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  1. Book ; Online: Neurobiological Perspectives in Behavioral Addiction

    Choi, Jung-Seok / Choi, Jung-Seok / Luke King, Daniel / Jung, Young-Chul

    2019  

    Keywords Medicine ; Psychiatry ; Neurobiology ; MRI ; EEG ; gene ; behavioral addiction ; Internet gaming disorder ; gambling disorder ; Smartphone addiction ; compulsive sexual behavior
    Size 1 electronic resource (187 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230048
    ISBN 9782889457984 ; 2889457982
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: Already, But Not Yet: Ending Unethical Practices in Authorship.

    Jung, Young-Chul

    Psychiatry investigation

    2018  Volume 15, Issue 4, Page(s) 335

    Language English
    Publishing date 2018-03-26
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2414364-9
    ISSN 1976-3026 ; 1738-3684
    ISSN (online) 1976-3026
    ISSN 1738-3684
    DOI 10.30773/pi.2018.03.29
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder.

    Kwon, Mina / Choi, Hangnyoung / Park, Harhim / Ahn, Woo-Young / Jung, Young-Chul

    Journal of behavioral addictions

    2024  Volume 13, Issue 1, Page(s) 236–249

    Abstract: Background: An imbalance between model-based and model-free decision-making systems is a common feature in addictive disorders. However, little is known about whether similar decision-making deficits appear in internet gaming disorder (IGD). This study ... ...

    Abstract Background: An imbalance between model-based and model-free decision-making systems is a common feature in addictive disorders. However, little is known about whether similar decision-making deficits appear in internet gaming disorder (IGD). This study compared neurocognitive features associated with model-based and model-free systems in IGD and alcohol use disorder (AUD).
    Method: Participants diagnosed with IGD (n = 22) and AUD (n = 22), and healthy controls (n = 30) performed the two-stage task inside the functional magnetic resonance imaging (fMRI) scanner. We used computational modeling and hierarchical Bayesian analysis to provide a mechanistic account of their choice behavior. Then, we performed a model-based fMRI analysis and functional connectivity analysis to identify neural correlates of the decision-making processes in each group.
    Results: The computational modeling results showed similar levels of model-based behavior in the IGD and AUD groups. However, we observed distinct neural correlates of the model-based reward prediction error (RPE) between the two groups. The IGD group exhibited insula-specific activation associated with model-based RPE, while the AUD group showed prefrontal activation, particularly in the orbitofrontal cortex and superior frontal gyrus. Furthermore, individuals with IGD demonstrated hyper-connectivity between the insula and brain regions in the salience network in the context of model-based RPE.
    Discussion and conclusions: The findings suggest potential differences in the neurobiological mechanisms underlying model-based behavior in IGD and AUD, albeit shared cognitive features observed in computational modeling analysis. As the first neuroimaging study to compare IGD and AUD in terms of the model-based system, this study provides novel insights into distinct decision-making processes in IGD.
    MeSH term(s) Humans ; Alcoholism ; Brain Mapping ; Internet Addiction Disorder ; Bayes Theorem ; Brain ; Behavior, Addictive ; Magnetic Resonance Imaging ; Internet ; Video Games
    Language English
    Publishing date 2024-03-08
    Publishing country Hungary
    Document type Journal Article
    ZDB-ID 2817933-X
    ISSN 2063-5303 ; 2063-5303
    ISSN (online) 2063-5303
    ISSN 2063-5303
    DOI 10.1556/2006.2024.00006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The mediating effect of attentional impulsivity between mindfulness and problematic smartphone use.

    Kim, Minjung / Seong, Goeun / Jeon, Min-Jeong / Jung, Young-Chul / Lee, Deokjong

    BMC psychiatry

    2024  Volume 24, Issue 1, Page(s) 294

    Abstract: Objective: Problematic smartphone use has been linked to lower levels of mindfulness, impaired attentional function, and higher impulsivity. This study aimed to identify the psychological mechanisms of problematic smartphone use by exploring the ... ...

    Abstract Objective: Problematic smartphone use has been linked to lower levels of mindfulness, impaired attentional function, and higher impulsivity. This study aimed to identify the psychological mechanisms of problematic smartphone use by exploring the relationship between addictive smartphone use, mindfulness, attentional function and impulsivity.
    Methods: Ninety participants were evaluated with the smartphone addiction proneness scale and classified into the problematic smartphone use group (n = 42; 24 women; mean age: 27.6 ± 7.2 years) or normal use group (n = 48; 22 women; mean age: 30.1 ± 5.7 years). All participants completed self-report questionnaires evaluating their trait impulsivity and mindfulness and attention tests that assessed selective, sustained and divided attention. We compared the variables between the groups and explored the relationship between mindfulness, attentional function, impulsivity and addictive smartphone use through mediation analysis.
    Results: The problematic smartphone use group showed higher trait impulsivity and lower mindfulness than the normal use group. There were no significant group differences in performance on attention tests. Levels of addictive smartphone use were significantly correlated with higher levels of trait impulsivity and lower levels of mindfulness, but not with performance on attention tests. Mediation analysis showed that acting with awareness, an aspect of mindfulness, reduces the degree of addictive smartphone use through attentional impulsivity, one of the trait impulsivity.
    Conclusion: Acting without sufficient awareness could influence addictive smartphone use by mediating attentional impulsivity. This supports that executive control deficits, reflected in high attentional impulsivity, contribute to problematic smartphone use. Our findings imply that mindfulness-based interventions can enhance executive control over smartphone use by promoting awareness.
    MeSH term(s) Humans ; Female ; Young Adult ; Adult ; Mindfulness ; Smartphone ; Impulsive Behavior ; Attention ; Surveys and Questionnaires
    Language English
    Publishing date 2024-04-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2050438-X
    ISSN 1471-244X ; 1471-244X
    ISSN (online) 1471-244X
    ISSN 1471-244X
    DOI 10.1186/s12888-024-05708-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Mental Health Problems During COVID-19 and Attitudes Toward Digital Therapeutics.

    Kwon, Manjae / Jung, Young-Chul / Lee, Deokjong / Ahn, Jaeun

    Psychiatry investigation

    2023  Volume 20, Issue 1, Page(s) 52–61

    Abstract: Objective: We aimed to elucidate public mental health problems and associated factors during the coronavirus disease-2019 (COVID-19). Furthermore, we evaluated people's attitudes toward digital therapeutics during the pandemic.: Methods: Data was ... ...

    Abstract Objective: We aimed to elucidate public mental health problems and associated factors during the coronavirus disease-2019 (COVID-19). Furthermore, we evaluated people's attitudes toward digital therapeutics during the pandemic.
    Methods: Data was collected online from participants, aged between 20-50 without any history of mental illness, from June 1st to June 30th 2021. The survey consisted of questions regarding demographics, changes during pandemic and attitude towards digital therapeutics, and mental health measures.
    Results: Among the total of 445 participants, 49.2% reported significant level of stress and 13.5% and 7.0% met the screening criteria for major depressive disorder and generalized anxiety disorder, respectively. Significant predictive factors for mental health problems were-younger age group, female sex, currently being treated for medical or surgical disease, change in the amount of time spent on mobile device or computer after pandemic, change in household income, and change in work environment due to pandemic. Furthermore, 35.1% of participants, considered psychiatric consultation, at least slightly, but were hesitant to receive it due to the fear of contacting COVID-19 at the clinics. Instead, 54.4% of them preferred using digital therapeutics as an alternative to visiting offline clinics.
    Conclusion: We demonstrated that COVID-19 increased mental health problems along with access problems and identified their predictive factors. Digital therapeutics emerged as a viable solution to mental health problems and it was well-received by those in need of psychiatric consultation. Therefore, development and implementation of digital therapeutics should be considered to improve the mental health of people.
    Language English
    Publishing date 2023-01-25
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2414364-9
    ISSN 1976-3026 ; 1738-3684
    ISSN (online) 1976-3026
    ISSN 1738-3684
    DOI 10.30773/pi.2022.0150
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder: A sensor-level and source-level resting-state electroencephalography activity and neuropsychological study.

    Lee, Ji-Yoon / Song, Myeong Seop / Yoo, So Young / Jang, Joon Hwan / Lee, Deokjong / Jung, Young-Chul / Ahn, Woo-Young / Choi, Jung-Seok

    Comprehensive psychiatry

    2024  Volume 130, Page(s) 152460

    Abstract: Objectives: Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is necessary to conduct further neuroscientific research to understand the ... ...

    Abstract Objectives: Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is necessary to conduct further neuroscientific research to understand the mechanisms of BA to the same extent as SUD. The present study used machine learning (ML) algorithms to investigate the neuropsychological and neurophysiological aspects of addictions in individuals with internet gaming disorder (IGD) and alcohol use disorder (AUD).
    Methods: We developed three models for distinguishing individuals with IGD from those with AUD, individuals with IGD from healthy controls (HCs), and individuals with AUD from HCs using ML algorithms, including L1-norm support vector machine, random forest, and L1-norm logistic regression (LR). Three distinct feature sets were used for model training: a unimodal-electroencephalography (EEG) feature set combined with sensor- and source-level feature; a unimodal-neuropsychological feature (NF) set included sex, age, depression, anxiety, impulsivity, and general cognitive function, and a multimodal (EEG + NF) feature set.
    Results: The LR model with the multimodal feature set used for the classification of IGD and AUD outperformed the other models (accuracy: 0.712). The important features selected by the model highlighted that the IGD group had differential delta and beta source connectivity between right intrahemispheric regions and distinct sensor-level EEG activities. Among the NFs, sex and age were the important features for good model performance.
    Conclusions: Using ML techniques, we demonstrated the neurophysiological and neuropsychological similarities and differences between IGD (a BA) and AUD (a SUD).
    MeSH term(s) Humans ; Alcoholism/diagnosis ; Alcoholism/psychology ; Internet Addiction Disorder ; Behavior, Addictive/psychology ; Electroencephalography ; Impulsive Behavior ; Internet ; Video Games/psychology ; Brain ; Magnetic Resonance Imaging
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127556-2
    ISSN 1532-8384 ; 0010-440X
    ISSN (online) 1532-8384
    ISSN 0010-440X
    DOI 10.1016/j.comppsych.2024.152460
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effects of Game-Related Tasks for the Diagnosis and Classification of Gaming Disorder.

    Choi, Jeongbong / Choi, Youngseok / Jung, Young-Chul / Lee, Jeyeon / Lee, Jongshill / Park, Eunkyoung / Kim, In Young

    Biosensors

    2024  Volume 14, Issue 1

    Abstract: ... functional tasks: a continuous performance task (CPT) and video game play. For this study, 69 young male ...

    Abstract Gaming disorder (GD) is an addictive behavior characterized by an insatiable need to play video games and shares similar symptoms with the failure of self-control due to a decline in cognitive function. Current GD diagnostic and screening tools rely on questionnaires and behavioral observations related to cognitive functions to assess an individual's capacity to maintain self-control in everyday life. However, current GD screening approaches rely on subjective symptoms, and a reliable diagnosis requires long-term clinical follow-up. Recent studies have measured biosignals along with cognitive functional tasks to provide objectivity to GD diagnosis and to acquire immediate results. However, people with GD are hypersensitive to game-related cues, so their responses may vary depending on the type of stimuli, and the difference in response to stimuli might manifest as a difference in the degree of change in the biosignal. Therefore, it is critical to choose the correct stimulus type when performing GD diagnostic tasks. In this study, we investigated the task dependence of cognitive decline in GD by comparing two cognitive functional tasks: a continuous performance task (CPT) and video game play. For this study, 69 young male adults were classified into either the gaming disorder group (GD,
    MeSH term(s) Adult ; Humans ; Male ; Behavior, Addictive/diagnosis ; Cognitive Dysfunction/diagnosis ; Brain ; Cues ; Prefrontal Cortex
    Language English
    Publishing date 2024-01-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662125-3
    ISSN 2079-6374 ; 2079-6374
    ISSN (online) 2079-6374
    ISSN 2079-6374
    DOI 10.3390/bios14010042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: North Korean defectors with PTSD and complex PTSD show alterations in default mode network resting-state functional connectivity.

    Kim, Byung-Hoon / Baek, Jiwon / Kim, Ocksim / Kim, Hokon / Ko, Minjeong / Chu, Sang Hui / Jung, Young-Chul

    BJPsych open

    2024  Volume 10, Issue 1, Page(s) e25

    Abstract: Background: North Korean defectors (NKDs) have often been exposed to traumatic events. However, there have been few studies of neural alterations in NKDs with post-traumatic stress disorder (PTSD) and complex PTSD (cPTSD).: Aims: To investigate ... ...

    Abstract Background: North Korean defectors (NKDs) have often been exposed to traumatic events. However, there have been few studies of neural alterations in NKDs with post-traumatic stress disorder (PTSD) and complex PTSD (cPTSD).
    Aims: To investigate neural alterations in NKDs with PTSD and cPTSD, with a specific focus on alterations in resting-state functional connectivity networks, including the default mode network (DMN).
    Method: Resting-state functional connectivity was assessed using brain functional magnetic resonance imaging in three groups of NKDs: without PTSD, with PTSD and with cPTSD. Statistical tests were performed, including region of interest (ROI)-to-ROI and ROI-to-voxel analysis, followed by
    Results: In the ROI-to-ROI analysis, differences in functional connectivity were found among the components of the DMN, as well as in the thalamus and the basal ganglia. Right hippocampus-left pallidum and right amygdala-left lingual gyrus connectivity differed between groups in the ROI-to-voxel analysis, as did connectivity involving the basal ganglia. The
    Conclusions: The results suggest that there are alterations in the functional connectivity of the DMN and the limbic system in NKDs with PTSD and cPTSD, and that these alterations involve the basal ganglia. The lower correlations of CAPS score with right basal ganglia-DMN functional connectivity in patients compared with controls further implies that these connectivities are potential targets for treatment of PTSD and cPTSD.
    Language English
    Publishing date 2024-01-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2829557-2
    ISSN 2056-4724
    ISSN 2056-4724
    DOI 10.1192/bjo.2023.636
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Altered resting-state functional connectivity of the dorsal anterior cingulate cortex with intrinsic brain networks in male problematic smartphone users.

    Kwon, Manjae / Jung, Young-Chul / Lee, Deokjong / Lee, Junghan

    Frontiers in psychiatry

    2022  Volume 13, Page(s) 1008557

    Abstract: The excessive use of smartphones is associated with various medical complications and mental health problems. However, existing research findings on neurobiological mechanisms behind problematic smartphone use are limited. In this study, we investigated ... ...

    Abstract The excessive use of smartphones is associated with various medical complications and mental health problems. However, existing research findings on neurobiological mechanisms behind problematic smartphone use are limited. In this study, we investigated functional connectivity in problematic smartphone users, focusing on the default mode network (DMN) and attentional networks. We hypothesized that problematic smartphone users would have alterations in functional connectivity between the DMN and attentional networks and that such alterations would correlate with the severity of problematic smartphone use. This study included 30 problematic smartphone users and 35 non-problematic smartphone users. We carried out group independent component analysis (group ICA) to decompose resting-state functional magnetic resonance imaging (fMRI) data into distinct networks. We examined functional connectivity using seed-to-seed analysis and identified the nodes of networks in group ICA, which we used as region of interest. We identified greater functional connectivity of the dorsal anterior cingulate cortex (dACC) with the ventral attention network (VAN) and with the DMN in problematic smartphone users. In seed-to-seed analysis, problematic smartphone users showed atypical dACC-VAN functional connectivity which correlated with the smartphone addiction proneness scale total scores. Our resting-state fMRI study found greater functional connectivity between the dACC and attentional networks in problematic smartphone users. Our findings suggest that increased bottom-up and interoceptive attentional processing might play an important role in problematic smartphone use.
    Language English
    Publishing date 2022-10-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2022.1008557
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Simultaneous enhancement of lipid biosynthesis and solvent extraction of Chlorella using aminoclay nanoparticles.

    Jung, Mikyoung / Kim, Young-Eun / Lee, Nakyeong / Yu, Hyoji / Lee, Jiye / Lee, Soo Youn / Lee, Young-Chul / Oh, You-Kwan

    Bioresource technology

    2023  Volume 384, Page(s) 129314

    Abstract: Magnesium aminoclay nanoparticles (MgANs) exert opposing effects on photosynthetic microalgae by promoting carbon dioxide ( ... ...

    Abstract Magnesium aminoclay nanoparticles (MgANs) exert opposing effects on photosynthetic microalgae by promoting carbon dioxide (CO
    MeSH term(s) Lipids ; Chlorella ; Carbon Dioxide ; Triglycerides ; Nanoparticles ; Microalgae ; Biomass
    Chemical Substances Lipids ; Carbon Dioxide (142M471B3J) ; Triglycerides
    Language English
    Publishing date 2023-06-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 1065195-0
    ISSN 1873-2976 ; 0960-8524
    ISSN (online) 1873-2976
    ISSN 0960-8524
    DOI 10.1016/j.biortech.2023.129314
    Database MEDical Literature Analysis and Retrieval System OnLINE

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