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Record W4414645142 · doi:10.1152/ajpregu.00151.2025

Cerebral pressure-flow relationship directional sensitivity in healthy lowlanders and natives at high altitude

2025· article· en· W4414645142 on OpenAlexafffund
Shahrzad Soleimani Dehnavi, Jonathan D. Smirl, Marc‐Antoine Roy, Lawrence Labrecque, François Billaut, Kurt J. Smith, Samuel J. E. Lucas, Philip N. Ainslie, Patrice Brassard

Bibliographic record

VenueAmerican Journal of Physiology-Regulatory, Integrative and Comparative Physiology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsOkanagan University CollegeUniversity of British ColumbiaUniversity of VictoriaUniversity of CalgaryLibin Cardiovascular Institute of AlbertaUniversité LavalUniversity of British Columbia, Okanagan CampusAlberta Children's HospitalInstitut universitaire de cardiologie et de pneumologie de Québec
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsEffects of high altitude on humansAcclimatizationAltitude (triangle)PopulationMiddle cerebral arteryBlood pressureCerebral blood flow

Abstract

fetched live from OpenAlex

Cerebral blood flow changes are buffered when blood pressure increases versus decreases. The current findings suggest that acute exposure and partial acclimatization to high altitude do not influence the presence of this phenomenon in lowlanders. Preservation of this hysteresis-like pattern across all altitude conditions may protect the cerebral microvasculature from hypoxia-induced increases in blood pressure. However, cerebral pressure-flow directional sensitivity is absent in Sherpa, a well-adapted highlander population, when blood pressure oscillates at higher frequency.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.282
Teacher spread0.268 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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