Abstract 4368147: Evidence of Cerebral Vascular Stunning Following Ischemic Stroke Revealed by Myogenic Oscillatory Activity in Rats

Introduction: Cerebral blood flow (CBF) signals contain physiological information about the dynamics of the heart, brain, and their interaction during ischemic stroke. Traditional frequency-based analyses may miss critical dynamic changes due to inter-subject variability. We hypothesize that a time-frequency approach can extract more detailed information from CBF’s physiological frequency bands to better detect stroke-induced cerebral hemodynamic changes. This study applies empirical mode decomposition (EMD) and the Hilbert transform to extract dynamic-specific features from CBF signals in a rat stroke model. Methods: Sixteen rats underwent transient right middle cerebral artery (MCA) occlusion, with CBF recorded continuously from the right cortex. 5-minute CBF recordings were analyzed at three timepoints: baseline, 1 hour post-MCA occlusion, and 3 hours post-reperfusion. EMD decomposed each signal into 13 intrinsic mode functions (IMFs), with instantaneous frequencies extracted via the Hilbert transform. IMFs were then recombined into five physiological bands: cardiac (~2–5 Hz), respiratory (~0.4-2 Hz), myogenic (~0.15-0.4 Hz), sympathetic (~0.04-0.15 Hz), and endothelial (~0.0095-0.04 Hz). The Hilbert transform was then applied to each band to compute a 95% area metric (CBF 95%-Area Index) from the analytic signal’s complex-plane trajectory. Statistical tests compared physiological states across timepoints. P-value < 0.05 was considered significant. Results: The myogenic band (~0.15-0.4 Hz), associated with vascular smooth muscle activity, showed a significant reduction in the 95% area metric from baseline to occlusion (p<0.0001), and from baseline to reperfusion (p<0.05). No significant change between occlusion and reperfusion, suggesting persistent suppression of myogenic vasomotion during early reperfusion. Other bands showed minor or nonsignificant changes. Conclusion: Persistent myogenic oscillatory suppression during early reperfusion suggests a form of cerebral vascular stunning, analogous to stunned myocardium, where contractile function remains impaired despite restored perfusion. This may represent post-ischemic vascular dysfunction in the brain. Alternatively, it may reflect a microvascular no-reflow phenomenon within the cerebral circulation. Frequency-resolved CBF analysis offers a noninvasive approach to detect reperfusion-related vascular dysfunction, with the potential to guide acute stroke therapies and improve cerebrovascular outcomes.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4368147
Primary Topic
Functional Brain Connectivity Studies
Type
article
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article

Abstract 4368147: Evidence of Cerebral Vascular Stunning Following Ischemic Stroke Revealed by Myogenic Oscillatory Activity in Rats

Wangde Dai, Niema M. Pahlevan, Rashid Alavi, Robert A. Kloner et al.
Circulation
Functional Brain Connectivity Studies
article

Abstract 4368147: Evidence of Cerebral Vascular Stunning Following Ischemic Stroke Revealed by Myogenic Oscillatory Activity in Rats

Wangde Dai, Niema M. Pahlevan, Rashid Alavi, Robert A. Kloner, Juan Carreno, Jiajun Li
article en

Abstract

Introduction: Cerebral blood flow (CBF) signals contain physiological information about the dynamics of the heart, brain, and their interaction during ischemic stroke. Traditional frequency-based analyses may miss critical dynamic changes due to inter-subject variability. We hypothesize that a time-frequency approach can extract more detailed information from CBF’s physiological frequency bands to better detect stroke-induced cerebral hemodynamic changes. This study applies empirical mode decomposition (EMD) and the Hilbert transform to extract dynamic-specific features from CBF signals in a rat stroke model. Methods: Sixteen rats underwent transient right middle cerebral artery (MCA) occlusion, with CBF recorded continuously from the right cortex. 5-minute CBF recordings were analyzed at three timepoints: baseline, 1 hour post-MCA occlusion, and 3 hours post-reperfusion. EMD decomposed each signal into 13 intrinsic mode functions (IMFs), with instantaneous frequencies extracted via the Hilbert transform. IMFs were then recombined into five physiological bands: cardiac (~2–5 Hz), respiratory (~0.4-2 Hz), myogenic (~0.15-0.4 Hz), sympathetic (~0.04-0.15 Hz), and endothelial (~0.0095-0.04 Hz). The Hilbert transform was then applied to each band to compute a 95% area metric (CBF 95%-Area Index) from the analytic signal’s complex-plane trajectory. Statistical tests compared physiological states across timepoints. P-value < 0.05 was considered significant. Results: The myogenic band (~0.15-0.4 Hz), associated with vascular smooth muscle activity, showed a significant reduction in the 95% area metric from baseline to occlusion (p<0.0001), and from baseline to reperfusion (p<0.05). No significant change between occlusion and reperfusion, suggesting persistent suppression of myogenic vasomotion during early reperfusion. Other bands showed minor or nonsignificant changes. Conclusion: Persistent myogenic oscillatory suppression during early reperfusion suggests a form of cerebral vascular stunning, analogous to stunned myocardium, where contractile function remains impaired despite restored perfusion. This may represent post-ischemic vascular dysfunction in the brain. Alternatively, it may reflect a microvascular no-reflow phenomenon within the cerebral circulation. Frequency-resolved CBF analysis offers a noninvasive approach to detect reperfusion-related vascular dysfunction, with the potential to guide acute stroke therapies and improve cerebrovascular outcomes.

CirculationVol. 152(Suppl_3)
University of Southern California (US), California Institute of Technology (US), Huntington Medical Research Institutes (US)
Openalex Percentile: Top 68%
Functional Brain Connectivity Studies
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