Publications by authors named "Jun-Soo Kwon"

Objective: Obsessive-compulsive disorder (OCD) is associated with altered brain function related to processing of negative emotions. To investigate neural correlates of negative valence in OCD, we pooled functional magnetic resonance imaging data of 633 individuals with OCD and 453 healthy control participants from 16 studies using different negatively valenced tasks across the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium's OCD Working Group.

Methods: Participant data were processed uniformly using HALFpipe, to extract voxelwise participant-level statistical images of one common first-level contrast: negative versus neutral stimuli.

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Objective: To identify the COVID-19 pandemic impact on well-being/mental health, coping strategies, and risk factors in adolescents worldwide.

Method: This study was based on an anonymous online multi-national/multi-language survey in the general population (representative/weighted non-representative samples, 14-17 years of age), measuring change in well-being (World Health Organization-Five Well-Being Index [WHO-5]/range = 0-100) and psychopathology (validated composite P-score/range = 0-100), WHO-5 <50 and <29, pre- vs during COVID-19 pandemic (April 26, 2020-June 26, 2022). Coping strategies and 9 a priori- defined individual/cumulative risk factors were measured.

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Background: To clarify if blood proteins can predict disease progression among individuals at clinical high-risk of severe mental illness (CHR-SMI), we developed a statistical model incorporating clinical and blood protein markers to distinguish the transition group (who developed severe mental illness) (CHR-SMI-T) and from non-transition group (CHR-SMI-NT) at baseline.

Methods: Ninety individuals (74 at CHR-SMI: 16 patients) were monitored for ≤4 years and were the focus of predictive models. Three predictive models (1 [100 clinical variables], 2 [158 peptides], and 3 [100 clinical variables +158 peptides]) were evaluated using area under the receiver operating characteristic (AUROC) values.

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Article Synopsis
  • The COH-FIT study is a large, multi-country survey aimed at identifying factors affecting wellbeing and mental health outcomes during the COVID-19 pandemic, involving a representative sample of 121,066 adults.
  • Researchers analyzed both modifiable (like coping strategies and pre-pandemic stress) and non-modifiable factors (such as age, gender, and socioeconomic status), finding significant negative effects on wellbeing and psychopathology scores during the pandemic.
  • The study identified 15 modifiable and 9 non-modifiable risk factors, alongside 13 modifiable and 3 non-modifiable protective factors, emphasizing the importance of social support and coping strategies in mental health outcomes.
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  • Electroconvulsive therapy (ECT) is shown to help patients with treatment-resistant psychosis, yet the exact mechanisms of how it works are still not fully understood.
  • This study used MRI texture analysis to investigate microstructural changes in limbic structures after ECT, demonstrating a correlation between these changes and improvement in symptoms, particularly in the left hippocampus and right amygdala.
  • The research involved 36 patients undergoing ECT, 27 on medication alone, and 70 healthy controls, providing in vivo evidence supporting the idea that ECT induces neuroplastic changes that may be targeted for future treatments in psychosis.
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Article Synopsis
  • There is a lack of comprehensive international studies examining multidimensional mental health and wellbeing before and during the COVID-19 pandemic, particularly identifying at-risk groups and effective coping strategies.
  • The COH-FIT survey, conducted from April 2020 to June 2022 in 30 languages, assessed changes in well-being and psychopathology among over 121,000 participants, revealing significant declines in mental health during the pandemic.
  • Key findings indicated that certain demographics, such as young adults and people in low-income countries, were particularly affected, while coping strategies like exercise, internet use, and maintaining social contacts emerged as the most effective for managing stress.
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Improving diagnostic accuracy of obsessive-compulsive disorder (OCD) using models of brain imaging data is a key goal of the field, but this objective is challenging due to the limited size and phenotypic depth of clinical datasets. Leveraging the phenotypic diversity in large non-clinical datasets such as the UK Biobank (UKBB), offers a potential solution to this problem. Nevertheless, it remains unclear whether classification models trained on non-clinical populations will generalise to individuals with clinical OCD.

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  • The study focuses on how adolescents often struggle to recognize depressive symptoms and may not seek help despite experiencing them, highlighting the need for early intervention.* -
  • Researchers collected various types of digital data, such as keystroke and stylus information, from 927 first-year middle school students as they completed language and math problems to analyze their depressive symptoms.* -
  • The findings suggest that certain digital behaviors (like stroke length and tap pressure) can indicate mood and cognitive issues, pointing toward the possibility of using automated data for early screening of depression in students.*
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Patients with mental illnesses, particularly psychosis and obsessive‒compulsive disorder (OCD), frequently exhibit deficits in executive function and visuospatial memory. Traditional assessments, such as the Rey‒Osterrieth Complex Figure Test (RCFT), performed in clinical settings require time and effort. This study aimed to develop a deep learning model using the RCFT and based on eye tracking to detect impaired executive function during visuospatial memory encoding in patients with mental illnesses.

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Aim: Obsessive-compulsive disorder (OCD) is a heterogeneous condition characterized by distinct symptom subtypes, each with varying pathophysiologies and treatment responses. Recent research has highlighted the role of the amygdala, a brain region that is central to emotion processing, in these variations. However, the role of amygdala subregions with distinct functions has not yet been fully elucidated.

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Objective: Spatial normalization is an essential process for comparative analyses that heavily depends on the standard brain template used. Brain morphological differences are observed in different populations due to genetic and environmental factors, causing mismatches in regions when the data are normalized to different population templates. Recent studies have indicated differences between Caucasian and East Asian populations as well as within East Asian populations, suggesting the necessity of population-specific brain templates.

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Objective: Obsessive-compulsive disorder (OCD) is a psychiatric condition that causes significant distress and social costs and often follows a chronic course with frequent relapses. Approximately 20% of patients do not respond to medication or cognitive behavioral therapy; gamma knife surgery (GKS) has been proposed as a treatment option for these patients. However, research on GKS for OCD patients is rare.

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Objective: To evaluate the association between antibiotic use during pregnancy or early infancy and the risk of neurodevelopmental disorders in children.

Design: Nationwide population based cohort study and sibling analysis.

Setting: Korea's National Health Insurance Service mother-child linked database, 2008-21.

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Importance: In vivo imaging studies of reactive astrocytes are crucial for understanding the pathophysiology of schizophrenia because astrocytes play a critical role in glutamate imbalance and neuroinflammation.

Objective: To investigate in vivo reactive astrocytes in patients with schizophrenia associated with positive symptoms using monoamine oxidase B (MAO-B)-binding fluorine 18 ([18F])-labeled THK5351 positron emission tomography (PET).

Design, Setting, And Participants: In this case-control study, data were collected from October 1, 2021, to January 31, 2023, from the internet advertisement for the healthy control group and from the outpatient clinics of Seoul National University Hospital in Seoul, South Korea, for the schizophrenia group.

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Article Synopsis
  • - Awareness and stigma surrounding internet gaming disorder (IGD) hinder early detection, with prevalence varying significantly and recognized as a serious issue that affects young people's academics and mental health.
  • - The study aims to identify digital indicators from tablet sensor data to detect IGD early in students, integrating these insights into daily school activities as a mental health screening tool.
  • - Analysis revealed that higher IGDS scores correlated with poorer learning outcomes, and five specific digital behaviors were linked to IGD, explaining a notable portion of the variance in IGD scores.
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Background: Recent studies have indicated that clinical high risk for psychosis (CHR-P) is highly specific for psychotic disorders other than pluripotential to various serious mental illnesses. However, not all CHR-P develop psychotic disorder only, and psychosis can occur in non-psychotic disorders as well. Our prospective cohort study aims to investigate the characteristics and clinical outcomes of a pluripotent high-risk group with the potential to develop a diverse range of psychiatric disorders.

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Despite a theory that an imbalance in goal-directed versus habitual systems serve as building blocks of compulsions, research has yet to delineate how this occurs during arbitration between the two systems in obsessive-compulsive disorder. Inspired by a brain model in which the inferior frontal cortex selectively gates the putamen to guide goal-directed or habitual actions, this study aimed to examine whether disruptions in the arbitration process via the fronto-striatal circuit would underlie imbalanced decision-making and compulsions in patients. Thirty patients with obsessive-compulsive disorder [mean (standard deviation) age = 26.

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Despite the functional impact of cognitive deficit in people with psychosis, objective cognitive assessment is not typically part of routine clinical care. This is partly due to the length of traditional assessments and the need for a highly trained administrator. Brief, automated computerised assessments could help to address this issue.

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Objective: Clozapine is considered the most reliable drug for treatment-resistant schizophrenia. In 2014, a generic formulation of clozapine (Clzapine) was introduced in Korea. This study was performed to provide clinical information regarding the use of clozapine and to compare efficacy and tolerability when converting from the brand-name formulation (Clozaril) to the generic formulation during longterm maintenance treatment among Korean patients with schizophrenia.

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Background: Impaired cognitive reappraisal is a notable symptom of early psychosis, but its neurobiological basis remains underexplored. We aimed to identify the underlying neurobiological mechanism of this impairment by using resting-state functional connectivity (FC) analyses focused on brain regions related to cognitive reappraisal.

Methods: Resting-state functional magnetic resonance images were collected from 36 first-episode psychosis (FEP) patients, 32 clinical high-risk (CHR) individuals, and 48 healthy controls (HCs).

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Schizophrenia is characterized by the misattribution of emotional significance to neutral faces, accompanied by overactivations of the limbic system. To understand the disorder's genetic and environmental contributors, investigating healthy first-degree relatives is crucial. However, inconsistent findings exist regarding their ability to recognize neutral faces, with limited research exploring the cerebral correlates of neutral face processing in this population.

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This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community.

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