Author:
Ninenko Ivan,Kleeva Daria F.,Bukreev Nikita,Lebedev Mikhail A.
Abstract
Electroencephalography (EEG) correlates of olfaction are of fundamental and practical interest for many reasons. In the field of neural technologies, olfactory-based brain-computer interfaces (BCIs) represent an approach that could be useful for neurorehabilitation of anosmia, dysosmia and hyposmia. While the idea of a BCI that decodes neural responses to different odors and/or enables odor-based neurofeedback is appealing, the results of previous EEG investigations into the olfactory domain are rather inconsistent, particularly when non-primary processing of olfactory signals is concerned. Here we developed an experimental paradigm where EEG recordings are conducted while a participant executes an olfaction-based instructed-delay task. We utilized an olfactory display and a sensor of respiration to deliver odors in a strictly controlled fashion. We showed that with this approach spatial and spectral EEG properties could be analyzed to assess neural processing of olfactory stimuli and their conversion into a motor response. We conclude that EEG recordings are suitable for detecting active processing of odors. As such they could be integrated in a BCI that strives to rehabilitate olfactory disabilities or uses odors for hedonistic purposes.
Subject
Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology
Reference36 articles.
1. EEG-based classification of olfactory response to pleasant stimuli;Abbasi;Proceedings 41st annual international conference of the IEEE engineering in medicine and biology society (EMBC),2019
2. Posttraumatic stress disorder: Possibilities for olfaction and virtual reality exposure therapy.;Aiken;Virtual Real.,2015
3. Promoting relaxation using virtual reality, olfactory interfaces and wearable EEG;Amores;Proceedings of the 2018 IEEE 15th international conference on wearable and implantable body sensor networks (BSN),2018
4. Assessment and scientific progresses in the analysis of olfactory evoked potentials.;Arpaia;Bioengineering,2022
5. Olfactory recognition based on EEG gamma-band activity.;Aydemir;Neural Comp.,2017
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