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Jeon Hong-jin

Sungkyunkwan University · 医学

研究室紹介

Professor Jeon Hong-jin's research lab specializes in digital mental health interventions, focusing on the application of virtual reality (VR) and wearable technologies for the assessment, monitoring, and treatment of psychiatric disorders. The lab investigates objective biomarkers—particularly heart rate variability (HRV)—to improve the diagnosis and management of major depressive disorder and anxiety-related conditions. A key research direction involves evaluating the efficacy of VR-based exposure and relaxation therapies in reducing stress and psychiatric symptoms, alongside exploring real-time, sensor-based monitoring using smartwatches and fitness trackers.

virtual reality therapywearable sensorsdepression monitoringheart rate variabilitydigital mental health

Research Overview

Papers
377
Total Citations
9,347
Papers (5y)
124
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
124total
2022
2023
2024
2025
2026
Citations per year (5y)
693total
20222023202420252026

Selected Papers

15
1
Review|416 citations·2019
A Literature Overview of Virtual Reality (VR) in Treatment of Psychiatric Disorders: Recent Advances and Limitations
Mi Jin Park, Dong Jun Kim, Unjoo Lee, Eun Jin Na, Hong Jin Jeon
SJR Q1Frontiers in PsychiatryOA

In this paper, we conduct a literature survey on various virtual reality (VR) treatments in psychiatry. We collected 36 studies that used VR to provide clinical trials or therapies for patients with psychiatric disorders. In order to gain a better understanding of the management of pain and stress, we first investigate VR applications for patients to alleviate pain and stress during immersive activities in a virtual environment. VR exposure therapies are particularly effective for anxiety, provo

Human-Computer InteractionComputer Science
2
Article|209 citations·2007
Lifetime and 12-Month Prevalence of DSM-IV Psychiatric Disorders Among Korean Adults
Maeng Je Cho, Jang-Kyu Kim, Hong Jin Jeon, Tongwoo Suh, In‐Won Chung, Jin Pyo Hong, Jae Nam Bae, Dong Woo Lee, Jong‐Ik Park, Seong‐Jin Cho, Choong-Koung Lee, Bong‐Jin Hahm
SJR Q3The Journal of Nervous and Mental Disease

The objective was to estimate the prevalence and correlates of psychiatric disorders in a nationwide sample of Korean adults. Face-to-face interviews were conducted with the Korean version of Composite International Diagnostic Interview 2.1/DSM-IV (N = 6275, response rate 79.8%). The lifetime and 12-month prevalences for all types of DSM-IV disorders were 33.5% and 20.6%, respectively. Those of specific disorders were as follows: 17.2% and 7.1% for alcohol use disorder, 11.2% and 7.4% for nicoti

Social PsychologyPsychology
3
Article|179 citations·2016
Effects of smartphone use with and without blue light at night in healthy adults: A randomized, double-blind, cross-over, placebo-controlled comparison
Jung-Yoon Heo, Kiwon Kim, Maurizio Fava, David Mischoulon, George I. Papakostas, Min‐Ji Kim, Dong Jun Kim, Kyung-Ah Judy Chang, Yunhye Oh, Bum‐Hee Yu, Hong Jin Jeon
SJR Q1Journal of Psychiatric Research
Endocrine and Autonomic SystemsNeuroscience
4
Article|139 citations·2010
Lifetime Prevalence and Correlates of Suicidal Ideation, Plan, and Single and Multiple Attempts in a Korean Nationwide Study
Hong Jin Jeon, Jun‐Young Lee, Young Moo Lee, Jin Pyo Hong, Seunghee Won, Seong‐Jin Cho, Jin-Yeong Kim, Sung Man Chang, Dongsoo Lee, Hae Woo Lee, Maeng Je Cho
SJR Q3The Journal of Nervous and Mental Disease

This was the first Korean national study to evaluate prevalence and correlates of suicidal behavior, and to compare multiple and single attempts. A total of 6510 adults completed face-to-face interviews (response rate, 81.7%) through randomly chosen one-person-per-households. Lifetime prevalence and correlates were evaluated with the Korean version of Composite International Diagnostic Interview (K-CIDI), and a questionnaire to inquire about suicidal behaviors. The lifetime prevalence of suicida

Clinical PsychologyPsychology
5
Article|116 citations·2019
Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol
Sangwon Byun, Ah Young Kim, Eun Hye Jang, Seunghwan Kim, Kwan Woo Choi, Han Young Yu, Hong Jin Jeon
SJR Q1Computers in Biology and MedicineOA

BACKGROUND: Major depressive disorder (MDD) is one of the leading causes of disability; however, current MDD diagnosis methods lack an objective assessment of depressive symptoms. Here, a machine learning approach to separate MDD patients from healthy controls was developed based on linear and nonlinear heart rate variability (HRV), which reflects the autonomic cardiovascular regulation. METHODS: HRV data were collected from 37 MDD patients and 41 healthy controls during five 5-min experimental

Cardiology and Cardiovascular MedicineMedicine
6
Article|116 citations·2021
Effect of Virtual Reality on Stress Reduction and Change of Physiological Parameters Including Heart Rate Variability in People With High Stress: An Open Randomized Crossover Trial
Hyewon Kim, Dong Jun Kim, Seonwoo Kim, Won Ho Chung, Kyung‐Ah Park, James D. K. Kim, Dowan Kim, Min Ji Kim, Ki-Won Kim, Hong Jin Jeon
SJR Q1Frontiers in PsychiatryOA

Introduction: Although, attempts to apply virtual reality (VR) in mental healthcare are rapidly increasing, it is still unclear whether VR relaxation can reduce stress more than conventional biofeedback. Methods: Participants consisted of 83 healthy adult volunteers with high stress, which was defined as a score of 20 or more on the Perceived Stress Scale-10 (PSS-10). This study used an open, randomized, crossover design with baseline, stress, and relaxation phases. During the stress phase, part

Cardiology and Cardiovascular MedicineMedicine
7
Review|114 citations·2021
Current Advances in Wearable Devices and Their Sensors in Patients With Depression
Seunggyu Lee, Hyewon Kim, Mi Jin Park, Hong Jin Jeon
SJR Q1Frontiers in PsychiatryOA

In this study, a literature survey was conducted of research into the development and use of wearable devices and sensors in patients with depression. We collected 18 studies that had investigated wearable devices for assessment, monitoring, or prediction of depression. In this report, we examine the sensors of the various types of wearable devices (e.g., actigraphy units, wristbands, fitness trackers, and smartwatches) and parameters measured through sensors in people with depression. In additi

Applied PsychologyPsychology
8
Article|107 citations·2017
Reduced orbitofrontal-thalamic functional connectivity related to suicidal ideation in patients with major depressive disorder
Kiwon Kim, Sung-Woo Kim, Woojae Myung, Cheol E. Han, Maurizio Fava, David Mischoulon, George I. Papakostas, Sang Won Seo, Hana Cho, Joon‐Kyung Seong, Hong Jin Jeon
SJR Q1Scientific ReportsOA

Despite recent developments in neuroimaging, alterations of brain functional connectivity in major depressive disorder (MDD) patients with suicidal ideation are poorly understood. This study investigated specific changes of suicidal ideation in functional connectivity of MDD patients. Whole brain functional connectivity in 46 patients with MDD (23 with suicidal ideation and 23 without) and 36 age- and gender- matched healthy controls were compared using resting-state functional Magnetic Resonanc

Cognitive NeuroscienceNeuroscience
9
Article|104 citations·2010
Unplanned versus planned suicide attempters, precipitants, methods, and an association with mental disorders in a Korea-based community sample
Hong Jin Jeon, Jun‐Young Lee, Young Moo Lee, Jin Pyo Hong, Seunghee Won, Seong‐Jin Cho, Jin-Yeong Kim, Sung Man Chang, Hae Woo Lee, Maeng Je Cho
SJR Q1Journal of Affective Disorders
Clinical PsychologyPsychology
10
Article|103 citations·2011
Depression and suicide
Hong Jin Jeon
SJR Q4Journal of Korean Medical AssociationOA

S uicide is the fourth leading cause of death in South Korea, which is the highest rate among the Organization for Economic Cooperation and Development member countries. The World Health Organization worldwide initiative for the prevention of suicide reported that there are at least 20 suicide attempts for every suicide committed. The lifetime prevalence of suicidal ideation, planning, and attempts in South Korea was 15.2%, 3.3%, and 3.2% (single 2.1% and multiple 1.1%), respectively. Suicide at

Clinical PsychologyPsychology
11
Article|99 citations·2014
Serum lipids, recent suicide attempt and recent suicide status in patients with major depressive disorder
Ji Hyun Baek, Eun‐Suk Kang, Maurizio Fava, David Mischoulon, Andrew A. Nierenberg, Bum‐Hee Yu, Dongsoo Lee, Hong Jin Jeon
SJR Q1Progress in Neuro-Psychopharmacology and Biological Psychiatry
Cardiology and Cardiovascular MedicineMedicine
12
Article|99 citations·2017
Internet Game Addiction, Depression, and Escape From Negative Emotions in Adulthood
Dong Jun Kim, Kiwon Kim, Haewoo Lee, Jin-Pyo Hong, Maeng Je Cho, Maurizio Fava, David Mischoulon, Jung-Yoon Heo, Hong Jin Jeon
SJR Q3The Journal of Nervous and Mental Disease

The aim of this study was to investigate the association between adult Internet game addiction (IGA) and mental disorders. A total of 1401 adults aged between 18 and 74 years participated in this study. The IGA group had significantly younger patients, and it showed a higher proportion of unmarried and unemployed adults, and higher rates of suicidal ideation, plan, and attempt than the non-IGA group. Multivariate logistic regression indicated that IGA was significantly associated with major depr

Sociology and Political ScienceSocial Sciences
13
Article|98 citations·2016
Reduced frontal-subcortical white matter connectivity in association with suicidal ideation in major depressive disorder
Woojae Myung, Cheol E. Han, Maurizio Fava, David Mischoulon, George I. Papakostas, J-Y Heo, Kyung‐Woon Kim, S. T. Kim, D J H Kim, D. K. Kim, Sang Won Seo, J-K Seong
SJR Q1Translational PsychiatryOA

Major depressive disorder (MDD) and suicidal behavior have been associated with structural and functional changes in the brain. However, little is known regarding alterations of brain networks in MDD patients with suicidal ideation. We investigated whether or not MDD patients with suicidal ideation have different topological organizations of white matter networks compared with MDD patients without suicidal ideation. Participants consisted of 24 patients with MDD and suicidal ideation, 25 age- an

Cognitive NeuroscienceNeuroscience
14
Article|91 citations·2021
Clinical predictors of cybersickness in virtual reality (VR) among highly stressed people
Hyewon Kim, Dong Jun Kim, Won Ho Chung, Kyung‐Ah Park, James D. K. Kim, Dowan Kim, Kiwon Kim, Hong Jin Jeon
SJR Q1Scientific ReportsOA

The use of virtual reality (VR) in the treatment of psychiatric disorders is increasing, and cybersickness has emerged as an important obstacle to overcome. However, the clinical factors affecting cybersickness are still not well understood. In this study, we investigated clinical predictors and adaptation effect of cybersickness during VR application in highly stressed people. Eighty-three healthy adult participants with high stress level were recruited. At baseline, we conducted psychiatric, o

Human-Computer InteractionComputer Science
15
Article|87 citations·2009
Prevalence, clinical correlations, comorbidities, and suicidal tendencies in pathological Korean gamblers: results from the Korean Epidemiologic Catchment Area Study
Subin Park, Maeng Je Cho, Hong Jin Jeon, Hae Woo Lee, Jae Nam Bae, Jong Ik Park, Jee Hoon Sohn, You Ra Lee, Jun‐Young Lee, Jin Pyo Hong
SJR Q1Social Psychiatry and Psychiatric Epidemiology
Clinical PsychologyPsychology

Research Areas

Clinical PsychologyPsychiatry and Mental healthPharmacologySociology and Political ScienceExperimental and Cognitive PsychologyCardiology and Cardiovascular Medicine

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