1.Pain Lateralization in Cluster Headache and Associated Clinical Factors
Soohyun CHO ; Mi Ji LEE ; Min Kyung CHU ; Jeong Wook PARK ; Heui-Soo MOON ; Pil-Wook CHUNG ; Jong-Hee SOHN ; Byung-Su KIM ; Daeyoung KIM ; Kyungmi OH ; Byung-Kun KIM ; Soo-Jin CHO
Journal of Clinical Neurology 2025;21(3):220-229
Background:
and Purpose The pain lateralization in cluster headache (CH) may be related to the asymmetry in the functions of the brain hemispheres. The right-sided dominance of pain in CH has been found inconsistently across studies, and so we aimed to characterize this and identify the factors influencing pain lateralization during current and previous bouts.
Methods:
This study enrolled 227 patients from the Korean Cluster Headache Registry between October 2018 and December 2020. We evaluated the side of pain during current and previous bouts, demographic features, and clinical characteristics, including handedness. Multivariable logistic regression analyses were performed to identify factors associated with the side of pain.
Results:
The 227 patients with CH included 131 (57.7%) with right-sided pain and 86 (37.9%) with left-sided pain during the current bout (p<0.001). The 189 patients with previous bouts of CH included 86.8% who consistently reported the same side of pain throughout multiple bouts (side-locked pain), with a higher prevalence of pain on the right than the left side (55.0% vs. 31.7%, p<0.001). Multivariable analyses revealed that higher age at diagnosis (odds ratio [OR]=1.045, p=0.031) and shorter CH attacks (OR=0.992, p=0.017) were associated with left-side-locked pain. However, handedness was not associated with the lateralization of leftside-locked pain.
Conclusions
This study has confirmed the predominance of right-sided pain throughout multiple CH bouts. We found that higher age at diagnosis and shorter CH attacks were associated with left-side-locked pain, suggesting that certain clinical factors are associated with the pain laterality. However, the underlying mechanisms linking these factors to lateralized pain remain unclear and therefore require further investigation.
2.Pain Lateralization in Cluster Headache and Associated Clinical Factors
Soohyun CHO ; Mi Ji LEE ; Min Kyung CHU ; Jeong Wook PARK ; Heui-Soo MOON ; Pil-Wook CHUNG ; Jong-Hee SOHN ; Byung-Su KIM ; Daeyoung KIM ; Kyungmi OH ; Byung-Kun KIM ; Soo-Jin CHO
Journal of Clinical Neurology 2025;21(3):220-229
Background:
and Purpose The pain lateralization in cluster headache (CH) may be related to the asymmetry in the functions of the brain hemispheres. The right-sided dominance of pain in CH has been found inconsistently across studies, and so we aimed to characterize this and identify the factors influencing pain lateralization during current and previous bouts.
Methods:
This study enrolled 227 patients from the Korean Cluster Headache Registry between October 2018 and December 2020. We evaluated the side of pain during current and previous bouts, demographic features, and clinical characteristics, including handedness. Multivariable logistic regression analyses were performed to identify factors associated with the side of pain.
Results:
The 227 patients with CH included 131 (57.7%) with right-sided pain and 86 (37.9%) with left-sided pain during the current bout (p<0.001). The 189 patients with previous bouts of CH included 86.8% who consistently reported the same side of pain throughout multiple bouts (side-locked pain), with a higher prevalence of pain on the right than the left side (55.0% vs. 31.7%, p<0.001). Multivariable analyses revealed that higher age at diagnosis (odds ratio [OR]=1.045, p=0.031) and shorter CH attacks (OR=0.992, p=0.017) were associated with left-side-locked pain. However, handedness was not associated with the lateralization of leftside-locked pain.
Conclusions
This study has confirmed the predominance of right-sided pain throughout multiple CH bouts. We found that higher age at diagnosis and shorter CH attacks were associated with left-side-locked pain, suggesting that certain clinical factors are associated with the pain laterality. However, the underlying mechanisms linking these factors to lateralized pain remain unclear and therefore require further investigation.
3.Pain Lateralization in Cluster Headache and Associated Clinical Factors
Soohyun CHO ; Mi Ji LEE ; Min Kyung CHU ; Jeong Wook PARK ; Heui-Soo MOON ; Pil-Wook CHUNG ; Jong-Hee SOHN ; Byung-Su KIM ; Daeyoung KIM ; Kyungmi OH ; Byung-Kun KIM ; Soo-Jin CHO
Journal of Clinical Neurology 2025;21(3):220-229
Background:
and Purpose The pain lateralization in cluster headache (CH) may be related to the asymmetry in the functions of the brain hemispheres. The right-sided dominance of pain in CH has been found inconsistently across studies, and so we aimed to characterize this and identify the factors influencing pain lateralization during current and previous bouts.
Methods:
This study enrolled 227 patients from the Korean Cluster Headache Registry between October 2018 and December 2020. We evaluated the side of pain during current and previous bouts, demographic features, and clinical characteristics, including handedness. Multivariable logistic regression analyses were performed to identify factors associated with the side of pain.
Results:
The 227 patients with CH included 131 (57.7%) with right-sided pain and 86 (37.9%) with left-sided pain during the current bout (p<0.001). The 189 patients with previous bouts of CH included 86.8% who consistently reported the same side of pain throughout multiple bouts (side-locked pain), with a higher prevalence of pain on the right than the left side (55.0% vs. 31.7%, p<0.001). Multivariable analyses revealed that higher age at diagnosis (odds ratio [OR]=1.045, p=0.031) and shorter CH attacks (OR=0.992, p=0.017) were associated with left-side-locked pain. However, handedness was not associated with the lateralization of leftside-locked pain.
Conclusions
This study has confirmed the predominance of right-sided pain throughout multiple CH bouts. We found that higher age at diagnosis and shorter CH attacks were associated with left-side-locked pain, suggesting that certain clinical factors are associated with the pain laterality. However, the underlying mechanisms linking these factors to lateralized pain remain unclear and therefore require further investigation.
4.Hyperarousal-state of Insomnia Disorder in Wake-resting State Quantitative Electroencephalography
Gyutae JANG ; Han Wool JUNG ; Jiheon KIM ; Hansol KIM ; Ji‑Hyeon SHIN ; Chan-Hyung KIM ; Do-Hoon KIM ; Sang-Kyu LEE ; Daeyoung ROH
Clinical Psychopharmacology and Neuroscience 2024;22(1):95-104
Objective:
Insomnia is associated with elevated high-frequency electroencephalogram power in the waking state. Although affective symptoms (e.g., depression and anxiety) are commonly comorbid with insomnia, few reports distinguished objective sleep disturbance from affective symptoms. In this study, we investigated whether daytime electroencephalographic activity explains insomnia, even after controlling for the effects of affective symptoms.
Methods:
A total of 107 participants were divided into the insomnia disorder (n = 58) and healthy control (n = 49) groups using the Mini-International Neuropsychiatric Interview and diagnostic criteria for insomnia disorder. The participants underwent daytime resting-state electroencephalography sessions (64 channels, eye-closed).
Results:
The insomnia group showed higher levels of anxiety, depression, and insomnia than the healthy group, as well as increased beta [t(105) = −2.56, p = 0.012] and gamma [t(105) = −2.44, p = 0.016] spectra. Among all participants, insomnia symptoms positively correlated with the intensity of beta (r = 0.28, p < 0.01) and gamma (r = 0.25, p < 0.05) spectra. Through hierarchical multiple regression, the beta power showed the additional ability to predict insomnia symptoms beyond the effect of anxiety (ΔR2 = 0.041, p = 0.018).
Conclusion
Our results showed a significant relationship between beta electroencephalographic activity and insomnia symptoms, after adjusting for other clinical correlates, and serve as further evidence for the hyperarousal theory of insomnia. Moreover, resting-state quantitative electroencephalography may be a supplementary tool to assess insomnia.
5.Clinical Utility of Impact of Event Scale–Revised for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition Posttraumatic Stress Disorder
Soyeon CHANG ; Won-Hyoung KIM ; Young-Eun JUNG ; Daeyoung ROH ; Daeho KIM ; Jeong-Ho CHAE ; Joo Eon PARK
Psychiatry Investigation 2024;21(8):870-876
Objective:
The Impact of Event Scale–Revised (IES-R) is a widely used self-report for assessing posttraumatic stress disorder (PTSD), originally aligned with Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV diagnostic criteria. This study aimed to evaluate the applicability of the IES-R under the DSM-5 guidelines and establish a cutoff point for DSM-5 PTSD diagnosis.
Methods:
A total of 238 participants recruited from multiple psychiatric centers, including 67 patients with PTSD, 72 patients with psychiatric controls, and 99 healthy controls, were included in the study. All participants completed the Korean version of the Structured Clinical Interview for the DSM-5 research version to confirm the presence of PTSD, the Korean version of PTSD Checklist for DSM-5 (PCL-5), the Beck Depression Inventory-II, the Beck Anxiety Inventory, and the Spielberger State Trait Anxiety Inventory.
Results:
The IES-R demonstrated good internal consistency and a high correlation with the PCL-5. Through factor analysis, 5 distinct dimensions emerged within the IES-R: sleep disturbance, intrusion, hyperarousal, avoidance, and numbness-dissociation. A proposed cutoff score of 25 on the IES-R was suggested for identifying patients with PTSD.
Conclusion
These findings underscore the scale’s concurrent validity with the DSM-5 PTSD criteria and its effectiveness as a screening tool. Implementing a cutoff score of 25 on the IES-R can enhance its utility in identifying DSM-5 PTSD cases.
6.Public Perception Towards Drug Abuse in South Korea: The Effects of Overconfidence and Affirmation
Ki Won JANG ; Jiheon KIM ; Han Wool JUNG ; Sang-Kyu LEE ; Byung Joo PARK ; Hoon-Chul KANG ; Chan-Hyung KIM ; Hae Kook LEE ; Daeyoung ROH
Psychiatry Investigation 2024;21(7):746-754
Objective:
The abuse of prescription drugs and over-the-counter medicines has been a major issue addressed as a serious public health problem worldwide. This study explored factors contributing to substance abuse in Korea by examining the status of substance abuse among Korean adults and evaluating their knowledge, attitudes, and intentions toward substance abuse.
Methods:
Data were collected online from a sample of participants 19 years old or older from May 20 to June 1, 2020 (n=1,020). The survey consisted of questions on demographics, perceptions of drug risk, motives for drug use, and attitudes toward drug addiction treatment. Principal component and multiple logistic regression analyses were used to explore the factors contributing to the perception of drug abuse.
Results:
In the multivariate regression analysis, overconfidence in handling drug usage, acceptance of addictive substances, and affirmation of public support for drug abuse were associated with opioid abuse (Nagelkerke R2=0.486), and additionally affirmation of legal cannabis usage and motivation to use diet pills were associated with diet pill abuse (Nagelkerke R2=0.569).
Conclusion
The findings of this study suggest that the actual situation of substance abuse among Korean adults increases awareness of and attitudes toward drug use related to substance abuse.
7.Social Stigma and Discrimination Toward People With Drug Addiction: A National Survey in Korea
Ki Won JANG ; Hae Kook LEE ; Byung Joo PARK ; Hoon-Chul KANG ; Sang-Kyu LEE ; Chan-Hyung KIM ; Sang Kyu NAM ; Daeyoung ROH
Psychiatry Investigation 2023;20(7):671-680
Objective:
This study aims to understand the attitudes, stigma, and discrimination of the general adult population toward drug addiction.
Methods:
We conducted a cross-sectional nationwide survey with 1,020 Korean adults using an Internet web-based panel. Self-reported data were collected on demographics, experience with substance abuse, perceptions of narcotic analgesic use, beliefs about the legalization of cannabis use, coping with substance abuse and addiction, and perceptions of drug risks. All statistical analysis in this study utilized the IBM SPSS Statistics 26 program.
Results:
In this study, 1.6% of the participants reported abuse of opioid analgesics, 88.0% reported negative perceptions of drug addiction, and 76.9% reported agreeing to unfair treatment of drug addicts. Logistic regression analysis found that perceived stigma was more prevalent among women (odd ratio [OR]=2.087, p<0.01), old adults (OR=1.939, p<0.01), those with no personal experience of opioid misuse (OR=8.172, p<0.05), and those who were non-smoking (OR=2.011, p<0.01). In addition, the discriminatory attitude was more prevalent among participants with higher income (OR=1.989, p<0.001) and those who are non-smoking (OR=1.608, p<0.05).
Conclusion
This study provides information and guidelines for public intervention in drug addiction by identifying factors influencing social stigma and discriminatory behaviors toward drug addiction. The findings suggest that education on drug addiction prevention for the general adult population is necessary, and this education should include knowledge on coping with drug addiction and reducing stigma and discrimination toward drug addicts.
8.A novel IRAK4/PIM1 inhibitor ameliorates rheumatoid arthritis and lymphoid malignancy by blocking the TLR/MYD88-mediated NF-κB pathway.
Sae-Bom YOON ; Hyowon HONG ; Hee-Jong LIM ; Ji Hye CHOI ; Yoon Pyo CHOI ; Seong Wook SEO ; Hyuk Woo LEE ; Chong Hak CHAE ; Woo-Kyu PARK ; Hyun Young KIM ; Daeyoung JEONG ; Tran Quang DE ; Chang-Seon MYUNG ; Heeyeong CHO
Acta Pharmaceutica Sinica B 2023;13(3):1093-1109
Interleukin-1 receptor-associated kinase 4 (IRAK4) is a pivotal enzyme in the Toll-like receptor (TLR)/MYD88 dependent signaling pathway, which is highly activated in rheumatoid arthritis tissues and activated B cell-like diffuse large B-cell lymphoma (ABC-DLBCL). Inflammatory responses followed by IRAK4 activation promote B-cell proliferation and aggressiveness of lymphoma. Moreover, proviral integration site for Moloney murine leukemia virus 1 (PIM1) functions as an anti-apoptotic kinase in propagation of ABC-DLBCL with ibrutinib resistance. We developed a dual IRAK4/PIM1 inhibitor KIC-0101 that potently suppresses the NF-κB pathway and proinflammatory cytokine induction in vitro and in vivo. In rheumatoid arthritis mouse models, treatment with KIC-0101 significantly ameliorated cartilage damage and inflammation. KIC-0101 inhibited the nuclear translocation of NF-κB and activation of JAK/STAT pathway in ABC-DLBCLs. In addition, KIC-0101 exhibited an anti-tumor effect on ibrutinib-resistant cells by synergistic dual suppression of TLR/MYD88-mediated NF-κB pathway and PIM1 kinase. Our results suggest that KIC-0101 is a promising drug candidate for autoimmune diseases and ibrutinib-resistant B-cell lymphomas.
9.Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer
Young-Gon KIM ; In Hye SONG ; Seung Yeon CHO ; Sungchul KIM ; Milim KIM ; Soomin AHN ; Hyunna LEE ; Dong Hyun YANG ; Namkug KIM ; Sungwan KIM ; Taewoo KIM ; Daeyoung KIM ; Jonghyeon CHOI ; Ki-Sun LEE ; Minuk MA ; Minki JO ; So Yeon PARK ; Gyungyub GONG
Cancer Research and Treatment 2023;55(2):513-522
Purpose:
Assessing the metastasis status of the sentinel lymph nodes (SLNs) for hematoxylin and eosin–stained frozen tissue sections by pathologists is an essential but tedious and time-consuming task that contributes to accurate breast cancer staging. This study aimed to review a challenge competition (HeLP 2019) for the development of automated solutions for classifying the metastasis status of breast cancer patients.
Materials and Methods:
A total of 524 digital slides were obtained from frozen SLN sections: 297 (56.7%) from Asan Medical Center (AMC) and 227 (43.4%) from Seoul National University Bundang Hospital (SNUBH), South Korea. The slides were divided into training, development, and validation sets, where the development set comprised slides from both institutions and training and validation set included slides from only AMC and SNUBH, respectively. The algorithms were assessed for area under the receiver operating characteristic curve (AUC) and measurement of the longest metastatic tumor diameter. The final total scores were calculated as the mean of the two metrics, and the three teams with AUC values greater than 0.500 were selected for review and analysis in this study.
Results:
The top three teams showed AUC values of 0.891, 0.809, and 0.736 and major axis prediction scores of 0.525, 0.459, and 0.387 for the validation set. The major factor that lowered the diagnostic accuracy was micro-metastasis.
Conclusion
In this challenge competition, accurate deep learning algorithms were developed that can be helpful for making a diagnosis on intraoperative SLN biopsy. The clinical utility of this approach was evaluated by including an external validation set from SNUBH.
10.Longitudinal Trends in Sleep and Related Factors Among South Korean Adults From 2009 to 2018
Jee-Eun YOON ; Dana OH ; Inha HWANG ; Jung A PARK ; Hee-Jin IM ; Daeyoung KIM ; Kwang Ik YANG ; Min Kyung CHU ; Chang-Ho YUN
Journal of Clinical Neurology 2023;19(4):392-401
Background:
and Purpose Excess or insufficient sleep, irregular sleep-wake patterns, and an extreme early or late chronotypes adversely impact physical and mental health. Changes in sleep characteristics should therefore be tracked, and factors that contribute to poor sleep should be identified. We investigated the changes in sleep patterns among South Korean adults during 2009–2018.
Methods:
Using data of a representative sample of South Korean adults from the 2009 (n= 2,658, 48.5% males; age=44.5±15.0 years old [mean±standard deviation], age range=19–86 years) and 2018 (n=2,389, 49.1% males; age=47.9±16.3 years, age range=19–92 years) Korean Headache-Sleep Study, we explored changes in sleep timing, sleep duration, chronotype, and social jetlag (SJL). Logistic regression analysis was used to examine the association between average sleep duration and depression.
Results:
From 2009 to 2018, bedtimes were advanced by 10 and 25 min on workdays and free days, respectively. Meanwhile, wake-up times were advanced by 13 min and delayed by 12 min on workdays and free days, respectively. The average sleep duration significantly decreased from 7.45 h to 7.13 h. The prevalence of short sleep duration (<7 h) increased, whereas that of long sleep duration (≥8 h) decreased. A circadian preference toward eveningness and SJL increased. The prevalence of depression increased from 4.6% to 8.4%, and there were significant reverse J-shaped and U-shaped associations between average sleep duration and depression in 2009 and 2018, respectively.
Conclusions
Changes in sleep patterns and the association between sleep duration and depressive mood were determined from a representative sample of the South Korean adult population. Interventions to modify sleep behaviors might improve public health.

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