Nathan Andrew Baertsch

The paper maps excitatory and inhibitory neural inputs to the preBotzinger Complex in mice, revealing its role as a hub for integrating multimodal breathing control signals.

This study uses a computational model of the preBotC network to show that variability in network topology and neuronal properties influences opioid-induced respiratory depression and recovery.

The paper uses computational modeling to show that intrinsic bursting and pre-inspiratory spiking can be dissociated from the persistent sodium current in respiratory rhythm generation, supporting a unifying hypothesis involving both cellular and network properties.

This study identifies two mechanisms by which opioid activation disrupts inspiratory rhythm generation in the preBotC, leading to respiratory depression.

The paper investigates how parabrachial CGRP neurons control unconditioned responses and associative fear learning through distinct neural projections.

The paper investigates how substance P modulates breathing dynamics in the mouse preBötzinger complex by enhancing recurrent excitation between breaths, revealing a framework for dynamic control of breathing.