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Related Concept Videos

Ischemic Stroke l: Introduction01:15

Ischemic Stroke l: Introduction

Ischemic stroke is an acute cerebrovascular condition in which blood flow to a brain region is suddenly interrupted, leading to tissue infarction. Neurons depend on continuous oxygen and glucose supply, so even brief reductions in perfusion cause energy failure, ionic imbalance, and irreversible injury. Ischemic strokes are classified into thrombotic and embolic types based on their underlying mechanisms.Thrombotic MechanismsThrombotic stroke develops when a clot forms within a cerebral artery.
Ischemic Stroke ll: Pathophysiology01:15

Ischemic Stroke ll: Pathophysiology

An ischemic stroke occurs when a cerebral blood vessel becomes obstructed, most often by a thrombus or embolus, interrupting the delivery of oxygen and glucose to brain tissue. Because neurons rely on continuous aerobic metabolism, energy failure begins within minutes of reduced perfusion. The region receiving the least blood flow becomes the infarct core, an area of irreversible cellular death. Surrounding this core lies the penumbra, a zone of hypoperfused but still viable tissue that is...
Hemorrhagic Stroke ll: Pathophysiology01:29

Hemorrhagic Stroke ll: Pathophysiology

A hemorrhagic stroke develops when a cerebral blood vessel ruptures, allowing blood to escape into the surrounding brain tissue, as in intracerebral hemorrhage (ICH), or into the subarachnoid space, as in subarachnoid hemorrhage (SAH). Because the skull is a rigid compartment, the sudden presence of extravascular blood rapidly increases intracranial pressure and compresses adjacent neural structures, leading to immediate tissue injury and impaired cerebral perfusion.Mass Effect and Primary...

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Related Experiment Video

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A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
06:01

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Published on: August 18, 2015

Revealing the mechanisms underlying embolic stroke using computational modelling.

Emma M L Chung1, James P Hague, David H Evans

  • 1Medical Physics Department, University Hospitals of Leicester NHS Trust, Leicester, UK. emlcl@le.ac.uk

Physics in Medicine and Biology
|November 22, 2007
PubMed
Summary

Computational models predict arterial blockages in the brain, aiding stroke prevention. Simulations show embolus properties non-linearly affect obstruction, with distinct injury patterns for solid versus gas emboli.

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Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Neurology

Background:

  • Stroke prevention relies on understanding arterial blockages.
  • Emboli, such as particles or gas bubbles, can obstruct cerebral arteries.
  • Predictive models are needed for advanced clinical monitoring.

Purpose of the Study:

  • To develop a computational model of embolus interactions within cerebral vasculature.
  • To investigate the effects of embolus properties on microvascular obstruction.
  • To predict injury patterns and inform stroke prevention strategies.

Main Methods:

  • Created a computer model of a fractal arterial tree with over a million branches.
  • Utilized Monte Carlo simulations to model embolus motion and interactions.
  • Evaluated effects of embolus size, clearance time, and embolization rate.

Main Results:

  • Demonstrated a non-linear relationship between embolus properties and vascular obstruction.
  • Identified critical thresholds for embolus size and embolization rate causing severe blockages.
  • Predicted distinct cerebral injury patterns for solid (focal, persistent) and gaseous (diffuse, transient) emboli.

Conclusions:

  • Computational embolization simulations offer a novel approach to studying neurological injury.
  • Model predictions align with clinical observations of embolus-induced damage.
  • Embolus fragmentation significantly reduces the impact of solid emboli, suggesting a potential therapeutic avenue.