Facial emotion processing by the brain plays a decisive role in human social interactions. This signal helps us interpret and predict people's behaviours. However, other social signals such as human voices or human body odours may facilitate or impair the identification of facial expressions. Here we studied the effects of emotional human body odours on face processing by measuring evoked neural responses and brain connectivity using the electroencephalogram (EEG). We used an emotion recognition task in which the participants attributed an emotion (i.e. happy vs fearful) to a presented face image while simultaneously exposed to emotional body odours. First, we measured face related potentials (FRP)s including P100 and N170 components. Statistical analyses revealed significant differences among FRPs recorded in different odour conditions. Second, we used a hierarchical Bayesian approach including a group dynamic causal model (DCM) followed by parametric empirical Bayes (PEB) to characterize the brain network explaining differences between FRPs. Our preliminary results suggested that different brain networks contribute to neutral face processing in the presence of different emotional body odours.

Ferdowsi, S., Ognibene, D., Foulsham, T., Greco, A., Callara, A., Cervera-Torres, S., et al. (2023). Human body odour modulates neural processing of faces: Effective connectivity analysis using EEG. In Proceedings - IEEE Symposium on Computer-Based Medical Systems (pp.858-863). Institute of Electrical and Electronics Engineers Inc. [10.1109/CBMS58004.2023.00332].

Human body odour modulates neural processing of faces: Effective connectivity analysis using EEG

Ognibene, D;
2023

Abstract

Facial emotion processing by the brain plays a decisive role in human social interactions. This signal helps us interpret and predict people's behaviours. However, other social signals such as human voices or human body odours may facilitate or impair the identification of facial expressions. Here we studied the effects of emotional human body odours on face processing by measuring evoked neural responses and brain connectivity using the electroencephalogram (EEG). We used an emotion recognition task in which the participants attributed an emotion (i.e. happy vs fearful) to a presented face image while simultaneously exposed to emotional body odours. First, we measured face related potentials (FRP)s including P100 and N170 components. Statistical analyses revealed significant differences among FRPs recorded in different odour conditions. Second, we used a hierarchical Bayesian approach including a group dynamic causal model (DCM) followed by parametric empirical Bayes (PEB) to characterize the brain network explaining differences between FRPs. Our preliminary results suggested that different brain networks contribute to neutral face processing in the presence of different emotional body odours.
paper
dynamic causal model; effective brain connectivity; human body odour; parametric empirical Bayes; social interaction;
English
36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023 - 22 June 2023through 24 June 2023
2023
Proceedings - IEEE Symposium on Computer-Based Medical Systems
9798350312249
2023
2023-June
858
863
https://ieeexplore.ieee.org/abstract/document/10178780
reserved
Ferdowsi, S., Ognibene, D., Foulsham, T., Greco, A., Callara, A., Cervera-Torres, S., et al. (2023). Human body odour modulates neural processing of faces: Effective connectivity analysis using EEG. In Proceedings - IEEE Symposium on Computer-Based Medical Systems (pp.858-863). Institute of Electrical and Electronics Engineers Inc. [10.1109/CBMS58004.2023.00332].
File in questo prodotto:
File Dimensione Formato  
Ferdowsi-2023-CBMS-VoR.pdf

Solo gestori archivio

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Tutti i diritti riservati
Dimensione 812.4 kB
Formato Adobe PDF
812.4 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/472218
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
Social impact