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Synchrony between neurons with similar muscle fields in monkey motor cortex
Andrew Jackson1, Veronica J Gee, Stuart N Baker
1Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, UCL, London WC1N 3BG, United Kingdom.
Neuron
|April 15, 2003
Summary
Synchronous firing in the motor cortex links neurons controlling the same muscles. Inhibitory connections exist between motor cortex cells with opposing effects on hand muscles, revealing network organization.
Area of Science:
- Neuroscience
- Motor Control
- Computational Neuroscience
Background:
- Motor cortex neurons exhibit post-spike effects like facilitation (PSF) and suppression (PSS) on muscle activity.
- Understanding the relationship between neural synchrony and output connectivity is crucial for deciphering motor control mechanisms.
Purpose of the Study:
- To investigate the relationship between the synchrony of motor cortex cell firing and their output connectivity to hand muscles.
- To determine if neuronal synchrony reflects direct functional connections within motor control networks.
Main Methods:
- Simultaneous recordings of 144 pairs of motor cortex neurons in macaque monkeys during a precision grip task.
- Cross-correlation histograms were used to assess neuronal synchronization.
- Spike-triggered averages of electromyography (EMG) were employed to define the muscle field of each recorded neuron.
Main Results:
- Cell pairs with overlapping muscle fields demonstrated significantly greater synchronization than those with non-overlapping fields.
- Neurons exhibiting opposing effects on the same muscles showed negative synchronization, indicating inhibitory relationships.
- Synchrony was positively correlated with shared muscle output.
Conclusions:
- Neuronal synchrony in the motor cortex is associated with direct functional connections to the same muscle sets.
- The findings suggest the presence of inhibitory connections between motor cortex neuronal populations that exert opposing influences on muscle activity.
- Synchrony analysis provides insights into the network architecture and functional organization of the motor cortex.