A computational model for blood perfusion in ischemic strokes

Lanhua Zhang (), Tao Wang (), Mingfeng Yang (), Shaowei Xue (), Yujuan Li (), Mei Wang () and Baoliang Sun
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Lanhua Zhang: College of Medical Information and Engineering, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, Shandong 271016, P. R. China
Tao Wang: #x2020;Department of Neurology, Taian City Central Hospital, Tai’an, Shandong 271000, P. R. China
Mingfeng Yang: #x2021;Key Lab of Cerebral Microcirculation in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, Shandong 271016, P. R. China
Shaowei Xue: #xA7;Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou Normal University, Hangzhou, Zhejiang 310036, P. R. China
Yujuan Li: College of Medical Information and Engineering, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, Shandong 271016, P. R. China
Mei Wang: College of Medical Information and Engineering, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, Shandong 271016, P. R. China
Baoliang Sun: #x2021;Key Lab of Cerebral Microcirculation in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, Shandong 271016, P. R. China

International Journal of Modern Physics C (IJMPC), 2020, vol. 31, issue 05, 1-15

Abstract: Quantitative analysis is vital for blood perfusion in ischemic stroke validating and predicting blood trend to refer and remedy on selection, operation and intervention. We leveraged the complex network modeling blood perfusion to pursue the changes and trends of blood flow in ischemic stroke. According to conversion of the flow chart from laser Doppler perfusion images of rats into the correlation matrix, the blood perfusion networks were formed and topology characters were quantitatively analyzed. The results verified the steal phenomenon and the compensatory ability in the vessel injury in accord with clinical indexes by the basic characters and efficiency, especially the interesting local efficiency. In addition, the outcomes exhibited consistently the small-world characters in the brain of rats. This computational model strengthened the new way of blood perfusion and potential predictions for stroke’s assessment, operation and prevention from the basic vascular dynamic indexes and complex networks.

Keywords: Complex networks; ischemic stroke; blood perfusion; small world; collateral circulation (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0129183120500643

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