Literature DB >> 11160519

Synchronization in monkey motor cortex during a precision grip task. I. Task-dependent modulation in single-unit synchrony.

S N Baker1, R Spinks, A Jackson, R N Lemon.   

Abstract

Neural synchronization in the cortex, and its potential role in information coding, has attracted much recent attention. In this study, we have recorded long spike trains (mean, 33,000 spikes) simultaneously from multiple single neurons in the primary motor cortex (M1) of two conscious macaque monkeys performing a precision grip task. The task required the monkey to use its index finger and thumb to move two spring-loaded levers into a target, hold them there for 1 s, and release for a food reward. Synchrony was analyzed using a time-resolved cross-correlation method, normalized using an estimate of the instantaneous firing rate of the cell. This was shown to be more reliable than methods using trial-averaged firing rate. A total of 375 neurons was recorded from the M1 hand area; 235 were identified as pyramidal tract neurons. Synchrony was weak [mean k' = 1.05 +/- 0.04 (SD)] but widespread among pairs of M1 neurons (218/1359 pairs with above-chance synchrony), including output neurons. Synchrony usually took the form of a broad central peak [average width, 18.7 +/- 8.7 (SD) ms]. There were marked changes during different phases of the task. As a population, synchrony was greatest during the steady hold period in striking contrast to the averaged cell firing rate, which was maximal when the animal was moving the levers into target. However, the modulation of synchrony during task performance showed considerable variation across individual cell pairs. Two types of synchrony were identified: oscillatory (with periodic side lobes in the cross-correlation) and nonoscillatory. Their relative contributions were quantified by filtering the cross-correlations to exclude either frequencies from 18 to 37 Hz or all higher and lower frequencies. At the peak of population synchrony during the hold period, about half (51.7% in one monkey, 56.2% in the other) of the synchronization was within this oscillatory bandwidth. This study provides strong support for assemblies of neurons being synchronized during specific phases of a complex task with potentially important consequences for both information processing within M1 and for the impact of M1 commands on target motoneurons.

Mesh:

Year:  2001        PMID: 11160519     DOI: 10.1152/jn.2001.85.2.869

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  67 in total

1.  A novel algorithm to remove electrical cross-talk between surface EMG recordings and its application to the measurement of short-term synchronisation in humans.

Authors:  J M Kilner; S N Baker; R N Lemon
Journal:  J Physiol       Date:  2002-02-01       Impact factor: 5.182

2.  Firing properties of spinal interneurons during voluntary movement. II. Interactions between spinal neurons.

Authors:  Yifat Prut; Steve I Perlmutter
Journal:  J Neurosci       Date:  2003-10-22       Impact factor: 6.167

3.  Firing properties of spinal interneurons during voluntary movement. I. State-dependent regularity of firing.

Authors:  Yifat Prut; Steve I Perlmutter
Journal:  J Neurosci       Date:  2003-10-22       Impact factor: 6.167

4.  Modulation of synchrony between single motor units during precision grip tasks in humans.

Authors:  J M Kilner; M Alonso-Alonso; R Fisher; R N Lemon
Journal:  J Physiol       Date:  2002-06-15       Impact factor: 5.182

5.  Rhythm generation in monkey motor cortex explored using pyramidal tract stimulation.

Authors:  A Jackson; R L Spinks; T C B Freeman; D M Wolpert; R N Lemon
Journal:  J Physiol       Date:  2002-06-15       Impact factor: 5.182

6.  Training and synchrony in the motor system.

Authors:  Marc H Schieber
Journal:  J Neurosci       Date:  2002-07-01       Impact factor: 6.167

7.  Post-spike distance-to-threshold trajectories of neurones in monkey motor cortex.

Authors:  Daniel Z Wetmore; Stuart N Baker
Journal:  J Physiol       Date:  2004-01-14       Impact factor: 5.182

8.  EEG oscillations at 600 Hz are macroscopic markers for cortical spike bursts.

Authors:  Stuart N Baker; Gabriel Curio; Roger N Lemon
Journal:  J Physiol       Date:  2003-06-13       Impact factor: 5.182

Review 9.  The temporal resolution of neural codes: does response latency have a unique role?

Authors:  M W Oram; D Xiao; B Dritschel; K R Payne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

10.  Modeling task-specific neuronal ensembles improves decoding of grasp.

Authors:  Ryan J Smith; Alcimar B Soares; Adam G Rouse; Marc H Schieber; Nitish V Thakor
Journal:  J Neural Eng       Date:  2018-02-02       Impact factor: 5.379

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