Effects of muscle sympathetic burst size and burst pattern on time-to-peak sympathetic transduction
Bibliographic record
Abstract
The current study evaluated the influence of resting muscle sympathetic nerve activity (MSNA) burst size and firing pattern on time-to-peak sympathetic transduction in 36 young healthy men and women. Participants underwent a 5–10 min resting baseline with beat-to-beat measures of heart rate, mean arterial pressure (MAP), and MSNA (microneurography). Cardiac output and total vascular conductance were calculated using the Modelflow algorithm. Sympathetic transduction was quantified using the burst-triggered signal averaging technique to examine the changes in MAP, cardiac output, and total vascular conductance for 15 cardiac cycles after each MSNA burst or non-burst. A stepwise increase in the peak MAP (i.e., sympathetic transduction) was observed throughout all quartiles of normalized MSNA burst area (quartile 1 (Q1): 1.7 ± 1.3 mm Hg; Q2: 2.1 ± 1.3 mm Hg; Q3: 2.6 ± 1.4 mm Hg; Q4: 3.5 ± 1.4 mm Hg; P < 0.01). The largest quartile of normalized MSNA burst area demonstrated faster time-to-peak MAP responses (5.7 ± 2.5 s) than both Q1 (10.1 ± 3.9 s, P < 0.01) and Q2 (9.3 ± 4.1 s, P < 0.01), as well as, faster time-to-peak cardiac output and time-to-nadir total vascular conductance compared with Q1 and Q2 (All P < 0.05). Larger clusters of sympathetic bursts (i.e., triplets and ≥ quadruplets) did not have increased time-to-peak transduction compared with singlets and doublet bursts across all MSNA quartiles. These results highlight intraindividual variability in the time-course of sympathetic transduction and reveal an intrinsic property of larger sympathetic bursts to increase time-to-peak sympathetic transduction in humans. Novelty: Muscle sympathetic burst size can modulate time-to-peak sympathetic transduction in young healthy men and women. These observations appear independent of the pattern of sympathetic firing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".