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Drowning a frog respiratory oscillator in a wash of network excitability

2018· article· en· W3176777704 on OpenAlexafffund
Richard J. A. Wilson, Mufaddal I. Baghdadwala

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBrainstemRhythmBiologyRespiratory systemNeuroscienceAnatomyInternal medicineMedicine

Abstract

fetched live from OpenAlex

To be part of a respiratory rhythm generating circuit, a brainstem nuclei must (1) have phasic activity timed to the rhythm ( correlation ), (2) be able to speed the rhythm when excited ( sufficiency ), and (3) be able to slow the rhythm or terminate it when inhibited ( necessity ). A discrete brainstem nucleus passing these tests is currently considered a critical site for respiratory rhythm generation ( an oscillator ) if the nuclei continues to be rhythmic when physically isolated. Compelling and accumulating evidence in support of oscillators has been found in many vertebrates including lampreys, bullfrogs, turtles, birds, mice and rats. In bullfrogs and rodents, three putative oscillators have been discovered: the lung power stroke, lung priming and buccal oscillators in frogs; and in mammals the para Facial Respiratory Group (pFRG), Post‐Inspiratory Complex (PICO), and the PreBötzinger Complex (PreBötC). As the buccal oscillator in frogs and the PreBötC in mammals are located in the same brainstem rhombomere, r7, they may be homologous. Identification of multiple ‐‐ possibly homomogous ‐‐ oscillators in different species has led to the Oscillator Hypothesis which, in its strongest form, posits that respiratory rhythm is produced solely by brainstem oscillators and phase of motor bursts is determine by their interaction. However, almost complete (90%) destruction of the putative PreBötC in goats over several days was insufficient to terminate breathing. One explanations for this observation is a network architecture in which respiratory oscillators are no more than isolatable units in a much larger rhythmogenic network. To test if this is the case in frogs, we (a) located the frog buccal oscillator using necessity and sufficiency tests in an isolated hemisected brainstem preparation; (b) increased the excitability of the hemisection which increases the frequency and amplitude of the buccal motor pattern; and (c) again tested for necessity. We found that with network excitation, the necessity of the buccal oscillator disappeared, replaced by distributed rhythmogenesis in the surrounding premotor network. These data suggest that the Oscillator Hypothesis may need to be revised in frogs and possibly other vertebrates; the existence of the buccal oscillator as a discrete site of rhythm generation appears to be state dependent and may only be demonstrable in some conditions. Support or Funding Information This work was supported by NSERC This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.292
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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