Respiration recording for fMRI: breathing belt versus spine coil sensor

Abstract

Physiological signals such as pulse and respiration strongly contribute to non-neuronal signal change of the blood oxygenation level-dependent (BOLD) contrast in functional magnetic resonance imaging (fMRI). This has been observed not only during task-based but also during resting-state fMRI measurements, where the confounding influence of physiological signals is most pronounced. Over the last decades, a variety of techniques evolved, aiming at detecting and removing physiological artifacts in fMRI time series. These follow either a solely data-driven approach or rely on externally recorded physiological data. To record cardiac and respiratory signals, typically pulse oximetry or electrocardiography (ECG) and a respiration belt are used, respectively. New technologies allow to capture respiratory signal directly with a sensor placed within the spine coil in the patient table, eliminating the need of a respiration belt, which considerably increases participants comfort. However, little is known about the effectiveness of these new technologies and how they compare to the standard respiration belt recording. In the current study, we compared the two devices, respiration belt and spine coil sensor, in their suitability for physiological noise removal during a visual perception task and during rest. We did not find any differences in resting-state functional connectivity (RSFC) or stimulus-related activity between data corrected with the two recording devices. However, we did find reduced residual noise in the time series corrected with spine coil-derived respiration signals compared to belt-based corrected data in the task dataset. Our results show that spine coil- derived respiration recordings are slightly superior to belt respiration recordings for physiological noise removal in task-induced activity, with spine coil recordings having an additional advantage in terms of subject comfort.