Brainstem circuit operations regulating the mammalian respiratory network

The core respiratory network of mammals has been investigated and modeled extensively. This accumulated work has strongly supported the current hypothesis of a network controlled by inspiratory neurons in the preBötzinger complex and motor behaviors shaped by circuits of inspiratory and expiratory neurons. We have interrogated a database of brainstem neuron spike train recordings from in vivo experiments in anesthetized or decerebrated cats from over 30 years of experiments (n=211 animals). These spike trains were obtained by simultaneous recordings with multiple tungsten electrode arrays (n=40-100 probes) that were placed in the ventrolateral respiratory column, pons, nucleus tractus solitarius (NTS), raphe nuclei and reticular formation. The database contains spike trains from over 6,700 brainstem neurons. Functional interactions between neurons were inferred from cross-correlation analysis and extracellular spike-triggered averaging. Over 160,000 cross correlations were performed of which over 9,300 functional correlations were detected. We observed: 1) cross correlations in which solely central features (consistent with parallel processes) and solely offset features (consistent with serial processes) occurred at equal frequencies; 2) direct reciprocal functional relationships with a predominance of inhibitory processes, 3) reciprocal inhibitory relationships between populations via more complex subcircuits involving at least 1 or 2 additional neurons; 4) excitatory phenomena between inspiratory and expiratory neurons that occurred sometimes as often as inhibitory phenomena, 5) high frequencies of excitation within the inspiratory neuron population as well as within the expiratory neuron population. These data support: robust excitation within the core respiratory circuit that is not well represented in current models; a high incidence of parallel circuit operations in this network; and complex circuit motifs that involve different types of respiratory neurons to achieve reciprocal functions. NIH HL 155721 and NIH HL 163008 This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

Authors

Institutions

Publication Details

Journal
Physiology
Published
2025-05-01
DOI
https://doi.org/10.1152/physiol.2025.40.s1.0578
Primary Topic
Neuroscience of respiration and sleep
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Brainstem circuit operations regulating the mammalian respiratory network

John A. Hayes, Donald C. Bolser, Dale Shuman, Kendall Morris et al.
1 links
Physiology
Neuroscience of respiration and sleep
article

Brainstem circuit operations regulating the mammalian respiratory network

John A. Hayes, Donald C. Bolser, Dale Shuman, Kendall Morris, Sarah C. Nuding, Lauren Segers
article en

Abstract

The core respiratory network of mammals has been investigated and modeled extensively. This accumulated work has strongly supported the current hypothesis of a network controlled by inspiratory neurons in the preBötzinger complex and motor behaviors shaped by circuits of inspiratory and expiratory neurons. We have interrogated a database of brainstem neuron spike train recordings from in vivo experiments in anesthetized or decerebrated cats from over 30 years of experiments (n=211 animals). These spike trains were obtained by simultaneous recordings with multiple tungsten electrode arrays (n=40-100 probes) that were placed in the ventrolateral respiratory column, pons, nucleus tractus solitarius (NTS), raphe nuclei and reticular formation. The database contains spike trains from over 6,700 brainstem neurons. Functional interactions between neurons were inferred from cross-correlation analysis and extracellular spike-triggered averaging. Over 160,000 cross correlations were performed of which over 9,300 functional correlations were detected. We observed: 1) cross correlations in which solely central features (consistent with parallel processes) and solely offset features (consistent with serial processes) occurred at equal frequencies; 2) direct reciprocal functional relationships with a predominance of inhibitory processes, 3) reciprocal inhibitory relationships between populations via more complex subcircuits involving at least 1 or 2 additional neurons; 4) excitatory phenomena between inspiratory and expiratory neurons that occurred sometimes as often as inhibitory phenomena, 5) high frequencies of excitation within the inspiratory neuron population as well as within the expiratory neuron population. These data support: robust excitation within the core respiratory circuit that is not well represented in current models; a high incidence of parallel circuit operations in this network; and complex circuit motifs that involve different types of respiratory neurons to achieve reciprocal functions. NIH HL 155721 and NIH HL 163008 This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

PhysiologyVol. 40(S1)
University of South Florida (US), University of Florida (US)
Openalex Percentile: Top 83%
Neuroscience of respiration and sleep
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.