Visual Angles and Emotional Valence Affect Temporal Dynamics of Neural Representations of Facial Expression: An MEG Study

Emotion processing has been a focus of research in Cognitive Neuroscience for decades. While the evoked neural markers as brain activations in response to different emotions have been reported, the temporal dynamics of emotion processing have received little attention. Furthermore, behavioral studies have found that the right side of the human face expresses emotions more accurately than the left side. Therefore, accounting for both the content of the emotion and the visual angle of the presentation from the viewer's perspective, we have investigated temporal dynamics and variability in the processing of happy and sad emotions using magnetoencephalography (MEG), when the visual angle of presentation was either Positive (right side of the face) or Negative (left side of the face). Our results showed that decodable processing of happy emotions emerged earlier than that for sad emotions, irrespective of visual angle. However, the amplitude of the evoked response to sad emotions was higher than that to happy emotions, when faces were presented at Positive visual angles only. Source reconstructed Event Related Fields (ERFs) showed localized activities in ventral and dorsal streams including fusiform gyrus, lingual gyrus, putamen and pre and post central gyrus. Multivariate pattern analysis also demonstrated successful decoding of happy and sad emotions only when the facial expression was viewed from a positive visual angle.

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Publication Details

Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2024-11-26
DOI
https://doi.org/10.1109/tnsre.2024.3506737
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.00

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article

Visual Angles and Emotional Valence Affect Temporal Dynamics of Neural Representations of Facial Expression: An MEG Study

Braj Bhushan, Girijesh Prasad, Dheeraj Rathee, Naomi du Bois et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Face Recognition and Perception
article

Visual Angles and Emotional Valence Affect Temporal Dynamics of Neural Representations of Facial Expression: An MEG Study

Braj Bhushan, Girijesh Prasad, Dheeraj Rathee, Naomi du Bois, Nicola Molinaro, Sanjeev Nara
article en

Abstract

Emotion processing has been a focus of research in Cognitive Neuroscience for decades. While the evoked neural markers as brain activations in response to different emotions have been reported, the temporal dynamics of emotion processing have received little attention. Furthermore, behavioral studies have found that the right side of the human face expresses emotions more accurately than the left side. Therefore, accounting for both the content of the emotion and the visual angle of the presentation from the viewer's perspective, we have investigated temporal dynamics and variability in the processing of happy and sad emotions using magnetoencephalography (MEG), when the visual angle of presentation was either Positive (right side of the face) or Negative (left side of the face). Our results showed that decodable processing of happy emotions emerged earlier than that for sad emotions, irrespective of visual angle. However, the amplitude of the evoked response to sad emotions was higher than that to happy emotions, when faces were presented at Positive visual angles only. Source reconstructed Event Related Fields (ERFs) showed localized activities in ventral and dorsal streams including fusiform gyrus, lingual gyrus, putamen and pre and post central gyrus. Multivariate pattern analysis also demonstrated successful decoding of happy and sad emotions only when the facial expression was viewed from a positive visual angle.

IEEE Transactions on Neural Systems and Rehabilitation EngineeringVol. 33
University of Essex (GB), University of Ulster (GB), Justus-Liebig-Universität Gießen (DE), Basque Center on Cognition, Brain and Language (ES), Intelligent Systems Research (United States) (US), Indian Institute of Technology Kanpur (IN)
Ulster University, Ministerio de Economía y Competitividad, Medical Research Council, Science and Engineering Research Board
Reduced inequalities
Openalex Percentile: Top 78%
Face Recognition and Perception
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