Literature DB >> 20610753

Neuronal correlates of memory formation in motor cortex after adaptation to force field.

Fritzie Arce1, Itai Novick, Yael Mandelblat-Cerf, Eilon Vaadia.   

Abstract

Activity of single neurons in the motor cortex has been shown to change during acquisition of motor skills. We previously reported that the combined activity of cell ensembles in the motor cortex of monkeys (Macaca fascicularis) evolves during adaptation to a novel force field perturbation to encode the direction of compensatory force when reaching to visual targets. We also showed that the population directional signal was altered by the available sensory feedback. Here, we examined whether traces of such activity would linger on to later constitute motor memories of the newly acquired skill and whether memory traces would differ depending on feedback. We found that motor-cortical cell ensembles retained features of their adaptive activity pattern in the absence of perturbation when reaching to both learned and unlearned targets. Moreover, the preferred directions of these cells rotated in the direction of force field while the entire population of cells produced no net rotation of preferred direction when returning to null-field reaches. Whereas the activity pattern and preferred direction rotations were comparable with and without visual feedback, changes in tuning amplitudes differed across feedback conditions. Last, savings in behavioral performance and neuronal activity during later reexposure to force field were apparent. Overall, the findings reflect a novel representation of motor memory by cell ensembles and indicate a putative role of the motor cortex in early acquisition of motor memory.

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Year:  2010        PMID: 20610753      PMCID: PMC6632465          DOI: 10.1523/JNEUROSCI.1603-10.2010

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  22 in total

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2.  Reversible large-scale modification of cortical networks during neuroprosthetic control.

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3.  Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models.

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4.  Asymmetric generalization in adaptation to target displacement errors in humans and in a neural network model.

Authors:  Stephanie Westendorff; Shenbing Kuang; Bahareh Taghizadeh; Opher Donchin; Alexander Gail
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5.  The influence of proprioceptive state on learning control of reach dynamics.

Authors:  Andrea M Green; Jean-Philippe Labelle
Journal:  Exp Brain Res       Date:  2015-07-14       Impact factor: 1.972

6.  Learning to Predict and Control the Physics of Our Movements.

Authors:  Reza Shadmehr
Journal:  J Neurosci       Date:  2017-02-15       Impact factor: 6.167

7.  Changes in corticospinal excitability during reach adaptation in force fields.

Authors:  Jean-Jacques Orban de Xivry; Mohammad Ali Ahmadi-Pajouh; Michelle D Harran; Yousef Salimpour; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2012-10-03       Impact factor: 2.714

8.  Primary motor cortical discharge during force field adaptation reflects muscle-like dynamics.

Authors:  Anil Cherian; Hugo L Fernandes; Lee E Miller
Journal:  J Neurophysiol       Date:  2013-05-08       Impact factor: 2.714

9.  Modulation dynamics in the orofacial sensorimotor cortex during motor skill acquisition.

Authors:  Fritzie I Arce-McShane; Nicholas G Hatsopoulos; Jye-Chang Lee; Callum F Ross; Barry J Sessle
Journal:  J Neurosci       Date:  2014-04-23       Impact factor: 6.167

10.  Contributions of the cerebellum and the motor cortex to acquisition and retention of motor memories.

Authors:  David J Herzfeld; Damien Pastor; Adrian M Haith; Yves Rossetti; Reza Shadmehr; Jacinta O'Shea
Journal:  Neuroimage       Date:  2014-05-09       Impact factor: 6.556

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