From Light to Insight: Hemodynamic Models for Optical Monitoring of the Brain in Cardiac Arrest Article Swipe
Nima Soltani
,
Vladislav Toronov
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/app152212260
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/app152212260
Optical neuromonitoring has matured from descriptive oxygenation trends to model-informed quantification of cerebral physiology. This review synthesizes evidence on near-infrared spectroscopy (NIRS), diffuse correlation spectroscopy (DCS), and laser Doppler flowmetry (LDF) for monitoring cerebral blood flow (CBF), blood volume (CBV), and cerebral metabolic rate of oxygen (CMRO2) during cardiac arrest (CA) and cardiopulmonary resuscitation (CPR). We focus on using hemo-metabolic models, especially Coherent Hemodynamic Spectroscopy (CHS) and the BrainSignals models, as a framework to explain what optical signals do (and do not) tell us about microvascular oxygen transport and mitochondrial metabolism. We compare linear vs. non-linear CHS formulations for large perturbations (e.g., CA/CPR), summarize emerging depth-sensitivity and extracerebral-signal suppression strategies, and outline how DCS pairs with NIRS to link oxygen delivery with use. Across animal and human studies, we highlight convergent patterns (rapid oxygenation collapse, partial reperfusion during CPR, lagging metabolic recovery), recurring limitations (extracerebral contamination, calibration to absolutes, motion), and standardization efforts required for translation. We conclude with a pragmatic roadmap for bedside implementation: harmonized physiological endpoints (CBF, CMRO2, rCCO), reporting standards, and model-informed thresholds to guide resuscitation. This review aims to bridge instrumentation, physiology, and modeling to enhance neuroprotective care in CA/CPR.
Related Topics
Concepts
Medicine
Cardiopulmonary resuscitation
Oxygenation
Cardiology
Cerebral blood flow
Laser Doppler velocimetry
Oxygen metabolism
Hemodynamics
Cerebral blood volume
Internal medicine
Oxygen delivery
Resuscitation
Lagging
Blood flow
Neuroscience
Blood oxygenation
Neuroprotection
Intensive care medicine
Anesthesia
Intensive care
Stroke volume
Ischemia
Human studies
Stroke (engine)
Metabolic rate
Blood volume
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app152212260
- https://www.mdpi.com/2076-3417/15/22/12260/pdf?version=1763523632
- OA Status
- gold
- References
- 111
- OpenAlex ID
- https://openalex.org/W7105980946
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7105980946Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app152212260Digital Object Identifier
- Title
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From Light to Insight: Hemodynamic Models for Optical Monitoring of the Brain in Cardiac ArrestWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-11-19Full publication date if available
- Authors
-
Nima Soltani, Vladislav ToronovList of authors in order
- Landing page
-
https://doi.org/10.3390/app152212260Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/15/22/12260/pdf?version=1763523632Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/15/22/12260/pdf?version=1763523632Direct OA link when available
- Concepts
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Medicine, Cardiopulmonary resuscitation, Oxygenation, Cardiology, Cerebral blood flow, Laser Doppler velocimetry, Oxygen metabolism, Hemodynamics, Cerebral blood volume, Internal medicine, Oxygen delivery, Resuscitation, Lagging, Blood flow, Neuroscience, Blood oxygenation, Neuroprotection, Intensive care medicine, Anesthesia, Intensive care, Stroke volume, Ischemia, Human studies, Stroke (engine), Metabolic rate, Blood volumeTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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111Number of works referenced by this work
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