Investigators : Caroline Huart, Philippe Rombaux, André Mouraux.
Compared to other sensory modalities, the physiology and pathophysiology of olfaction remains poorly explored in humans. Yet, olfactory disorders are common in the general population, affecting up to 20% of the population. Over the recent years, the recording of ERPs triggered by the transient presentation of odorants has been receiving strong and increasing interest. The approach is not only of interest for basic researchers aiming to characterize the cortical representation of odors in humans. Indeed, it is also of great interest for clinicians currently needing objective and robust tools to diagnose disorders of olfaction. In addition, the recording of chemosensory ERPs could contribute to the early diagnosis of neurodegenerative disorders in which olfactory dysfunction is thought to constitute an early and specific sign, in particular, Alzheimer’s disease. Unfortunately, olfactory chemosensory ERPs exhibit a very low signal-to-noise ratio. Hence, although the technique is recognized as having great potential, its current usefulness remains very limited, particularly in the context of clinical diagnosis.
In a first project, we hypothesized that the low signal-to-noise ratio of chemosensory ERPs could at least in part be due to an important amount of temporal jitter affecting the brain responses to chemosensory stimulation, itself due to the number of steps required for transduction of the chemosensory stimulus into a neural impulse. For this reason, we developed an approach to reveal olfactory EEG responses that are not strictly phase-locked to the onset of the stimulus, using a method based on the continuous wavelet transform. We found that this approach significantly enhances the signal-to-noise ratio of the elicited responses, and discloses an important fraction of the cortical activity to chemosensory stimulation that is lost by conventional time-domain averaging. By providing a more complete view of how odors are represented in the human brain, we believe that our approach could constitute the basis for a robust clinical tool to assess olfaction in humans.