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Version 1. F1000Res. 2017; 6: 139.
Published online 2017 February 14. doi:  10.12688/f1000research.10193.1
PMCID: PMC5310385

Respiratory rhythm generation: triple oscillator hypothesis

Abstract

Breathing is vital for survival but also interesting from the perspective of rhythm generation. This rhythmic behavior is generated within the brainstem and is thought to emerge through the interaction between independent oscillatory neuronal networks. In mammals, breathing is composed of three phases – inspiration, post-inspiration, and active expiration – and this article discusses the concept that each phase is generated by anatomically distinct rhythm-generating networks: the preBötzinger complex (preBötC), the post-inspiratory complex (PiCo), and the lateral parafacial nucleus (pF L), respectively. The preBötC was first discovered 25 years ago and was shown to be both necessary and sufficient for the generation of inspiration. More recently, networks have been described that are responsible for post-inspiration and active expiration. Here, we attempt to collate the current knowledge and hypotheses regarding how respiratory rhythms are generated, the role that inhibition plays, and the interactions between the medullary networks. Our considerations may have implications for rhythm generation in general.

Keywords: Respiration, breathing, rhythm generation, networks, pacemaker, preBotzinger complex, Oscillators, Postinspiration

Introduction

Rhythms and oscillations function at the core of many brain processes 1, 2. For example, rhythmic spinal circuits control locomotor gait 3, 4, thalamic oscillations detect attentional state 5, 6, cerebellar rhythms are important for motor coordination 7, 8, and circadian rhythms entrain our biological clocks to a 24-hour cycle 9, 10. Compared to these circuits, respiratory neural networks in the brainstem offer a uniquely advantageous system in which to study rhythm generation because of (1) the known anatomical location of respiratory rhythm generators 1115 and (2) the ability to reduce the breathing network into various levels in preparations that retain robust and autonomous rhythmic output 11, 1518. As a result, the control of respiration can be studied from the molecular to the systems level. Mammalian respiration consists of three phases: inspiration, post-inspiration, and active expiration 19, 20. The networks that collectively generate the three respiratory phases are distributed bilaterally in the ventral respiratory column (VRC) of the brainstem 2123.

Within the VRC, the first described respiratory neural network, the preBötzinger complex (preBötC), is both necessary and sufficient for the generation of inspiration 11, 2427. The preBötC can singularly reconfigure to produce the inspiratory phase of eupnea (normal breathing), gasps, and sighs 28. The respiratory rhythm generated within the preBötC is dependent on excitatory mechanisms, and the location of the network within the ventrolateral medulla has been identified in rodents 11, 29, cats 26, and humans 30. Rhythm-generating, glutamatergic, and bilaterally interconnected preBötC interneurons are derived from progenitors that express the homeobox gene Dbx1 25, 31. The preBötC can be isolated in an in vitro transverse slice that retains fictive inspiratory bursts in phase with inspiratory hypoglossal motor output 11. The transverse slice is amenable to rigorous electrophysiological, histochemical, and optogenetic manipulation. Recently, two distinct rhythm generators have been described that are hypothesized to control the other two phases of respiration: the post-inspiratory complex (PiCo) for the control of post-inspiration, and the lateral parafacial nucleus (pF L), a subpopulation within the retrotrapezoid nucleus parafacial respiratory group (RTN/pFRG), for the control of active expiration ( Figure 1). In addition to the previously mentioned transverse in vitro slice 12, 32, 33, en-bloc brainstem-spinal cord 31, 34, 35, in situ 36, sagittal slab 17, 37, and, most recently, horizontal slice 15 preparations offer further accessibility and tractability to begin to unravel how the three phases of breathing are generated and interconnected.

Figure 1.
Anatomical map of oscillators in the ventral respiratory column.

Mammalian respiratory rhythmogenesis

Decades of research have revolved around the endeavor to unmask the underlying processes controlling inspiratory rhythm generation 11, 28, 38. Indeed, a long-standing question in the respiratory control field queries how rhythmic, inspiratory activity in the brainstem emerges from the interaction between intrinsic cellular properties and circuit-based synaptic properties. Amid many theories, the answer remains unresolved, but it is likely that multiple rhythmogenic mechanisms exist within the functionally and molecularly heterogeneous preBötC population, and these mechanisms may vary depending on the metabolic, behavioral, and environmental conditions of the organism 39.

Frequently, models of neural rhythmogenesis include autonomously bursting neurons (pacemakers, or endogenous bursters) as contributors to rhythmogenesis 4043. Endogenous bursting neurons have been described in numerous rhythm-generating networks and the respiratory network is not an exception 43, 44. Approximately 20% of preBötC neurons can be classified as pacemakers, as defined by their tendency to burst in the absence of synaptic input at a period and burst duration similar to the duty cycle of the in vitro respiratory rhythm 38, 4547. Pacemaker neurons in the preBötC can be either glutamatergic 38, 46 or glycinergic 48. The “pacemaker hypothesis”, in its strictest interpretation, is the idea that excitatory pacemaker cells play an obligatory role in driving the inspiratory rhythm. It is supported by studies in which antagonists of the persistent sodium current (I NaP; riluzole) and the calcium-activated nonspecific cationic current (I CAN; flufenamic acid [FFA]), the two mechanisms underlying bursting in preBötC neurons, block fictive inspiration in vitro 49 and inspiration in vivo 50. Moreover, regions such as the preBötC and the RTN/pFRG, that are known to have rhythmogenic functions, are rich in endogenous bursters 37. The exact role of endogenously bursting neurons in respiratory rhythm generation is still a matter of debate 38, 40, 4345, 47, 51, 52. However, it is generally agreed that these bursting neurons do not act as simple “pacemakers” that drive the rhythm. Instead, these neurons are well integrated within the respiratory network, and synaptic and other ionic mechanisms contribute to their timing and discharge properties 39, 40, 53, 54.

Although cellular properties have been identified that differentiate pacemaker from non-pacemaker neurons 55, 56, we shouldn’t think of these in a binary manner. Instead, bursting and non-bursting lie on a continuum of firing characteristics from weak tonic firing to strong bursting 53, consistent with the hypothesis that preBötC neurons exhibit a continuous distribution of membrane conductances 5759. For example, I CAN and I NaP currents are not exclusive to endogenous burster neurons but are present on many, if not the entire population of, preBötC inspiratory neurons in vitro 45, 46, 59, 60. The “group pacemaker” theory posits that activity of tonically firing, glutamatergic preBötC neurons can percolate and increase in activity by means of positive feedback 47, 61. The pre-inspiratory phase occurs when the positive feedback has surpassed other network constituents and recurrent excitation leads to the initiation of a synchronized inspiratory burst 62.

This idea was further tested by using in vitro physiological data and modeling techniques to hypothesize that each individual population burst is driven by a dynamic, stochastic, and flexible assembly of preBötC neurons within a sparsely connected network 63. Insights into the physiology of the sparsely connected network can be performed by multi-array recordings 64. Using this technique, Carroll et al. estimated a 1% functional connectivity between preBötC neurons 63, a figure much lower than another study that estimated a 13% probability of one-way excitatory connectivity from dual whole-cell patch recordings of visualized, closely located preBötC neurons 65. Reasons for the order of magnitude discrepancy in connectivity estimates have yet to be reconciled other than obvious differences in approach and preparation.

Rhythm generation and pattern generation have been suggested to be separable phenomena 6668. Rhythm generation refers to the generation of timing signals; however, the control of the timing and coordination of muscle activity is referred to as pattern generation 66, 69, 70. Intracellular burst activity and motor outputs can exhibit a variety of shapes such as decrementing, augmenting, or bell-shaped 16, 71. Under conventional perfusion conditions in vitro, preBötC bursts follow a 1:1 ratio with hypoglossal motor output 16. However, when excitability is lowered with decreased concentrations of extracellular potassium, burst frequency decreases 27, 72. When a burst is expected, Feldman and colleagues instead observe “burstlets” that are small in amplitude and do not produce a motor output signal. Burstlets appear at multiples of the shortest interburst interval (i.e. are quantized) and can also be observed under specific conditions in vivo 66. The authors hypothesize that these burstlets represent pre-inspiratory activity that triggers inspiratory bursts when a certain, undefined threshold is reached.

In addition to the preBötC, two other respiratory microcircuits have been identified that function as independent oscillators controlling the other two phases of breathing: post-inspiration and active expiration 14, 15, 73. Under physiological conditions, expiration is a passive process and mammals largely alternate their breathing between inspiration and post-inspiration 74. Located rostral to the preBötC and dorsomedial to the nucleus ambiguus, the PiCo was recently identified as the putative site for the generation of post-inspiratory activity 15. Similar to the preBötC, PiCo rhythms are also dependent on non-NMDA, excitatory mechanisms 15. Thus, it is likely that the two populations employ similar rhythm-generating mechanisms. Interestingly, one study completed in goats showed that the gradual ablation of the preBötC over the course of two weeks does not result in breathing abnormalities, at least in this species, suggesting that plasticity mechanisms are able to compensate if time is allowed for brainstem networks to reconfigure 75. Perhaps PiCo neurons are logical candidates for assuming the preBötC’s role?

During periods of higher metabolic activity, for example during exercise, a third phase of breathing is recruited during late expiration, called active expiration, that is required to breathe air out more forcibly than under rest conditions. The active expiratory rhythm reportedly originates in the pF L 13, 14. This area is defined as a conditional but independent oscillator owing to the observation that it is active only under certain conditions 73 but can generate rhythmic motor output from facial motor roots in the presence of an opioid agonist, DAMGO 76. Similar to the preBötC and PiCo, the pF L is dependent on excitatory mechanisms 35, 77. Further studies are required to fully elucidate the rhythmogenic mechanisms of these three excitatory oscillatory networks.

Role of inhibition

While it is generally accepted that the preBötC can burst autonomously in vitro, even when inhibition is blocked pharmacologically 11, the role of inhibition within the intact respiratory network is still debated. Originally, it was proposed that inspiration and expiration were generated by “half-centered oscillators” in which one population of neurons reciprocally inhibits the other population to generate an alternating two-phase breathing rhythm 78. However, these hypotheses have not been rigorously tested by specifically manipulating identified populations of neurons.

A population termed the Bötzinger complex (BötC) was discovered to contain primarily inhibitory neurons including post-inspiratory and augmenting expiratory neurons 7981. Additionally, approximately 50% of the neurons that make up the preBötC are inhibitory, mostly glycinergic, interneurons 82. A contemporary model posits an “inhibitory connectome” or “inhibitory ring” hypothesis in which reciprocal inhibition between the preBötC and other brainstem circuits, such as the BötC, produce the three phases of breathing 83, 84. The theory states that glycinergic inhibition resets the activity of inspiratory, post-inspiratory, and expiratory neurons in the ventral respiratory network 84. These interpretations are derived mainly from intracellular recordings in vivo or in situ paired with computational modeling (for reviews see 18, 79, 84, 85).

However, some aspects of this theory have been considered controversial. The inhibitory ring model would predict that blocking inhibition in the preBötC or the BötC would result in apnea, or cessation of breathing. When Feldman and colleagues tested this by pharmacologically injecting glycinergic and GABA A receptor antagonists into the preBötC and BötC in vagotomized rats, they observed little to no effect on the breathing rhythm 86. They concluded that inhibition is not obligatory for rhythm generation but instead contributes to shaping the pattern of the rhythmic output. Of note, however, the injection of somatostatin, an inhibitory neuropeptide, into the BötC region resulted in the specific elimination of post-inspiratory vagal motor output 87.

These experiments were done under the assumption that the BötC was responsible for the generation of post-inspiration. However, as briefly mentioned above, it was recently discovered that the PiCo provides a necessary excitatory drive for the generation of post-inspiratory activity 15. The novel horizontal slice, described by Anderson et al., keeps the entire medullary VRC intact, and thus, using this preparation, one can simultaneously record fictive inspiratory bursts (from the preBötC) that are immediately followed by fictive post-inspiratory bursts (from the PiCo) 15 ( Figure 1). The PiCo rhythm persists in the absence of inhibition when the network is isolated in a transverse in vitro slice immediately rostral to the conventional transverse preBötC slice 15, 88 ( Figure 1). This is similar to the persistence of the preBötC rhythm in the absence of synaptic inhibition in vitro 8991. Similar to the in vivo experiment by Burke et al. 87, the PiCo rhythm was specifically abolished upon the application of somatostatin, with little to no change in the preBötC rhythm. Further experiments are necessary to fully elucidate the role of inhibition between respiratory rhythms in vivo.

Interactions between oscillators

To truly understand how respiration is generated, it is imperative to ascertain the interactions between the different rhythm generators. While this work is far from complete, some progress has been made studying the interactions between the preBötC and the pF L as well as interactions between the preBötC and the PiCo.

At embryonic day 14.5 (E14.5), before the preBötC is active, the pF L is rhythmic 35. A day later, at E15.5, the preBötC begins to oscillate and rhythmically couples to the pF L. In postnatal rats, glutamatergic pF L neurons provide excitatory drive to the preBötC, while the preBötC, in turn, provides inhibitory and excitatory influences on different subsets of pF L neurons 92, 93. In the in vivo adult rat, the preBötC can generate an inspiratory rhythm in the absence of pF L active expiratory activity 14, 94. However, in the converse situation, in order for the pF L to be active, a second low level of activity is simultaneously required: either activity from the preBötC or increased chemosensory drive 94. Thus, the pF L drives active expiration, but another source of excitation is required for the network to be rhythmically active.

Neurons in the pF L are excitatory 35, 76 and do not express inhibitory biomarkers 95, 96. Therefore, any inhibitory action associated with pF L activity must be occurring through an intermediate relay of neurons, perhaps from the preBötC 48. Even excitatory projections from the preBötC to the pF L appear to be indirect and require an intermediate relay. Neurons in the preBötC send projections rostrally to an area adjacent to the pF L, the ventral parafacial nucleus, or pF V 97, which has been shown to provide drive to expiration 14, 98, and could be functioning as the intermediate relay 94. While the preBötC and pF L are anatomically distinct and functionally separate oscillators, the preBötC appears to be dominant, while pF L activity is conditional and absent at rest.

In contrast, inspiration and post-inspiration are active at rest 74, suggesting that this activity may reflect the interaction between anatomically and functionally distinct oscillators, preBötC and PiCo 15. Horizontal slice population recordings of the preBötC and PiCo progressively synchronize when a GABA A receptor antagonist is applied to the slice. This observation suggests that GABAergic connections between the preBötC and PiCo help to coordinate the timing and phasing of the respiratory rhythms.

Light stimulation of channelrhodopsin-expressing Dbx1 neurons in the preBötC simultaneously evokes inspiratory population activity in the contralateral preBötC and hyperpolarizes a post-inspiratory PiCo neuron 15. However, when this experiment is repeated in the absence of inhibition, light stimulation now both activates an inspiratory population burst and depolarizes the PiCo neuron. Taken together, these results suggest that, under baseline conditions, the preBötC imparts an inhibitory influence on PiCo. However, when inhibition is blocked, it unmasks a concurrent excitatory influence of preBötC onto PiCo.

This work lays the foundation for beginning to understand the dynamic interplay between the three independent rhythm generators. In particular, further studies are needed that probe the interactions between the pF L and PiCo.

Conclusion

Reduced preparations that isolate respiratory microcircuits have led to a tremendous understanding of respiratory rhythm generation. Yet, with the availability of ever-more-advanced techniques such as computational modeling, access to transgenic animals, and the possibility of working in intact, alert animals, we will further progress in the unraveling of complex mechanisms.

One of the most established theories for the generation of respiratory rhythms is the dual oscillator hypothesis, which posits that inspiration and expiration are generated by alternating activity between preBötC and RTN/pFRG oscillators and post-inspiration is merely a motor subcomponent of expiration 62, 73. We propose a triple oscillator hypothesis or that the three phases of breathing in mammals – inspiration, post-inspiration, and active expiration – are generated by anatomically distinct excitatory rhythm generators: the preBötC, PiCo, and the pF L, respectively ( Figure 2). It is interesting to note that three rhythm-generating networks have been hypothesized in the bullfrog 2, 99.

Figure 2.
Illustration of triple-oscillator hypothesis.

Many questions remain, however. Is there a hierarchical relationship between the three oscillators, i.e. is the preBötC the “mother of all respiratory rhythms”? Similar to the reconfiguration of the preBötC network in the generation of eupnea, gasps, and sighs, does the PiCo reconfigure to help generate post-inspiratory behaviors such as vocalization, swallowing, breath-holding, and coughing? Are the preBötC and/or PiCo networks impaired when patients with neurodegenerative disorders fail to coordinate breathing and swallowing and subsequently develop aspiration pneumonia 100103? Do homologous networks for PiCo and pF L exist in humans? While substantial work remains to be accomplished, we hope that core concepts garnered from the study of the control of respiration could lead to the discovery of mechanisms that universally underlie other oscillatory networks and, ultimately, to therapies for patients with centrally derived respiratory disorders.

Notes

[version 1; referees: 3 approved]

Funding Statement

The author(s) declared that no grants were involved in supporting this work.

Notes

Editorial Note on the Review Process

F1000 Faculty Reviews are commissioned from members of the prestigious F1000 Faculty and are edited as a service to readers. In order to make these reviews as comprehensive and accessible as possible, the referees provide input before publication and only the final, revised version is published. The referees who approved the final version are listed with their names and affiliations but without their reports on earlier versions (any comments will already have been addressed in the published version).

The referees who approved this article are:

  • Richard Wilson, Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute, Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
    No competing interests were disclosed.
  • Jose Fernando Pena-Ortega, Departamento de Neurobiología del Desarrollo y Neurofisiología, Instituto de Neurobiología, Universidad Nacional Autónoma de México-Campus Juriquilla, Querétaro, Mexico
    No competing interests were disclosed.
  • Muriel Thoby-Brisson, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, CNRS UMR 5287, Université de Bordeaux, Bordeaux, France
    No competing interests were disclosed.

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