Many psychiatric disorders are associated with brain functional dysfunctions and neuronal degeneration. According to the research so far, enhanced brain plasticity reduces neurodegeneration and recovers neuronal damage. Brain-derived neurotrophic factor (BDNF) is one of the most extensively studied neurotrophins in the mammalian brain that plays major roles in neuronal survival, development, growth, and maintenance of neurons in brain circuits related to emotion and cognitive function. Also, BDNF plays an important role in brain plasticity, influencing dendritic spines in the hippocampus neurogenesis. Changes in neurogenesis and dendritic density can improve psychiatric symptoms and cognitive functions. BDNF has potent effects on brain plasticity through biochemical mechanisms, cellular signal pathways, and epigenetic changes. There are pharmacological and non-pharmacological interventions to increase the expression of BDNF and enhance brain plasticity. Non-pharmacological interventions such as physical exercise, nutritional change, environmental enrichment, and neuromodulation have biological mechanisms that increase the expression of BDNF and brain plasticity. Non-pharmacological interventions are cost-effective and safe ways to improve psychiatric symptoms.

Objectives This study aimed to review the Korean Constitution articles 14 and 20 of the "Law on suicide prevention" and investigate public perceptions of specific improvements to suicide prevention policies using results from the Korean 2018 National Survey on Suicide. Methods The questionnaire was designed to analyzing the act restricts sharing of patient information between hospitals, making it difficult to track suicide attempts. The questionnaire was also designed to suggest further medical and normative criteria for objective judgment of continuous follow-up utilizing suicide risk evaluations and proportional principle review that consider patients' and medical staff's basic rights. Results This study identified the result of the 1500 respondents, 79.1% believed that Korea should allow suicide prevention management to be implemented without requiring individual consent to protect suicide attempters. Conclusions According the results, I propose the following criteria for policy improvement: use of anonymized information and non-profit research for technical and ethical considerations, access to medical information only for therapeutic purposes, and use of surgical severity assessment criteria appropriate for Korea.

Objectives This study aims to develop valid experimental models for depression through chronic reserpine exposure to zebrafish (Danio rerio). Methods The effect of chronic reserpine on zebrafish behavior in the novel tank was examined. Changes of gene expression on telencephalon were also investigated. Results Chronic reserpine (40 mg/L, 7 days) induced overt behavioral effects, but markedly reduced activity, resembling motor retardation in depression. In telencephalon of zebrafish, gene expression associated with monoamine oxidase and norepinephrine transporter was decreased. Expression of serotonin transporter gene was increased. Conclusions Our results show that the pharmacological model of depression in zebrafish can induce not only behavioral changes, but also monoamine changes in the homology of human mood regulation centers.

Objectives Alzheimer's disease (AD) is the most common form of dementia in older adults, damaging the brain and resulting in impaired memory, thinking, and behavior. The identification of differentially expressed genes and related pathways among affected brain regions can provide more information on the mechanisms of AD. The aim of our study was to identify differentially expressed genes associated with AD and combined biomarkers among them to improve AD risk prediction accuracy. Methods Machine learning methods were used to compare the performance of the identified combined biomarkers. In this study, three publicly available gene expression datasets from the hippocampal brain region were used. Results We detected 31 significant common genes from two different microarray datasets using the limma package. Some of them belonged to 11 biological pathways. Combined biomarkers were identified in two microarray datasets and were evaluated in a different dataset. The performance of the predictive models using the combined biomarkers was superior to those of models using a single gene. When two genes were combined, the most predictive gene set in the evaluation dataset was ATR and PRKCB when linear discriminant analysis was applied. Conclusions Combined biomarkers showed good performance in predicting the risk of AD. The constructed predictive nomogram using combined biomarkers could easily be used by clinicians to identify high-risk individuals so that more efficient trials could be designed to reduce the incidence of AD.