Journal
IEEE ACCESS
Volume 10, Issue -, Pages 127313-127327Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3226207
Keywords
Olfactory; Electroencephalography; Gender issues; Functional magnetic resonance imaging; Brain modeling; Task analysis; Logic gates; DCM; EEG; effective connectivity; gender; hedonic olfaction
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This study investigated the influence of hedonic content and gender differences on the effective connectivity among brain regions involved in emotional olfactory stimuli. The results showed that the valence of odors modulated the connectivity strengths between specific brain areas, and gender had a significant impact on odor discrimination ability.
The cortical network including the piriform (PC), orbitofrontal (OFC), and entorhinal (EC) cortices allows the complex processing of behavioral, cognitive, and context-related odor information and represents an access gate to the subcortical limbic regions. Among the several factors that influence odor processing, their hedonic content and gender differences play a relevant role. Here, we investigated how these factors influence EEG effective connectivity among the mentioned brain regions during emotional olfactory stimuli. To this aim, we acquired EEG data from twenty-one healthy volunteers, during a passive odor task of odorants with different valence. We used Dynamic Causal Modeling (DCM) for EEG and Parametric Empirical Bayes (PEB) to investigate the modulatory effects of odors' valence on the connectivity strengths of the PC-EC-OFC network. Moreover, we controlled for the influence of arousal and gender on such modulatory effects. Our results highlighted the relevant role of the forward and backward PC-EC connections in odor's brain processing. On the one hand, the EC-to-PC connection was inhibited by both pleasant and unpleasant odors, but not by the neutral one. On the other hand, the PC-to-EC forward connection was found to be modulated (posterior probability (Pp)> 0.95) by the arousal level associated with an unpleasant odor. Finally, the whole network dynamics showed several significant gender-related differences (Pp > 0.95) suggesting a better ability in odor discrimination for the female gender.
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