https://ir.ymlib.yonsei.ac.kr/handle/22282913/168928 2026-04-15T11:18:59Z 2026-04-15T11:18:59Z Kim, Hesun Erin Kim, Byung-Hoon Cho, Yesol Ko, Yujin Kim, Jae-Jin https://ir.ymlib.yonsei.ac.kr/handle/22282913/211871 2026-04-14T07:23:12Z 2026-08-01T00:00:00Z

Title: Impact of social media use in static and dynamic functional network connectivity of social anxiety disorder Authors: Kim, Hesun Erin; Kim, Byung-Hoon; Cho, Yesol; Ko, Yujin; Kim, Jae-Jin Abstract: Although social media use patterns are related to social anxiety disorder (SAD), their modulatory relationship with functional network connectivity (FNC) change remains unexplored. This study aims to address this question by utilizing static and dynamic FNC analyses. Using resting-state fMRI data from 45 SAD patients and 43 healthy controls (HC) across two acquisition timepoints (baseline, 2-month follow-up), we examined static and dynamic FNC. Standard region-of-interest (ROI)-to-ROI analysis was performed for static FNC. Dynamic FNC was analyzed using sliding-window and kmeans clustering approach. Social media usage was differentiated between messaging (MSG) and social platform (SP) across four time-of-day segments. Influences of digital social behavior were assessed through correlation analysis. Patients showed decreased static connectivity within cognitive control networks, particularly involving the default mode network. Dynamic FNC analysis identified four brain states, with SAD showing altered temporal dynamics. Specifically, patients exhibited abnormalities in the temporal properties of State 1, characterized as an internally focused state linked to self-referential processing. Lowered State 1 occurrence at follow-up was associated with higher social media use-MSG use in HC and SP use in SAD. Greater SP use was related to increased engagements of an externally vigilant state (State 3) in SAD. Aberrant temporal properties in SAD illustrate difficulties disengaging from maladaptive self-referential processing and a propensity toward heightened sensory vigilance. Furthermore, social media use, particularly content-based SP, may modulate brain dynamics related to introspection and external processing among patients. The findings underscore comprehensive neurobiological underpinnings of SAD and impacts of digital social behavior.

2026-08-01T00:00:00Z Lee, Sung-Ha Lim, Hojun Kim, Kipoong Youm, Yoosik Kim, Eunjoo https://ir.ymlib.yonsei.ac.kr/handle/22282913/211533 2026-03-27T02:13:12Z 2026-07-01T00:00:00Z

Title: Extraversion as a mediator of genetic effects on positive affect in Korean adolescent girls Authors: Lee, Sung-Ha; Lim, Hojun; Kim, Kipoong; Youm, Yoosik; Kim, Eunjoo Abstract: Recent genomic findings provide evidence for genetic variation underlying individual differences in well-being, yet the mechanisms through which genetic factors translate into emotional experiences remain poorly understood. Accordingly, this study aims to examine whether a polygenic score (PGS) correlates with positive emotions, thereby addressing the genetic basis of emotional well-being. Moreover, based on prior evidence linking extraversion to both genetic predispositions and positive emotions, we further examined whether extraversion mediates this relationship. Using the PGS for happiness derived from a recent genome-wide association study conducted with Korean populations, we assessed the genetic basis of happiness in relation to positive affect among Korean adolescent girls (N = 211, Mean age = 15.8 yrs (SD = 0.3 yrs)). Mediation analysis revealed a significant indirect effect of happiness PGS on positive affect through extraversion, but no significant direct effect. These findings suggest that genetic influences on well-being exert their effects through personality traits rather than directly modulating emotional states, underscoring the importance of considering mediating psychological constructs in genetic models of well-being.

2026-07-01T00:00:00Z Kabbani, Abdallah Passler, Mona Park, Kyungmee Lee, Eun Lee, Yujin Jansen, Marc Moon, Daa Un https://ir.ymlib.yonsei.ac.kr/handle/22282913/211762 2026-04-06T00:14:11Z 2026-06-01T00:00:00Z

Title: Culturally adapted digital cognitive behavioral therapy for insomnia in South Korea-a double-blind randomized controlled trial Authors: Kabbani, Abdallah; Passler, Mona; Park, Kyungmee; Lee, Eun; Lee, Yujin; Jansen, Marc; Moon, Daa Un Abstract: Culturally adapted digital cognitive behavioral therapy for insomnia (dCBT-I) has the potential to enhance engagement and treatment outcomes, yet its efficacy compared to patient education (PE) remains understudied. This multicenter, double-blind, randomized controlled trial evaluated dCBT-I versus a PE application in individuals with chronic insomnia in South Korea. The primary outcome was Insomnia Severity Index (ISI) scores. Secondary and exploratory outcomes included sleep diary measures, self-reported scales assessing sleep quality, maladaptive sleep-related beliefs, daytime sleepiness, anxiety, and depressive symptoms. Of 52 participants (mean [SD] age, 38.6 [12.4] years; 64% female), 27 were randomized to digital cognitive behavioral therapy for insomnia (dCBT-I) and 25 to patient education (PE). Post-intervention data were available for 50 participants (dCBT-I: n = 25; PE: n = 25). Further exploratory 3-month follow-up data were available for 25 participants in the dCBT-I group. Both groups showed significant within-group improvements in ISI scores, with no significant between-group differences. The dCBT-I group demonstrated greater improvements in sleep quality (PSQI: Cohen = 1.02, P = .012) and maladaptive sleep-related beliefs (DBAS-16: Cohen d = 1.24, P = .003). Sleep diary data indicated significant reductions in sleep onset latency (Cohen d =-0.15, P = .005) and increases in sleep efficiency (Cohen d = 0.16, P = .003) in the dCBT-I group. Adherence to dCBT-I was high (89% completed all modules), and satisfaction ratings were higher than in the PE group. While both interventions improved insomnia severity, dCBT-I provided additional benefits in sleep-related outcomes, supporting the feasibility and potential clinical utility of this culturally adapted intervention. Clinical Trial Registration: https://clinicaltrials.gov/study/NCT05822999, ClinicalTrials.gov (NCT05822999).

2026-06-01T00:00:00Z Lee, Wonhee Choi, Seung-Ick Hong, Kyung Pyo Kang, Yu Joo Yang, Huiwoo Park, Jin Young Kim, Na Young https://ir.ymlib.yonsei.ac.kr/handle/22282913/211460 2026-03-25T07:07:00Z 2026-03-01T00:00:00Z

Title: Promoting Rehabilitation Using a Multimodal Internet of Things-Based Patient Monitoring System in a Smart Hospital Authors: Lee, Wonhee; Choi, Seung-Ick; Hong, Kyung Pyo; Kang, Yu Joo; Yang, Huiwoo; Park, Jin Young; Kim, Na Young Abstract: Objective: Continuous monitoring of patients' physical and psychological status using wearable sensors and Internet of Things platforms may enhance rehabilitation. We aimed to assess the feasibility of an Internet of Things-based smart hospital system integrating multi-source data to support individualized rehabilitation in patients with gait disturbances. Methods: We conducted a single-center feasibility study at Yongin Severance Hospital, Korea, including 15 inpatients with subacute central nervous system injuries (mean age, $60.9\pm 16.7$ years). The system integrated smart insoles, smart bands, real-time location system data, and mobile application data into the electronic medical record. Gait parameters, including step count, walking distance, gait speed, stride length, and symmetry, were measured during self-exercise. The app collected self-reported scores on pain, anxiety, depression, appetite, sleep, and general condition. Compliance, patient satisfaction, and nurses' qualitative feedback were analyzed descriptively. Results: Monitoring lasted 17.0 +/- 12.6 days. Patients averaged 7, 323 +/- 5,520 steps/day and walked 3,910 +/- 3,198 m/day; 87% showed reduced stride length and 27% had marked gait asymmetry. Application-based symptom monitoring enabled tailored interventions, including medication adjustments and referrals. Smart band data were sometimes incomplete owing to recording errors. Operational challenges included battery depletion, data transfer interruptions, and device registration errors. Overall satisfaction averaged 4.28/5; comfort rated the highest, durability the lowest. Nurses valued real-time condition detection and improved self-report honesty but noted increased workload. Conclusion: Implementing an Internet of Things-based system that integrates wearable and self-reported data into an electronic medical record is feasible in inpatient rehabilitation, facilitating individualized feedback and clinical decision-making while maintaining high patient adherence and satisfaction. Clinical Impact-This study shows the feasibility of an IoT-based smart hospital system integrating multisource data into EMRs, enabling personalized rehabilitation, improving clinical decision-making, and supporting scalable digital healthcare models.

2026-03-01T00:00:00Z