Abstract

Social cognition is essential for functional outcome and quality of life in psychiatric patients. Facial affect recognition (FAR), a domain of social cognition, is impaired in many patients with schizophrenia and bipolar disorder. There is evidence that abnormal visual scanpath patterns may underlie FAR deficits, and metacognitive factors may impact task performance. The present study aimed to develop a brief, individually-administered, computerized training program to normalize scanpath patterns in order to improve FAR in patient with a psychosis history or bipolar I disorder. The program was developed using scanpath data from 19 nonpsychiatric controls (NC) while they completed a FAR tasks that involved identification of mild or extreme intensity happy, sad, angry, and fearful faces, and a neutral expression. Patients were randomized to a waitlist (WG; n = 16) or training group (TG; n = 18). Both patient groups completed a baseline FAR task (T0), the training (or a repeated FAR task as a control for WG; T1), and a post-training FAR task (T2). Patients evaluated their own performance and eyetracking data were recorded. Results indicated that the patient groups did not differ from NC on FAR performance, metacognitive accuracy, or scanpath patterns at T0. TG was compliant with the training program and showed changes in scanpath patterns during T1, but returned to baseline scanpath patterns at T2. WG and TG did not differ at T2 on FAR performance, metacognitive accuracy, or scanpath patterns. Across both patient groups, FAR performance for mild intensity emotions were more sensitive to the effect of time than for extreme intensity emotions. Exploratory analysis showed that at baseline, greater severity of negative symptoms was associated with poorer metacognitive accuracy (i.e., accuracy in their evaluation of their performance). Limitations to the study and future directions are discussed.

Notes

If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu

Graduation Date

2016

Semester

Summer

Advisor

Bedwell, Jeffrey

Degree

Doctor of Philosophy (Ph.D.)

College

College of Sciences

Department

Psychology

Degree Program

Psychology; Clinical Psychology

Format

application/pdf

Identifier

CFE0006280

URL

http://purl.fcla.edu/fcla/etd/CFE0006280

Language

English

Release Date

August 2021

Length of Campus-only Access

5 years

Access Status

Doctoral Dissertation (Open Access)

Included in

Psychology Commons

Share

COinS