The Bioneurosonic Wave-Field Paradigm: Mathematical Modeling of Mechano-Acoustic and Electrophysiological Coupling for Non-Invasive Neuromodulation and Speech Articulation Therapy
Year: 2026
Type: article
Abstract: This technical monograph introduces a novel biophysical and computational neuroscience paradigm that conceptualizes the human brain as an active generator of synchronized vibrational matrices. We formalize the construction of cognitive and vocal sound units (\(U_{s}\)) through the integration of two distinct internal fields: Biosonic Vibrations (\(V_{bs}\)), representing internal mechanical, fluid, and bone-conducted acoustic oscillations within the cranial vault; and Bioneurosonic Vibrations (\(V_{bns}\)), representing the synchronized electrophysiological network behavior of neurons. By adapting classical signal modulation architectures to cerebral dynamics, this framework treats high-frequency neuro-rhythms as internal carrier waves phase-modulated by lower-frequency mechanical tissue oscillations. Building upon these mathematical wave-field coupling equations, we present a translational clinical methodology for resolving developmental speech articulation disorders and phonetic bottlenecks in Broca's Area. We outline a strict three-step diagnostic and therapeutic loop: mapping neural clock rate overloads via Magnetoencephalography (MEG), tracking paramagnetic plasma mineral concentrations via Inductively Coupled Plasma Mass Spectrometry (ICP-MS), and evaluating peripheral acoustic output phase shifts. Finally, we demonstrate how targeted, external human vocal signals (\(V_{ext}\)) and phase-locked "low & slow" frequency sweeps induce localized acousto-strictive compression. This biophysical mechanism successfully drives macrovascular structural diameter inversion (from 5 mm back to a stable 2 mm baseline) and shunts trans-endothelial electronic surges from over 15,000 active charges down to a safe, regulated threshold of 10,000 electrons, permanently restoring peripheral speech musculature phase alignment.
Author: Abouelfida, Abdelhadi
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7223448747