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The human olfactory system is understood to be much more than a sensory system because olfaction also plays an important role in homeostatic regulation and emotions. Clinically, the human olfactory system is known to be vulnerable to attacks of many prevalent neurological diseases and psychiatric disorders, such as Alzheimer's disease, Parkinson's disease, post-traumatic stress disorder, and depression1,2,3,4,5. Currently, functional magnetic resonance imaging (fMRI) with blood-oxygen-level-dependent (BOLD) contrast is the most valuable technique for mapping functions of the human brain. A significant amount of knowledge about specific functions of central olfactory structures (e.g., piriform cortex, orbitofrontal cortex, amygdala, and insular cortex) has been acquired with this technique6,7,8,9,10.
The application of fMRI to studies of the human central olfactory system and associated diseases, however, has been hindered by two major obstacles: rapid habituation of BOLD signal and variable modulation by respiration. In everyday life, when exposed to an odorant for a period of time, we quickly habituate to the scent. In fact, when studied using olfactory fMRI, the odor-induced fMRI signal is rapidly attenuated by habituation, which poses a challenge on stimulation paradigm designs8,10,11,12,13,14. The initial significant BOLD signal in the primary olfactory cortex only persists for several seconds after odorant onset. Therefore, olfactory fMRI paradigms should avoid prolonged or frequent odor stimulations in a short period of time. To reduce the habituation effect, some studies have attempted to present alternating odors in an fMRI paradigm. However, this approach may complicate data analysis since each odorant can be treated as an independent stimulation event.
Another technical issue arises with variability in subjects' respiration patterns; inhalation does not always synchronize with odorant administration during a fixed-timing paradigm. The onset and duration of olfactory stimulation are modulated by each individual's respiration, which confounds fMRI data quality and analysis. Some studies have attempted to mitigate this problem with visual or auditory cues to synchronize breathing and odorant onset, but the compliance of subjects is variable, especially in the clinical population. The brain activations associated with these cues could also complicate data analysis in certain applications. Thus, synchronizing inhalation with odorant delivery can be crucial for olfactory fMRI studies15.
An additional consideration vital to olfactory fMRI, especially in the data analysis process, is odorant selection. Finding an appropriate odorant concentration with respect to perceived intensity is important for quantification and comparison of activation levels in the brain under various experimental conditions or diseases. Odorant selection must also take into consideration odor valence, or pleasantness. This is known to cause divergent temporal profiles in olfactory learning16,17. Lavender odor was chosen for this demonstration partially for this reason. Depending on the purpose of a specific study, different odorants may be better choices. In addition, trigeminal stimulation must be minimized to reduce activation not directly related to olfaction18.
In this report, we demonstrate an fMRI technique to set up and run a respiration-triggered paradigm using an olfactometer in the magnetic resonance environment. We also present a post-processing tool that can diminish some timing errors that may have occurred during data acquisition in an attempt to further improve data analysis.