Theoretical_Model_of_Vortical_Dynamics_of_CSF

Mechanical Coupling, Respiration, and Systemic Coherence This repository contains exploratory research aimed at modeling the dynamics of Cerebrospinal Fluid (CSF) as a structured flow system. Rather than viewing the cranio-spinal system as a passive conduit, this model analyzes it as a mechanical waveguide whose coherence is modulated by anatomical asymmetries, respiration, and cardiac pulsations. Repository Contents Theoretical_Model_of_Vortical_Dynamics_of_CSF.pdf: The full manuscript detailing the theoretical framework, working hypotheses, interpretation of the spinal system, and clinical validation perspectives. model.py: A Python script implementing the heuristic propagation equation used to simulate the dynamic flow signature ($\Psi$). README.md: Technical documentation of the project. Mathematical Model The dynamics are governed by a discrete propagation equation that simulates the impact of mechanical resistances on the global coherence of the system: $$\Psi_{i}(t + \Delta t) = \Psi_{i}(t) + \frac{v_{i}(1 + \theta_{i}) + v_{veineux,i} \cdot 0.5}{1 + Z_{i}/10} \cdot \Delta t$$ Key Variables: $\Psi$: State parameter representing the dynamic flow signature. $\theta$: Torsion coefficient derived from anatomical asymmetries. $Z$: Mechanical impedance index (representing myofascial tension zones). $v_{veineux}$: Hydraulic coupling component. User Guide Requirements Python 3.9+ NumPy Author: Karl Julien Iai.Ach. (Julien Karlia) Status: Exploratory theoretical model Reference: INPI AxeSaros V024022026 DOI: 10.5281/zenodo.19428740

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20323393
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Theoretical_Model_of_Vortical_Dynamics_of_CSF

Julien Karlia karl julien iaiche achour
Zenodo (CERN European Organization for Nuclear Research)
Cerebrospinal fluid and hydrocephalus
preprint

Theoretical_Model_of_Vortical_Dynamics_of_CSF

Julien Karlia karl julien iaiche achour
preprint en

Abstract

Mechanical Coupling, Respiration, and Systemic Coherence This repository contains exploratory research aimed at modeling the dynamics of Cerebrospinal Fluid (CSF) as a structured flow system. Rather than viewing the cranio-spinal system as a passive conduit, this model analyzes it as a mechanical waveguide whose coherence is modulated by anatomical asymmetries, respiration, and cardiac pulsations. Repository Contents Theoretical_Model_of_Vortical_Dynamics_of_CSF.pdf: The full manuscript detailing the theoretical framework, working hypotheses, interpretation of the spinal system, and clinical validation perspectives. model.py: A Python script implementing the heuristic propagation equation used to simulate the dynamic flow signature ($\Psi$). README.md: Technical documentation of the project. Mathematical Model The dynamics are governed by a discrete propagation equation that simulates the impact of mechanical resistances on the global coherence of the system: $$\Psi_{i}(t + \Delta t) = \Psi_{i}(t) + \frac{v_{i}(1 + \theta_{i}) + v_{veineux,i} \cdot 0.5}{1 + Z_{i}/10} \cdot \Delta t$$ Key Variables: $\Psi$: State parameter representing the dynamic flow signature. $\theta$: Torsion coefficient derived from anatomical asymmetries. $Z$: Mechanical impedance index (representing myofascial tension zones). $v_{veineux}$: Hydraulic coupling component. User Guide Requirements Python 3.9+ NumPy Author: Karl Julien Iai.Ach. (Julien Karlia) Status: Exploratory theoretical model Reference: INPI AxeSaros V024022026 DOI: 10.5281/zenodo.19428740

Zenodo (CERN European Organization for Nuclear Research)
Cerebrospinal fluid and hydrocephalus
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.