Increased motor variability facilitates motor learning in weight shift toward the paretic side during walking in individuals post‐stroke

2021 ◽  
Author(s):  
Seoung Hoon Park ◽  
Chao‐Jung Hsu ◽  
Jui‐Te Lin ◽  
Weena Dee ◽  
Elliot J. Roth ◽  
...  
Keyword(s):  
Motor Learning ◽  
Motor Variability ◽  
Post Stroke ◽  
Paretic Side ◽  
Weight Shift

Gradual adaptation to pelvis perturbation during walking reinforces motor learning of weight shift toward the paretic side in individuals post-stroke

2021 ◽  
Author(s):  
Seoung Hoon Park ◽  
Chao-Jung Hsu ◽  
Weena Dee ◽  
Elliot J. Roth ◽  
William Z. Rymer ◽  
...  
Keyword(s):  
Motor Learning ◽  
Post Stroke ◽  
Paretic Side ◽  
Weight Shift

scholarly journals Contribution of isokinetic strength training on the no-paretic side to postural control and gait in post-stroke hemiparesis

2012 ◽  
Vol 55 ◽  
pp. e26
Author(s):  
A. Yahia ◽  
S. Mahersi ◽  
S. Jeribi ◽  
A. Mellek ◽  
D. Perennou ◽  
...  
Keyword(s):  
Postural Control ◽  
Strength Training ◽  
Isokinetic Strength ◽  
Post Stroke ◽  
Paretic Side

Enhanced error facilitates motor learning in weight shift and increases use of the paretic leg during walking at chronic stage after stroke

2021 ◽  
Author(s):  
Seoung Hoon Park ◽  
Chao-Jung Hsu ◽  
Weena Dee ◽  
Elliot J. Roth ◽  
William Z. Rymer ◽  
...  
Keyword(s):  
Motor Learning ◽  
Chronic Stage ◽  
Weight Shift

Is training with a focus on motor learning effective in improving body coordination in chronic post stroke patients?

2021 ◽  
Vol 429 ◽  
pp. 118583
Author(s):  
Nina Trushkova ◽  
Olga Cochran ◽  
Natalia Ermolina ◽  
Giovanni Zelano
Keyword(s):  
Motor Learning ◽  
Stroke Patients ◽  
Post Stroke

scholarly journals High variability impairs motor learning regardless of whether it affects task performance

2018 ◽  
Vol 119 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Marco Cardis ◽  
Maura Casadio ◽  
Rajiv Ranganathan
Keyword(s):  
Motor Learning ◽  
Task Performance ◽  
Null Space ◽  
Motor Task ◽  
Task Space ◽  
Movement Variability ◽  
Motor Variability ◽  
Different Dimensions ◽  
Left And Right

Motor variability plays an important role in motor learning, although the exact mechanisms of how variability affects learning are not well understood. Recent evidence suggests that motor variability may have different effects on learning in redundant tasks, depending on whether it is present in the task space (where it affects task performance) or in the null space (where it has no effect on task performance). We examined the effect of directly introducing null and task space variability using a manipulandum during the learning of a motor task. Participants learned a bimanual shuffleboard task for 2 days, where their goal was to slide a virtual puck as close as possible toward a target. Critically, the distance traveled by the puck was determined by the sum of the left- and right-hand velocities, which meant that there was redundancy in the task. Participants were divided into five groups, based on both the dimension in which the variability was introduced and the amount of variability that was introduced during training. Results showed that although all groups were able to reduce error with practice, learning was affected more by the amount of variability introduced rather than the dimension in which variability was introduced. Specifically, groups with higher movement variability during practice showed larger errors at the end of practice compared with groups that had low variability during learning. These results suggest that although introducing variability can increase exploration of new solutions, this may adversely affect the ability to retain the learned solution.NEW & NOTEWORTHY We examined the role of introducing variability during motor learning in a redundant task. The presence of redundancy allows variability to be introduced in different dimensions: the task space (where it affects task performance) or the null space (where it does not affect task performance). We found that introducing variability affected learning adversely, but the amount of variability was more critical than the dimension in which variability was introduced.

scholarly journals Combining motor learning and brain stimulation to enhance post-stroke neurorehabilitation

2015 ◽  
Vol 10 (8) ◽  
pp. 1218 ◽  
Author(s):  
Yves Vandermeeren ◽  
Stéphanie Lefebvre
Keyword(s):  
Motor Learning ◽  
Brain Stimulation ◽  
Post Stroke

scholarly journals Wrist Actimetry Biomarker Development of Paretic Upper Limb Use in Post Stroke Patients for Ecological Monitoring.

2021 ◽  
Author(s):  
Gilles Dusfour ◽  
Denis Mottet ◽  
Makii Muthalib ◽  
Isabelle Laffont ◽  
Karima K.A. Bakhti
Keyword(s):  
Home Environment ◽  
Upper Limb ◽  
Healthy Subjects ◽  
Limiting Factors ◽  
Cumulative Probability ◽  
Limiting Factor ◽  
Upper Limbs ◽  
Stroke Patients ◽  
Post Stroke ◽  
Paretic Side

Abstract Background In post-stroke patients it is unclear which wrist actimetry biomarkers to use to estimate the degree of upper limb hemiparesis. The objective of this study was to develop a general and objective framework for monitoring hemiparetic patients in their home environment via different biomarkers based on 7 days of actimetry data. A secondary objective was to use all of these biomarkers to better understand the mechanism for potential non-use of the paretic upper limb. Methods Accelerometers were worn continuously for a period of 7 days on both wrists of 10 post-stroke hemiparetic patients as well as 6 healthy subjects. Various wrist actimetry biomarkers were calculated, including the Jerk ratio 50 (JR50, cumulative probability that the Jerk Ratio is between 0 and 0.5), absolute and relative amounts of functional use of movements of the upper limbs (FuncUse and FuncUseR) and absolute and relative velocities of the upper limbs during functional use (VUL and VULR). For each biomarker, the values of stroke and healthy groups were compared. The correlations between all the biomarkers were studied. Results We studied 10 participants with mild-to-moderate chronic hemiparesis and 6 healthy control participants. FuncUse and VUL of the paretic upper limb of stroke patients were significantly lower than in the non-dominant upper limb of healthy subjects. Similarly, FuncUseR (paretic/non-paretic vs non-dominant/dominant), JR and VULR are significantly lower in stroke patients than in healthy subjects. FuncUseR, VULR and JR50 seem to be complementary biomarkers for monitoring patient strokes. Conclusion The stroke patients do not seem to compensate for the decrease in functional movement on the paretic side by an increase on the non-paretic side. The speed of execution of functional movements on the paretic side could be the limiting factor to a normal use of the paretic upper limb. A thorough clinical study is needed to identify the limiting factors. In conclusion, this study for the first time has shown actimetry is a robust and non-obtrusive lightweight technology for continuously acquiring objective upper limb data of paretic arm use/ non-use over an extended period in a home environment for monitoring stroke patients.

scholarly journals Changes in Muscle Activity with Assistance Level During Exoskeletal Gait in Acute Stroke

2021 ◽  
Author(s):  
Ben P.F. O'Callaghan ◽  
Matthew W. Flood ◽  
Michele Tonellato ◽  
Caitríona Fingleton ◽  
Madeleine M Lowery ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Lower Limb ◽  
Muscle Activity ◽  
Stroke Care ◽  
Acute Stage ◽  
Plantar Flexors ◽  
Post Stroke ◽  
Paretic Side ◽  
Gait Parameters ◽  
Cord Injury

Abstract BackgroundThe level of assistance provided to the user is an important decision in rehabilitation training using robotic devices. Both fully assistive and assist-as-needed paradigms have shown benefits in functional outcomes in healthy individuals and users with chronic stroke and spinal cord injury. The effect of assistance level on muscle activity and kinematic gait parameters has not yet been directly examined during overground exoskeletal gait in a stroke population. Furthermore, it is not clear whether an assist-as-needed approach could elicit increased voluntary activity in individuals in the acute stages of stroke. The aim of this study was to examine the effect of assistance level on muscle activity and kinematic parameters during exoskeleton gait in individuals in the acute stage of stroke care.MethodsNine individuals in the acute stage of post-stroke care performed walking tasks in the EKSO GTTM exoskeleton using both maximal assistance and adaptive assistance control paradigms. Temporal gait parameters and muscle activity were recorded using accelerometers and surface EMG on the lower limb muscles.ResultsShorter swing times and longer double support times were observed on the non-paretic side during adaptive assist mode than with maximum assist mode (p<0.0065). No significant effect of exoskeleton mode was observed on the remaining temporal gait parameters. On the paretic side, proximal lower limb muscles (RF and ST) and plantar-flexors (SO) (p<0.00125) exhibited greater activation in adaptive assist mode than in maximum assist mode. On the non-paretic side however, the lower limb distal muscles (TA and SO) displayed greater activity during maximum assist mode than adaptive assist mode (p<0.00125). ConclusionsThe level of assistance provided by an exoskeleton in the acute stages of stroke care is an important clinical decision. The results indicate that an adaptive or assist-as-needed approach elicits higher levels of activation in muscles acting around the knee joint and plantar-flexors on the paretic side than a maximal, fixed assistance paradigm, in the acute stage post-stroke. Increased activity around the ankle joint during maximum assistance mode was also noted. Improved understanding of the effect of assistance level can help inform future control paradigms for exoskeleton gait in acute stroke.

Emergence of Frequency-Dependent Motor Variability Within Supra-Second Auditory Cueing

2021 ◽  
pp. 003151252110407
Author(s):  
Premjit Khanganba Sanjram ◽  
Yogesh Kumar Shivhare
Keyword(s):  
Motor Learning ◽  
Essential Feature ◽  
Low Frequency ◽  
Auditory Stimuli ◽  
Cognitive Resources ◽  
Tone Frequency ◽  
Motor Variability ◽  
Stimulus Interval ◽  
Sensory Motor ◽  
Perceptual Property

Motor variability (MV) is an essential feature of the sensory motor system, and it plays an important role in sensory-motor learning. MV facilitates motor adaptation during auditory-motor synchronization (AMS). In AMS, individuals receive a series of similar auditory stimuli that come in a periodic manner at a fixed interval called an inter-stimulus interval (ISI). Peri-second ISI (1 second range) and supra-second ISI (>1 second) are differently processed, since these intervals involve different amount of cognitive resources. Supra-second ISI involves more top-down attention as compared to peri-second ISI. In this study we examined the effect of tone frequency (perceptual property of auditory stimuli) on predictive tapping and MV under peri-second and supra-second ranges. We examined the effect of tone frequency (a perceptual property of auditory stimuli) on predictive tapping and motor variability (MV) under short (peri-second) and long (supra-second) inter-stimulus intervals. Among 30 healthy participants (aged 18–35 years, M = 24.6 years), we randomly assigned equal numbers of these two inter-stimulus conditions to isochronous sound sequences. In their attempt to synchronize their motor responses with the tone, participants reproduced the ISI in their inter-tap intervals (ITIs). We analyzed their predictive tapping in terms of negative asynchrony (in which the tap occurs before the tone) and small positive asynchrony (0-100 ms), whereas we analyzed MV using the coefficient of variation (CV) of the ITI. We found that participants showed predictive tapping under short ISI, irrespective of the tone frequency. Moreover, their MV was unaffected by tone frequency. These findings imply that participants expressed MV in a predictive rather than reactive manner under short, but not long, ISI. Under long ISI, tone frequency had a significant effect on MV such that there was higher MV with the low-frequency than with the high-frequency tone. Thus, low-frequency tones are most suitable for auditory-motor learning in the supra-second range.

Sign in / Sign up

Export Citation Format

Share Document