Abstract

Deficits in facial emotion recognition have frequently been established in temporal lobe epilepsy (TLE). However, static, rather than dynamic emotion recognition paradigms have been applied. Affective prosody has been insufficiently studied in TLE, and there is a lack of studies investigating associations between auditory and visual emotion recognition. We wished to investigate potential deficits in a dynamic morph task of facial emotion recognition and in an affective prosody recognition task, as well as associations between both tasks. 25 patients with TLE and 24 healthy controls (CG) performed a morph task with faces continuously changing in their emotional intensity. They had to press a button, as soon as they were able to recognize the emotion expressed, and label it accordingly. In the auditory task, subjects listened to neutral sentences spoken in varying emotional tones, and labeled the emotions. Correlation analyses were conducted across both tasks. TLE patients showed significantly reduced prosody recognition compared to CG, and in the morph task, there was a statistical trend towards significantly reduced performance for TLE. Recognition rates in both tasks were significantly associated. TLE patients show deficits in affective prosody recognition, and they may also be impaired in a morph task with dynamically changing facial expressions. Impairments in basic social-cognitive tasks in TLE seem to be modality-independent.

Details

Title
Dynamic facial emotion recognition and affective prosody recognition are associated in patients with temporal lobe epilepsy
Author
Metternich, Birgitta 1   VIAFID ORCID Logo  ; Gehrer, Nina 2 ; Wagner, Kathrin 1 ; Geiger, Maximilian J. 1 ; Schütz, Elisa 1 ; Seifer, Britta 1 ; Schulze-Bonhage, Andreas 1 ; Schönenberg, Michael 2 

 University of Freiburg, Epilepsy Center, Department of Neurosurgery, Medical Center, Freiburg, Germany (GRID:grid.5963.9) (ISNI:0000 0004 0491 7203) 
 University Hospital Tübingen, Department of Psychiatry and Psychotherapy, Tübingen, Germany (GRID:grid.411544.1) (ISNI:0000 0001 0196 8249) 
Pages
3935
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2927742409
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.