Assessment of Hyperacute Cerebral Ischemia Using Laser Speckle Contrast Imaging

Bochao Niu, Guan Sihai, Hongyan Gong, Peng Hu, Pushti Shah, Xiqin Liu, Yang Xia, Dezhong Yao, Benjamin Klugah-Brown, Bharat Biswal

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Accurate diagnosis of cerebral ischemia severity is crucial for clinical decision making. Laser speckle contrast imaging-based cerebral blood flow imaging can help assess the severity of cerebral ischemia by monitoring changes in blood flow. Method: In this study, we simulated hyperacute ischemia in rats, isolating arterial and venous flow-related signals from cortical vasculature. Pearson correlation was used to examine the correlation between damaged vessels. Granger causality analysis was used to investigate causality correlation in ischemic vessels. Results: Resting state analysis revealed a negative Pearson correlation between regional arteries and veins. Following cerebral ischemia induction, a positive artery-vein correlation emerged, which vanished after blood flow reperfusion. Granger causality analysis demonstrating enhanced causality coefficients for middle artery-vein pairs during occlusion, with a stronger left-right arterial effect than that of right-left, which persisted after reperfusion. Conclusions: These processing approaches amplify the understanding of cerebral ischemic images, promising potential future diagnostic advancements.

Original languageEnglish (US)
Pages (from-to)459-470
Number of pages12
JournalBrain connectivity
Volume14
Issue number9
DOIs
StatePublished - Nov 1 2024

All Science Journal Classification (ASJC) codes

  • General Neuroscience

Keywords

  • arterial and venous signals
  • causality analysis
  • cerebral blood flow
  • hyperacute cerebral ischemia
  • Pearson correlation

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