ArticleAcademic radiology2014
Practical steps for applying a new dynamic model to near-infrared spectroscopy measurements of hemodynamic oscillations and transient changes: implications for cerebrovascular and functional brain studies.
Article in Academic radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Assessment of cerebral autoregulation and cerebral perfusion in patients with sickle cell disease using frequency-domain near-infrared spectroscopy.Journal of applied physiology (Bethesda, Md. : 1985) · 2025Article
- Evaluation of calibrated and uncalibrated optical imaging approaches for relative cerebral oxygen metabolism measurements in awake mice.Physiological measurement · 2024Article
- Changes in neurovascular coupling with cerebral perfusion pressure indicate a link to cerebral autoregulation.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Cerebrovascular Reactivity Measurement with Functional Near Infrared Spectroscopy.Journal of visualized experiments : JoVE · 2022Article
- Basic Examination of Haemoglobin Phase of Oxygenation and Deoxygenation in Resting State and Task Periods in Adults Using fNIRS.Advances in experimental medicine and biology · 2022Article
- Sensitivity of frequency-domain optical measurements to brain hemodynamics: simulations and human study of cerebral blood flow during hypercapnia.Biomedical optics express · 2021Article
- Noninvasive Optical Measurements of Dynamic Cerebral Autoregulation by Inducing Oscillatory Cerebral Hemodynamics.Frontiers in neurology · 2021Article
- Algorithm for Determination of Thresholds of Significant Coherence in Time-Frequency Analysis.Biomedical signal processing and control · 2020Article
- Assessment of cerebrovascular dysfunction after traumatic brain injury with fMRI and fNIRS.NeuroImage. Clinical · 2020Article
- Phase dual-slopes in frequency-domain near-infrared spectroscopy for enhanced sensitivity to brain tissue: First applications to human subjects.Journal of biophotonics · 2020Article
- Quantitative measurements of cerebral blood flow with near-infrared spectroscopy.Biomedical optics express · 2019Article
- A Bayesian framework for the analysis of systems biology models of the brain.PLoS computational biology · 2019Article
- Article
- Perspective: Prospects of non-invasive sensing of the human brain with diffuse optical imaging.APL photonics · 2018Article
- The meaning of "coherent" and its quantification in coherent hemodynamics spectroscopy.Journal of innovative optical health sciences · 2018Article
- Noninvasive optical monitoring of critical closing pressure and arteriole compliance in human subjects.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017Article
- Noninvasive Neuromonitoring: Current Utility in Subarachnoid Hemorrhage, Traumatic Brain Injury, and Stroke.Neurocritical care · 2017Review
- Correlation between Cerebral Hemodynamic and Perfusion Pressure Changes in Non-Human Primates.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- A machine learning approach to identify functional biomarkers in human prefrontal cortex for individuals with traumatic brain injury using functional near-infrared spectroscopy.Brain and behavior · 2016Article
- Optical oximetry of volume-oscillating vascular compartments: contributions from oscillatory blood flow.Journal of biomedical optics · 2016Article
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5 authors.
Funding
Abstract
RATIONALE AND
objectivesPerturbations in cerebral blood volume (CBV), blood flow (CBF), and metabolic rate of oxygen (CMRO2) lead to associated changes in tissue concentrations of oxy- and deoxy-hemoglobin (ΔO and ΔD), which can be measured by near-infrared spectroscopy (NIRS). A novel hemodynamic model has been introduced to relate physiological perturbations and measured quantities. We seek to use this model to determine functional traces of cbv(t) and cbf(t) - cmro2(t) from time-varying NIRS data, and cerebrovascular physiological parameters from oscillatory NIRS data (lowercase letters denote the relative changes in CBV, CBF, and CMRO2 with respect to baseline). Such a practical implementation of a quantitative hemodynamic model is an important step toward the clinical translation of NIRS. MATERIALS AND
methodsIn the time domain, we have simulated O(t) and D(t) traces induced by cerebral activation. In the frequency domain, we have performed a new analysis of frequency-resolved measurements of cerebral hemodynamic oscillations during a paced breathing paradigm.
resultsWe have demonstrated that cbv(t) and cbf(t) - cmro2(t) can be reliably obtained from O(t) and D(t) using the model, and that the functional NIRS signals are delayed with respect to cbf(t) - cmro2(t) as a result of the blood transit time in the microvasculature. In the frequency domain, we have identified physiological parameters (e.g., blood transit time, cutoff frequency of autoregulation) that can be measured by frequency-resolved measurements of hemodynamic oscillations.
conclusionsThe ability to perform noninvasive measurements of cerebrovascular parameters has far-reaching clinical implications. Functional brain studies rely on measurements of CBV, CBF, and CMRO2, whereas the diagnosis and assessment of neurovascular disorders, traumatic brain injury, and stroke would benefit from measurements of local cerebral hemodynamics and autoregulation.
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