Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Cerebral perfusion and metabolism coupling during a critical time window provides rapid assessment of cardiac arrest severity and prognosis in a preclinical model

R. H. Wilson, C. Crouzet, M. Torabzadeh, A. Bazrafkan, N. Maki, J. Alcocer, B. J. Tromberg, B. Choi, Y. Akbari
doi: https://doi.org/10.1101/785972
R. H. Wilson
1Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
C. Crouzet
1Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA 92612
2Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M. Torabzadeh
1Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA 92612
2Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A. Bazrafkan
3Department of Neurology, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
N. Maki
3Department of Neurology, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J. Alcocer
3Department of Neurology, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
B. J. Tromberg
1Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
B. Choi
1Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA 92612
2Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: yakbari@gmail.com
Y. Akbari
1Beckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, CA 92612
3Department of Neurology, University of California, Irvine, Irvine, CA 92612
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: yakbari@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Improved quantitative understanding of the dynamic relationship among cerebral blood flow, oxygen consumption, and electrical activity is important to clinicians treating acute brain injury. Such knowledge would elucidate the neurovascular response to ischemia, helping to potentially guide treatment. Using a multimodal optical imaging platform and a clinically-relevant rat model of cardiac arrest (CA) and cardiopulmonary resuscitation (CPR), we continuously measured cerebral blood flow (CBF), brain tissue oxygenation (StO2), cerebral metabolic rate of oxygen (CMRO2), and cerebral electrical activity (electrocorticography; ECoG). Multiple phases of cerebral hemodynamic recovery, with different degrees of mismatch between CBF and CMRO2, were observed following CPR. At 1 min post-resuscitation, we observed that the ratio CBF/CMRO2 is indicative of CA duration/severity and prognostic (with 87% accuracy) of short-term neurological recovery measured by the re-initiation of ECoG activity. These measurements provide the earliest known metrics for assessment of CA severity and prognosis post-CPR. Interestingly, the accuracy of this information is lost beyond 2-3 minutes post-CPR, highlighting a critical, easily overlooked, period immediately post-CPR. These metrics do not require pre-resuscitation data, underscoring translational potential in emergency-response settings when pre-CA information is unavailable. These metrics encourage validation in human studies, potentially offering real-time feedback during CA/CPR to optimize neurological outcome.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted September 30, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Cerebral perfusion and metabolism coupling during a critical time window provides rapid assessment of cardiac arrest severity and prognosis in a preclinical model
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Cerebral perfusion and metabolism coupling during a critical time window provides rapid assessment of cardiac arrest severity and prognosis in a preclinical model
R. H. Wilson, C. Crouzet, M. Torabzadeh, A. Bazrafkan, N. Maki, J. Alcocer, B. J. Tromberg, B. Choi, Y. Akbari
bioRxiv 785972; doi: https://doi.org/10.1101/785972
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Cerebral perfusion and metabolism coupling during a critical time window provides rapid assessment of cardiac arrest severity and prognosis in a preclinical model
R. H. Wilson, C. Crouzet, M. Torabzadeh, A. Bazrafkan, N. Maki, J. Alcocer, B. J. Tromberg, B. Choi, Y. Akbari
bioRxiv 785972; doi: https://doi.org/10.1101/785972

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4382)
  • Biochemistry (9591)
  • Bioengineering (7090)
  • Bioinformatics (24858)
  • Biophysics (12607)
  • Cancer Biology (9956)
  • Cell Biology (14349)
  • Clinical Trials (138)
  • Developmental Biology (7948)
  • Ecology (12105)
  • Epidemiology (2067)
  • Evolutionary Biology (15988)
  • Genetics (10925)
  • Genomics (14738)
  • Immunology (9869)
  • Microbiology (23660)
  • Molecular Biology (9484)
  • Neuroscience (50860)
  • Paleontology (369)
  • Pathology (1539)
  • Pharmacology and Toxicology (2682)
  • Physiology (4013)
  • Plant Biology (8657)
  • Scientific Communication and Education (1508)
  • Synthetic Biology (2394)
  • Systems Biology (6433)
  • Zoology (1346)