Motor Learning Principles for Arthroscopic Motor Skill Teaching

2016 ◽  
pp. 7-15
Author(s):  
João Espregueira-Mendes ◽  
Mustafa Karahan
Keyword(s):  
Motor Learning ◽  
Motor Skill ◽  
Learning Principles

scholarly journals Motor learning-based activities may improve functional ability in adults with severe cerebral palsy: A controlled pilot study

2021 ◽  
pp. 1-11
Author(s):  
Helle Hüche Larsen ◽  
Rasmus Feld Frisk ◽  
Maria Willerslev-Olsen ◽  
Jens Bo Nielsen
Keyword(s):  
Cerebral Palsy ◽  
Motor Learning ◽  
Motor Function ◽  
Functional Ability ◽  
Active Group ◽  
Control Group ◽  
Gross Motor ◽  
Gross Motor Function ◽  
Learning Principles

BACKGROUND: Cerebral palsy (CP) is a neurodevelopmental disturbance characterized by impaired control of movement. Function often decreases and 15% of adults are classified as severely affected (Gross Motor Function Classification Scale III-V). Little is known about interventions that aim to improve functional abilities in this population. OBJECTIVE: To evaluate a 12-week intervention based on motor learning principles on functional ability in adults with severe CP. METHODS: 16 adults (36±10 years, GMFCS III-V) were enrolled and divided into an intervention group (Active group) and a standard care group (Control group). Primary outcome measure was Gross Motor Function Measure (GMFM-88). Secondary measures were neurological status. The Active group were measured at baseline, after the intervention and at one-month follow-up. The Control group were measured at baseline and after one month. RESULTS: Analysis showed statistically significant improvement in GMFM-88 for the Active group from baseline to post assessment compared with the Control group (group difference: 5 points, SE 14.5, p = 0.008, CI: 1.2 to 8.7). Improvements were maintained at follow-up. Results from the neurological screening showed no clear tendencies. CONCLUSIONS: The study provides support that activities based on motor learning principles may improve gross motor function in adults with severe CP.

New roles for dopamine in motor skill acquisition: Lessons from primates, rodents, and songbirds

2021 ◽  
Author(s):  
Alynda N Wood
Keyword(s):  
Basal Ganglia ◽  
Motor Learning ◽  
Associative Learning ◽  
Skill Acquisition ◽  
Motor Skill ◽  
Human Life ◽  
Skill Learning ◽  
Motor Skill Acquisition ◽  
Model Free ◽  
Species Comparisons

Motor learning is a core aspect of human life, and appears to be ubiquitous throughout the animal kingdom. Dopamine, a neuromodulator with a multifaceted role in synaptic plasticity, may be a key signaling molecule for motor skill learning. Though typically studied in the context of reward-based associative learning, dopamine appears to be necessary for some types of motor learning. Mesencephalic dopamine structures are highly conserved among vertebrates, as are some of their primary targets within the basal ganglia, a subcortical circuit important for motor learning and motor control. With a focus on the benefits of cross-species comparisons, this review examines how "model-free" and "model-based" computational frameworks for understanding dopamine's role in associative learning may be applied to motor learning. The hypotheses that dopamine could drive motor learning either by functioning as a reward prediction error, through passive facilitating of normal basal ganglia activity, or through other mechanisms are examined in light of new studies using humans, rodents, and songbirds. Additionally, new paradigms that could enhance our understanding of dopamine's role in motor learning by bridging the gap between the theoretical literature on motor learning in humans and other species are discussed.

scholarly journals Somatosensory cortical excitability changes precede those in motor cortex during human motor learning

2019 ◽  
Vol 122 (4) ◽  
pp. 1397-1405 ◽  
Author(s):  
Hiroki Ohashi ◽  
Paul L. Gribble ◽  
David J. Ostry
Keyword(s):  
Motor Cortex ◽  
Motor Learning ◽  
Evoked Potentials ◽  
Somatosensory Cortex ◽  
Somatosensory Evoked Potentials ◽  
Motor Skill ◽  
Cortical Excitability ◽  
Motor Evoked Potentials ◽  
Human Motor ◽  
Motor Cortical

Motor learning is associated with plasticity in both motor and somatosensory cortex. It is known from animal studies that tetanic stimulation to each of these areas individually induces long-term potentiation in its counterpart. In this context it is possible that changes in motor cortex contribute to somatosensory change and that changes in somatosensory cortex are involved in changes in motor areas of the brain. It is also possible that learning-related plasticity occurs in these areas independently. To better understand the relative contribution to human motor learning of motor cortical and somatosensory plasticity, we assessed the time course of changes in primary somatosensory and motor cortex excitability during motor skill learning. Learning was assessed using a force production task in which a target force profile varied from one trial to the next. The excitability of primary somatosensory cortex was measured using somatosensory evoked potentials in response to median nerve stimulation. The excitability of primary motor cortex was measured using motor evoked potentials elicited by single-pulse transcranial magnetic stimulation. These two measures were interleaved with blocks of motor learning trials. We found that the earliest changes in cortical excitability during learning occurred in somatosensory cortical responses, and these changes preceded changes in motor cortical excitability. Changes in somatosensory evoked potentials were correlated with behavioral measures of learning. Changes in motor evoked potentials were not. These findings indicate that plasticity in somatosensory cortex occurs as a part of the earliest stages of motor learning, before changes in motor cortex are observed. NEW & NOTEWORTHY We tracked somatosensory and motor cortical excitability during motor skill acquisition. Changes in both motor cortical and somatosensory excitability were observed during learning; however, the earliest changes were in somatosensory cortex, not motor cortex. Moreover, the earliest changes in somatosensory cortical excitability predict the extent of subsequent learning; those in motor cortex do not. This is consistent with the idea that plasticity in somatosensory cortex coincides with the earliest stages of human motor learning.

BDNF Val66Met polymorphism is associated with abnormal interhemispheric transfer of a newly acquired motor skill

2014 ◽  
Vol 111 (10) ◽  
pp. 2094-2102 ◽  
Author(s):  
Olivier Morin-Moncet ◽  
Vincent Beaumont ◽  
Louis de Beaumont ◽  
Jean-Francois Lepage ◽  
Hugo Théoret
Keyword(s):  
Motor Cortex ◽  
Motor Learning ◽  
Motor Skill ◽  
Interhemispheric Transfer ◽  
Corticospinal Excitability ◽  
Genetic Group ◽  
Val66met Polymorphism ◽  
Genotype Group ◽  
Left Hand ◽  
The Right

Recent data suggest that the Val66Met polymorphism of the brain-derived neurotrophic factor (BDNF) gene can alter cortical plasticity within the motor cortex of carriers, which exhibits abnormally low rates of cortical reorganization after repetitive motor tasks. To verify whether long-term retention of a motor skill is also modulated by the presence of the polymorphism, 20 participants (10 Val66Val, 10 Val66Met) were tested twice at a 1-wk interval. During each visit, excitability of the motor cortex was measured by transcranial magnetic stimulations (TMS) before and after performance of a procedural motor learning task (serial reaction time task) designed to study sequence-specific learning of the right hand and sequence-specific transfer from the right to the left hand. Behavioral results showed a motor learning effect that persisted for at least a week and task-related increases in corticospinal excitability identical for both sessions and without distinction for genetic group. Sequence-specific transfer of the motor skill from the right hand to the left hand was greater in session 2 than in session 1 only in the Val66Met genetic group. Further analysis revealed that the sequence-specific transfer occurred equally at both sessions in the Val66Val genotype group. In the Val66Met genotype group, sequence-specific transfer did not occur at session 1 but did at session 2. These data suggest a limited impact of Val66Met polymorphism on the learning and retention of a complex motor skill and its associated changes in corticospinal excitability over time, and a possible modulation of the interhemispheric transfer of procedural learning.

scholarly journals Integration of Motor Learning Principles Into Real-Time Ambulatory Voice Biofeedback and Example Implementation Via a Clinical Case Study With Vocal Fold Nodules

2017 ◽  
Vol 26 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Jarrad H. Van Stan ◽  
Daryush D. Mehta ◽  
Robert J. Petit ◽  
Dagmar Sternad ◽  
Jason Muise ◽  
...  
Keyword(s):  
Motor Learning ◽  
Relative Frequency ◽  
Vocal Fold ◽  
Clinical Case ◽  
Clinical Effectiveness ◽  
Vocal Behavior ◽  
Clinical Case Study ◽  
Learning Principles ◽  
Vocal Fold Nodules

Purpose Ambulatory voice biofeedback (AVB) has the potential to significantly improve voice therapy effectiveness by targeting one of the most challenging aspects of rehabilitation: carryover of desired behaviors outside of the therapy session. Although initial evidence indicates that AVB can alter vocal behavior in daily life, retention of the new behavior after biofeedback has not been demonstrated. Motor learning studies repeatedly have shown retention-related benefits when reducing feedback frequency or providing summary statistics. Therefore, novel AVB settings that are based on these concepts are developed and implemented. Method The underlying theoretical framework and resultant implementation of innovative AVB settings on a smartphone-based voice monitor are described. A clinical case study demonstrates the functionality of the new relative frequency feedback capabilities. Results With new technical capabilities, 2 aspects of feedback are directly modifiable for AVB: relative frequency and summary feedback. Although reduced-frequency AVB was associated with improved carryover of a therapeutic vocal behavior (i.e., reduced vocal intensity) in a patient post-excision of vocal fold nodules, causation cannot be assumed. Conclusions Timing and frequency of AVB schedules can be manipulated to empirically assess generalization of motor learning principles to vocal behavior modification and test the clinical effectiveness of AVB with various feedback schedules.

Advantages of virtual reality in the rehabilitation of balance and gait

Neurology ◽  
2018 ◽  
Vol 90 (22) ◽  
pp. 1017-1025 ◽  
Author(s):  
Desiderio Cano Porras ◽  
Petra Siemonsma ◽  
Rivka Inzelberg ◽  
Gabriel Zeilig ◽  
Meir Plotnik
Keyword(s):  
Virtual Reality ◽  
Motor Learning ◽  
Cochrane Collaboration ◽  
Intervention Programs ◽  
Randomized Controlled ◽  
Methodologic Quality ◽  
Newcastle Ottawa Scale ◽  
Meta Analyses ◽  
Learning Principles ◽  
Ottawa Scale

BackgroundVirtual reality (VR) has emerged as a therapeutic tool facilitating motor learning for balance and gait rehabilitation. The evidence, however, has not yet resulted in standardized guidelines. The aim of this study was to systematically review the application of VR-based rehabilitation of balance and gait in 6 neurologic cohorts, describing methodologic quality, intervention programs, and reported efficacy.MethodsThis study follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. VR-based treatments of Parkinson disease, multiple sclerosis, acute and chronic poststroke, traumatic brain injury, and cerebral palsy were researched in PubMed and Scopus, including earliest available records. Therapeutic validity (CONTENT scale) and risk of bias in randomized controlled trials (RCT) (Cochrane Collaboration tool) and non-RCT (Newcastle-Ottawa scale) were assessed.ResultsNinety-seven articles were included, 68 published in 2013 or later. VR improved balance and gait in all cohorts, especially when combined with conventional rehabilitation. Most studies presented poor methodologic quality, lacked a clear rationale for intervention programs, and did not utilize motor learning principles meticulously. RCTs with more robust methodologic designs were widely recommended.ConclusionOur results suggest that VR-based rehabilitation is developing rapidly, has the potential to improve balance and gait in neurologic patients, and brings additional benefits when combined with conventional rehabilitation. This systematic review provides detailed information for developing theory-driven protocols that may assist overcoming the observed lack of argued choices for intervention programs and motor learning implementation and serves as a reference for the design and planning of personalized VR-based treatments.RegistrationPROSPERO CRD42016042051.

Effect of Quiet Eye and Quiet Mind Training on Motor Learning Among Novice Dart Players

Motor Control ◽  
2020 ◽  
Vol 24 (2) ◽  
pp. 204-221
Author(s):  
Ebrahim Norouzi ◽  
Fatemeh Sadat Hosseini ◽  
Mohammad Vaezmosavi ◽  
Markus Gerber ◽  
Uwe Pühse ◽  
...  
Keyword(s):  
Motor Learning ◽  
Implicit Learning ◽  
Motor Skill ◽  
Stress Conditions ◽  
Fine Motor ◽  
Fine Motor Skill ◽  
Quiet Eye ◽  
Mind Training ◽  
Over Time

In sport such as darts, athletes are particularly challenged by demands for concentration, skills underpinned by implicit learning, and fine motor skill control. Several techniques have been proposed to improve the implicit learning of such skills, including quiet eye training (QET) and quiet mind training (QMT). Here, the authors tested whether and to what extent QET or QMT, compared with a control condition, might improve skills among novice dart players. In total, 30 novice dart players were randomly assigned either to the QET, QMT, or a control condition. Dart playing skills were assessed four times: at the baseline, 7 days later, under stress conditions, and at the study’s end. Over time, errors reduced, but more so in the QET and QMT conditions than in the control condition. The pattern of the results indicates that, among novice dart players and compared with a control condition, both QET and QMT provide significant improvements in implicit learning.

scholarly journals Sensorimotor cortex beta oscillations reflect motor skill learning ability after stroke

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Svenja Espenhahn ◽  
Holly E Rossiter ◽  
Bernadette C M van Wijk ◽  
Nell Redman ◽  
Jane M Rondina ◽  
...  
Keyword(s):  
Motor Learning ◽  
Sensorimotor Cortex ◽  
Motor Skill ◽  
Motor Performance ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Healthy Controls ◽  
Stroke Patients ◽  
Beta Oscillations ◽  
And Performance

Abstract Recovery of skilled movement after stroke is assumed to depend on motor learning. However, the capacity for motor learning and factors that influence motor learning after stroke have received little attention. In this study, we first compared motor skill acquisition and retention between well-recovered stroke patients and age- and performance-matched healthy controls. We then tested whether beta oscillations (15–30 Hz) from sensorimotor cortices contribute to predicting training-related motor performance. Eighteen well-recovered chronic stroke survivors (mean age 64 ± 8 years, range: 50–74 years) and 20 age- and sex-matched healthy controls were trained on a continuous tracking task and subsequently retested after initial training (45–60 min and 24 h later). Scalp electroencephalography was recorded during the performance of a simple motor task before each training and retest session. Stroke patients demonstrated capacity for motor skill learning, but it was diminished compared to age- and performance-matched healthy controls. Furthermore, although the properties of beta oscillations prior to training were comparable between stroke patients and healthy controls, stroke patients did show less change in beta measures with motor learning. Lastly, although beta oscillations did not help to predict motor performance immediately after training, contralateral (ipsilesional) sensorimotor cortex post-movement beta rebound measured after training helped predict future motor performance, 24 h after training. This finding suggests that neurophysiological measures such as beta oscillations can help predict response to motor training in chronic stroke patients and may offer novel targets for therapeutic interventions.

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