grasp of stroke participants, especially HA-stroke were found compared with the control groups under single- and dual-task conditions as evidenced by longer movement time (MT), lower and earlier peak velocity (PV) as well as delayed and smaller hand opening. The effects of dual-task on reach and grasp kinematic measures were similar between HCs and stroke participants (i.e., increased MT, decreased PV that occurred earlier, and delayed and decreased hand opening), with greater effect in stroke groups than HCs, and in HA-stroke group than LA-stroke group. The results indicate that performing a well-learned upper limb movement with concurrent cognitive task leads to decreased efficiency of motor control in chronic stroke survivors compared with HCs. HA-stroke participants were more adversely affected by challenging dual-task conditions, underlying importance of assessing anxiety and designing effective interventions for it in chronic stroke survivors.


2017 ◽  
Vol 07 (02) ◽  
Author(s):  
Shujuan Pan ◽  
Dahlia Kairy ◽  
Helene Corriveau ◽  
Michel Tousignant

BMC Neurology ◽  
2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Chien-Yu Huang ◽  
Wei-Chi Chiang ◽  
Ya-Chin Yeh ◽  
Shih-Chen Fan ◽  
Wan-Hsien Yang ◽  
...  

Abstract Background Immersive virtual reality (VR)-based motor control training (VRT) is an innovative approach to improve motor function in patients with stroke. Currently, outcome measures for immersive VRT mainly focus on motor function. However, serum biomarkers help detect precise and subtle physiological changes. Therefore, this study aimed to identify the effects of immersive VRT on inflammation, oxidative stress, neuroplasticity and upper limb motor function in stroke patients. Methods Thirty patients with chronic stroke were randomized to the VRT or conventional occupational therapy (COT) groups. Serum biomarkers including interleukin 6 (IL-6), intracellular adhesion molecule 1 (ICAM-1), heme oxygenase 1 (HO-1), 8-hydroxy-2-deoxyguanosine (8-OHdG), and brain-derived neurotrophic factor (BDNF) were assessed to reflect inflammation, oxidative stress and neuroplasticity. Clinical assessments including active range of motion of the upper limb and the Fugl-Meyer Assessment for upper extremity (FMA-UE) were also used. Two-way mixed analyses of variance (ANOVAs) were used to examine the effects of the intervention (VRT and COT) and time on serum biomarkers and upper limb motor function. Results We found significant time effects in serum IL-6 (p = 0.010), HO-1 (p = 0.002), 8-OHdG (p = 0.045), and all items/subscales of the clinical assessments (ps < 0.05), except FMA-UE-Coordination/Speed (p = 0.055). However, significant group effects existed only in items of the AROM-Elbow Extension (p = 0.007) and AROM-Forearm Pronation (p = 0.048). Moreover, significant interactions between time and group existed in item/subscales of FMA-UE-Shoulder/Elbow/Forearm (p = 0.004), FMA-UE-Total score (p = 0.008), and AROM-Shoulder Flexion (p = 0.001). Conclusion This was the first study to combine the effectiveness of immersive VRT using serum biomarkers as outcome measures. Our study demonstrated promising results that support the further application of commercial and immersive VR technologies in patients with chronic stroke.


Author(s):  
Zahra Nodehi ◽  
Hajar Mehdizadeh ◽  
Akram Azad ◽  
Maryam Mehdizadeh ◽  
Elham Reyhanian ◽  
...  

Author(s):  
Yining Chen ◽  
Meredith C. Poole ◽  
Shelby V. Olesovsky ◽  
Allen A. Champagne ◽  
Kathleen A. Harrison ◽  
...  

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