Ferdowsi, Saideh and Ognibene, Dimitri and Foulsham, Tom and Greco, Alberto and Callara, Alejandro Luis and Cervera-Torres, Sergio and Alcañiz, Mariano and Vanello, Nicola and Citi, Luca (2023) Human body odour modulates neural processing of faces: effective connectivity analysis using EEG. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023-06-22 - 2023-06-24, L'Aquila, Italy.
Ferdowsi, Saideh and Ognibene, Dimitri and Foulsham, Tom and Greco, Alberto and Callara, Alejandro Luis and Cervera-Torres, Sergio and Alcañiz, Mariano and Vanello, Nicola and Citi, Luca (2023) Human body odour modulates neural processing of faces: effective connectivity analysis using EEG. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023-06-22 - 2023-06-24, L'Aquila, Italy.
Ferdowsi, Saideh and Ognibene, Dimitri and Foulsham, Tom and Greco, Alberto and Callara, Alejandro Luis and Cervera-Torres, Sergio and Alcañiz, Mariano and Vanello, Nicola and Citi, Luca (2023) Human body odour modulates neural processing of faces: effective connectivity analysis using EEG. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023-06-22 - 2023-06-24, L'Aquila, Italy.
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.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | dynamic causal model; effective brain connectivity; human body odour; parametric empirical Bayes; social interaction |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of Faculty of Science and Health > Psychology, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 02 Feb 2024 16:02 |
Last Modified: | 29 Nov 2024 07:50 |
URI: | http://repository.essex.ac.uk/id/eprint/36198 |
Available files
Filename: IEEE_CBMS2023.pdf