Generating dynamic carbon-dioxide traces from respiration-belt recordings: Feasibility using neural networks and application in functional magnetic resonance imaging

Generating dynamic carbon-dioxide traces from respiration-belt recordings: Feasibility using neural networks and application in functional magnetic resonance imaging

IntroductionIn the context of functional magnetic resonance imaging (fMRI), carbon dioxide (CO2) is a well-known vasodilator that has been widely used to monitor and interrogate vascular physiology. Moreover, spontaneous fluctuations in end-tidal carbon dioxide (PETCO2) reflects changes in arterial...

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Bibliographic Details
Main Authors: Vismay Agrawal, Xiaole Z. Zhong, J. Jean Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neuroimaging
Subjects:
deep learning
fully convoluted neural network
carbon dioxide
respiratory variability
functional MRI
physiological signal analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fnimg.2023.1119539/full

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https://www.frontiersin.org/articles/10.3389/fnimg.2023.1119539/full

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