Motor learning in Parkinson's disease: limitations and potential for rehabilitation

2009 ◽  
Vol 15 ◽  
pp. S53-S58 ◽  
Author(s):  
Alice Nieuwboer ◽  
Lynn Rochester ◽  
Liesbeth Müncks ◽  
Stephan P. Swinnen
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Learning

Cognition and motor learning in a Parkinson’s disease cohort

Neuroreport ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Yu-Chen Chung ◽  
Beth E. Fisher ◽  
James M. Finley ◽  
Aram Kim ◽  
Andrew J. Petkus ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Learning

scholarly journals Towards understanding neural network signatures of motor skill learning in Parkinson’s disease and healthy aging

2019 ◽  
Vol 92 (1101) ◽  
pp. 20190071 ◽  
Author(s):  
Evelien Nackaerts ◽  
Nicholas D'Cruz ◽  
Bauke W Dijkstra ◽  
Moran Gilat ◽  
Thomas Kramer ◽  
...  
Keyword(s):  
Neural Network ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Learning ◽  
Healthy Aging ◽  
Network Connectivity ◽  
Cognitive Networks ◽  
Skill Learning ◽  
Point Of View ◽  
Detailed Knowledge

In the past decade, neurorehabilitation has been shown to be an effective therapeutic supplement for patients with Parkinson’s disease (PD). However, patients still experience severe problems with the consolidation of learned motor skills. Knowledge on the neural correlates underlying this process is thus essential to optimize rehabilitation for PD. This review investigates the existing studies on neural network connectivity changes in relation to motor learning in healthy aging and PD and critically evaluates the imaging methods used from a methodological point of view. The results indicate that despite neurodegeneration there is still potential to modify connectivity within and between motor and cognitive networks in response to motor training, although these alterations largely bypass the most affected regions in PD. However, so far training-related changes are inferred and possible relationships are not substantiated by brain–behavior correlations. Furthermore, the studies included suffer from many methodological drawbacks. This review also highlights the potential for using neural network measures as predictors for the response to rehabilitation, mainly based on work in young healthy adults. We speculate that future approaches, including graph theory and multimodal neuroimaging, may be more sensitive than brain activation patterns and model-based connectivity maps to capture the effects of motor learning. Overall, this review suggests that methodological developments in neuroimaging will eventually provide more detailed knowledge on how neural networks are modified by training, thereby paving the way for optimized neurorehabilitation for patients.

Relationship between motor learning and the Iowa Gambling Task in Parkinson’s disease

2017 ◽  
Vol 381 ◽  
pp. 1044
Author(s):  
N. Ueda ◽  
Y. Higashiyama ◽  
K. Kimura ◽  
M. Okamoto ◽  
H. Joki ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Learning ◽  
Iowa Gambling Task ◽  
Gambling Task

scholarly journals Impaired Retention of Motor Learning of Writing Skills in Patients with Parkinson’s Disease with Freezing of Gait

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0148933 ◽  
Author(s):  
Elke Heremans ◽  
Evelien Nackaerts ◽  
Griet Vervoort ◽  
Sanne Broeder ◽  
Stephan P. Swinnen ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Learning ◽  
Writing Skills ◽  
Freezing Of Gait

Motor learning benefits of self-controlled practice in persons with Parkinson's disease

2012 ◽  
Vol 35 (4) ◽  
pp. 601-605 ◽  
Author(s):  
Suzete Chiviacowsky ◽  
Gabriele Wulf ◽  
Rebecca Lewthwaite ◽  
Tiago Campos
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Learning
Sign in / Sign up

Export Citation Format

Share Document