M135. DEVELOPMENT OF VISUAL SCANPATH PATTERN ANALYSIS BASED ON FACIAL EMOTION PERCEPTION ENHANCEMENT TRAINING PROGRAM IN SCHIZOPHRENIA PATIENTS

Abstract

BackgroundFacial expression is an important non-verbal way of expressing the person’s emotional state. If the process of perceiving facial features is impaired, the ability to recognize the emotional state of others is degraded, which may make it difficult to maintain interpersonal and social communications. Many studies have reported on the association between deficit of facial emotion perception (FEP) and the social functioning in schizophrenia. Therefore, we developed visual scanpath pattern analysis based FEP enhancement training program in schizophrenia.MethodsWe enrolled patients visited and admitted Gongju National Hospital and those lived in shared housing facilities for rehabilitation from Sep 2018 to May 2019. 128 patients attended to FEP training program as open, blind and randomized-controlled cross-over design. Both FEP training and mock programs were provided twice a week for a month treatment period with a 4-week washout period between treatment periods. Primary outcome was results of heatmaps based on visual scanpath patterns.ResultsAmong 128 patients, 121 completed the study and 7 was dropped out. In FEP training group, their visual scanpath pattern somewhat closer to normal than mock group. When they had an efforts to perceive the emotion of face pictures, FEP training group tended to scan the face pictures more broadly including eye rims, middle of forehead and sided of the mouth in addition to eyes, nose and mouth whereas mock group tended to gaze eyes, nose and mouth intensively.DiscussionThis FEP training program may improve the ability to integrate facial expression cues through visual scanpath pattern changes in schizophrenia patients.Acknowledgement: This work was supported by the National Research Foundation of Korea (NRF) (Grant number NRF-2016R1E1A2A01953732 & 2018R1E1A2A02059043).