권오영 교수
Oh-Young Kwon
서울대학교 · 의학
연구실 소개
권오영 교수의 연구실은 신경과학과 정보기술의 융합을 핵심으로 삼고 있으며, 주로 성기능장애 및 정서질환의 뇌기능 변화를 체계적으로 분석하는 데 초점을 맞추고 있습니다. 특히 성기능장애 환자의 뇌 활동 패atters를 체크하고, 블록체인 기반의 교육 뱃지 시스템을 통해 학습 성과의 투명성과 신뢰성을 제고하는 연구도 진행 중입니다. 또한, 혈액순환 이상과 관련된 정신신경질환의 뇌혈류 변화를 분석함으로써 임상적 진단 기반을 마련하고자 합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Neuronal activity in the right precental gyrus, the right insula, both the superior parietal lobule, the right parahippocampal gyrus, and the left middle temporal gyrus may be decreased in PE patients upon sexual arousal. Further studies are needed to evaluate the meaning of decreased neuronal activities in PE patients.
In this paper, we present a badge awarding system for performance assessment in education using blockchain technology. Learners will be awarded badges, which are certified for a predetermined level of progress in terms of learning. All the badges are stored in a backpack, which is an environment for storing and presenting the obtained badges. Badges are immutable and verifiable as well as rigid. The use of badges in the education system makes education more interesting, skill-based, and adaptabl
Objectives Orthostatic hypotension (OH) and postural orthostatic tachycardia syndrome (POTS) are well-known causes of orthostatic intolerance (OI). In addition, there are OI patients who are characterized by the symptoms of OI and lack of abnormal findings in head-up tilt (HUT) test. The aim of this study was to determine the cerebral hemodynamic changes in HUT test of OI patients with normal HUT (OINH). Materials and methods Two hundred and sixty-one OI patients and 50 healthy controls were enr
Information communication technology in IT field is being united with technologies in many other fields. Even the medical field was united with IT technology, thereby having allowed new technology called Ubiquitous Health System to appear. As the U-health system, which is being served now, is in the early stage, it relies upon sensor equipment of checking patient's condition, and is using a coping method, by which family and medical institution directly analyze the measured data from sensor. Thi
The K-LAEP is a valid screening tool for detecting MDD and GAD in PWE. A high LAEP score suggests comorbid psychiatric disorders, which need further specific evaluation.
CRD42021276445.
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