Characteristics of respiratory measures in young adults scanned at rest, including systematic changes and “missed” deep breaths

• Published in: NeuroImage (Orlando, Fla.) Vol. 204; p. 116234
• Main Authors: Power, Jonathan D., Lynch, Charles J., Dubin, Marc J., Silver, Benjamin M., Martin, Alex, Jones, Rebecca M.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.01.2020; Elsevier Limited; Elsevier
• Subjects: Abdomen; Adult; Air flow; Blood flow; Brain - diagnostic imaging; Brain - physiology; Carbon dioxide; Cerebral blood flow; Connectome - methods; Connectome - standards; Datasets; Female; Functional magnetic resonance imaging; Heart rate; Humans; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging - standards; Male; Physiology; Respiration; Respiratory Function Tests - methods; Respiratory Function Tests - standards; Rest - physiology; Young Adult; Young adults
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2019.116234

Breathing rate and depth influence the concentration of carbon dioxide in the blood, altering cerebral blood flow and thus functional magnetic resonance imaging (fMRI) signals. Such respiratory fluctuations can have substantial influence in studies of fMRI signal covariance in subjects at rest, the so-called “resting state functional connectivity” technique. If respiration is monitored during fMRI scanning, it is typically done using a belt about the subject’s abdomen to record abdominal circumference. Several measures have been derived from these belt records, including the windowed envelope of the waveform (ENV), the windowed variance in the waveform (respiration variation, RV), and a measure of the amplitude of each breath divided by the cycle time of the breath (respiration volume per time, RVT). Any attempt to gauge respiratory contributions to fMRI signals requires a respiratory measure, but little is known about how these measures compare to each other, or how they perform beyond the small studies in which they were initially proposed. Here, we examine the properties of these measures in hundreds of healthy young adults scanned for an hour each at rest, a subset of the Human Connectome Project chosen for having high-quality physiological records. We find: 1) ENV, RV, and RVT are all correlated, and ENV and RV are more highly correlated to each other than to RVT; 2) respiratory events like deep breaths exhibit characteristic heart rate elevations, fMRI signal changes, head motions, and image quality abnormalities time-locked to large deflections in the belt traces; 3) all measures can “miss” deep breaths; 4) RVT “misses” deep breaths more than ENV or RV; 5) all respiratory measures change systematically over the course of a 14.4-min scan. We discuss the implications of these findings for the literature and ways to move forward in modeling respiratory influences on fMRI scans. •Data are resting state fMRI scans in healthy young adults.•Examines respiratory belt records and derived measures ENV, RV, and RVT.•All respiratory measures “miss” deep breaths, RVT more than others.•Deep breaths exhibit characteristic heart rate and fMRI signal changes.•All respiratory measures change systematically over 14.4 min scans.