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PERSPECTIVE article
Front. Hum. Neurosci.
Sec. Brain-Computer Interfaces
Volume 18 - 2024 |
doi: 10.3389/fnhum.2024.1419552
Olfactory neurofeedback: current state and possibilities for further development
Provisionally accepted- 1 National Research University Higher School of Economics, Moscow, Russia
- 2 V. Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Moscow Oblast, Russia
- 3 Herzen State Pedagogical University of Russia, Saint Petersburg, Russia
- 4 Lomonosov Moscow State University, Moscow, Moscow, Russia
- 5 Institute of Evolutionary Physiology and Biochemistry (RAS), Saint Petersburg, Russia
This perspective considers the novel concept of olfactory neurofeedback (O-NFB) within the framework of brain-computer interfaces (BCIs), where olfactory stimuli are integrated in various BCI control loops. In particular, electroencephalography (EEG)-based O-NFB systems are capable of incorporating different components of complex olfactory processing --from simple discrimination tasks to using olfactory stimuli for rehabilitation of neurological disorders. Thus, in In our own work, EEG theta and alpha rhythms were probed as control variables for O-NFB. Additionaly, and we developed an olfactory-based instructed-delay task. We suggest that the unique functions of olfaction offer numerous medical and consumer applications where O-NFB is combined with sensory inputs of other modalities within a BCI framework to engage brain plasticity. We discuss the ways O-NFB could be implemented, including the integration of different types of olfactory displays in the experiment set-up and EEG features to be utilized. We emphasize the importance of synchronizing O-NFB with respiratory rhythms, which are known to influence EEG patterns and cognitive processing. Overall, we expect that O-NFB systems will contribute to both practical applications in the clinical world and the basic neuroscience of olfaction.
Keywords: olfaction1, EEG2, BCI3, NFB4, olfactory processing5
Received: 18 Apr 2024; Accepted: 24 Oct 2024.
Copyright: © 2024 Ninenko, Medvedeva, Efimova, Kleeva, Morozova and Lebedev. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ivan Ninenko, National Research University Higher School of Economics, Moscow, Russia
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