Deficits in Facial Emotion Recognition in Schizophrenia: A Replication Study with Korean Subjects

SeungJae Lee,HaeKook Lee,YongSil Kweon,ChungTai Lee,KyoungUk Lee 대한신경정신의학회 2010 PSYCHIATRY INVESTIGATION Vol.7 No.4

Objective-We investigated the deficit in the recognition of facial emotions in a sample of medicated, stable Korean patients with schizophrenia using Korean facial emotion pictures and examined whether the possible impairments would corroborate previous findings. Methods-Fifty-five patients with schizophrenia and 62 healthy control subjects completed the Facial Affect Identification Test with a new set of 44 colored photographs of Korean faces including the six universal emotions as well as neutral faces. Results-Korean patients with schizophrenia showed impairments in the recognition of sad, fearful, and angry faces [F(1,114)=6.26, p=0.014; F(1,114)=6.18, p=0.014; F(1,114)=9.28, p=0.003, respectively], but their accuracy was no different from that of controls in the recognition of happy emotions. Higher total and three subscale scores of the Positive and Negative Syndrome Scale (PANSS) correlated with worse performance on both angry and neutral faces. Correct responses on happy stimuli were negatively correlated with negative symptom scores of the PANSS. Patients with schizophrenia also exhibited different patterns of misidentification relative to normal controls. Conclusion-These findings were consistent with previous studies carried out with different ethnic groups, suggesting cross-cultural similarities in facial recognition impairment in schizophrenia.

A phosphodiesterase-5 inhibitor as a potential therapeutic effector following mild ischemic stroke

Juhyeon Kang,Yeon Hee Yu,Kahyun Lee,Gangho Kim,Jaehyeon Park,Kyounguk Lee,Hansol Lee,Whiin Lee,Seungwon Choi,Dae-Young Yoo,In Koo Hwang,Dae-Kyoon Park,Kyung-Ho Park,Man-Ryul Lee,Jae-Sang Oh,Duk-Soo Ki 대한체질인류학회 2018 대한체질인류학회 학술대회 연제 초록 Vol.61 No.-

Auditory P300 after Taking Hypnotic Zolpidem

KyoungUk Lee,E Jin Park,ChinYang Kang,SangIck Han,KweonHaeng Lee,YangWhan Jeon 대한신경정신의학회 2007 PSYCHIATRY INVESTIGATION Vol.4 No.1

Objective-Although the hypnotic, zolpidem, is known to be free of any detrimental residual effects, its residual effects on cognitive function after its elimination half-life have not been sufficiently investigated. This study was designed to examine the residual effects of zolpidem on cognitive function using event-related potentials (ERPs). Methods-Twelve healthy right-handed men participated in this study. ERP recordings were conducted at baseline and 5 hours after taking 10 mg of zolpidem. The auditory oddball task included the presentation of a series of standard (1,000 Hz, 75 dB, 80%) and target tones (2,000 Hz, 75 dB, 20%) in a predetermined quasi-random order. The data were analyzed using analysis of variance (ANOVA). Results-On the behavioral task, the reaction time was significantly delayed in the post-drug condition compared to the baseline. The P300 amplitude was significantly decreased in the post-drug condition compared to the baseline. However, the P300 latency showed no difference between the pre- and post-drug conditions. Conclusions-The residual effects of zolpidem on cognitive function may persist after its elimination half-life. Further large placebo-controlled trials are needed to confirm the findings of this study.

Development and Standardization of Extended ChaeLee Korean Facial Expressions of Emotions

KyoungUk Lee,JiEun Kim,Bora Yeon,SeungHwan Kim,JeongHo Chae 대한신경정신의학회 2013 PSYCHIATRY INVESTIGATION Vol.10 No.2

Objective-In recent years there has been an enormous increase of neuroscience research using the facial expressions of emotion. This has led to a need for ethnically specific facial expressions data, due to differences of facial emotion processing among different ethnicities. Methods-Fifty professional actors were asked to pose with each of the following facial expressions in turn: happiness, sadness, fear, anger, disgust, surprise, and neutral. A total of 283 facial pictures of 40 actors were selected to be included in the validation study. Facial expression emotion identification was performed in a validation study by 104 healthy raters who provided emotion labeling, valence ratings, and arousal ratings. Results-A total of 259 images of 37 actors were selected for inclusion in the Extended ChaeLee Korean Facial Expressions of Emotions tool, based on the analysis of results. In these images, the actors’ mean age was 38±11.1 years (range 26-60 years), with 16 (43.2%) males and 21 (56.8%) females. The consistency varied by emotion type, showing the highest for happiness (95.5%) and the lowest for fear (49.0%). The mean scores for the valence ratings ranged from 4.0 (happiness) to 1.9 (sadness, anger, and disgust). The mean scores for the arousal ratings ranged from 3.7 (anger and fear) to 2.5 (neutral). Conclusion-We obtained facial expressions from individuals of Korean ethnicity and performed a study to validate them. Our results provide a tool for the affective neurosciences which could be used for the investigation of mechanisms of emotion processing in healthy individuals as well as in patients with various psychiatric disorders.

Reliability and Validity of the Korean Version of the Connor-Davidson Resilience Scale

HyunSook Baek,KyoungUk Lee,EunJeong Joo,MiYoung Lee,KyeongSook Choi 대한신경정신의학회 2010 PSYCHIATRY INVESTIGATION Vol.7 No.2

Objective-The Connor-Davidson Resilience Scale (CD-RISC) measures various aspects of psychological resilience in patients with posttraumatic stress disorder (PTSD) and other psychiatric ailments. This study sought to assess the reliability and validity of the Korean version of the Connor-Davidson Resilience Scale (K-CD-RISC). Methods-In total, 576 participants were enrolled (497 females and 79 males), including hospital nurses, university students, and firefighters. Subjects were evaluated using the K-CD-RISC, the Beck Depression Inventory (BDI), the Impact of Event Scale-Revised (IES-R), the Rosenberg Self-Esteem Scale (RSES), and the Perceived Stress Scale (PSS). Test-retest reliability and internal consistency were examined as a measure of reliability, and convergent validity and factor analysis were also performed to evaluate validity. Results-Cronbach’s α coefficient and test-retest reliability were 0.93 and 0.93, respectively. The total score on the K-CD-RISC was positively correlated with the RSES (r=0.56, p<0.01). Conversely, BDI (r=-0.46, p<0.01), PSS (r=-0.32, p<0.01), and IES-R scores (r=-0.26, p<0.01) were negatively correlated with the K-CD-RISC. The K-CD-RISC showed a five-factor structure that explained 57.2% of the variance. Conclusion-The K-CD-RISC showed good reliability and validity for measurement of resilience among Korean subjects.

패션 속성기반 혼합현실 시각화 서비스

유용민(Youngmin Yoo),이경욱(Kyounguk Lee),김경선(Kyungsun Kim) 한국정보통신학회 2022 한국정보통신학회 종합학술대회 논문집 Vol.26 No.1

딥러닝의 등장과 ICT(Information and Communication Technology)의 급속한 발전으로 정치, 경제, 문화 등 사회의 다양한 분야에서 인공지능을 활용한 연구가 활발히 진행되고 있다. 딥러닝 기반 인공지능 기술은 자연어 처리, 영상 처리, 음성 처리, 추천 시스템 등 다양한 영역으로 세분화된다. 특히, 산업이 고도화됨에 따라 시장 동향 및 개인의 특성을 분석하여 소비자에게 추천하는 추천 시스템의 필요성이 점점 더 요구되고 있다. 이러한 기술 발전에 발맞추어, 본 논문에서는 딥러닝 기반 ‘언어처리지능’과 ‘영상처리지능’의 기술개발을 통해 정형 또는 비정형 텍스트 및 이미지 빅데이터로부터 속성 정보를 추출 추출하고, 분류하여 패션시장의 트랜드나 신규소재 등을 분석하고 소비자의 취향 분석을 통하여 ‘시장-소비자’ 인사이트를 발굴하여, 스타일 추천, 가상 피팅, 및 디자인지원 등이 가능한 인공지능 기반 ‘맞춤형 패션 어드바이저’ 서비스 통합 시스템을 제안한다. With the advent of deep learning and the rapid development of ICT (Information and Communication Technology), research using artificial intelligence is being actively conducted in various field of society such as politics, economy, and culture and so on. Deep learning-based artificial intelligence technology is subdivided into various domains such as natural language processing, image processing, speech processing, and recommendation system. In particular, as the industry is advanced, the need for a recommendation system that analyzes market trends and individual characteristics and recommends them to consumers is increasingly required. In line with these technological developments, this paper extracts and classifies attribute information from structured or unstructured text and image big data through deep learning-based technology development of ‘language processing intelligence’ and ‘image processing intelligence’, and We propose an artificial intelligence-based ‘customized fashion advisor’ service integration system that analyzes trends and new materials, discovers ‘market-consumer’ insights through consumer taste analysis, and can recommend style, virtual fitting, and design support.

Tardive Dystonia Related with Aripiprazole

Sunghwan Kim,SeungYup Lee,MinSeob Kim,KyoungUk Lee 대한신경정신의학회 2017 PSYCHIATRY INVESTIGATION Vol.14 No.3

Tardive dystonia is characterized by sustained, generally slow involuntary twisting movements. It is estimated to occur at a frequency of 1% to 4% among patients who are taking an antipsychotic agent. Unlike the first generation antipsychotics, the second generation antipsychotics are less likely to cause neuroleptic-induced movement disorder. For aripiprazole, only a few cases have been reported for tardive dystonia. We present a young male, who developed a severe tardive dystonia after taking aripiprazole for 5 years. The patient was admitted to for the treatment of both hisdystonic and psychotic symptoms. Olanzapine was administered instead of aripiprazole and while his psychotic symptoms improved, the dystonic symptoms were continued. Therefore, olanzapine was switched to clozapine while augmenting with benzodiazepine, anti-cholinergic, and ginko biloba to control his tardive dystonia. After 2 weeks of treatment, the dystonic movement decreased remarkably.