2024
DOI: 10.1002/mrm.30330
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Machine learning‐based estimation of respiratory fluctuations in a healthy adult population using resting state BOLD fMRI and head motion parameters

Abdoljalil Addeh,
Fernando Vega,
Amin Morshedi
et al.

Abstract: PurposeExternal physiological monitoring is the primary approach to measure and remove effects of low‐frequency respiratory variation from BOLD‐fMRI signals. However, the acquisition of clean external respiratory data during fMRI is not always possible, so recent research has proposed using machine learning to directly estimate respiratory variation (RV), potentially obviating the need for external monitoring. In this study, we propose an extended method for reconstructing RV waveforms directly from resting st… Show more

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