• Korean Journal of Biological Psychiatry
• /
• v.24 no.4
• /
• pp.175-187
• /
• 2017

Transcranial direct current stimulation (TDCS) is a clinically safe and effective method of delivering weak electric current to modulate cortical activities. And based on the cumulating scientific evidences, the method is recommended to treat major depressive disorder (MDD) and other psychiatric disorders. In this paper, we review the development of TDCS in the rising field of neuromodulation. Then with suggested biochemical and physical mechanism of TDCS, we summarize the reported cases of using TDCS to alleviate major neuropsychiatric disorders. And, in particular, the treatment of MDD is highlighted as an illustrative example of using TDCS. We discuss here the therapeutic potentials of this method in psychiatry. And in closing remarks, we evaluate the current technical limitations and suggest the future directions of this method in both the clinical and research aspects.

• Journal of Convergence for Information Technology
• /
• v.10 no.7
• /
• pp.116-121
• /
• 2020

This study was undertaken to investigate the influence and related mechanisms that have yet to be clearly demonstrated of Lithospermum erythrorhizon derived-naphthoquinone (shikonin) on the anxiety, insomnia, depression in rats. We hypothesized that naphthoquinone, the primary ingredient of Lithospermum erythrorhizon, plays a role in the modulation of insomnia evoked by stress, depression evoked by forced swimming or anxiety evoked by elevated plus maze. Male ICR (Institute of Cancer Research) mice were used and the immobility or swimming time, the duration of sleep, the duration and entry frequency into open arms were measured and recorded. The administration of naphthoquinone (10, 30 and 100 mg/kg) potentiated barbiturate-induced sleep suggesting the activation of GABAA receptor. It also potentiated the time spent in open arms of the maze and decreased the immobility time in forced swimming. In conclusion, naphthoquinone has anxiolytic, hypnotic and anti-depressant properties and is a potential therapeutic for anxiety, insomnia and depression.

• Anxiety and mood
• /
• v.13 no.2
• /
• pp.53-59
• /
• 2017

Reliable and valid diagnostic screening tools in the primary care setting enable accurate estimation of depression in individuals at risk or in need of treatment, and provide patients with an opportunity to receive optimal treatments. Although there have been extensive studies on screening tools for depression used in domestic mental health settings, there is little consideration and lack of a thorough review of the diagnostic validity of screening tools. In the current review, we selected 13 representative screening tools for depression which were evaluated in a total of 19 validation studies conducted in Korea. We summarized DSM-5 target domains, diagnostic indices, sensitivity, specificity, cut-off scores, and diagnostic validity information for each tool. Finally, the depression measurement expert group was constituted to evaluate the current status of screening tools for depression, and their recommendations for a new screening tool were summarized. This study was conducted as part of the Mental Health Technology Development project to develop the Korean screening tool for depression (K-DEP).

• Korean Journal of Biological Psychiatry
• /
• v.16 no.3
• /
• pp.181-189
• /
• 2009

Objectives : N100 amplitude slope(the intensity dependence of the cortical auditory evoked potentials) is widely considered as an indirect indicator of central serotonergic neurotransmission. However, there are only a few studies about N100 amplitude slopes of major psychiatric disorders. In this study, we examined N100 amplitude slope differences among major depressive disorder(MDD), bipolar disorder(BD), schizophrenia (SCZ) and normal controls(NC). Methods : We measured the N100 amplitude slopes of 35 patients with MDD, 33 patients with BD, 27 patients with SCZ and 35 NC subjects. Amplitude differences from N1 to P2 at the five different sound intensities(55, 65, 75, 85 and 95dB) were examined at Cz electrode. The N100 amplitude slope was calculated as the linear regression of five N1/P2 peak-to-peak amplitudes across stimulus intensities. Results : BD patients showed significantly reduced N100 amplitude slope compared with NC(0.54${\pm}$0.70 vs. 0.96${\pm}$0.72, p=0.035). N100 amplitude slope of SCZ patients was significantly reduced compared with NC(0.50${\pm}$0.47 vs. 0.96${\pm}$0.72, p=0.027). N100 amplitude slope of BD patients was significantly lower than that of MDD patients(0.54${\pm}$0.70 vs. 0.94${\pm}$0.60, p=0.046). SCZ patients also showed significant reduction of N100 amplitude slope compared with MDD patients(0.50${\pm}$0.47 vs. 0.94${\pm}$0.60, p=0.036). There was no significant difference of N100 amplitude slope between MDD patients and NC(0.94${\pm}$0.60 vs. 0.96${\pm}$0.72, p=1.000). Conclusion : Interestingly, the N100 amplitude slopes of BD and SCZ were reduced compared to NC and MDD patients. Our results suggest the predictive use of N100 amplitude slope in making differential diagnoses of major psychiatric disorders. Clinical implications of N100 amplitude slope in major psychiatric disorders were discussed.

• Journal of the Korean Society for information Management
• /
• v.39 no.1
• /
• pp.91-117
• /
• 2022

The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.

• Journal of Life Science
• /
• v.33 no.12
• /
• pp.1062-1073
• /
• 2023

Although depression is a common psychiatric disorder that negatively affects individuals and societies, its exact pathogenesis is not well understood. Stress is a major risk factor for depression and is known to increase susceptibility by triggering inflammation. Indeed, many preclinical and clinical studies have suggested a strong link between depression and inflammation. Depression is associated with increased levels of pro-inflammatory cytokines, such as interleukin (IL-)1β, IL-6, IL-12, tumor necrosis factor-α, and interferon-γ, and decreased levels of the anti-inflammatory IL-4, IL-10, and transforming growth factor-β. Administering pro-inflammatory cytokines causes depression-like behaviors in rodents. Conversely, administering anti-inflammatory drugs appears to ameliorate depressive symptoms. Although the importance of inflammation as a mediator of depression has been demonstrated, the mechanisms by which inflammation is activated in depression remain unclear. To address this issue, recent studies have focused on the importance of stress-induced sterile inflammation. Sterile inflammation refers to the activation of inflammatory processes due to physical and/or psychological stress in the absence of pathogens. Stress promotes the release of endogenous factors known as damage-associated molecular patterns (DAMPs), thereby triggering sterile inflammation. In turn, DAMPs are recognized by pattern recognition receptors, leading to the production of pro-inflammatory cytokines. Here, we review the role of DAMPs in depression based on preclinical and clinical evidence on the dysregulation of sterile inflammation.

• Korean Journal of Psychosomatic Medicine
• /
• v.27 no.2
• /
• pp.77-84
• /
• 2019

Objectives : The Illness Intrusiveness Rating Scale (IIRS) is a well-validated self-report instrument for assessing negative impact of chronic illness and/or adverse effects of its treatment on everyday life domains. Although extensive literature probed its psychometric properties in medical illness, little attention was paid for its validity for psychiatric population. This study aimed to test factorial structure of the Korean Version of the IIRS (IIRS-K) in a consecutive sample of psychiatric outpatients. Methods : Data set of 307 first-visit patients of psychiatric clinic at Guri Hanyang univ. Hospital were used. Exploratory and confirmatory factor analysis, internal consistency were tested in IIRS-K. We also checked Spearman's correlation analysis between IIRS-K, Zung's self-report anxiety scale and Zung's self-report depression scale. Results : 76.9% of the patients were with anxiety disorder and depressive disorder. The principal component factor analysis of the IIRS-K extracted three-factor structure accounted for 63.2% of total variance that was contextually similar to the original English version. This three-factor solution showed the best fit when tested confirmatory factor analysis compared to the original IIRS, two-factor model of IIRS-K suggested from medical outpatients, and one-factor solution. The IIRS-K also showed good internal consistency (Cronbach's α=0.90) and good convergent validity with anxiety and depression scales. Conclusions : The IIRS-K showed the three-factor structure that was similar but not identical to original version. Overall, this study proved factorial validity of the IIRS-K and it can be used for Korean clinical population.

• Anxiety and mood
• /
• v.17 no.2
• /
• pp.84-91
• /
• 2021

Objective : Mismatch negativity (MMN) is known to reflect several abnormalities of cognitive functioning. This study is aimed to investigate the differences in MMN among major depressive disorder (MDD) patients with or without suicidal ideation. Methods : Sixty-seven patients with MDD were recruited into this study. MMN was measured by a 64-channel electroencephalography (EEG) using oddball paradigm over the front-central area. Clinical characteristics were assessed using the Beck Anxiety Inventory (BAI), the Beck Depression Inventory-II (BDI-II), and the Beck Scale for Suicide ideation (SSI-BECK). Patients were divided into two groups, no suicidal ideation (N=12) and suicidal ideation (N=55), depending on the presence of suicide ideation in SSI-BECK questionnaires. Results : The MMN latencies were significantly longer in the MDD patients with suicidal ideation than in the MDD patents without suicidal ideation (p<0.05). The MMN amplitudes were not significantly different between the two groups. Conclusion : Suicidal ideation may be associated with longer MMN latencies, and it suggests that MMN may play a potential role in assessing the suicidal risk among MDD patients.

• Korean Journal of Biological Psychiatry
• /
• v.25 no.3
• /
• pp.60-71
• /
• 2018

Objectives A growing body of evidence has suggested that morphologic changes in cerebellum may be implicated with pathophysiology of major depressive disorder (MDD). The aim of this study is to investigate a difference in the volume and cortical thickness of the specific region of cerebellum between patients with MDD and healthy controls (HC). Methods A total of 127 patients with MDD and 105 HC participated in this study and underwent T1-weighted structural magnetic resonance imaging. We analyzed volume and cortical thickness of each twelve cerebellum regions divided by left and right and the volume and cortical thickness of the whole cerebellum from T1-weigted image of participants. One-way analysis of covariance was used to investigate the volume and cortical thickness difference of total and specific regions between two groups adjusting for age, gender, medication, and total intracranial cavity volume. Results We found that the patients with MDD had significantly greater volume in the left cerebellum lobule III region [false discovery rate (FDR)-corrected p = 0.034] compared to HC. Also, our findings indicate that cortical thickness of left lobule VIIB (FDR-corrected p = 0.032) and lobule VIIIB (FDR-corrected p = 0.032) are significantly thinner in the patients with MDD compared with the HC. No significant volume and cortical thickness differences were observed in other sub-regions of the cerebellum. The volumes and cortical thickness of whole cerebellum between patients with MDD and HC did not differ significantly. Conclusions We observed the region-specific volume and cortical thickness difference in cerebellum between the patients with MDD and HC. The results of our study implicate that the information about structural alterations in cerebellum with further replicative studies might provide a stepping stone toward a specific marker to diagnose MDD.

• Korean Journal of Biological Psychiatry
• /
• v.15 no.4
• /
• pp.275-287
• /
• 2008

Depression and coronary artery disease are both highly prevalent diseases. Many previous studies suggest that depression is a common comorbid condition in patients with coronary artery disease and has a significant negative impact on the onset, course, and prognosis of coronary artery disease. However, the exact mechanisms that underlie the association between these two diseases remain unclear. Pathophysiologic mechanisms that may explain the effect of depression on coronary artery disease include hypercoagulability, hypothalamus-pituitary-adrenal axis and autonomic nervous system dysregulation, altered inflammatory response. On the contrary, pathophysiologic mechanisms in coronary artery disease that affect depression are less well known. It is also suggested that both diseases may share a common genetic vulnerability. The authors reviewed the literature on the pathophysiologic relationships of depression and coronary heart disease.