Literature DB >> 30689760

Can patients with cerebellar disease switch learning mechanisms to reduce their adaptation deficits?

Aaron L Wong1, Cherie L Marvel2,3, Jordan A Taylor4, John W Krakauer2,5.   

Abstract

Systematic perturbations in motor adaptation tasks are primarily countered by learning from sensory-prediction errors, with secondary contributions from other learning processes. Despite the availability of these additional processes, particularly the use of explicit re-aiming to counteract observed target errors, patients with cerebellar degeneration are surprisingly unable to compensate for their sensory-prediction error deficits by spontaneously switching to another learning mechanism. We hypothesized that if the nature of the task was changed-by allowing vision of the hand, which eliminates sensory-prediction errors-patients could be induced to preferentially adopt aiming strategies to solve visuomotor rotations. To test this, we first developed a novel visuomotor rotation paradigm that provides participants with vision of their hand in addition to the cursor, effectively setting the sensory-prediction error signal to zero. We demonstrated in younger healthy control subjects that this promotes a switch to strategic re-aiming based on target errors. We then showed that with vision of the hand, patients with cerebellar degeneration could also switch to an aiming strategy in response to visuomotor rotations, performing similarly to age-matched participants (older controls). Moreover, patients could retrieve their learned aiming solution after vision of the hand was removed (although they could not improve beyond what they retrieved), and retain it for at least 1 year. Both patients and older controls, however, exhibited impaired overall adaptation performance compared to younger healthy controls (age 18-33 years), likely due to age-related reductions in spatial and working memory. Patients also failed to generalize, i.e. they were unable to adopt analogous aiming strategies in response to novel rotations. Hence, there appears to be an inescapable obligatory dependence on sensory-prediction error-based learning-even when this system is impaired in patients with cerebellar disease. The persistence of sensory-prediction error-based learning effectively suppresses a switch to target error-based learning, which perhaps explains the unexpectedly poor performance by patients with cerebellar degeneration in visuomotor adaptation tasks.
© The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  ageing; aiming strategy; cerebellar disease; retrieval; visuomotor adaptation

Mesh:

Year:  2019        PMID: 30689760      PMCID: PMC6391651          DOI: 10.1093/brain/awy334

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  54 in total

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Authors:  Herbert Heuer; Mathias Hegele
Journal:  Psychol Aging       Date:  2008-03

2.  The influence of movement preparation time on the expression of visuomotor learning and savings.

Authors:  Adrian M Haith; David M Huberdeau; John W Krakauer
Journal:  J Neurosci       Date:  2015-04-01       Impact factor: 6.167

3.  Feedback delay attenuates implicit but facilitates explicit adjustments to a visuomotor rotation.

Authors:  Raphael Schween; Mathias Hegele
Journal:  Neurobiol Learn Mem       Date:  2017-02-28       Impact factor: 2.877

Review 4.  Dual-process decomposition in human sensorimotor adaptation.

Authors:  David M Huberdeau; John W Krakauer; Adrian M Haith
Journal:  Curr Opin Neurobiol       Date:  2015-03-28       Impact factor: 6.627

5.  The cerebellar cognitive affective syndrome.

Authors:  J D Schmahmann; J C Sherman
Journal:  Brain       Date:  1998-04       Impact factor: 13.501

6.  Intact ability to learn internal models of arm dynamics in Huntington's disease but not cerebellar degeneration.

Authors:  Maurice A Smith; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2004-12-29       Impact factor: 2.714

7.  Overcoming motor "forgetting" through reinforcement of learned actions.

Authors:  Lior Shmuelof; Vincent S Huang; Adrian M Haith; Raymond J Delnicki; Pietro Mazzoni; John W Krakauer
Journal:  J Neurosci       Date:  2012-10-17       Impact factor: 6.167

8.  Contributions of spatial working memory to visuomotor learning.

Authors:  Joaquin A Anguera; Patricia A Reuter-Lorenz; Daniel T Willingham; Rachael D Seidler
Journal:  J Cogn Neurosci       Date:  2010-09       Impact factor: 3.225

9.  Flexible cognitive strategies during motor learning.

Authors:  Jordan A Taylor; Richard B Ivry
Journal:  PLoS Comput Biol       Date:  2011-03-03       Impact factor: 4.475

10.  The contribution of the cerebellum to cognition in Spinocerebellar Ataxia Type 6.

Authors:  Freya E Cooper; Manon Grube; Kelly J Elsegood; John L Welch; Thomas P Kelly; Patrick F Chinnery; Timothy D Griffiths
Journal:  Behav Neurol       Date:  2010       Impact factor: 3.342

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  15 in total

1.  Domain-Specific Working Memory, But Not Dopamine-Related Genetic Variability, Shapes Reward-Based Motor Learning.

Authors:  Peter Holland; Olivier Codol; Elizabeth Oxley; Madison Taylor; Elizabeth Hamshere; Shadiq Joseph; Laura Huffer; Joseph M Galea
Journal:  J Neurosci       Date:  2019-10-11       Impact factor: 6.167

2.  Individual sensorimotor adaptation characteristics are independent across orofacial speech movements and limb reaching movements.

Authors:  Nick M Kitchen; Kwang S Kim; Prince Z Wang; Robert J Hermosillo; Ludo Max
Journal:  J Neurophysiol       Date:  2022-08-10       Impact factor: 2.974

3.  Visuomotor Adaptation Deficits in Patients with Essential Tremor.

Authors:  Laura Bindel; Christoph Mühlberg; Victoria Pfeiffer; Matthias Nitschke; Annekatrin Müller; Mirko Wegscheider; Jost-Julian Rumpf; Kirsten E Zeuner; Jos S Becktepe; Julius Welzel; Miriam Güthe; Joseph Classen; Elinor Tzvi
Journal:  Cerebellum       Date:  2022-09-09       Impact factor: 3.648

4.  Competition between parallel sensorimotor learning systems.

Authors:  Scott T Albert; Jihoon Jang; Shanaathanan Modchalingam; Bernard Marius 't Hart; Denise Henriques; Gonzalo Lerner; Valeria Della-Maggiore; Adrian M Haith; John W Krakauer; Reza Shadmehr
Journal:  Elife       Date:  2022-02-28       Impact factor: 8.713

5.  Motor learning without moving: Proprioceptive and predictive hand localization after passive visuoproprioceptive discrepancy training.

Authors:  Ahmed A Mostafa; Bernard Marius 't Hart; Denise Y P Henriques
Journal:  PLoS One       Date:  2019-08-29       Impact factor: 3.240

6.  Eye Movements during Visuomotor Adaptation Represent Only Part of the Explicit Learning.

Authors:  Zohar Bromberg; Opher Donchin; Shlomi Haar
Journal:  eNeuro       Date:  2019-12-23

7.  Reinforcement Signaling Can Be Used to Reduce Elements of Cerebellar Reaching Ataxia.

Authors:  Amanda S Therrien; Matthew A Statton; Amy J Bastian
Journal:  Cerebellum       Date:  2021-02       Impact factor: 3.847

Review 8.  The Psychology of Reaching: Action Selection, Movement Implementation, and Sensorimotor Learning.

Authors:  Hyosub E Kim; Guy Avraham; Richard B Ivry
Journal:  Annu Rev Psychol       Date:  2020-09-25       Impact factor: 24.137

9.  The effect of age on visuomotor learning processes.

Authors:  Chad Michael Vachon; Shanaathanan Modchalingam; Bernard Marius 't Hart; Denise Y P Henriques
Journal:  PLoS One       Date:  2020-09-14       Impact factor: 3.240

10.  External error attribution dampens efferent-based predictions but not proprioceptive changes in hand localization.

Authors:  Raphael Q Gastrock; Shanaathanan Modchalingam; Bernard Marius 't Hart; Denise Y P Henriques
Journal:  Sci Rep       Date:  2020-11-16       Impact factor: 4.379

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