• Anxiety and mood
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• v.9 no.2
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• pp.93-100
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• 2013

Major depressive disorder causes significant dysfunction and disability. Many of depressed patients tend to have cormobid anxiety disorders, substance use disorders and personality disorders, and so on. In this study, we reviewed researches about the effects of comorbid anxiety disorder, substance use disorder on depressive symptoms, progress, treatment, etc. In addition, the latest knowledges related to treatment was reviewed. If the symptoms of anxiety disorder coexist, They leads to the deterioration of the course and has an adverse effect on treatment response. Comorbid substance use disorder, such as alcohol dependence, causes worsening of symptoms and progression, and a loss of therapeutic response. Therapeutic clinical guidelines and instructions to comorbid psychiatric disorders on major depressive disorder was not established clearly, but consensus-based or evidence-based studies will be necessary for treatment for comorbid psychiatric disorders on major depressive disorder.

• Bioinformatics and Biosystems
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• v.1 no.2
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• pp.134-138
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• 2006

Depression is the most common and widespread mood disorder. About 20% of the population might suffer a major, incapacitating episode of depression during their lifetime. This disorder can be classified into two types: major depressive disorders and bipolar disorder. Since pharmaceutical treatments are different according to types of depression disorders, correct and fast classification is quite critical for depression patients. Yet, classical statistical method, such as minnesota multiphasic personality inventory (MMPI), have some difficulties in applying to depression patients, because the patients suffer from concentration. We used electroencephalogram (EEG) analysis method fer classification of depression. We extracted nonlinearity of information flows between channels and estimated approximate entropy (ApEn) for the EEG at each channel. Using these attributes, we applied two types of data mining classification methods: decision tree and possibilistic support vector machines (PSVM). We found that decision tree showed 85.19% accuracy and PSVM exhibited 77.78% accuracy for classification of depression, 30 patients with major depressive disorder and 24 patients having bipolar disorder.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.177-186
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• 2021

This review aims to propose a model that can reinterpret the abnormal and functional connections between cognitive processes and emotional regulations based on the neurocognitive networks for a comprehensive understanding of pathologic processes and treatment approach of depression and anxiety disorder. Through the processes of rebuilding the network model for depression and anxiety disorder, it was confirmed that depression can be said to be 'over-immersion in self-referencing' due to hyper-activation of default mode network (DMN), and anxiety disorders to be 'disconnection with self-referencing' due to hypo-activation of DMN. The attempts to link up between abnormal activation and pathological function of DMN which is thought to be involved in self-referential processing associated with self-consciousness and projection among neurocognitive networks may be another starting point that can afford to be suggestive in integrated interpretation and therapeutic approach to depression and anxiety disorder.

• Korean Journal of Psychosomatic Medicine
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• v.24 no.1
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• pp.83-93
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• 2016

Objectives : The Center for Epidemiologic Studies Depression scale-Revised is a recently revised scale which has been reported as a valid tool for the assessment of depressive symptoms. It encompasses cardinal symptoms of depression described in the Diagnostic and Statistical Manual of Mental disorders, fourth edition. In this study, we assessed the reliability, validity and psychometric properties of the Korean version of the CESD-R(K-CESD-R). Methods : Forty-eight patients diagnosed as major depressive disorder, dysthymia, depressive disorder NOS according to the DSM-IV criteria using Mini International Neuropsychiatric Interview and 48 healthy controls were enrolled in this study. They were assessed with K-CESD-R, K-MADRS, PHQ-9, KQIDS-SR, STAI to check cross-validation. Statistical analyses were performed using calculation of Cronbach's alpha, Pearson correlation coefficient, Principal Component Analysis, ROC curve and optimal cut-off value. Results : The Cronbach's alpha of K-CESD-R was 0.98. The total score of K-CESD-R revealed significantly high correlations with those of K-MADRS, PHQ-9, KQIDS-SR(r=0.910, 0.966 and 0.920, p<0.001, respectively). Factor analysis showed two factors account for 76.29% of total variance. We suggested the optimal cut-off value of K-CESD-R as 13 according to analysis of the ROC curve which value sensitivity and specificity both equally. Conclusions : These Results showed that the K-CESD-R could be a reliable and valid scale to assess depressive symptoms. The K-CESD-R is expected as a useful and effective tool for screening and measuring depressive symptoms not only in outpatient clinic but also epidemiologic studies.

• Korean Journal of Biological Psychiatry
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• v.24 no.3
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• pp.149-154
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• 2017

Objectives This study investigated associations between symptom severity and neurocognitive functions in patients with major depressive disorder using comprehensive neuropsychological tests. Methods Ten patients with low depression (LD) and 22 patients with high depression (HD) participated. Symptom severity was determined by both the Beck Depression Inventory and the Hamilton Depression Rating Scale. Additionally, anxiety was measured by the Korean version of the State-Trait Anxiety Inventory (STAI-KYZ). Ten subtests of the Korean-Wechsler Adult Intelligence scale (K-WAIS), Stroop test, the word/design fluency tests were administered to assess cognition. Results The LD and HD groups did not differ in any of cognitive measures but anxiety level. Namely, the HD group obtained significantly higher scores on the state (U = 29.50, p < 0.01) and trait (U = 28.50, p < 0.001) anxiety scales than the LD group. A significant interaction effect between trait anxiety and depression severity was observed on the picture arrangement subtest of the K-WAIS [F (1, 27) = 5.09, p < 0.05]. Conclusions Cognitive deficits observed in patients with major depressive disorder may be related to other factors rather than current symptom severity. Trait anxiety possibly moderates the effect of current symptom severity on social judgment in these patients.

• Anxiety and mood
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• v.4 no.2
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• pp.127-134
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• 2008

Objective : This study examined whether major depressive disorder patients with anxiety traits displayed abnormal electroencephalographic (EEG) alpha asymmetries. Methods : Resting EEG was recorded in 11 outpatients with major depressive disorder (6 of whom had a high anxiety trait while 5 exhibited a low anxiety trait) and 6 controls. Results : In contrast to the controls, within the major depressive disorder patient group, comorbid anxiety disorder showed alpha asymmetry indicative of less activation over right than over left temporal sites. Patients diagnosed with major depressive disorder but no anxiety disorder showed a reduced temporal alpha asymmetry, supporting the potential importance of evaluating anxiety in studies of regional brain activation, in depressed patients. Conclusion : These findings suggest that anxiety is associated with brain hypoactivation, especially with right temporal hypoactivation.

• Korean Journal of Biological Psychiatry
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• v.25 no.4
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• pp.89-100
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• 2018

Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation method that delivers 1-2 mA of current to the scalp. Several clinical studies have been conducted to confirm the therapeutic effect of major depressive disorder (MDD) patients with tDCS. Some studies have shown tDCS's antidepressant effect, while the others showed conflicting results in antidepressant effects. Our aim of this review is to understand the biological bases of tDCS's antidepressant effect and review the results of studies on tDCS's antidepressant effect. For the review and search process of MDD treatment using tDCS, the US National Library of Medicine search engine PubMed was used. In this review, we discuss the biological mechanism of tDCS's antidepressant effect and the existing published literature including meta-analysis, systematic review, control trial, open studies, and case reports of antidepressant effects and cognitive function improvement in patients with MDD are reviewed. We also discuss the appropriate tDCS protocol for MDD patients, factors predictive of response to tDCS treatment, the disadvantages of tDCS in MDD treatment, and side effects.

• Korean Journal of Biological Psychiatry
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• v.9 no.2
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• pp.103-111
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• 2002

Neurocognitive research focusing on cognitive deficits in Depression has resulted in several important but yet potentially contradictory findings. Much literature documents the presence of significant neurocognitive impairments in depressive patients. Studies have shown that dysthymic disorder patients demonstrate a diffuse pattern of cognitive impairment which is frequently indistinguishable from that of focal braindamaged patients. Some reports have suggested that there is a focal pattern of deficit, such as anterior cingulate dysfunction, frontal lobe impairment, or dysfunction of the temporal-limbic cortex. The aim of this study is to evaluate the neurocognitive functions in dysthymic disorder patients, and to compare the functions with those of major depressive disorder patients. The subjects are 17 dysthymic disorder patients. And their neurocognitive functions are compared with those of 23 major depressive episode patients. Patients with a history of neurologic disease, alcohol dependence, substance abuse and mental retardation are excluded. They are assessed with a part of Vienna Test System which is computerized neurocognitive function tests and can evaluate attention, eductive ability, reproductive ability, visuoperceptual analysis, vigilance, visual immediate memory, the speed of information-processing, judgement, and fine motor coordinations. There are no other specific difference between two groups, except the result of cognitrone test. This study provides information about the neurocognitive functions and some difference between major depressive disorder patients and carefully diagnosed dysthymic disorder patients.

• Anxiety and mood
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• v.12 no.1
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• pp.1-6
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• 2016

Objective : This study was performed to confirm the hypothesis that the more one applies positive thinking, the less severe the symptoms of stress and the better the therapeutic responsein panic disorder and major depressive disorders. Methods : The study included 50 subjects with confirmed diagnoses of panic disorder or major depressive disorders. Positive thinking was assessed using Positive thinking scale. Beck Depression Inventory was used as a subjective measure for depression, and to ensure an objective measure for depression and anxiety, the Hamilton Depression and Hamilton Anxiety rating scales were implemented. Results : The positive thinking scale measured at the initial visit had shown a strong negative correlation with objective depression. Although patients with a high level of positive thinking had shown a tendency to respond better to the treatment, as compared with those with a lower level, the differences were not statistically significant. Conclusion : Positive thinking is likely to ameliorate major depressive disorder, panic disorder-induced depression, and anxiety. Nevertheless, it was not possible to confirm the effects of positive thinking on the patients' treatment responses.

• Korean Journal of Biological Psychiatry
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• v.6 no.1
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• pp.21-29
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• 1999

Traumatic Brain Injury(TBI) of any severity can result in broad and persisting biopsychosocial sequelae. Depression after TBI occur at a greater frequency than in the general population, with estimates approaching 25% to 50% for major depression, and 155 to 30% for dysthmia. Acute onset depressions are related to lesion location and may have their etiology in biological response of the injured brain, whereas delayed onset depressions may be mediated by psychosocial factors, suggesting psychological reactions as a possible mechanism. Anxious depressions are associated with right hemisphere lesions, whereas major depressions alone are associated with left dorsolateral frontal and left basal ganglia lesions. However, there is insufficient information to postulate a specific neuroanatomic model for TBI-related depression.