NDLI: Facial Affective Behavior in Mental Disorder

Content Provider	Springer Nature Link
Author	Peham, Doris Bock, Astrid Schiestl, Cathrin Huber, Eva Zimmermann, Johannes Kratzer, Dietmar Dahlbender, Reiner Biebl, Wilfried Benecke, Cord
Copyright Year	2015
Abstract	Facial behavior can be seen as one part of more general behavior to create specific relationship patterns by communicating distinct affective information. Previous results on disorder-specific facial affective behavior are mixed: thus, a disorder-related specificity of facial affective expression has been called into question. We examined the facial affective behavior of patients attending a clinical interview that focused on different and often difficult aspects of life. Facial affective behavior was coded with FACS in 90 female subjects: 74 patients with different mental disorders and 16 healthy controls. Differences in facial affective behavior (according to EmFACS) between diagnostic groups (those with borderline personality disorder, depression, anxiety disorders, somatoform disorders, eating disorders, and healthy controls) were calculated. Hierarchical cluster analysis was performed to detect subgroups of facial affective patterns, and the clusters were linked to disorder groups. Frequencies of facial affective behavior were correlated with clinical severity scores. No significant differences in facial affective behavior between diagnostic groups were found. Furthermore, no group-specific facial lead affect was found in this sample: all groups showed disgust as the most frequent expression. Additionally, frequency of facial affective behavior was not substantially related to clinical severity variables. Clusters of facial affective behavior could be extracted but were neither related to diagnostic groups nor to clinical severity scores. Our results fail to find evidence for disorder-specific facial affective behavior. Possible reasons for our results, such as the problem-focused clinical interview, high comorbidity, the non-dyadic analysis, and the insufficiency of analyzing pure frequencies, are discussed.
Starting Page	371
Ending Page	396
Page Count	26
File Format	PDF
ISSN	01915886
Journal	Journal of Nonverbal Behavior
Volume Number	39
Issue Number	4
e-ISSN	15733653
Language	English
Publisher	Springer US
Publisher Date	2015-07-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Emotion Facial affective behavior Facial expression DSMIV-diagnoses Mental disorders Personality and Social Psychology Sociology Social Sciences
Content Type	Text
Resource Type	Article
Subject	Social Psychology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Facial Behavior While Experiencing Sexual Excitement

Emotional Empathy and Facial Feedback

Machine Learning Facial Emotion Recognition in Psychotherapy Research. A useful approach?

Prosody–face Interactions in Emotional Processing as Revealed by the Facial Affect Decision Task

Vocal and Facial Emotion Decoding Difficulties Relating to Social and Thought Problems: Highlighting Schizotypal Personality Disorder

Infant Smiling Dynamics and Perceived Positive Emotion

Explicit Use of Categorical and Dimensional Strategies to Decode Facial Expressions of Emotion

Identifying Mental Disorder from the Faces of Women with Borderline Personality Disorder

Recognition of Facial Expressions of Emotion is Related to their Frequency in Everyday Life

Facial Affective Behavior in Mental Disorder

Similar Documents

Facial Behavior While Experiencing Sexual Excitement

Emotional Empathy and Facial Feedback

Machine Learning Facial Emotion Recognition in Psychotherapy Research. A useful approach?

Prosody–face Interactions in Emotional Processing as Revealed by the Facial Affect Decision Task

Vocal and Facial Emotion Decoding Difficulties Relating to Social and Thought Problems: Highlighting Schizotypal Personality Disorder

Infant Smiling Dynamics and Perceived Positive Emotion

Explicit Use of Categorical and Dimensional Strategies to Decode Facial Expressions of Emotion

Identifying Mental Disorder from the Faces of Women with Borderline Personality Disorder

Recognition of Facial Expressions of Emotion is Related to their Frequency in Everyday Life

Facial Affective Behavior in Mental Disorder