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Systemic Entrainment of Somatosensorial Matrices: Trigemino-Vagal Coupling, Cerebrospinal Fluid Contiguity, and Parametric Validation of the Cross-Axis Sublingual Submental HC-E Protocol

Year: 2026
Type: preprint
Abstract: Background: Human Cognitive Engineering (HC-E) models posit that the human somatosensory matrix operates as a continuous biophysical network. Recent breakthroughs challenge classical neuroanatomical paradigms by demonstrating that cerebrospinal fluid (CSF) flow is not strictly confined to the central nervous system (CNS), but extends continuously into the peripheral nervous system (PNS) via the perineurium, endoneurium, and distal axoplasm. This fluid contiguity underscores the biomechanical foundation of systemic entrainment between lower plantar networks and upper cranial mechanoreceptive nodes. Objective: This paper presents the parametric validation of the Cross-Axis Sublingual / Submental HC-E Protocol, an intervention designed to leverage both fascial and CSF fluidics to induce immediate trigemino-vagal coupling and central autonomic modulation. Methods: A synchronized five-phase protocol utilizing a mechanical percussive frequency of 2.1 Hz and sustained tensive forces of 1.0 to 1.5 N was applied. The protocol targets slowly adapting type I mechanoreceptors (Merkel discs) in the hard palate and type II mechanoreceptors (Ruffini corpuscles) in the deep submental fascia. Results: Electrophysiological tracking and fluidic modeling demonstrated a significant drop in ionic impedance post-priming, followed by an immediate shift in autonomic tonus toward vagal dominance, confirming an acute decoupling of the Default Mode Network (DMN) mediated by endocannabinoid synthesis and optimized trans-nervous fluid dynamics. Conclusion: The data validate the existence of an immediate axial reflex, proving that localized cranial-lingual mechanical inputs trigger a systemic entrainment that realigns lower and upper somatosensory frameworks via a unified fascial and neuro-fluidic network.
Language: English
Field: Medicine
Open Access status: green
OpenAlex ID: W7225588889
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