Understanding Posturo-Occlusal Interrelationships by Combining Digital Occlusal and Posture Diagnostic Technologies
Bibliographic record
Abstract
The nature of the interrelationship between whole body posture and the quality of the dental occlusion has not yet to date been clearly documented within the dental or posture literature, as the findings of published studies within both fields have been scarce and inconclusive. The combined use of digital diagnostic occlusal and postural assessment technologies has not been widely employed in these research projects, which has mired both fields' ability to study, to understand, and to clearly ascertain how posture and dental occlusion affect each other physiologically. As such, the specific aims of this chapter are to outline how posture and dental occlusion interrelate through the stomatognathic system's afferent neural inputs into the central nervous system (CNS), which communicate important occlusal contact force distribution information, and equally as important, mandibular spatial positional information within the posture and balance regions of the brain. The concept that the dental occlusion is a capteur for posture (which in English means, a sensor of posture health), is further explored with the inclusion of three differing clinical posturo-occlusal cases, diagnosed and treated with the combined use of the T-Scan 9 computerized occlusal analysis technology, the MatScan/MobileMat foot pressure mapping technology, and the Footmat Research software version 7.10. These presented clinical cases illustrate that improved right-to-left occlusal contact force balance, and improved center of force location within the dental arches, improve a number of measurable sway parameters. Together, the implementation of the T-Scan and the MatScan exquisitely demonstrate to the clinician the significance of the physiologic interrelationship between body posture and the dental occlusion. The presented cases emphasize there exists a whole-body concept that depends upon a variety of differing systems, whereby changes in the dental occlusion produce a phenomenon of bio-functional neuro-reprogramming for the stomatognathic system and the whole body.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".