Impaired Short-term Motor Learning in Multiple Sclerosis: Evidence From Virtual Reality

2007 ◽  
Vol 21 (3) ◽  
pp. 273-278 ◽  
Author(s):  
Letizia Leocani ◽  
Eleonora Comi ◽  
Pietro Annovazzi ◽  
Marco Rovaris ◽  
Paolo Rossi ◽  
...  
PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245717
Author(s):  
Shlomi Haar ◽  
Guhan Sundar ◽  
A. Aldo Faisal

Motor-learning literature focuses on simple laboratory-tasks due to their controlled manner and the ease to apply manipulations to induce learning and adaptation. Recently, we introduced a billiards paradigm and demonstrated the feasibility of real-world-neuroscience using wearables for naturalistic full-body motion-tracking and mobile-brain-imaging. Here we developed an embodied virtual-reality (VR) environment to our real-world billiards paradigm, which allows to control the visual feedback for this complex real-world task, while maintaining sense of embodiment. The setup was validated by comparing real-world ball trajectories with the trajectories of the virtual balls, calculated by the physics engine. We then ran our short-term motor learning protocol in the embodied VR. Subjects played billiard shots when they held the physical cue and hit a physical ball on the table while seeing it all in VR. We found comparable short-term motor learning trends in the embodied VR to those we previously reported in the physical real-world task. Embodied VR can be used for learning real-world tasks in a highly controlled environment which enables applying visual manipulations, common in laboratory-tasks and rehabilitation, to a real-world full-body task. Embodied VR enables to manipulate feedback and apply perturbations to isolate and assess interactions between specific motor-learning components, thus enabling addressing the current questions of motor-learning in real-world tasks. Such a setup can potentially be used for rehabilitation, where VR is gaining popularity but the transfer to the real-world is currently limited, presumably, due to the lack of embodiment.


2017 ◽  
Vol 31 (7) ◽  
pp. 648-656 ◽  
Author(s):  
Kayla McGowan ◽  
Shaila M. Gunn ◽  
Galina Vorobeychik ◽  
Daniel S. Marigold

BMC Neurology ◽  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Carlos Bandeira de Mello Monteiro ◽  
Talita Dias da Silva ◽  
Luiz Carlos de Abreu ◽  
Felipe Fregni ◽  
Luciano Vieira de Araujo ◽  
...  

2010 ◽  
Vol 17 (1) ◽  
pp. 103-115 ◽  
Author(s):  
Valentina Tomassini ◽  
Heidi Johansen-Berg ◽  
Laura Leonardi ◽  
Luis Paixão ◽  
Saad Jbabdi ◽  
...  

Background:Several studies have demonstrated benefits of rehabilitation in multiple sclerosis (MS). However, the neuroscientific foundations for rehabilitation in MS are poorly established. Objectives:As rehabilitation and motor learning share similar mechanisms of brain plasticity, we test whether the dynamics of skill learning are preserved in MS patients relative to controls. Methods:MS patients and controls learned a repeating sequence of hand movements and were assessed for short-term learning. Long-term learning was tested in another cohort of patients and controls practising the same sequence daily for two weeks. Results:Despite differences in baseline performance, the dynamics and extent of improvements were comparable between MS and control groups for both the short- and long-term learning. Even the most severely damaged patients were capable of performance improvements of similar magnitude to that seen in controls. After one week of training patients performed as well as the controls at baseline. Conclusions:Mechanisms for short- and long-term plasticity may compensate for impaired functional connectivity in MS to mediate behavioural improvements. Future studies are needed to define the neurobiological substrates of this plasticity and the extent to which mechanisms of plasticity in patients may be distinct from those used for motor learning in controls.


2012 ◽  
Vol 43 (02) ◽  
Author(s):  
P Hernáiz Driever ◽  
R Burghardt ◽  
A Bierbaum ◽  
S Hager ◽  
S Rückriegel

2014 ◽  
Vol 3 (3) ◽  
pp. 294-302 ◽  
Author(s):  
Anthony T. Reder ◽  
Joel F. Oger ◽  
Ludwig Kappos ◽  
Paul O’Connor ◽  
Mark Rametta

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