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Estimating Resting HRV during fMRI: A Comparison between Laboratory and Scanner Environment

Andy Schumann, Stefanie Suttkus, Karl‐Jürgen Bär

2021Sensors11 citationsDOIOpen Access PDF

Abstract

Heart rate variability (HRV) is regularly assessed in neuroimaging studies as an indicator of autonomic, emotional or cognitive processes. In this study, we investigated the influence of a loud and cramped environment during magnetic resonance imaging (MRI) on resting HRV measures. We compared recordings during functional MRI sessions with recordings in our autonomic laboratory (LAB) in 101 healthy subjects. In the LAB, we recorded an electrocardiogram (ECG) and a photoplethysmogram (PPG) over 15 min. During resting state functional MRI, we acquired a PPG for 15 min. We assessed anxiety levels before the scanning in each subject. In 27 participants, we performed follow-up sessions to investigate a possible effect of habituation. We found a high intra-class correlation ranging between 0.775 and 0.996, indicating high consistency across conditions. We observed no systematic influence of the MRI environment on any HRV index when PPG signals were analyzed. However, SDNN and RMSSD were significantly higher when extracted from the PPG compared to the ECG. Although we found a significant correlation of anxiety and the decrease in HRV from LAB to MRI, a familiarization session did not change the HRV outcome. Our results suggest that psychological factors are less influential on the HRV outcome during MRI than the methodological choice of the cardiac signal to analyze.

Topics & Concepts

Heart rate variabilityResting state fMRIAnxietyMagnetic resonance imagingCardiologyFunctional magnetic resonance imagingNeuroimagingCorrelationHeart rateMedicinePsychologyPhotoplethysmogramHeartbeatInternal medicineAudiologyNeuroscienceRadiologyBlood pressureComputer sciencePsychiatryFilter (signal processing)GeometryComputer visionComputer securityMathematicsHeart Rate Variability and Autonomic ControlNon-Invasive Vital Sign MonitoringEEG and Brain-Computer Interfaces