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Related Concept Videos

Ischemic Stroke l: Introduction01:15

Ischemic Stroke l: Introduction

44
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.
44
Ischemic Stroke ll: Pathophysiology01:15

Ischemic Stroke ll: Pathophysiology

54
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...
54

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Related Experiment Video

Updated: May 5, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

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Individualized prescriptive inference in ischaemic stroke.

Dominic Giles1, Chris Foulon2, Guilherme Pombo2

  • 1UCL Queen Square Institute of Neurology, University College London, London, UK. dominic.giles@ucl.ac.uk.

Nature Communications
|October 16, 2025
PubMed
Summary
This summary is machine-generated.

Complex models improve individualized treatment for ischaemic stroke patients. Utilizing detailed brain lesion data enhances predictive accuracy over simpler methods, even with confounding factors.

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
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Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
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Area of Science:

  • Neuroscience
  • Medical Statistics
  • Computational Biology

Background:

  • Randomized controlled trials (RCTs) are the gold standard for ischaemic stroke treatment, often assuming population homogeneity.
  • Brain complexity (functional, connective, vascular) introduces heterogeneity, violating RCT assumptions and causing errors in treatment inference.
  • Quantifying the impact of this heterogeneity on interventional inference is challenging due to its counterfactual nature.

Purpose of the Study:

  • To evaluate the impact of complex modeling and detailed lesion data on individualized treatment prescriptions for ischaemic stroke.
  • To compare the accuracy of treatment effect estimation using models of varying complexity under confounded outcomes and noisy responses.
  • To determine if complex models can enhance prescriptive inference in ischaemic stroke, even with imperfect data.

Main Methods:

  • Conducted extensive semi-synthetic, biologically plausible virtual interventional trials (100M+ simulations).
  • Generated virtual trial data using meta-analytic data (connective, functional, genetic, receptor) and high-resolution acute ischaemic lesion maps (4K+).
  • Estimated treatment effects using models of differing complexity, incorporating confounding and response noise.

Main Results:

  • Individualized prescriptions from simple models (fitted to unconfounded data) were less accurate than those from complex models.
  • Complex models demonstrated superior accuracy even when fitted to confounded data.
  • Richly represented lesion data within complex models significantly improved individualized prescriptive inference.

Conclusions:

  • Complex modeling approaches incorporating detailed lesion data are crucial for accurate individualized treatment in ischaemic stroke.
  • Simple models and assumptions of homogeneity are insufficient for precise treatment recommendations in heterogeneous patient populations.
  • Advanced computational methods offer substantial potential to enhance clinical decision-making for ischaemic stroke patients.