Temporal Encoding During Unimodal and Bimodal Odor Processing in the Human Brain

Oleszkiewicz, Anna; Pellegrino, Robert; Güdücü, Çağdaş; Farschi, Linda; Warr, Jonathan; Hummel, Thomas

doi:10.1007/s12078-018-9251-0

Cited by 3 publications

(2 citation statements)

References 39 publications

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“… Bensafi et al (2013) reported that bimodal mixtures evoked shorter but lower N1 and P2 component amplitudes than the pure substances individually. Oleszkiewicz et al (2019a) compared the effect of bimodal to unimodal stimulations of CSERP features and could demonstrate that CSERP amplitudes evoked by bimodal stimulation were more pronounced than unimodal stimulations separately. However, latencies were shortest for purely trigeminal stimulations with no difference in latencies between bimodal and olfactory stimulation.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Processing of Bimodal Odor Lateralization in the Brain Using Electroencephalography Microstates and Source Localization

et al. 2021

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The neuronal cascade related to the perception of either purely olfactory or trigeminal airborne chemicals has been investigated using electroencephalography (EEG) microstate analyses and source localization. However, most airborne chemicals are bimodal in nature, encompassing both properties. Moreover, there is an ongoing debate regarding whether there is one dominant nostril, and this could be investigated using these multichannel EEG methods. In this study, 18 right-handed, healthy participants (13 females) were monorhinally stimulated using an olfactometer with the bimodal component acetic acid during continuous EEG recording. Participants indicated the side of stimulation, the confidence in their decision, and rated the strength of the evoked perception. EEG microstate clustering determined four distinct maps and successive backfitting procedures, and source estimations revealed a network that evolved from visual-spatial processing areas to brain areas related to basic olfactory and trigeminal sensations (e.g., thalamus, cingulate cortex, insula, parahippocampal, and pre-/post-central gyri) and resulted in activation of areas involved in multisensory integration (e.g., frontal-temporal areas). Right-nostril stimulation was associated with faster microstate transition and longer involvement of the superior temporal gyrus, which was previously linked to chemical localization and provides evidence for a potential nostril dominance. The results describe for the first time the processing cascade of bimodal odor perception using microstate analyses and demonstrate its feasibility to further investigate potential nostril dominance.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Processing of Bimodal Odor Lateralization in the Brain Using Electroencephalography Microstates and Source Localization

et al. 2021

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“…Hence, it is crucial to objectively determine the lack of smelling ability. However, there is limited research into the response of the human brain to different odors [7][8][9]. Additionally, studies vary in terms of experimental methodology and outcomes.…”

Section: Introductionmentioning

confidence: 99%

Odor and Subject Identification Using Electroencephalography Reaction to Olfactory

Aydemir¹

2020

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It is certain that the human brain responds to all kinds of inputs such as feeling, sound, light, and odor. However, to the best of our knowledge, limited works have investigated the response of the human brain to different inputs, especially in eyes-open and eyes-closed (EO & EC) conditions. Due to its fine temporal resolution, portability, noninvasiveness, and low set-up costs, electroencephalography (EEG) is one of the most practical way to evaluate the response of the brain to different inputs. In this study, the brain reactions to olfactory were analyzed, and two identifications were done, which were odor and subject. The brain reactions were captured by EEG from five healthy subjects during smelling of valerian, lotus flower, cheese, and rosewater odors in EO & EC conditions. We tested band power, statistical data, Hjorth parameters, and autoregressive model features and achieved the highest average classification accuracy rates of 96.94% and 99.34% for odor and subject identifications, respectively. The obtained results proved that the olfactory response of the human brain in EO & EC conditions can be reliably used for odor and subject identifications.

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Tempo-Spectral EEG Biomarkers for Odour Identification

Pandharipande,

Tiwari,

Chakraborty

et al. 2023

2023 45th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Temporal Encoding During Unimodal and Bimodal Odor Processing in the Human Brain

Cited by 3 publications

References 39 publications

Spatiotemporal Processing of Bimodal Odor Lateralization in the Brain Using Electroencephalography Microstates and Source Localization

Spatiotemporal Processing of Bimodal Odor Lateralization in the Brain Using Electroencephalography Microstates and Source Localization

Odor and Subject Identification Using Electroencephalography Reaction to Olfactory

Tempo-Spectral EEG Biomarkers for Odour Identification

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