Literature DB >> 19787345

Comparison of error-amplification and haptic-guidance training techniques for learning of a timing-based motor task by healthy individuals.

Marie-Hélène Milot1, Laura Marchal-Crespo, Christopher S Green, Steven C Cramer, David J Reinkensmeyer.   

Abstract

Performance errors drive motor learning for many tasks. Some researchers have suggested that reducing performance errors with haptic guidance can benefit learning by demonstrating correct movements, while others have suggested that artificially increasing errors will force faster and more complete learning. This study compared the effect of these two techniques--haptic guidance and error amplification--as healthy subjects learned to play a computerized pinball-like game. The game required learning to press a button using wrist movement at the correct time to make a flipper hit a falling ball to a randomly positioned target. Errors were decreased or increased using a robotic device that retarded or accelerated wrist movement, based on sensed movement initiation timing errors. After training with either error amplification or haptic guidance, subjects significantly reduced their timing errors and generalized learning to untrained targets. However, for a subset of more skilled subjects, training with amplified errors produced significantly greater learning than training with the reduced errors associated with haptic guidance, while for a subset of less skilled subjects, training with haptic guidance seemed to benefit learning more. These results suggest that both techniques help enhanced performance of a timing task, but learning is optimized if training subjects with the appropriate technique based on their baseline skill level.

Entities:  

Mesh:

Year:  2009        PMID: 19787345     DOI: 10.1007/s00221-009-2014-z

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  44 in total

1.  Composition and decomposition of internal models in motor learning under altered kinematic and dynamic environments.

Authors:  J R Flanagan; E Nakano; H Imamizu; R Osu; T Yoshioka; M Kawato
Journal:  J Neurosci       Date:  1999-10-15       Impact factor: 6.167

2.  What and when: parallel and convergent processing in motor control.

Authors:  K Sakai; O Hikosaka; R Takino; S Miyauchi; M Nielsen; T Tamada
Journal:  J Neurosci       Date:  2000-04-01       Impact factor: 6.167

Review 3.  Functions of the mirror neuron system: implications for neurorehabilitation.

Authors:  Giovanni Buccino; Ana Solodkin; Steven L Small
Journal:  Cogn Behav Neurol       Date:  2006-03       Impact factor: 1.600

4.  Robot-assisted adaptive training: custom force fields for teaching movement patterns.

Authors:  James L Patton; Ferdinando A Mussa-Ivaldi
Journal:  IEEE Trans Biomed Eng       Date:  2004-04       Impact factor: 4.538

Review 5.  Motor learning in man: a review of functional and clinical studies.

Authors:  Ulrike Halsband; Regine K Lange
Journal:  J Physiol Paris       Date:  2006-05-26

6.  Motor adaptation as a process of reoptimization.

Authors:  Jun Izawa; Tushar Rane; Opher Donchin; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-03-12       Impact factor: 6.167

7.  Robot-based hand motor therapy after stroke.

Authors:  Craig D Takahashi; Lucy Der-Yeghiaian; Vu Le; Rehan R Motiwala; Steven C Cramer
Journal:  Brain       Date:  2007-12-20       Impact factor: 13.501

8.  Investigating the human mirror neuron system by means of cortical synchronization during the imitation of biological movements.

Authors:  Klaus Kessler; Katja Biermann-Ruben; Melanie Jonas; Hartwig Roman Siebner; Tobias Bäumer; Alexander Münchau; Alfons Schnitzler
Journal:  Neuroimage       Date:  2006-07-28       Impact factor: 6.556

9.  Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study.

Authors:  Leonard E Kahn; Michele L Zygman; W Zev Rymer; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2006-06-21       Impact factor: 4.262

10.  Using visual feedback distortion to alter coordinated pinching patterns for robotic rehabilitation.

Authors:  Yoky Matsuoka; Bambi R Brewer; Roberta L Klatzky
Journal:  J Neuroeng Rehabil       Date:  2007-05-30       Impact factor: 4.262

View more
  38 in total

1.  Adaptation to novel visuo-motor transformations: further evidence of functional haptic neglect.

Authors:  Herbert Heuer; Katrin Rapp
Journal:  Exp Brain Res       Date:  2012-02-11       Impact factor: 1.972

2.  Breaking it down is better: haptic decomposition of complex movements aids in robot-assisted motor learning.

Authors:  Julius Klein; Steven J Spencer; David J Reinkensmeyer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-04-18       Impact factor: 3.802

3.  Haptic guidance interferes with learning to make movements at an angle to stimulus direction.

Authors:  Herbert Heuer; Katrin Rapp
Journal:  Exp Brain Res       Date:  2013-11-26       Impact factor: 1.972

4.  Sonification and haptic feedback in addition to visual feedback enhances complex motor task learning.

Authors:  Roland Sigrist; Georg Rauter; Laura Marchal-Crespo; Robert Riener; Peter Wolf
Journal:  Exp Brain Res       Date:  2014-12-16       Impact factor: 1.972

5.  Can proprioceptive training improve motor learning?

Authors:  Jeremy D Wong; Dinant A Kistemaker; Alvin Chin; Paul L Gribble
Journal:  J Neurophysiol       Date:  2012-09-12       Impact factor: 2.714

Review 6.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

Authors:  Roland Sigrist; Georg Rauter; Robert Riener; Peter Wolf
Journal:  Psychon Bull Rev       Date:  2013-02

7.  Robotic guidance benefits the learning of dynamic, but not of spatial movement characteristics.

Authors:  Jenna Lüttgen; Herbert Heuer
Journal:  Exp Brain Res       Date:  2012-07-27       Impact factor: 1.972

8.  Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

Authors:  Justin B Rowe; Vicky Chan; Morgan L Ingemanson; Steven C Cramer; Eric T Wolbrecht; David J Reinkensmeyer
Journal:  Neurorehabil Neural Repair       Date:  2017-08       Impact factor: 3.919

9.  The effect of haptic guidance and visual feedback on learning a complex tennis task.

Authors:  Laura Marchal-Crespo; Mark van Raai; Georg Rauter; Peter Wolf; Robert Riener
Journal:  Exp Brain Res       Date:  2013-09-08       Impact factor: 1.972

10.  Motor learning with fading and growing haptic guidance.

Authors:  Herbert Heuer; Jenna Lüttgen
Journal:  Exp Brain Res       Date:  2014-04-16       Impact factor: 1.972

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.