Literature DB >> 10207654

Pathogenic mechanisms in ischemic damage: a computational study.

E Ruppin1, E Ofer, J A Reggia, K Revett, S Goodall.   

Abstract

The pathogenesis of penumbral tissue infarction during acute ischemic stroke is controversial. This peri-infarct tissue may subsequently die, or survive and recuperate, and its preservation has been a prime goal of recent therapeutic trials in acute stroke. Two major hypotheses currently under consideration are that penumbral tissue is recruited into an infarct by cortical spreading depression (CSD) waves, or by a non-wave self-propagating process such as glutamate excitotoxicity (GE). Careful experimental attempts to discriminate between these two hypotheses have so far been quite ambiguous. Using a computational metabolic model of acute focal stroke we show here that the spatial patterns of tissue damage arising from artificially induced foci of infarction having specific geometric shapes are inherently different. This is due to the distinct propagation characteristics underlying self-regenerating waves and non-wave diffusional processes. The experimental testing of these predicted spatial patterns of damage may help determine the relative contributions of the two pathological mechanisms hypothesized for ischemic tissue damage.

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Year:  1999        PMID: 10207654     DOI: 10.1016/s0010-4825(98)00044-4

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  4 in total

1.  Computer modeling of ischemic stroke.

Authors:  Alexandra H Seidenstein; Frank C Barone; William W Lytton
Journal:  Scholarpedia J       Date:  2015

2.  A porous circulation model of the human brain for in silico clinical trials in ischaemic stroke.

Authors:  T I Józsa; R M Padmos; N Samuels; W K El-Bouri; A G Hoekstra; S J Payne
Journal:  Interface Focus       Date:  2020-12-11       Impact factor: 3.906

3.  Determining Clinically-Viable Biomarkers for Ischaemic Stroke Through a Mechanistic and Machine Learning Approach.

Authors:  Ivan Benemerito; Ana Paula Narata; Andrew Narracott; Alberto Marzo
Journal:  Ann Biomed Eng       Date:  2022-04-01       Impact factor: 4.219

4.  On the Sensitivity Analysis of Porous Finite Element Models for Cerebral Perfusion Estimation.

Authors:  T I Józsa; R M Padmos; W K El-Bouri; A G Hoekstra; S J Payne
Journal:  Ann Biomed Eng       Date:  2021-06-21       Impact factor: 3.934

  4 in total

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