Odor Pleasantness Modulates Functional Connectivity in the Olfactory Hedonic Processing Network.

brain connectivity electroencephalography hedonic evaluation lateralization olfaction

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
19 Oct 2022
Historique:
received: 13 09 2022
revised: 10 10 2022
accepted: 14 10 2022
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 28 10 2022
Statut: epublish

Résumé

Olfactory hedonic evaluation is the primary dimension of olfactory perception and thus central to our sense of smell. It involves complex interactions between brain regions associated with sensory, affective and reward processing. Despite a recent increase in interest, several aspects of olfactory hedonic evaluation remain ambiguous: uncertainty surrounds the communication between, and interaction among, brain areas during hedonic evaluation of olfactory stimuli with different levels of pleasantness, as well as the corresponding supporting oscillatory mechanisms. In our study we investigated changes in functional interactions among brain areas in response to odor stimuli using electroencephalography (EEG). To this goal, functional connectivity networks were estimated based on phase synchronization between EEG signals using the weighted phase lag index (wPLI). Graph theoretic metrics were subsequently used to quantify the resulting changes in functional connectivity of relevant brain regions involved in olfactory hedonic evaluation. Our results indicate that odor stimuli of different hedonic values evoke significantly different interaction patterns among brain regions within the olfactory cortex, as well as in the anterior cingulate and orbitofrontal cortices. Furthermore, significant hemispheric laterality effects have been observed in the prefrontal and anterior cingulate cortices, specifically in the beta ((13-30) Hz) and gamma ((30-40) Hz) frequency bands.

Identifiants

pubmed: 36291341
pii: brainsci12101408
doi: 10.3390/brainsci12101408
pmc: PMC9599424
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Agency for Science, Technology and Research
ID : APG2013/110
Organisme : Procter and Gamble
ID : APG2013/131

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Auteurs

Veit Frederik Kepler (VF)

Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117583, Singapore.

Manuel S Seet (MS)

The N.1 Institute of Health, National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore.

Junji Hamano (J)

International Operations, Procter & Gamble, 70 Biopolis Street, Singapore 138547, Singapore.

Mariana Saba (M)

International Operations, Procter & Gamble, 70 Biopolis Street, Singapore 138547, Singapore.

Nitish V Thakor (NV)

Department of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117583, Singapore.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.

Stavros I Dimitriadis (SI)

Department of Clinical Psychology and Psychobiology, Faculty of Psychology, University of Barcelona, Passeig de la Vall d'Hebron, 171, 08035 Barcelona, Spain.
Institut de Neurociències, University of Barcelona, Campus Mundet, Edifici de Ponent, Passeig de la Vall d'Hebron, 171, 08035 Barcelona, Spain.
Integrative Neuroimaging Lab, 55133 Thessaloniki, Greece.
Neuroinformatics Group, Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, College of Biomedical and Life Sciences, Cardiff CF24 4HQ, UK.
Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff CF24 4HQ, UK.

Andrei Dragomir (A)

The N.1 Institute of Health, National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore.
Department of Biomedical Engineering, University of Houston, 3517 Cullen Blvd, Houston, TX 77204, USA.

Classifications MeSH