Literature DB >> 16597724

Neural variability in premotor cortex provides a signature of motor preparation.

Mark M Churchland1, Byron M Yu, Stephen I Ryu, Gopal Santhanam, Krishna V Shenoy.   

Abstract

We present experiments and analyses designed to test the idea that firing rates in premotor cortex become optimized during motor preparation, approaching their ideal values over time. We measured the across-trial variability of neural responses in dorsal premotor cortex of three monkeys performing a delayed-reach task. Such variability was initially high, but declined after target onset, and was maintained at a rough plateau during the delay. An additional decline was observed after the go cue. Between target onset and movement onset, variability declined by an average of 34%. This decline in variability was observed even when mean firing rate changed little. We hypothesize that this effect is related to the progress of motor preparation. In this interpretation, firing rates are initially variable across trials but are brought, over time, to their "appropriate" values, becoming consistent in the process. Consistent with this hypothesis, reaction times were longer if the go cue was presented shortly after target onset, when variability was still high, and were shorter if the go cue was presented well after target onset, when variability had fallen to its plateau. A similar effect was observed for the natural variability in reaction time: longer (shorter) reaction times tended to occur on trials in which firing rates were more (less) variable. These results reveal a remarkable degree of temporal structure in the variability of cortical neurons. The relationship with reaction time argues that the changes in variability approximately track the progress of motor preparation.

Mesh:

Year:  2006        PMID: 16597724      PMCID: PMC6674116          DOI: 10.1523/JNEUROSCI.3762-05.2006

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


  160 in total

1.  Roles of monkey premotor neuron classes in movement preparation and execution.

Authors:  Matthew T Kaufman; Mark M Churchland; Gopal Santhanam; Byron M Yu; Afsheen Afshar; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neurophysiol       Date:  2010-06-10       Impact factor: 2.714

2.  Trial-to-trial variability of the prefrontal neurons reveals the nature of their engagement in a motion discrimination task.

Authors:  Cory Hussar; Tatiana Pasternak
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-22       Impact factor: 11.205

3.  Single-trial neural correlates of arm movement preparation.

Authors:  Afsheen Afshar; Gopal Santhanam; Byron M Yu; Stephen I Ryu; Maneesh Sahani; Krishna V Shenoy
Journal:  Neuron       Date:  2011-08-11       Impact factor: 17.173

4.  A central source of movement variability.

Authors:  Mark M Churchland; Afsheen Afshar; Krishna V Shenoy
Journal:  Neuron       Date:  2006-12-21       Impact factor: 17.173

5.  Preparatory delay activity in the monkey parietal reach region predicts reach reaction times.

Authors:  Lawrence H Snyder; Anthony R Dickinson; Jeffrey L Calton
Journal:  J Neurosci       Date:  2006-10-04       Impact factor: 6.167

Review 6.  Techniques for extracting single-trial activity patterns from large-scale neural recordings.

Authors:  Mark M Churchland; Byron M Yu; Maneesh Sahani; Krishna V Shenoy
Journal:  Curr Opin Neurobiol       Date:  2007-10       Impact factor: 6.627

7.  Preparing for a motor perturbation: early implication of primary motor and somatosensory cortices.

Authors:  Jozina B de Graaf; Alexey Frolov; Michel Fiocchi; Bruno Nazarian; Jean-Luc Anton; Jean Pailhous; Mireille Bonnard
Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

8.  Selection and maintenance of spatial information by frontal eye field neurons.

Authors:  Katherine M Armstrong; Mindy H Chang; Tirin Moore
Journal:  J Neurosci       Date:  2009-12-16       Impact factor: 6.167

9.  Neural dynamics of reaching following incorrect or absent motor preparation.

Authors:  K Cora Ames; Stephen I Ryu; Krishna V Shenoy
Journal:  Neuron       Date:  2014-01-22       Impact factor: 17.173

10.  Beyond Poisson: increased spike-time regularity across primate parietal cortex.

Authors:  Gaby Maimon; John A Assad
Journal:  Neuron       Date:  2009-05-14       Impact factor: 17.173

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