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The Role of the Paravertebral Ganglia in Sympathetic Vasoconstrictor Neural Discharge Patterns

2018· article· en· W3175395315 on OpenAlexaffabout
Stephen A. Klassen, Jacqueline K. Limberg, Sarah E. Baker, Wayne T. Nicholson, Timothy B. Curry, Michael J. Joyner, J. Kevin Shoemaker

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsWestern University
Fundersnot available
KeywordsMicroneurographyHeart rateEfferentBlood pressureMedicineAnesthesiaCardiologyInternal medicineValsalva maneuverBaroreflexAfferent

Abstract

fetched live from OpenAlex

Action potentials (APs) of varying sizes and firing probabilities, that are synchronized into bursts of efferent traffic, characterize recordings of muscle sympathetic nerve activity (MSNA). Recent evidence points to ordered recruitment of these APs but the sites of this control remain unknown. This study investigated the role of the paravertebral ganglia in sympathetic AP emission patterns using pharmacological blockade of ganglionic N N ‐nicotinic receptors via trimethaphan camsylate (TM; n = 7 females, 37 ±5 years, 112 ±2/70 ±3 mmHg, 22 ±1 kg/m 2 ). Heart rate (HR; ECG), blood pressure (BP; arterial catheter) and MSNA (microneurography) were recorded during baseline, TM infusion (1–7 mg/min) and Valsalva's manoeuvre. MSNA APs were detected from the filtered raw signal using a wavelet deconstruction approach and were binned in clusters (Scott's rule) based on peak‐to‐peak amplitude (K‐means). In the final minute of MSNA burst detection during TM, HR increased (57 ±11 to 66 ±12 bpm) and mean BP decreased (97 ±7 to 90 ±7 mmHg) (both P < 0.01 compared to baseline). Relative to baseline, TM elicited a progressive reduction in total sympathetic outflow (833 ±458 to 157 ±120 AU/min), characterized by fewer integrated bursts (30 ±14 to 9 ±8 bursts/100 beats) with decaying amplitude (49 ±3 to 31 ±3 AU) (all P < 0.01). Underlying TM‐mediated attenuations in integrated MSNA were reductions in AP incidence (186 ±101 to 29 ±31 AP/100beats) and AP content per integrated burst (7 ±2 to 3 ±1 APs/burst) (all P < 0.01). Compared to baseline, the total number of active AP clusters was reduced with TM (14 ±3 to 9 ±3 AP clusters), resulting in fewer unique clusters per burst (4 ±1 to 3 ±1 AP clusters/burst) (both P < 0.01). Relative to baseline, most participants demonstrated a reduction in the within‐burst firing probability of all AP clusters, with the largest two to six AP clusters ceasing to fire in the last minute before integrated bursting activity was abolished. Following cessation of integrated MSNA bursts, the smallest 6 ±2 sympathetic AP clusters (range: 4 – 8 AP clusters) persisted to fire in an asynchronous pattern (49 ±41 AP/100beats) in all participants. Valsalva's Maneuver did not increase the incidence of these persistent small APs (60 ±42 AP/100beats, P = 0.52), or instigate any larger APs (previously active at baseline) in six of seven participants (6 ±1 total AP clusters, P = 0.30). These data suggest: 1) the paravertebral ganglia may contribute to the heterogeneity in the firing probabilities of varying sized postganglionic sympathetic APs active under baseline conditions, and 2) the presence of non‐synchronized sympathetic APs that express resistance to blockade with trimethaphan. Support or Funding Information Supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada, Discovery Grant #217916‐2013. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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 designBench or experimental
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

Citations0
Published2018
Admission routes2
Has abstractyes

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