Skip to main content

강승완 교수

Seung Wan Kang

서울대학교 · 의학

연구실 소개

강승완 교수의 연구실은 뇌-장 축소통과 신경생물학적 기전을 중심으로, 퇴행성 뇌질환과 만성 질환의 생물학적 표지자 탐색에 초점을 맞추고 있습니다. 특히 뇌파(EEG)와 장내 미생물의 변화를 기반으로 알츠하이머병의 조기 진단 및 치료 전략을 개발하고 있으며, 항산화제, 폴리페놀 등 영양보조제의 신경 및 신체 기능 개선 효과에 대해서도 실험적·임상적 연구를 진행하고 있습니다. 심박수 변동성과 뇌파의 상호작용을 분석함으로써 마음의 상태 조절 메커니즘을 규명하는 데에도 기여하고 있습니다.

뇌-장 축소통알츠하이머병 생물표지자EEG 분석장내 미생물영양보조제 효과

연구 현황

논문 수
99
총 인용 수
1,495
최근 5년 논문
32
주요 분야
의학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
32총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
285총합
20212022202320242025

주요 논문

15
1
논문|인용수 225·2013
Impact of Pelvic Radiotherapy on Gut Microbiota of Gynecological Cancer Patients Revealed by Massive Pyrosequencing
Young‐Do Nam, Hak Jae Kim, Jae‐Gu Seo, Seung Wan Kang, Jin‐Woo Bae
SJR Q1FWCI 1.9PLoS ONEOA

Although pelvic irradiation is effective for the treatment of various cancer types, many patients who receive radiotherapy experience serious complications. Gut microbial dysbiosis was hypothesized to be related to the occurrence of radiation-induced complications in cancer patients. Given the lack of clinical or experimental data on the impact of radiation on gut microbiota, a prospective observational study of gut microbiota was performed in gynecological cancer patients receiving pelvic radio

Molecular BiologyBiochemistry, Genetics and Molecular Biology
2
논문|인용수 41·2011
Oligomerized lychee fruit extract (OLFE) and a mixture of vitamin C and vitamin E for endurance capacity in a double blind randomized controlled trial
Seung Wan Kang, Seokyung Hahn, Jung-Kyu Kim, Seung-Min Yang, Byung‐Joo Park, Sang Chul Lee
SJR Q2FWCI 1.8Journal of Clinical Biochemistry and NutritionOA

Antioxidant supplementations are commonly used as an ergogenic aid for physical exercise despite its limited evidence. The study aimed to investigate the effects of a polyphenol mixture and vitamins on exercise endurance capacity. Seventy regularly exercising male participants were randomly assigned to receive oligomerized lychee fruit extract, a mixture of vitamin C (800 mg) and E (320 IU), or a placebo for 30 consecutive days. The study results showed that oligomerized lychee fruit extract sig

RehabilitationMedicine
3
논문|인용수 41·2014
Reorganization of the brain and heart rhythm during autogenic meditation
Daekeun Kim, Jyoo-Hi Rhee, Seung Wan Kang
SJR Q1FWCI 2.0Frontiers in Integrative NeuroscienceOA

The underlying changes in heart coherence that are associated with reported EEG changes in response to meditation have been explored. We measured EEG and heart rate variability (HRV) before and during autogenic meditation. Fourteen subjects participated in the study. Heart coherence scores were significantly increased during meditation compared to the baseline. We found near significant decrease in high beta absolute power, increase in alpha relative power and significant increases in lower (alp

Cardiology and Cardiovascular MedicineMedicine
4
논문|인용수 36·2018
Phlorotannin supplement decreases wake after sleep onset in adults with self‐reported sleep disturbance: A randomized, controlled, double‐blind clinical and polysomnographic study
Min Young Um, Jin Young Kim, Jin Kyu Han, Jin‐Kyung Kim, Hyejin Yang, Minseok Yoon, Jiyoung Kim, Seung Wan Kang, Suengmok Cho
SJR Q1FWCI 1.4Phytotherapy Research

Our previous study demonstrated that phlorotannin supplement had a sleep-promoting effect in rodents. In the present study, we investigated whether the phlorotannin supplement could improve sleep in subjects with self-reported sleep disturbances. In a randomized, double-blind, placebo-controlled trial, 24 subjects consumed either a placebo or phlorotannin supplement (500 mg/day) for 1 week, 30-60 min prior to bedtime. Sleep parameters were assessed at baseline and at 1 week with sleep questionna

Cognitive NeuroscienceNeuroscience
5
논문|인용수 31·2021
Quantitative Electroencephalogram Standardization: A Sex- and Age-Differentiated Normative Database
Juhee Ko, Ukeob Park, Daekeun Kim, Seung Wan Kang
SJR Q2FWCI 2.8Frontiers in NeuroscienceOA

We describe the utility of a standardized index (Z-score) in quantitative EEG (QEEG) capable of when referenced to a resting-state, sex- and age-differentiated QEEG normative database (ISB-NormDB). Our ISB-NormDB comprises data for 1,289 subjects (553 males, 736 females) ages 4.5 to 81 years that met strict normative data criteria. A de-noising process allowed stratification based on QEEG variability between normal healthy men and women at various age ranges. The ISB-NormDB data set that is stra

Cognitive NeuroscienceNeuroscience
6
논문|인용수 29·2023
PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer’s disease
Nam Heon Kim, Ukeob Park, Dong Won Yang, Seong Hye Choi, Young Chul Youn, Seung Wan Kang
SJR Q1FWCI 6.5Scientific ReportsOA

Developing reliable biomarkers is important for screening Alzheimer's disease (AD) and monitoring its progression. Although EEG is non-invasive direct measurement of brain neural activity and has potentials for various neurologic disorders, vulnerability to noise, difficulty in clinical interpretation and quantification of signal information have limited its clinical application. There have been many research about machine learning (ML) adoption with EEG, but the accuracy of detecting AD is not

Psychiatry and Mental healthMedicine
7
논문|인용수 23·2021
Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic
Nam Heon Kim, Dong Won Yang, Seong Hye Choi, Seung Wan Kang
SJR Q3FWCI 2.3Frontiers in Computational NeuroscienceOA

The use of positron emission tomography (PET) as the initial or sole biomarker of β-amyloid (Aβ) brain pathology may inhibit Alzheimer's disease (AD) drug development and clinical use due to cost, access, and tolerability. We developed a qEEG-ML algorithm to predict Aβ pathology among subjective cognitive decline (SCD) and mild cognitive impairment (MCI) patients, and validated it using Aβ PET. We compared QEEG data between patients with MCI and those with SCD with and without PET-confirmed beta

Psychiatry and Mental healthMedicine
8
논문|인용수 17·2023
Machine learning-based prediction of post-stroke cognitive status using electroencephalography-derived brain network attributes
Minwoo Lee, Yuseong Hong, Sungsik An, Ukeob Park, Jaekang Shin, Jeongjae Lee, Mi Sun Oh, Byung‐Chul Lee, Kyung‐Ho Yu, Jae‐Sung Lim, Seung Wan Kang
SJR Q1FWCI 3.0Frontiers in Aging NeuroscienceOA

Estimating EEG-based network properties in the acute phase of ischemic stroke through a machine learning model has a potential to predict cognitive outcomes after ischemic stroke.

Cognitive NeuroscienceNeuroscience
9
논문|인용수 14·2018
Effects of an Online Mind–Body Training Program on the Default Mode Network: An EEG Functional Connectivity Study
Dasom Lee, Do‐Hyung Kang, Na-hyun Ha, Chang-young Oh, Ulsoon Lee, Seung Wan Kang
SJR Q1FWCI 1.7Scientific ReportsOA

Online mind-body training (MBT) programs can improve the psychological capabilities of practitioners. Although there has been a lot of effort to understand the neural mechanisms underlying the therapeutic effects of meditation, little is known about changes in electroencephalographic (EEG) functional connectivity that accompany mind-body training. The present study aimed to investigate how an online MBT program alters EEG functional connectivity in the default mode network (DMN). We assessed a g

Experimental and Cognitive PsychologyPsychology
10
논문|인용수 13·2022
Novel quantitative electroencephalogram feature image adapted for deep learning: Verification through classification of Alzheimer’s disease dementia
Taegyun Jeong, Ukeob Park, Seung Wan Kang
SJR Q2FWCI 1.4Frontiers in NeuroscienceOA

Quantitative electroencephalography (QEEG) analysis is commonly adopted for the investigation of various neurological disorders, revealing electroencephalogram (EEG) features associated with specific dysfunctions. Conventionally, topographies are widely utilized for spatial representation of EEG characteristics at specific frequencies or frequency bands. However, multiple topographies at various frequency bands are required for a complete description of brain activity. In consequence, use of top

Cognitive NeuroscienceNeuroscience
11
논문|인용수 6·2006
뉴로피드백을 이용한 공황장애 치료 -인지행동치료 및 약물치료에 실패한 공황장애 환자를 대상으로-
강승완, 이경미, 김세현, 박형배, 윤대현, 김문종, 이영진

연구배경: 불안장애를 포함한 다양한 정신질환들이 비정상적인 뇌파 활동과 관련이 있다는 보고가 있으며 뉴로피드백을 통한 뇌파 훈련이 범불안장애, 강박장애, 공포증, 외상후스트레스장애와 같은 대부분의 불안장애에 좋은 효과를 보여주고 있다. 그러나 뉴로피드백을 이용해서 공황장애를 치료한 선행연구는 매우 부족한 상태이다. 이 연구에서는 국내 최초로 기존의 인지행동 치료 및 약물 치료 후 재발한 공황장애 환자를 대상으로 뉴로피드백 치료 효과를 알아보고자 하였다. 방법: 2005년 3월부터 2005년 5월까지 서울소재 대학병원 뉴로피드백 클리닉에서 인지행동 치료 및 약물 치료 후 재발한 공황장애 환자 6명을 대상으로 개인별 20회의 뉴로피드백 치료를 시행하였다. 치료 효과는 K-APPQ, 공황발작의 강도 및 빈도, 복용약물의 변화, 주관적으로 두려운 상황에 대한 변화 등을 치료 전, 직후, 6개월 후에 평가하였다. 결과: 대상자 모두 20회의 뉴로피드백 치료를 마쳤으며 치료 후 공황 발작의

12
논문|인용수 5·2022
Prediction model for potential depression using sex and age-reflected quantitative EEG biomarkers
Taehyoung Kim, Ukeob Park, Seung Wan Kang
SJR Q1FWCI 0.6Frontiers in PsychiatryOA

Depression is a prevalent mental disorder in modern society, causing many people to suffer or even commit suicide. Psychiatrists and psychologists typically diagnose depression using representative tests, such as the Beck's Depression Inventory (BDI) and the Hamilton Depression Rating Scale (HDRS), in conjunction with patient consultations. Traditional tests, however, are time-consuming, can be trained on patients, and entailed a lot of clinician subjectivity. In the present study, we trained th

Cognitive NeuroscienceNeuroscience
13
논문|인용수 5·2022
Pathophysiological insight into transient global amnesia from quantitative electroencephalography
Keun‐Hwa Jung, Da-jin Kang, Woo‐Jin Lee, Hyoshin Son, Sohyun Kim, Seung Wan Kang
SJR Q1FWCI 0.5Neurobiology of DiseaseOA

Transient global amnesia (TGA) is recognized as a benign memory disorder, with characteristic clinical and imaging features. However, the pathophysiology of TGA remains elusive. This study aims to elucidate the pathophysiological changes underlying TGA by exploring the brain activities. In total, 215 patients with TGA (age: 61.8 ± 7.8 years; women: 146) with MRI (within 7 days) and EEG studies (within 90 days) were recruited. Quantitative EEG (QEEG) power spectra and network analysis were perfor

Cognitive NeuroscienceNeuroscience
14
논문|인용수 5·2011
Comparison of knowledge, attitude, and experience about complementary and alternative medicine between primary care physicians and academic physicians in Korea
Seung Wan Kang, Tae Guk Ha, Byong-Hee Cho, Sang Chul Lee, Dong Seok Han, Kyung‐Mi Lee, Seokyung Hahn
SJR Q4FWCI 3.7Journal of Korean Medical AssociationOA

D espite the recent increase in the use of complementary and alternative medicine (CAM) among the general population and patients, little is known about Korean physicians' attitudes about and interest in CAM. We conducted a web-based survey of knowledge, attitude, and experience in CAM among primary care physicians (PCPs) and academic physicians (APs) in Korea. A total of 826 physicians (341 PCPs and 485 APs) responded. Respondents in both groups felt that they were not sufficiently knowledgeabl

Complementary and alternative medicineMedicine
15
preprint|인용수 2·2023
Identifying Alzheimer’s Disease Dementia Through Ensemble Learning of Channel and Source Level Electroencephalogram Features
Yuseong Hong, Taegyun Jeong, Ukeob Park, Daekeun Kim, Young Chul Youn, Han Jo Kim, Seong-Hye Choi, Jee Hyang Jeong, Soo Jin Yoon, Kyung Won Park, Eun‐Joo Kim, Bora Yoon
Research SquareOA

Abstract Introduction: Alzheimer's disease dementia (ADD) has now become a crucial concern for modern society as a result of increased life expectancy. However, it is often difficult for a majority of the population to afford expensive medical imaging tests for accurate diagnosis. As a solution, quantitative analysis of electroencephalography (EEG) that aids in a sufficient description of brain activities can be employed as a cost-effective, safe and objective diagnostic tool. In the presented r

Cognitive NeuroscienceNeuroscience

대표 연구 분야

Cognitive NeurosciencePsychiatry and Mental healthCardiology and Cardiovascular MedicinePublic Health, Environmental and Occupational HealthExperimental and Cognitive PsychologyMolecular Biology

강승완 교수의 연구를 Nubint에서 더 깊이 살펴보세요

이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.