Literature DB >> 12686573

Synchronization in monkey motor cortex during a precision grip task. II. effect of oscillatory activity on corticospinal output.

Stuart N Baker1, Elizabeth M Pinches, Roger N Lemon.   

Abstract

Recordings from primary motor cortex (M1) during periods of steady contraction show oscillatory activity; these oscillations are coherent with the activity of contralateral muscles. We investigated synchronization of corticospinal output neurons with the oscillations, which could provide the pathway for their transmission to the spinal motoneurons. One hundred seventy-six antidromically identified pyramidal tract neurons (PTNs) were recorded from M1 in three macaque monkeys trained to perform a precision grip task. Local field potentials (LFP) were simultaneously recorded. All analysis was confined to the hold period of the task, where our previous work has shown that there is the strongest oscillatory activity. Coherence was calculated between LFP and PTN discharge. Significant coherence was seen in three bands, with frequencies of 10-14, 17-31, and 34-44 Hz. Coherence values were low, with the majority of PTN-LFP coherences having a peak lower than 0.05. The phase of coherence was approximately -pi/2 radians for each band (with LFP polarity defined as negative upward), although there was some dispersion of phase across the population of PTNs. Coherence was also calculated between pairs of PTNs that had been simultaneously recorded. Where there was significant coherence, it was also generally smaller than 0.05. The phase of PTN-PTN coherence clustered around zero radians. A computer model was constructed to assist the interpretation of the experimental results. It simulated an integrate-and-fire neuron responding to synaptic inputs. A fraction of the synaptic inputs was synchronized with a simulated LFP; the remainder were uncorrelated with it. The model showed that coherence between the LFP and the output spike train considerably underestimated the fraction of synchronized inputs. Additionally, for a given fraction of synchronized inputs, coherence was smaller for high- compared with low-frequency bins. Cell discharge rate also influenced the spike-LFP coherence: coherence was higher for simulations in which the cell discharged at a faster rate. Thus although levels of PTN-LFP coherence seen experimentally were low, a considerable proportion of the input to the PTN must be synchronized with the global oscillatory activity recorded by the LFP. The low LFP-PTN coherences do however indicate that cortical oscillations are transmitted with only low fidelity in the discharge of a single PTN. Using further computer simulations, it was demonstrated that a small population of PTNs could encode the cortical oscillatory signal effectively, since the action of averaging across the population improves the signal:noise ratio. The oscillations will therefore be effectively transmitted to spinal motoneurons, and this has important consequences for the possible role of oscillations in motor control of the hand.

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Year:  2003        PMID: 12686573     DOI: 10.1152/jn.00832.2002

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


  75 in total

1.  Spinal interneuron circuits reduce approximately 10-Hz movement discontinuities by phase cancellation.

Authors:  Elizabeth R Williams; Demetris S Soteropoulos; Stuart N Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-01       Impact factor: 11.205

2.  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

3.  Relationships between spike-free local field potentials and spike timing in human temporal cortex.

Authors:  Stavros Zanos; Theodoros P Zanos; Vasilis Z Marmarelis; George A Ojemann; Eberhard E Fetz
Journal:  J Neurophysiol       Date:  2011-12-07       Impact factor: 2.714

4.  Techniques and applications of EMG: measuring motor units from structure to function.

Authors:  Rachel C Thornton; Andrew W Michell
Journal:  J Neurol       Date:  2012-01-25       Impact factor: 4.849

Review 5.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

Review 6.  Restoration of locomotive function in Parkinson's disease by spinal cord stimulation: mechanistic approach.

Authors:  Romulo Fuentes; Per Petersson; Miguel A L Nicolelis
Journal:  Eur J Neurosci       Date:  2010-10       Impact factor: 3.386

7.  Finger movements during reach-to-grasp in the monkey: amplitude scaling of a temporal synergy.

Authors:  Lalin S Theverapperuma; Claudia M Hendrix; Carolyn R Mason; Timothy J Ebner
Journal:  Exp Brain Res       Date:  2005-11-16       Impact factor: 1.972

8.  Manipulation of peripheral neural feedback loops alters human corticomuscular coherence.

Authors:  C Nicholas Riddle; Stuart N Baker
Journal:  J Physiol       Date:  2005-05-26       Impact factor: 5.182

9.  Direct comparison of the task-dependent discharge of M1 in hand space and muscle space.

Authors:  M M Morrow; L R Jordan; L E Miller
Journal:  J Neurophysiol       Date:  2006-11-22       Impact factor: 2.714

10.  Effect of training status on beta-range corticomuscular coherence in agonist vs. antagonist muscles during isometric knee contractions.

Authors:  Fabien Dal Maso; Marieke Longcamp; Sylvain Cremoux; David Amarantini
Journal:  Exp Brain Res       Date:  2017-07-19       Impact factor: 1.972

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