The Influence of Sagittal Plane Spine Alignment on Neurophysiology and Sensorimotor Control Measures: Optimization of Function through Structural Correction
Bibliographic record
Abstract
Increasingly, there is more attention being directed to the role that full spine sagittal alignment plays in causing or exacerbating a variety of musculoskeletal disorders. Similarly, spinal displacements, termed subluxation, are thought to cause dysfunctions in the entire neuromusculoskeletal system that may lead to altered neurophysiological function, abnormal sensorimotor control, and altered autonomic nervous system function. Abnormalities in neutral upright spine alignment (sagittal translation or flexion deformities) are known to increase mechanical loads (stresses and strains) on the central nervous system. These increased mechanical loads may subtly or overtly impair neurophysiological function as measured with evoked potentials in terms of latency and amplitudes of potentials. Proprioceptive afferentation from spine ligaments, muscles and discs are considered a major component of sensorimotor control. The voluminous mechanoreceptors in spinal muscles, ligaments, and discs plays an intimate role, providing the necessary neurophysiological input in a feed forward and feedback system for sensorimotor control via connections to the vestibular, visual and central nervous systems. Of particular interest, a network of neurophysiological connections between spine mechanoreceptors and the sympathetic nervous system has been documented. This chapter explores the hypothesis and evidence that restoring normal posture and spine alignment has important influences on neurophysiology, sensorimotor control and autonomic nervous system functionality. There is limited but high-quality research identifying that sagittal spine alignment restoration plays an important role in improving neurophysiology, sensorimotor control, and autonomic nervous system function. Accordingly, in the current chapter, we review this work in hopes of stimulating further investigations into structural rehabilitation of the spine and posture.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".