Literature DB >> 21325515

Dopaminergic projections from midbrain to primary motor cortex mediate motor skill learning.

Jonas A Hosp1, Ana Pekanovic, Mengia S Rioult-Pedotti, Andreas R Luft.   

Abstract

The primary motor cortex (M1) of the rat contains dopaminergic terminals. The origin of this dopaminergic projection and its functional role for movement are obscure. Other areas of cortex receive dopaminergic projections from the ventral tegmental area (VTA) of the midbrain, and these projections are involved in learning phenomena. We therefore hypothesized that M1 receives a dopaminergic projection from VTA and that this projection mediates the learning of a motor skill by inducing cellular plasticity events in M1. Retrograde tracing from M1 of Long-Evans rats in conjunction with tyrosine hydroxylase immunohistochemistry identified dopaminergic cell bodies in VTA. Electrical stimulation of VTA induced expression of the immediate-early gene c-fos in M1, which was blocked by intracortical injections of D(1) and D(2) antagonists. Destroying VTA dopaminergic neurons prevented the improvements in forelimb reaching seen in controls during daily training. Learning recovered on administration of levodopa into the M1 of VTA-lesioned animals. Lesioning VTA did not affect performance of an already learned skill, hence, left movement execution intact. These findings provide evidence that dopaminergic terminals in M1 originate in VTA, contribute to M1 plasticity, and are necessary for successful motor skill learning. Because VTA dopaminergic neurons are known to signal rewards, the VTA-to-M1 projection is a candidate for relaying reward information that could directly support the encoding of a motor skill within M1.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21325515      PMCID: PMC6623715          DOI: 10.1523/JNEUROSCI.5411-10.2011

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


  132 in total

Review 1.  Are we ready for a natural history of motor learning?

Authors:  Lior Shmuelof; John W Krakauer
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

Review 2.  Principles of sensorimotor learning.

Authors:  Daniel M Wolpert; Jörn Diedrichsen; J Randall Flanagan
Journal:  Nat Rev Neurosci       Date:  2011-10-27       Impact factor: 34.870

3.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

4.  Predictive value and reward in implicit classification learning.

Authors:  Judith M Lam; Tobias Wächter; Christoph Globas; Hans-Otto Karnath; Andreas R Luft
Journal:  Hum Brain Mapp       Date:  2012-03-15       Impact factor: 5.038

Review 5.  Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning.

Authors:  Gabriele Wulf; Rebecca Lewthwaite
Journal:  Psychon Bull Rev       Date:  2016-10

Review 6.  What is the role of brain mechanisms underlying arousal in recovery of motor function after structural brain injuries?

Authors:  Andrew M Goldfine; Nicholas D Schiff
Journal:  Curr Opin Neurol       Date:  2011-12       Impact factor: 5.710

7.  Nogo-A targeted therapy promotes vascular repair and functional recovery following stroke.

Authors:  Ruslan Rust; Lisa Grönnert; Christina Gantner; Alinda Enzler; Geertje Mulders; Rebecca Z Weber; Arthur Siewert; Yanuar D P Limasale; Andrea Meinhardt; Michael A Maurer; Andrea M Sartori; Anna-Sophie Hofer; Carsten Werner; Martin E Schwab
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-24       Impact factor: 11.205

Review 8.  Chronic MPTP administration regimen in monkeys: a model of dopaminergic and non-dopaminergic cell loss in Parkinson's disease.

Authors:  Gunasingh J Masilamoni; Yoland Smith
Journal:  J Neural Transm (Vienna)       Date:  2017-08-31       Impact factor: 3.575

9.  A Basal Ganglia Circuit Sufficient to Guide Birdsong Learning.

Authors:  Lei Xiao; Gaurav Chattree; Francisco Garcia Oscos; Mou Cao; Matthew J Wanat; Todd F Roberts
Journal:  Neuron       Date:  2018-03-15       Impact factor: 17.173

10.  Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex.

Authors:  Samuel A Neymotin; George L Chadderdon; Cliff C Kerr; Joseph T Francis; William W Lytton
Journal:  Neural Comput       Date:  2013-09-18       Impact factor: 2.026

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.