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Record W2520847308 · doi:10.1113/ep085764

Quantifying cerebrovascular reactivity in anterior and posterior cerebral circulations during voluntary breath holding

2016· article· en· W2520847308 on OpenAlexafffund
Christina D. Bruce, Craig D. Steinback, Uday V. Chauhan, Jamie R. Pfoh, Maria Abrosimova, Emily R. Vanden Berg, Rachel J. Skow, Margie H. Davenport, Trevor A. Day

Bibliographic record

VenueExperimental Physiology · 2016
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of VictoriaUniversity of AlbertaMount Royal University
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates - Health SolutionsUniversity of Victoria
KeywordsBrainstemCardiologyMedicineInternal medicineStimulus (psychology)AnesthesiaCerebral blood flowPsychology

Abstract

fetched live from OpenAlex

New Findings What is the central question of this study? We developed and validated a ‘stimulus index’ (SI; ratio of end‐tidal partial pressures of CO2 and O2) method to quantify cerebrovascular reactivity (CVR) in anterior and posterior cerebral circulations during breath holding. We aimed to determine whether the magnitude of CVR is correlated with breath‐hold duration. What is the main finding and its importance? Using the SI method and transcranial Doppler ultrasound, we found that the magnitude of CVR of the anterior and posterior cerebral circulations is not positively correlated with physiological or psychological break‐point during end‐inspiratory breath holding. Our study expands the ability to quantify CVR during breath holding and elucidates factors that affect break‐point. The central respiratory chemoreflex contributes to blood gas homeostasis, particularly in response to accumulation of brainstem CO2. Cerebrovascular reactivity (CVR) affects chemoreceptor stimulation inversely through CO2 washout from brainstem tissue. Voluntary breath holding imposes alterations in blood gases, eliciting respiratory chemoreflexes, potentially contributing to breath‐hold duration (i.e. break‐point). However, the effects of cerebrovascular reactivity on break‐point have yet to be determined. We tested the hypothesis that the magnitude of CVR contributes directly to breath‐hold duration in 23 healthy human participants. We developed and validated a cerebrovascular stimulus index methodology [SI; ratio of end‐tidal partial pressures of CO2 and O2 ( )] to quantify CVR by correlating measured and interpolated values of (r = 0.95, P < 0.0001), (r = 0.98, P < 0.0001) and SI (r = 0.94, P < 0.0001) during rebreathing. Using transcranial Doppler ultrasound, we then quantified the CVR of the middle (MCAv) and posterior (PCAv) cerebral arteries by plotting cerebral blood velocity against interpolated SI during a maximal end‐inspiratory breath hold. The MCAv CVR magnitude was larger than PCAv (P = 0.001; +70%) during breath holding. We then correlated MCAv and PCAv CVR with the physiological (involuntary diaphragmatic contractions) and psychological (end‐point) break‐point, within individuals. There were significant inverse but modest relationships between both MCAv and PCAv CVR and both physiological and psychological break‐points (r < −0.53, P < 0.03). However, these relationships were absent when MCAv and PCAv cerebrovascular conductance reactivity was correlated with both physiological and psychological break‐points (r > −0.42; P > 0.06). Although central chemoreceptor activation is likely to be contributing to break‐point, our data suggest that CVR‐mediated CO2 washout from central chemoreceptors plays no role in determining break‐point, probably because of a reduced arterial‐to‐tissue CO2 gradient during breath holding.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.284
Teacher spread0.262 · 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 designObservational
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

Citations29
Published2016
Admission routes2
Has abstractyes

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