Related Experiment Video
Updated: May 23, 2025

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
Published on: July 31, 2016
Repeatability of facial emotion processing over 12 weeks in healthy participants
Jane B Allendorfer1, Adam M Goodman2, M David Diggs3
1Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States; Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, United States; University of Alabama at Birmingham Epilepsy Center, Birmingham, AL, the United States of America.
Abstract:
Few studies have assessed influences of mood state on facial emotion processing changes. We examined if the repeatability of fMRI facial emotional processing in healthy participants (HCs) is affected by mood state changes and hypothesized that fMRI activation would be stable but may be influenced by mood state fluctuations. In a multi-site study, thirty-two HCs underwent emotion faces task (EFT) fMRI and completed a post-scan facial emotion rating and the Profile of Mood States (POMS) ∼ 12 weeks apart. FMRI data were processed using AFNI software. POMS and behavioral data were analyzed using repeated measures ANOVA and the sign test, as appropriate. Paired-samples t-tests, covarying for site, assessed fMRI responses for facial emotions (Happy, Fearful, Sad, Neutral) and Arousal. Intraclass correlation coefficient (ICC) examined repeatability of POMS and fMRI responses; regression analyses examined relationships between mood changes and fMRI activations. There were no significant differences between visits in POMS, EFT performance or post-scan ratings accuracy. POMS scores were stable (ICC ≥ 0.74). FMRI activation exhibited repeatability that was fair or better (ICC ≥ 0.4). EFT activation changes were not significantly related to mood state changes. Our results provide evidence for acceptable EFT fMRI test-retest reliability over 12 weeks, without significant influence of mood state variability.
More Related Videos
07:12Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
Published on: August 26, 2016
04:27Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans
Published on: March 15, 2019