A232 AUTONOMIC FUNCTION ANALYSIS VIA HEART RATE VARIABILITY ASSOCIATED WITH PROPULSIVE MOTOR PATTERNS OF THE HUMAN COLON
Bibliographic record
Abstract
Abstract Background Although parasympathetic activity is the primary driver of colonic propulsive activity, and sympathetic activity a major inhibitor of colonic motility, they are rarely measured and almost play no role in diagnosis of dysfunction or standard treatments. Aims Our aim was to develop assessment of autonomic nervous system activity associated with the major propulsive motor patterns, an essential part of defecation reflexes in the human colon orchestrated by neural reflexes. Methods One hundred and forty-five motor patterns were recorded from eleven healthy volunteers using high resolution colonic manometry (HRCM) with concurrent electro- and impedance cardiography to evaluate changes in parameters of heart rate variability (HRV). Results High-amplitude propagating pressure waves (HAPWs) that often start in the proximal colon, traverse distally and end with anal sphincter relaxation, were associated with a 8.2% (P<0.02) increase in the respiratory sinus arrhythmia (RSA) value, a 24.6% increase in the root mean square of successive differences of beat to beat intervals (RMSSD), indicated a strong parasympathetic reactivity that subsided within 2 min of termination of the HAPW (Figure 1). The measure of sympathetic reactivity to motor patterns was best reflected by the Baevsky Stress Index (or Sympathetic Index, SI) that reduced by 45% (P<0.02). We developed a measure of autonomic balance, the SI/RSA ratio that changed from 18.8 to 8.7 (54%; P<0.01) during motor activity and recovered to 16.1 immediately after (P<0.005). The SI/RMSSD reduced by 65% (P<0.01). When HAPWs occurred in quick succession, the parasympathetic activity showed rhythmicity at the HAPW frequency that slowly terminated when motor activity stopped. During motor activity, the heart rate did not significantly change. Conclusions The major propulsive motor pattern of the human colon, the HAPW as measured by HRCM that is part of the major defecation reflexes, is associated with marked changes in parasympathetic and sympathetic activity that is reflected and measurable as heart rate variability parameters. This opens the way to evaluate autonomic dysfunction in patients with colon motor disorders. Funding Agencies CIHRNSERC, Farncombe Institute
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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 | 0.001 |
| 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) | 0.001 | 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".