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J Neurophysiol (July 23, 2008). doi:10.1152/jn.90416.2008
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Submitted on March 28, 2008
Revised on July 14, 2008
Accepted on July 16, 2008

Reconfiguration of the Pontomedullary Respiratory Network: A Computational Modeling Study with Coordinated in Vivo Experiments

Ilya A Rybak1, R. O'Connor2, A. Ross2, N. A. Shevtsova1, Sarah C. Nuding2, Lauren S Segers2, Roger Shannon2, Thomas E Dick3, Witali L Dunin-Barkowski4, John M Orem5, Irene C. Solomon6, Kendall F Morris2, and Bruce G. Lindsey7*

1 Drexel University College of Medicine
2 USF College of Medicine
3 Case Western Reserve Univ.
4 Texas Tech University Health Sciences Center
5 Texas Tech University, School of Medicine
6 SUNY at Stony Brook
7 University of South Florida

* To whom correspondence should be addressed. E-mail: blindsey{at}health.usf.edu.

A large body of data suggests that the pontine respiratory group (PRG) is involved in respiratory phase-switching and the reconfiguration of the brainstem respiratory network. However, connectivity between the PRG and ventral respiratory column (VRC) in computational models has been largely ad hoc. We developed a network model with PRG-VRC connectivity inferred from coordinated in vivo experiments. Neurons were modeled in the "integrate-and-fire" style (MacGregor 1987); some neurons had pacemaker properties derived from the model of Breen et al. (2003). We recapitulated earlier modeling results, including reproduction of activity profiles of different respiratory neurons and motor outputs, and their changes under different conditions (vagotomy, pontine lesions, etc.). The model also reproduced characteristic changes in neuronal and motor patterns observed in vivo during fictive cough and during hypoxia in NREM sleep. Our simulations suggested possible mechanisms for respiratory pattern reorganization during these behaviors. The model predicted that network- and pacemaker-generated rhythms could be co-expressed during the transition from gasping to eupnea, producing a combined "burst-ramp" pattern of phrenic discharges. To test this prediction, phrenic activity and multiple single neuron spike trains were monitored in vagotomized, decerebrate, immobilized, thoracotomized, and artificially ventilated cats during hypoxia and recovery. In most experiments, phrenic discharge patterns during recovery from hypoxia were similar to those predicted by the model. We conclude that under certain conditions, e.g. during recovery from severe brain hypoxia, components of a distributed network activity present during eupnea can be co-expressed with gasp patterns generated by a distinct, functionally "simplified" mechanism.




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