The role of the rostral ventrolateral medulla in systolic blood pressure frequency content within the Mayer wave band
Bibliographic record
Abstract
A primary supraspinal structure involved in sympathetically‐mediated blood pressure control is the rostral ventrolateral medulla (RVLM). The RVLM is where the cell‐bodies of descending sympatho‐excitatory axons responsible for blood pressure control are located. The frequency through which the sympathetic nervous system modulates blood pressure has been termed the Mayer wave. The precise origin of Mayer waves has never been clearly identified. Using a rat model, our objective was to assess the causal role of the RVLM in Mayer waves, which in rats occur in the low‐frequency range of 0.4–1.0 Hz. We tested this by assessing wavelet spectrograms in response to 1) optogenetic stimulation of the RVLM, 2) orthostatic activation of the RVLM and 3) surgical disruption of descending sympatho‐excitatory pathways. We optogenetically stimulated tyrosine hydroxylase (TH) ON neurons of the RVLM in a TH:Cre rat and found increased power in the Mayer wave band of the wavelet spectrogram. When we applied an orthostatic challenge to the rodents, in order to increase baroreflex‐mediated RVLM activity, the increased power in the wavelet spectrogram was again observed. In contrast, we did not find this effect in rats after a severe T3 spinal cord contusion, which disrupts descending sympatho‐excitatory pathways. In conclusion, TH ON neurons in the RVLM appear to be responsible for systolic blood pressure frequency content in the Mayer wave band. Support or Funding Information Canadian Institutes of Health Research, Libin Cardiovascular Institute, Hotchkiss Brain Institute, Wings for Life, Campus Alberta Neuroscience.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".