scholarly journals Neural substrates underlying motor skill learning in chronic hemiparetic stroke patients

2015 ◽  
Vol 9 ◽  
Author(s):  
Stéphanie Lefebvre ◽  
Laurence Dricot ◽  
Patrice Laloux ◽  
Wojciech Gradkowski ◽  
Philippe Desfontaines ◽  
...  
Keyword(s):  
Motor Skill ◽  
Neural Substrates ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Stroke Patients ◽  
Hemiparetic Stroke ◽  
Chronic Hemiparetic Stroke

Neural substrates underlying early motor skill learning in chronic stroke patients: A fMRI study

2013 ◽  
Vol 333 ◽  
pp. e571
Author(s):  
S. Lefebvre ◽  
L. Dricot ◽  
W. Gradkowski ◽  
P. Laloux ◽  
P. Desfontaines ◽  
...  
Keyword(s):  
Motor Skill ◽  
Neural Substrates ◽  
Chronic Stroke ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Stroke Patients ◽  
Fmri Study

scholarly journals Motor Skill Learning on the Ipsi-Lateral Upper Extremity to the Damaged Hemisphere in Stroke Patients

2019 ◽  
Vol 31 (4) ◽  
pp. 212-215
Author(s):  
Sung Min Son ◽  
Yoon Tae Hwang ◽  
Seok Hyun Nam ◽  
Yonghyun Kwon
Keyword(s):  
Upper Extremity ◽  
Motor Skill ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Stroke Patients

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.

Neurobiology of Nondeclarative Memory: A Selected Review on Motor

2014 ◽  
Vol 24 (2) ◽  
pp. 43-49
Author(s):  
Sara Cavaco
Keyword(s):  
Skill Acquisition ◽  
Motor Skill ◽  
Current Knowledge ◽  
Neural Substrates ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Motor Sequence ◽  
Motor Skill Acquisition ◽  
Differential Contribution ◽  
Experience Difficulty

There is extensive evidence and it is widely recognized that motor skill learning is spared in patients with dense amnesia. However, the neural substrates of motor skill learning are a continuing topic of research and a current matter of debate. This review focuses on the differential contribution of the striatum and the cerebellum to learning skills that require either motor sequence or motor adaptation. A brief overview of the current knowledge helps understand why certain patient populations, such as patients with Parkinson's disease and patients with cerebellar ataxia, experience difficulty with motor skill acquisition.

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

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

AbstractRecovery 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 firstly compared motor skill acquisition and retention between well-recovered stroke patients and age- and performance-matched healthy controls. We then tested whether beta oscillations (15–30Hz) 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 twenty age- and sex-matched healthy controls were trained on a continuous tracking task and subsequently retested after initial training (45–60 min and 24 hours later). Scalp EEG 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. Further, 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 (PMBR) measured after training helped predict future motor performance, 24 hours 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.

Sign in / Sign up

Export Citation Format

Share Document