Treatment of schizophrenia is one of the most challenging areas in the field of psychiatry. There has been much improvement in psycho-pharmacotherapy, and at present, psycho-pharmacotherapy along with milieu therapy and social rehabilitation is the standard first-line treatment for schizophrenia. Healing environment, a concept which has arisen from the architectural field, has similarities in meaning to milieu therapy in psychiatry. In other words, healing environment may be an encountering point between psychiatry and architecture. In this encountering, each field can understand each other and expand its concept to aid the treatment of schizophrenia and to plan the build-up of the entire environment considering its social and psychological effects. In this paper, we aim to establish the basic concept of healing environment to alleviate the psychopathologies in schizophrenic patients. We worked under the premise that physical setting affects human behavior and mind, and that physical setting should play a role as a medium with therapeutic potential for patients with medical problems. The aims of this paper are as follows. First, theoretical discussion of the concept and the constructs of healing environment : second, understanding of the schizophrenic symptoms that may be affected by supporting environment : and third, discussion of supporting environment that may alleviate the symptoms of schizophrenia.

Recent breakthroughs in functional neuroimaging techniques have launched the quest of mapping the connections of the human brain, otherwise known as the human connectome. Imaging connectomics is an umbrella term that refers to the neuroimaging techniques used to generate these maps, which recently has enabled comprehensive brain mapping of network connectivity combined with graph theoretic methods. In this review, we present an overview of the key concepts in functional connectomics. Furthermore, we discuss articles that applied task-based and/or resting-state functional magnetic resonance imaging to examine network deficits in post-traumatic stress disorder (PTSD). These studies have provided important insights regarding the etiology of PTSD, as well as the overall organization of the brain network. Advances in functional connectomics are expected to provide insight into the pathophysiology and the development of biomarkers for diagnosis and treatment of PTSD.

Since the early 2000s, there has been a continued interest in lie detection using functional magnetic resonance imaging (fMRI) in neuroscience and forensic sciences, as well as in newly emerging fields including neuroethics and neurolaw. Related fMRI studies have revealed converging evidence that brain regions including the prefrontal cortex, anterior cingulate cortex, parietal cortex, and anterior insula are associated with deceptive behavior. However, fMRI-based lie detection has thus far not been generally accepted as evidence in court, as methodological shortcomings, generalizability issues, and ethical and legal concerns are yet to be resolved. In the present review, we aim to illustrate these achievements and limitations of fMRI-based lie detection.

Psychiatry has progressed with neurobiological basis, providing individually tailored treatment, preventing mental illness, and managing public mental health. Foundational knowledge that may contribute to the development of psychiatry and neuroscience has been attained through continual national and international investment in research. However, this knowledge obtained from neurobiological research is not being applied to clinical practice proactively. This may be due to a lack of support for translational research connecting neuroscience with clinical practice, and a lack of development and availability of educational programs for clinical psychiatrists. To solve these problems, it is essential to support translational research conducted by clinicians and to establish an appropriate reward system. Considering the direction of progress in psychiatry and the demand from clinicians, appropriate investment in research and education programs that provide neurobiological knowledge applicable to clinical practice is required. Researchers and educators must also communicate and collaborate to deliver neurobiological findings effectively.

Objectives Standardization of head size is essential for the volume study. Cortical thickness analyses are increasingly being used in many fields of neuroscience. However, it is not established whether head size correction should be done for thickness study. Methods Using the Open Access Series of Imaging Studies data, we determined cortical thickness of 316 cognitively normal participants aged 18-94 with FreeSurfer. The association between head size and cortical thickness of whole cortical mantle and in each lobe among age tertile groups was assessed. Estimated total intracranial volume (eTIV) was calculated for determining head size. Results Across all participants, cortical thickness in whole brain except some areas in cingulate and insula decreased with aging. eTIV had positive correlation with the thickness of frontal, parietal, occipital and whole brain areas. However, the age effect was not shown in whole brain of the first tertile group and in cingulate areas of the third tertile group. eTIV had negative correlation with the thickness of cingulate in the third tertile group. Gender effects were shown in some areas in third tertile group, but it would be due to difference of head size. Conclusions These findings suggest that head size standardization might be done especially in older population and in studies of paralimbic areas.

Objectives To examine the relationship between health-related quality of life (HRQoL) and body mass index (BMI) of obese children. Methods This cross-sectional study included 387 children. HRQoL was measured with the PedsQLTM 4.0 Generic Core Scale. BMI was classified according to the World Health Organization Asia-Pacific obesity guidelines. Psychosocial factors (body image, self-esteem, and depression/anxiety) were also measured. Data were analyzed using one-way analysis of variance, Pearson's correlation and Path analysis. Results Obese participants reported lower score for physical evaluation, self-esteem, appearance evaluation component of body image, total HRQoL score, and physical/emotional/social function components of HRQoL ; they reported higher score for depression/anxiety. In addition, results indicated that as BMI increased, appearance evaluation, total HRQoL score, and social function component of HRQoL dropped. Path analysis revealed that BMI did not directly affect HRQoL ; however, BMI directly affects body image and self-esteem, indirectly mediates depression/anxiety, and thereby impacts on an individual's HRQoL. Conclusions Body image and self-esteem, rather than BMI itself, have more influence on HRQoL. This reinforces the importance of therapeutic intervention to enhance body image and self-esteem among obese children.

Objectives The purpose of this study was to investigate the relationships among circadian typology, bipolarity and life satisfaction of university students. Methods A total 1232 participants completed questionnaires, which included Composite Scale of Morningness (CSM), Satisfaction with Life Scale (SWLS), and Mood Disorder Questionnaire (MDQ). Statistical analyses were done using correlation analysis, and analysis of covariance. Results The CSM score was positively associated with SWLS score (r = 0.232 ; p < 0.001). The morningness group has higher life satisfaction than the eveningness group (p < 0.001). The eveningness group has higher bipolarity than the morningness group (p < 0.001). The CSM score was negatively associated with MDQ score (r = -0.128 ; p < 0.001). Conclusions Bipolarity and life satisfaction were associated with circadian typology. Morningness was the important determinant of life satisfaction and bipolarity.

Objectives The aim of this study is to investigate the correlation between degenerative changes in brain [i.e., global cortical atrophy (GCA), medial temporal atrophy (MTA), white matter hyperintensities (WMH)] and neurocognitive dysfunction in Korean patients with Alzheimer's disease. Methods A total of 62 elderly subjects diagnosed with Alzheimer's disease were included in this study. The degenerative changes in brain MRI were rated with standardized visual rating scales (GCA or global cortical atrophy, MTA or medial temporal atrophy, and Fazekas scales) and the subjects were divided into two groups according to the degree of degeneration for each scale. Cognitive function was evaluated with Korean version of the Consortium to Establish a Registry for Alzheimer's Disease (CERAD-K) and several clinical features, including apolipoprotein E ${\varepsilon}4$ status, lipid profile and thyroid hormones, were also examined. Chi-square test and Fisher's exact test were performed to analyze the relationship between the degree of cerebral degeneration and neurocognitive functions. Results Demographic and clinical features, except for the age, did not show any significant difference between the two groups divided according to the degree of cerebral degenerative changes. However, higher degree of GCA was shown to be associated with poorer performance in verbal fluency test, word list recall test, and word list recognition test. Higher degree of MTA was shown to be associated with poorer performance in Mini-Mental State Examination in the Korean Version of CERAD Assessment Packet (MMSE-KC), word list recognition test and construction praxis recall test. Higher degree of white matter hyperintensities was shown to be associated with poorer performance in MMSE-KC. Conclusions Our results suggest that severe brain degeneration shown in MRI is associated with significantly poorer performance in neurocognitive tests in patients with Alzheimer's disease. Moreover, the degree of GCA, MTA and white matter hyperintensities, represented by scores from different visual rating scales, seems to affect certain neurocognitive domains each, which would provide useful information in clinical settings.