Literature DB >> 19812340

Long-term modifications in motor cortical dynamics induced by intensive practice.

Bjørg E Kilavik1, Sébastien Roux, Adrián Ponce-Alvarez, Joachim Confais, Sonja Grün, Alexa Riehle.   

Abstract

The planning of goal-directed movements requires sensory, temporal, and contextual information to be combined. Sensorimotor functions are embedded in large neuronal networks, but it is unclear how networks organize their activity in space and time to optimize behavior. Temporal coordination of activity in many neurons within a network, e.g., spike synchrony, might be complementary to a firing rate code, allowing efficient computation with overall less population activity. Here we asked the question whether intensive practice induces long-term modifications in the temporal structure of synchrony and firing rate at the population level. Three monkeys were trained in a delayed pointing task in which the selection of movement direction depended on correct time estimation. The synchronous firing among pairs of simultaneously recorded neurons in motor cortex was analyzed using the "unitary event" technique. The evolution of synchrony in both time, within the trial, and temporal precision was then quantified at the level of an entire population of neurons by using two different quantification techniques and compared with the population firing rate. We find that the task timing was represented in the temporal structure of significant spike synchronization at the population level. During practice, the temporal structure of synchrony was shaped, with synchrony becoming stronger and more localized in time during late experimental sessions, in parallel with an improvement in behavioral performance. Concurrently, the average population firing rate mainly decreased. Performance optimization through practice might therefore be achieved by boosting the computational contribution of spike synchrony, allowing an overall reduction in population activity.

Entities:  

Mesh:

Year:  2009        PMID: 19812340      PMCID: PMC6665105          DOI: 10.1523/JNEUROSCI.1554-09.2009

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


  28 in total

1.  Differential involvement of excitatory and inhibitory neurons of cat motor cortex in coincident spike activity related to behavioral context.

Authors:  David Putrino; Emery N Brown; Frank L Mastaglia; Soumya Ghosh
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

2.  Evoked potentials in motor cortical local field potentials reflect task timing and behavioral performance.

Authors:  Bjørg Elisabeth Kilavik; Joachim Confais; Adrián Ponce-Alvarez; Markus Diesmann; Alexa Riehle
Journal:  J Neurophysiol       Date:  2010-09-08       Impact factor: 2.714

3.  Estimating the contribution of assembly activity to cortical dynamics from spike and population measures.

Authors:  Michael Denker; Alexa Riehle; Markus Diesmann; Sonja Grün
Journal:  J Comput Neurosci       Date:  2010-05-18       Impact factor: 1.621

4.  Computer simulations of synchrony and oscillations evoked by two coherent inputs.

Authors:  Osamu Araki
Journal:  Cogn Neurodyn       Date:  2012-11-30       Impact factor: 5.082

5.  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

6.  Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task.

Authors:  Emiliano Torre; Pietro Quaglio; Michael Denker; Thomas Brochier; Alexa Riehle; Sonja Grün
Journal:  J Neurosci       Date:  2016-08-10       Impact factor: 6.167

7.  High-capacity embedding of synfire chains in a cortical network model.

Authors:  Chris Trengove; Cees van Leeuwen; Markus Diesmann
Journal:  J Comput Neurosci       Date:  2012-08-11       Impact factor: 1.621

8.  Surrogate spike train generation through dithering in operational time.

Authors:  Sebastien Louis; George L Gerstein; Sonja Grün; Markus Diesmann
Journal:  Front Comput Neurosci       Date:  2010-09-22       Impact factor: 2.380

9.  Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations.

Authors:  Sacha Jennifer van Albada; Moritz Helias; Markus Diesmann
Journal:  PLoS Comput Biol       Date:  2015-09-01       Impact factor: 4.475

10.  The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.

Authors:  Matthieu Gilson; David Dahmen; Rubén Moreno-Bote; Andrea Insabato; Moritz Helias
Journal:  PLoS Comput Biol       Date:  2020-10-12       Impact factor: 4.475

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