ArticleJournal of neurophysiology2013
Cycle-by-cycle assembly of respiratory network activity is dynamic and stochastic.
Article in Journal of neurophysiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed.
- An inspiration-off attractor supports the robust and flexible control of breathing.Science advances · 2026Article
- A Computational Model of the Respiratory CPG for the Artificial Control of Breathing.Bioengineering (Basel, Switzerland) · 2025Article
- An inspiration-off attractor supports the robust and flexible control of breathing.bioRxiv : the preprint server for biology · 2025Article
- COVID-19 and silent hypoxemia in a minimal closed-loop model of the respiratory rhythm generator.Biological cybernetics · 2024Article
- Inspiratory and sigh breathing rhythms depend on distinct cellular signalling mechanisms in the preBötzinger complex.The Journal of physiology · 2024Article
- Hydrogen sulfide production in the medullary respiratory center modulates the neural circuit for respiratory pattern and rhythm generations.Scientific reports · 2023Article
- Mechanism of Arcuate Kisspeptin Neuron Synchronization in Acute Brain Slices From Female Mice.Endocrinology · 2023Article
- Purinergic signaling mediates neuroglial interactions to modulate sighs.Nature communications · 2023Article
- Mechanism of kisspeptin neuron synchronization for pulsatile hormone secretion in male mice.Cell reports · 2023Article
- Microcircuit Synchronization and Heavy-Tailed Synaptic Weight Distribution Augment preBötzinger Complex Bursting Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Temporal variations in the pattern of breathing: techniques, sources, and applications to translational sciences.The journal of physiological sciences : JPS · 2022Review
- Breathing Rhythm and Pattern and Their Influence on Emotion.Annual review of neuroscience · 2022Review
- Phase- and state-dependent modulation of breathing pattern by preBötzinger complex somatostatin expressing neurons.The Journal of physiology · 2022Article
- Dynamic Rhythmogenic Network States Drive Differential Opioid Responses in theThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Article
- Unraveling the Mechanisms Underlying Irregularities in Inspiratory Rhythm Generation in a Mouse Model of Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Neuronal mechanisms underlying opioid-induced respiratory depression: our current understanding.Journal of neurophysiology · 2021Review
- Why Firing Rate Distributions Are Important for Understanding Spinal Central Pattern Generators.Frontiers in human neuroscience · 2021Article
- Emergent Elements of Inspiratory Rhythmogenesis: Network Synchronization and Synchrony Propagation.Neuron · 2020Article
- Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling.Frontiers in neural circuits · 2020Article
1 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
Rhythmically active networks are typically composed of neurons that can be classified as silent, tonic spiking, or rhythmic bursting based on their intrinsic activity patterns. Within these networks, neurons are thought to discharge in distinct phase relationships with their overall network output, and it has been hypothesized that bursting pacemaker neurons may lead and potentially trigger cycle onsets. We used multielectrode recording from 72 experiments to test these ideas in rhythmically active slices containing the pre-Bötzinger complex, a region critical for breathing. Following synaptic blockade, respiratory neurons exhibited a gradient of intrinsic spiking to rhythmic bursting activities and thus defied an easy classification into bursting pacemaker and nonbursting categories. Features of their firing activity within the functional network were analyzed for correlation with subsequent rhythmic bursting in synaptic isolation. Higher firing rates through all phases of fictive respiration statistically predicted bursting pacemaker behavior. However, a cycle-by-cycle analysis indicated that respiratory neurons were stochastically activated with each burst. Intrinsically bursting pacemakers led some population bursts and followed others. This variability was not reproduced in traditional fully interconnected computational models, while sparsely connected network models reproduced these results both qualitatively and quantitatively. We hypothesize that pacemaker neurons do not act as clock-like drivers of the respiratory rhythm but rather play a flexible and dynamic role in the initiation and stabilization of each burst. Thus, at the behavioral level, each breath can be thought of as de novo assembly of a stochastic collaboration of network topology and intrinsic properties.
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