Literature DB >> 28511125

The many facets of motor learning and their relevance for Parkinson's disease.

Lucio Marinelli1, Angelo Quartarone2, Mark Hallett3, Giuseppe Frazzitta4, Maria Felice Ghilardi5.   

Abstract

The final goal of motor learning, a complex process that includes both implicit and explicit (or declarative) components, is the optimization and automatization of motor skills. Motor learning involves different neural networks and neurotransmitters systems depending on the type of task and on the stage of learning. After the first phase of acquisition, a motor skill goes through consolidation (i.e., becoming resistant to interference) and retention, processes in which sleep and long-term potentiation seem to play important roles. The studies of motor learning in Parkinson's disease have yielded controversial results that likely stem from the use of different experimental paradigms. When a task's characteristics, instructions, context, learning phase and type of measures are taken into consideration, it is apparent that, in general, only learning that relies on attentional resources and cognitive strategies is affected by PD, in agreement with the finding of a fronto-striatal deficit in this disease. Levodopa administration does not seem to reverse the learning deficits in PD, while deep brain stimulation of either globus pallidus or subthalamic nucleus appears to be beneficial. Finally and most importantly, patients with PD often show a decrease in retention of newly learned skill, a problem that is present even in the early stages of the disease. A thorough dissection and understanding of the processes involved in motor learning is warranted to provide solid bases for effective medical, surgical and rehabilitative approaches in PD.
Copyright © 2017 International Federation of Clinical Neurophysiology. All rights reserved.

Entities:  

Keywords:  Declarative learning; Dopamine; Exercise; Implicit learning; Levodopa; Plasticity

Mesh:

Substances:

Year:  2017        PMID: 28511125      PMCID: PMC5486221          DOI: 10.1016/j.clinph.2017.03.042

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  203 in total

1.  Independent learning of internal models for kinematic and dynamic control of reaching.

Authors:  J W Krakauer; M F Ghilardi; C Ghez
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

Review 2.  Catecholamine regulation of the prefrontal cortex.

Authors:  A F Arnsten
Journal:  J Psychopharmacol       Date:  1997       Impact factor: 4.153

3.  Paradoxical kinesia at war.

Authors:  Ilana Schlesinger; Ilana Erikh; David Yarnitsky
Journal:  Mov Disord       Date:  2007-12       Impact factor: 10.338

4.  On the development of procedural knowledge.

Authors:  D B Willingham; M J Nissen; P Bullemer
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1989-11       Impact factor: 3.051

5.  An FMRI study of the role of the medial temporal lobe in implicit and explicit sequence learning.

Authors:  Haline E Schendan; Meghan M Searl; Rebecca J Melrose; Chantal E Stern
Journal:  Neuron       Date:  2003-03-27       Impact factor: 17.173

6.  Impairments in the learning and performance of a new manual skill in patients with Parkinson's disease.

Authors:  C D Frith; C A Bloxham; K N Carpenter
Journal:  J Neurol Neurosurg Psychiatry       Date:  1986-06       Impact factor: 10.154

Review 7.  Motor automaticity in Parkinson's disease.

Authors:  Tao Wu; Mark Hallett; Piu Chan
Journal:  Neurobiol Dis       Date:  2015-06-21       Impact factor: 5.996

8.  Are spatial memories strengthened in the human hippocampus during slow wave sleep?

Authors:  Philippe Peigneux; Steven Laureys; Sonia Fuchs; Fabienne Collette; Fabien Perrin; Jean Reggers; Christophe Phillips; Christian Degueldre; Guy Del Fiore; Joël Aerts; André Luxen; Pierre Maquet
Journal:  Neuron       Date:  2004-10-28       Impact factor: 17.173

9.  Adaptation to visuomotor transformations: consolidation, interference, and forgetting.

Authors:  John W Krakauer; Claude Ghez; M Felice Ghilardi
Journal:  J Neurosci       Date:  2005-01-12       Impact factor: 6.167

Review 10.  Psychosocial Modulators of Motor Learning in Parkinson's Disease.

Authors:  Petra Zemankova; Ovidiu Lungu; Martin Bares
Journal:  Front Hum Neurosci       Date:  2016-02-29       Impact factor: 3.169

View more
  30 in total

Review 1.  Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Am J Speech Lang Pathol       Date:  2018-08-06       Impact factor: 2.408

2.  Measuring vocal motor skill with a virtual voice-controlled slingshot.

Authors:  Jarrad H Van Stan; Se-Woong Park; Matthew Jarvis; Daryush D Mehta; Robert E Hillman; Dagmar Sternad
Journal:  J Acoust Soc Am       Date:  2017-09       Impact factor: 1.840

Review 3.  Towards understanding neural network signatures of motor skill learning in Parkinson's disease and healthy aging.

Authors:  Evelien Nackaerts; Nicholas D'Cruz; Bauke W Dijkstra; Moran Gilat; Thomas Kramer; Alice Nieuwboer
Journal:  Br J Radiol       Date:  2019-05-14       Impact factor: 3.039

4.  Tracing the brain circuitry underlying movement and mood symptoms in Parkinson's disease.

Authors: 
Journal:  Nature       Date:  2022-06-08       Impact factor: 49.962

5.  Whole-Exome Sequencing Analysis of Alzheimer's Disease in Non-APOE*4 Carriers.

Authors:  Kang-Hsien Fan; Eleanor Feingold; Samantha L Rosenthal; F Yesim Demirci; Mary Ganguli; Oscar L Lopez; M Ilyas Kamboh
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

6.  Dopamine replacement improves motor learning of an upper extremity task in people with Parkinson disease.

Authors:  Serene S Paul; Leland E Dibble; Genevieve N Olivier; Christopher Walter; Kevin Duff; Sydney Y Schaefer
Journal:  Behav Brain Res       Date:  2019-09-14       Impact factor: 3.332

7.  Gray matter volume covariance patterns associated with gait speed in older adults: a multi-cohort MRI study.

Authors:  Helena M Blumen; Lucy L Brown; Christian Habeck; Gilles Allali; Emmeline Ayers; Olivier Beauchet; Michele Callisaya; Richard B Lipton; P S Mathuranath; Thanh G Phan; V G Pradeep Kumar; Velandai Srikanth; Joe Verghese
Journal:  Brain Imaging Behav       Date:  2019-04       Impact factor: 3.978

8.  Feasibility of combining functional near-infrared spectroscopy with electroencephalography to identify chronic stroke responders to cerebellar transcranial direct current stimulation-a computational modeling and portable neuroimaging methodological study.

Authors:  Zeynab Rezaee; Shashi Ranjan; Dhaval Solanki; Mahasweta Bhattacharya; M V Padma Srivastava; Uttama Lahiri; Anirban Dutta
Journal:  Cerebellum       Date:  2021-03-06       Impact factor: 3.847

9.  Brain connectivity during simulated balance in older adults with and without Parkinson's disease.

Authors:  Elizabeth P Pasman; Martin J McKeown; Saurabh Garg; Taylor W Cleworth; Bastiaan R Bloem; J Timothy Inglis; Mark G Carpenter
Journal:  Neuroimage Clin       Date:  2021-04-16       Impact factor: 4.881

10.  Extended Visual Sequence Learning Leaves a Local Trace in the Spontaneous EEG.

Authors:  Serena Ricci; Elisa Tatti; Aaron B Nelson; Priya Panday; Henry Chen; Giulio Tononi; Chiara Cirelli; M Felice Ghilardi
Journal:  Front Neurosci       Date:  2021-07-16       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.