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Record W4214491222 · doi:10.1113/ep090159

Directional sensitivity of the cerebral pressure–flow relationship in young healthy individuals trained in endurance and resistance exercise

2022· article· en· W4214491222 on OpenAlexaff

Bibliographic record

VenueExperimental Physiology · 2022
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsHotchkiss Brain InstituteCalgary Laboratory ServicesUniversity of CalgaryUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsCerebral autoregulationMiddle cerebral arteryCerebral blood flowMean arterial pressureResistance trainingBlood pressureAutoregulationCerebral arteries

Abstract

fetched live from OpenAlex

New Findings What is the central question of this study? Does habitual exercise modality affect the directionality of the cerebral pressure–flow relationship? What is the main finding and its importance? These data suggest the hysteresis‐like pattern of dynamic cerebral autoregulation appears present in long‐term sedentary and endurance‐trained individuals, but absent in resistance‐trained individuals. This is the first study to expand knowledge on the directional sensitivity of the cerebral pressure–flow relationship to trained populations. Abstract Evidence suggests the cerebrovasculature may be more efficient at dampening cerebral blood flow (CBF) variations when mean arterial pressure (MAP) transiently increases, compared to when it decreases. Despite divergent MAP and CBF responses to acute endurance and resistance training, the long‐term impact of habitual exercise modality on the directionality of dynamic cerebral autoregulation (dCA) is currently unknown. Thirty‐six young healthy participants (sedentary ( n = 12), endurance‐trained ( n = 12), and resistance‐trained ( n = 12)) undertook a 5‐min repeated squat–stand protocol at two forced MAP oscillation frequencies (0.05 and 0.10 Hz). Middle cerebral artery mean blood velocity (MCAv) and MAP were continuously monitored. We calculated absolute (ΔMCAv T /ΔMAP T ) and relative (%MCAv T /%MAP T ) changes in MCAv and MAP with respect to the transition time intervals of both variables to compute a time‐adjusted ratio in each MAP direction, averaged over the 5‐min repeated squat–stand protocols. At 0.10 Hz repeated squat–stands, ΔMCAv T /ΔMAP T and %MCAv T /%MAP T were lower when MAP increased compared with when MAP decreased for sedentary (ΔMCAv T /ΔMAP T : P = 0.032; %MCAv T /%MAP T : P = 0.040) and endurance‐trained individuals (ΔMCAv T /ΔMAP T : P = 0.012; %MCAv T /%MAP T P = 0.007), but not in the resistance‐trained individuals (ΔMCAv T /ΔMAP T : P = 0.512; %MCAv T /%MAP T P = 0.666). At 0.05 Hz repeated squat–stands, time‐adjusted ratios were similar for all groups (all P > 0.605). These findings suggest exercise training modality does influence the directionality of the cerebral pressure–flow relationship and support the presence of a hysteresis‐like pattern during 0.10 Hz repeated squat–stands in sedentary and endurance‐trained participants, but not in resistance‐trained individuals. In future studies, assessment of elite endurance and resistance training habits may further elucidate modality‐dependent discrepancies on directional dCA measurements.

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)0.002
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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

Citations33
Published2022
Admission routes1
Has abstractyes

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