Detecting and correcting fMRI distortions caused by arousal fluctuations

In a new study, investigators from McLean Hospital (a member of Mass General Brigham), Harvard Medical School and the National Institute on Drug Abuse – Intramural Research Program (NIDA-IRP) discovered that the tendency of people's arousal to wane over the course of brain scans has been distorting the brain connection maps produced by functional magnetic resonance imaging (fMRI). The team found that as people's arousal levels dwindle during an fMRI, such as if they become more relaxed and sleepy, changes in breathing and heart rates alter blood oxygen levels in the brain -; which are then falsely detected on the scan as neuronal activity.

You're laying down in a snug scanner for quite some time, often with only a low-engagement button press task to attend to or nothing to do at all, as the scanner monotonously hums and vibrates around you. These arousal-dampening conditions create the illusion that people's brain connection strengths continuously inflate throughout the scan"

Cole Korponay, PhD, first author, research fellow at the McLean Hospital Imaging Center

fMRI scans are commonly used to non-invasively map brain connectivity in a variety of situations, including planning for surgery, understanding the impact of a stroke, and studying how mental illness affects neurological function. However, since fMRI relies on changes in brain blood oxygen to indirectly measure neuronal activity, it is vulnerable to "noise" from other processes that can affect blood oxygen – such as changes in breathing and heart rates. And because breathing and heart rate patterns are closely tied to arousal levels, changes in arousal can introduce significant noise into fMRI data. Problematically, the conditions of an fMRI scan tend to progressively lull people into lower arousal states.

In the present study, the research team identified a specific blood flow signal that seemed to track both the decline in subject arousal levels and the illusory inflation of functional brain connection strengths. This non-neuronal, physiological noise signal – termed the "systemic low frequency oscillation" (sLFO) signal – grew over time during scanning, in a spatial and temporal pattern that tightly matched the pattern of the connection strength increases. The researchers then demonstrated that a method called RIPTiDe, developed by co-senior author Blaise Frederick PhD, an associate biophysicist at the McLean Imaging Center, to remove the sLFO signal from fMRI data, was able to eliminate the illusory connection strength increases.

"By adopting this sLFO denoising procedure, future studies can mitigate the distortive effects of arousal changes during brain scans and enhance the validity and reliability of fMRI findings," said Korponay.

This research was supported by the National Institute on Drug Abuse, the National Institute of Mental Health, and the National Institute on Aging, all part of the National Institutes of Health, under grant award numbers 5R01DA039135-06, 1RF1MH130637-01, and 1R21AG070383-01.