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Electrophysiology on Isolated Brainstem-spinal Cord Preparations from Newborn Rodents Allows Neural Respiratory Network Output Recording
Published on: November 19, 2015
Functional Interactions between Mammalian Respiratory Rhythmogenic and Premotor Circuitry
Hanbing Song1, John A Hayes1, Nikolas C Vann1
1Departments of Applied Science and.
Mammalian breathing relies on Dbx1 neurons in the preBötzinger complex (preBötC) and premotor networks. A "small-world" network model accurately replicates laser ablation experiments, revealing circuit configurations for respiratory rhythm generation.
Area of Science:
- Neuroscience
- Computational Biology
- Respiratory Physiology
Background:
- Breathing control in mammals originates from the preBötzinger complex (preBötC) and associated premotor networks.
- Dbx1-expressing neurons (Dbx1 neurons) are crucial components of both the preBötC rhythm generator and premotor circuits.
- The precise structure and function of these Dbx1-derived neural networks remain incompletely understood.
Purpose of the Study:
- To investigate the structural and functional organization of respiratory rhythm and pattern-generating circuits.
- To identify network configurations that can replicate experimental findings from cell-specific laser ablation studies.
- To propose a feasible model for Dbx1-derived interneuron circuits involved in mammalian breathing.
Main Methods:
- Utilized a slice model of breathing incorporating the preBötC, hypoglossal (XII) motor nucleus, and XII premotor circuits.
- Employed a cell-specific laser ablation system to selectively remove Dbx1 neurons in the preBötC and premotor regions.
- Developed and coupled a computational model of the preBötC with premotor network configurations for in silico simulations.
Main Results:
- Cumulative ablation of Dbx1 preBötC neurons significantly reduced and eventually terminated XII motor output and respiratory rhythm.
- Ablation of Dbx1 premotor neurons decreased motor output but did not affect respiratory frequency or rhythm termination.
- A computational model accurately replicated experimental results when the premotor network was configured as a 'small-world' network with balanced synaptic input.
Conclusions:
- The 'small-world' network topology, with balanced synaptic input from the preBötC, provides a viable model for respiratory premotor circuits.
- This study offers a framework for understanding the fundamental structure and function of mammalian respiratory rhythm and pattern generators.
- The findings generate experimentally testable predictions regarding the organization of Dbx1-derived neural circuits in the brainstem.
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