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Ganglionic neuronal mechanisms involved in circulatory control system
V Skok1, A Ivanov, L Tatarchenko
1Department of Autonomic Nervous System Physiology, Bogomoletz Institute of Physiology, Kiev, Ukraine.
Acta Neurobiologiae Experimentalis
|January 1, 1996
Summary
Rabbit superior cervical ganglion neurons exhibit complex integration of presynaptic inputs. Synchronous firing involves fewer inputs than previously assumed, suggesting intricate vasomotor control mechanisms.
Area of Science:
- Neuroscience
- Autonomic Nervous System Research
- Mammalian Physiology
Background:
- The superior cervical ganglion (SCG) plays a crucial role in autonomic nervous system functions, particularly vasomotor control.
- Understanding the integrative properties of SCG neurons is essential for deciphering complex physiological regulation.
Purpose of the Study:
- To investigate the intracellular tonic activity and responses to orthodromic stimuli in rabbit SCG neurons.
- To compare neuronal activity in the ganglion with that of pre- and postganglionic nerve fibers.
- To elucidate the complexity of ganglionic integrative processes in vasomotor control.
Main Methods:
- Utilized a coherent recording technique to record intracellular activity from rabbit SCG neurons.
- Recorded activity from nerves containing pre- and postganglionic nerve fibers for comparison.
- Analyzed neuronal firing patterns, presynaptic input types, and synchronous activity.
Main Results:
- Ganglion neuron firing is triggered by single or multiple presynaptic inputs from preganglionic nerve fibers.
- Synchronous firing of approximately 240 SCG neurons is driven by an average of three preganglionic nerve fibers.
- A small percentage (9%) of neural units fire via a single input; most utilize multiple inputs (17%) or generate subthreshold potentials (73%).
Conclusions:
- Ganglionic integration in the SCG is more complex than previously believed.
- The findings suggest sophisticated neuronal mechanisms underlying vasomotor control.
- The study highlights the importance of convergent inputs and subthreshold potentials in SCG function.