Changes in the kinematic structure and non-kinematic features of movements during skilled reaching after stroke: A Laban Movement Analysis in two case studies

Foroud, Afra; Whishaw, Ian Q.

doi:10.1016/j.jneumeth.2006.05.007

Cited by 68 publications

(54 citation statements)

References 39 publications

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“…In contrast, the development of BMIs specifically compatible with stroke (Langhorne et al, 2011;Norrving and Kissela, 2013) or other forms of direct cortical injury requires a greater understanding of the neurophysiology of the injured neural network (Nudo et al, 1996;Ward, 2004;Dancause, 2006;Cramer, 2008;Murphy and Corbett, 2009). Although both the perilesional cortex (PLC) surrounding the injury (Daly and Wolpaw, 2008;Guggenmos et al, 2013) and motor areas in the unaffected hemisphere are possible targets of neural interfaces after stroke, more attention has been placed on the unaffected contralateral hemisphere (Bundy et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Although both the perilesional cortex (PLC) surrounding the injury (Daly and Wolpaw, 2008;Guggenmos et al, 2013) and motor areas in the unaffected hemisphere are possible targets of neural interfaces after stroke, more attention has been placed on the unaffected contralateral hemisphere (Bundy et al, 2012). This interest may have been fueled by findings of an increased role of the contralesional hemisphere in movements of the ipsilateral limb after stroke (Brinkman and Kuypers, 1973;Dancause, 2006;Hummel and Cohen, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Robust Neuroprosthetic Control from the Stroke Perilesional Cortex

et al. 2015

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Intracortical brain-machine interfaces (BMIs) may eventually restore function in those with motor disability after stroke. However, current research into the development of intracortical BMIs has focused on subjects with largely intact cortical structures, such as those with spinal cord injury. Although the stroke perilesional cortex (PLC) has been hypothesized as a potential site for a BMI, it remains unclear whether the injured motor cortical network can support neuroprosthetic control directly. Using chronic electrophysiological recordings in a rat stroke model, we demonstrate here the PLC's capacity for neuroprosthetic control and physiological plasticity. We initially found that the perilesional network demonstrated abnormally increased slow oscillations that also modulated neural firing. Despite these striking abnormalities, neurons in the perilesional network could be modulated volitionally to learn neuroprosthetic control. The rate of learning was surprisingly similar regardless of the electrode distance from the stroke site and was not significantly different from intact animals. Moreover, neurons achieved similar task-related modulation and, as an ensemble, formed cell assemblies with learning. Such control was even achieved in animals with poor motor recovery, suggesting that neuroprosthetic control is possible even in the absence of motor recovery. Interestingly, achieving successful control also reduced locking to abnormal oscillations significantly. Our results thus suggest that, despite the disrupted connectivity in the PLC, it may serve as an effective target for neuroprosthetic control in those with poor motor recovery after stroke.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Neuroprosthetic Control from the Stroke Perilesional Cortex

et al. 2015

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“…We use LMA for the description of the kinematic and non-kinematic movements made by human subjects that perform emotional actions. The reliability of the non-kinematic measures in LMA has been validated in previous studies [38,39]. We focus on effort [53] or dynamics, in an attempt to understand the more subtle characteristics about the way a movement is performed with respect to intention.…”

Section: Laban Movement Analysis For Emotional Dialog Between Robots mentioning

confidence: 99%

Brain-inspired robots for autistic training and care

Barakova

Feijs

2011

Neuromorphic and Brain-Based Robots

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An increasing number of projects world-wide investigate the possibilities to include robots as a part of assessment and therapy practices for individuals with autism. There are two major reasons for that: the special interest of the autistic people in robots and electronic tools and the rapid developments in the multidisciplinary studies on the nature of social interaction and on autism as atypical social behavior.Evidence from several branches of the social and neurosciences, which aim to understand the social brain, advocates the perspective that social behaviors ( e.g. shared attention, turn taking and imitation) have evolved as an additional functionality of a general sensory-motor system for action. The basic feature of this system is the existence of a common representation between perception for action and the action itself. An extended social brain system facilitates processing of emotional stimuli, empathy, and perspective taking.This book chapter will describe a research line that builds on this perspective and incorporates theories from social-and neuro-sciences. Within this perspective, movement is modeled or generated as basic behavior that will further determine some aspects of social interaction. Typical and atypical (as seen when observing persons with autism) movement patterns are simulated in the sensory-motor system for action, as the difference is assumed to be caused by processing that takes place in Superior temporal sulcus -Parietal areas of the brain. As a result different movement patterns emerge within a robot simulation. These are to be used in games for behavioral training of autistic people with robots and tools with sensory-motor features.

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“…Skoning (2008) argues that Laban's movement framework is simple to use for observing, analysing and describing students' movements. This movement framework has also been used as an observation tool in a number of research fields, such as therapy (Parteli, 1995), industrial (Vasey et al, 2006), medical (Foroud & Whishaw, 2006) and, above all, dance research (Levy & Duke, 2003;Swaminathan et al, 2009;Lepczyk, 2011).…”

Section: Introductionmentioning

confidence: 99%

Wii Teach Movement Qualities in Physical Education

Meckbach¹,

Gibbs²,

Almqvist³

et al. 2014

Sport Science Review

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In Sweden, the PE curriculum states that students are expected to develop a number of abilities, a variety of movement activities and qualities. Interesting to explore is then if exergames (video games that includes physical activity) can be seen as a teaching resource to learn different movement's qualities. With a new teaching tool that has been introduced in education and new policy documents emphasising development of different movement qualities, the purpose of this article is accordingly to investigate students' use of different movement qualities when playing various exergames during PE. For this we use a version of Laban Movement Analysis (LMA) adapted for exploring exergames in PE practice. The empirical data include video-recordings from PE lessons. The games offered were of three different characters; sports games, exercise games and dance games. We are inspired by the LMA framework and explore students' movement qualities on the basis of four aspects; body, effort, space and relations. Further, with socio-cultural learning theory, recognition of artefacts, other people and the offered content of the exergames are also involved in the analysis. Our findings show that exergames are creating opportunities for PE teachers and students to pay attention to different movement qualities. In PE the player is accordingly involved in a complex context of movement qualities, interacting with the game and with other students.

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Changes in the kinematic structure and non-kinematic features of movements during skilled reaching after stroke: A Laban Movement Analysis in two case studies

Cited by 68 publications

References 39 publications

Robust Neuroprosthetic Control from the Stroke Perilesional Cortex

Robust Neuroprosthetic Control from the Stroke Perilesional Cortex

Brain-inspired robots for autistic training and care

Wii Teach Movement Qualities in Physical Education

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