Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Ventricular volume regulation: a mathematical model and computer simulation.

H L Rekate1, J A Brodkey, H J Chizeck

  • 1Section of Pediatric Neurosurgery, Barrow Neurological Institute, Phoenix, Ariz.

Pediatric Neuroscience
|January 1, 1988
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Highest fusion performance without harmful edge energy bursts in tokamak.

Nature communications·2024
Same author

A sustained high-temperature fusion plasma regime facilitated by fast ions.

Nature·2022
Same author

LONG-TERM EVALUATION OF A NON-HERMETIC MICROPACKAGE TECHNOLOGY FOR MEMS-BASED, IMPLANTABLE PRESSURE SENSORS.

International Solid-State Sensors, Actuators and Microsystems Conference : [proceedings]. International Conference on Solid-State Sensors, Actuators, and Microsystems·2021
Same author

Quasisymmetric Optimization of Nonaxisymmetry in Tokamaks.

Physical review letters·2021
Same author

Fully implanted adaptive deep brain stimulation in freely moving essential tremor patients.

Journal of neural engineering·2020
Same author

Nonambipolar Transport due to Electrons with 3D Resistive Response in the KSTAR Tokamak.

Physical review letters·2019
Same journal

2nd annual International Symposium on Pediatric Neuro-Oncology. Philadelphia, Pa, May 24-26, 1990. Abstracts.

Pediatric neuroscience·1989
Same journal

Intracranial lymphoblastic sarcoma mimicking a primary brain tumor.

Pediatric neuroscience·1989
Same journal

Delayed cerebrospinal-fluid shunt infection in children.

Pediatric neuroscience·1989
Same journal

Candida albicans shunt infection.

Pediatric neuroscience·1989
Same journal

Intrauterine depressed skull fracture. A report of two cases.

Pediatric neuroscience·1989
Same journal

Cerebrospinal fluid shunt infections. Report of 41 cases and a critical review of the literature.

Pediatric neuroscience·1989
See all related articles

This study presents a mathematical model simulating ventricular volume regulation. The model accurately predicts how conditions like hydrocephalus and tumors affect cerebrospinal fluid dynamics and ventricular size.

Area of Science:

  • Biomedical Engineering
  • Fluid Mechanics
  • Neuroscience

Background:

  • Ventricular volume regulation is complex, involving cerebrospinal fluid (CSF) dynamics.
  • Understanding pathological changes in ventricular volume is crucial for diagnosing and treating neurological conditions.

Purpose of the Study:

  • To develop a systems engineering-based mathematical model of ventricular volume regulation.
  • To utilize the model for computer simulations to explore the pathophysiology of various neurological conditions.

Main Methods:

  • Constructed a mathematical model based on fluid mechanical principles and systems engineering.
  • Incorporated parameters from clinical observations and laboratory investigations.
  • Developed a computer simulation for testing hypotheses and predicting ventricular behavior.

Related Experiment Videos

Main Results:

  • The model predicted that excess CSF production (e.g., choroid plexus papilloma) can distend ventricles.
  • Simulated pseudotumor cerebri showed increased intracranial pressure and diminished ventricular volume when CSF absorption is impaired and the brain is incompressible.
  • Simulated normal-pressure hydrocephalus demonstrated increased ventricular volume with minimal ICP rise when CSF flow is restricted and the brain is compressible.

Conclusions:

  • The mathematical model and simulation effectively predict cerebral ventricular volume changes under various pathological conditions.
  • This approach offers a valuable tool for understanding the mechanisms behind conditions affecting CSF dynamics and ventricular size.