Electroencephalographic predictors of olfactory stimulus discrimination in COVID-19 survivors

OBJECTIVE: To analyze the spectral characteristics of electroencephalogram (EEG) activity during an olfactory discrimination test. MATERIAL AND METHODS: The study involved 26 COVID-19 survivors with a reported history of anosmia. Participants were exposed to three types of odorants using a diffuser. EEG recordings were obtained while waiting for and during stimulus presentation. Based on their performance, participants were divided into two groups, and EEG power in the delta, theta, alpha, and beta frequency ranges was analyzed. RESULTS: The findings indicated that greater delta and theta activity during the odor expectation phase correlated with successful discrimination. Conversely, higher beta activity was associated with an increased number of errors. Participants demonstrating high recognition accuracy also had shorter mean reaction times. A negative correlation was identified between delta rhythm power and the number of errors made. CONCLUSIONS: EEG spectral scores can serve as neurophysiological indicators of sensory efficiency in olfactory tests. Notably, some patients may display subtle disturbances in brain activity even without overt symptoms. These findings are significant for the diagnosis and personalized rehabilitation of post-COVID conditions, including the development of neurological feedback methods and olfactory training.

Authors

Institutions

Publication Details

Journal
S S Korsakov Journal of Neurology and Psychiatry
Published
2026-06-26
DOI
https://doi.org/10.17116/jnevro202612606199
Primary Topic
Olfactory and Sensory Function Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electroencephalographic predictors of olfactory stimulus discrimination in COVID-19 survivors

Mikhail Lebedev, D. Yu. Butko, Victoria L. Efimova, Oleg Aleksandrovich Druzhinin et al.
S S Korsakov Journal of Neurology and Psychiatry
Olfactory and Sensory Function Studies
article

Electroencephalographic predictors of olfactory stimulus discrimination in COVID-19 survivors

Mikhail Lebedev, D. Yu. Butko, Victoria L. Efimova, Oleg Aleksandrovich Druzhinin, И.В. Николаев, N.V. Konshina
article en

Abstract

OBJECTIVE: To analyze the spectral characteristics of electroencephalogram (EEG) activity during an olfactory discrimination test. MATERIAL AND METHODS: The study involved 26 COVID-19 survivors with a reported history of anosmia. Participants were exposed to three types of odorants using a diffuser. EEG recordings were obtained while waiting for and during stimulus presentation. Based on their performance, participants were divided into two groups, and EEG power in the delta, theta, alpha, and beta frequency ranges was analyzed. RESULTS: The findings indicated that greater delta and theta activity during the odor expectation phase correlated with successful discrimination. Conversely, higher beta activity was associated with an increased number of errors. Participants demonstrating high recognition accuracy also had shorter mean reaction times. A negative correlation was identified between delta rhythm power and the number of errors made. CONCLUSIONS: EEG spectral scores can serve as neurophysiological indicators of sensory efficiency in olfactory tests. Notably, some patients may display subtle disturbances in brain activity even without overt symptoms. These findings are significant for the diagnosis and personalized rehabilitation of post-COVID conditions, including the development of neurological feedback methods and olfactory training.

S S Korsakov Journal of Neurology and PsychiatryVol. 126(6)
Lomonosov Moscow State University (RU), Herzen University (RU), Severtsov Institute of Ecology and Evolution (RU), Moscow State University (TJ), Neurological Surgery (US), Saint Petersburg State Pediatric Medical University (RU)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Olfactory and Sensory Function Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.