BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.

Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms and divergent responses to treatment. This clinical heterogeneity has hindered the progress of precision diagnosis and treatment effectiveness in psychiatric disorders. In this study, we propose BPI-GNN, a new interpretable graph neural network (GNN) framework for analyzing functional magnetic resonance images (fMRI), by leveraging the famed prototype learning. In addition, we introduce a novel generation process of prototype subgraph to discover essential edges of distinct prototypes and employ total correlation (TC) to ensure the independence of distinct prototype subgraph patterns. BPI-GNN can effectively discriminate psychiatric patients and healthy controls (HC), and identify biological meaningful subtypes of psychiatric disorders. We evaluate the performance of BPI-GNN against 11 popular brain network classification methods on three psychiatric datasets and observe that our BPI-GNN always achieves the highest diagnosis accuracy. More importantly, we examine differences in clinical symptom profiles and gene expression profiles among identified subtypes and observe that our identified brain-based subtypes have the clinical relevance. It also discovers the subtype biomarkers that align with current neuro-scientific knowledge.

Mental disorders, participation, and trajectories in the Danish colorectal cancer programme: a population-based cohort study.

BACKGROUND: People with mental disorders exhibit increased mortality due to colorectal cancer, despite having a similar incidence to the general population. We aimed to evaluate the extent to which people with mental disorders participate in organised colorectal cancer screening. METHODS: We conducted a population-based cohort study of all Danish residents aged 50-74 years who were invited to undergo biennial faecal immunochemical testing between March 1, 2014, and Sept 30, 2018. We used national registry data from all first-time invitees. The primary endpoint was participation within 90 days of invitation. We calculated the proportion who participated and assessed their screening results and adherence to and completeness of follow-up colonoscopy according to their history of mental disorders, classified as none, mild or moderate, or severe. We computed crude and adjusted participation differences in percentage points and participation ratios using the pseudo-observations method. FINDINGS: Of 2 036 704 people who were invited, we included 2 036 352 in the final cohort, of whom 1 008 045 (49·5%) were men and 1 028 307 (50·5%) were women, with a mean age of 60·7 years (SD 8·3, range 49-78). Data on ethnicity were not collected. Compared with people with no mental disorders, the adjusted analysis showed lower participation among people with mild or moderate mental disorders (men: participation difference -4·4 percentage points [95% CI -4·7 to -4·1]; women: -3·8 percentage points [-4·1 to -3·6]) and severe mental disorders (men: participation difference -13·8 percentage points [-14·3 to -13·3]; women: -15·4 percentage points [-15·8 to -14·9]). People with mental disorders had a higher proportion of positive faecal immunochemical test results, lower adherence to colonoscopy, and more incomplete colonoscopies than people without mental disorders. INTERPRETATION: People with mental disorders were less likely to participate in colorectal cancer screening than those without these disorders. Patients with mental disorders could benefit from support or encouragement from their general practitioner or mental health-care facility to participate in cancer screening. Potential interventions should consider type of mental disorder, as needs might differ. FUNDING: Danish Cancer Society, Danish Health Foundation.

Development of inferiority-compensation scale among high school students.

An increasing number of high school students are inflicted by different degrees of mental disorders in learning, such as moodiness, learning difficulties, test anxiety, difficulty coping with frustration, etc., which are one of the factors leading to the inferiority of students. In the present study, the initial scale of inferiority compensation for high school students was developed through literature searching, expert evaluation, interviews, and an open scale. 1187 high school students were tested in different periods, after deleting an invalid 83 scales, including 461 copies of valid scale of exploratory factor analysis in the first stage and 643 copies of valid scale of confirmatory factor analysis in the second stage. The results showed that the inferiority compensation scale for high school students consisted of two sub-scale: self-compensation and others-compensation, ach two were composed of five dimensions including academic performance, physical fitness, social communication, appearance, and self-esteem. Confirmatory factor analysis showed that the total scale and the two sub-scale all had good structural validity (RMSEA≤0.08; CFI&IFI ≥ 0.9), and the combined reliability and values (such as the correlation coefficient of each dimension) of the two sub-scale were within the ideal range. With good reliability and validity (Cronbacα&KMO ≥ 0.90), and meeting the requirements of psychometrics, the scale can be used in the relevant research and practice of inferiority compensation for high school students.

Pediatric Emergency Department Visits Associated with Mental Health Conditions Before and During the COVID-19 Pandemic - United States, January 2019-January 2022.

In 2021, a national emergency* for children's mental health was declared by several pediatric health organizations, and the U.S. Surgeon General released an advisory† on mental health among youths. These actions resulted from ongoing concerns about children's mental health in the United States, which was exacerbated by the COVID-19 pandemic (1,2). During March-October 2020, among all emergency department (ED) visits, the proportion of mental health-related visits increased by 24% among U.S. children aged 5-11 years and 31% among adolescents aged 12-17 years, compared with 2019 (2). CDC examined changes in U.S. pediatric ED visits for overall mental health conditions (MHCs) and ED visits associated with specific MHCs (depression; anxiety; disruptive behavioral and impulse-control disorders; attention-deficit/hyperactivity disorder; trauma and stressor-related disorders; bipolar disorders; eating disorders; tic disorders; and obsessive-compulsive disorders [OCD]) during 2019 through January 2022 among children and adolescents aged 0-17 years, overall and by sex and age. After declines in weekly visits associated with MHCs among those aged 0-17 years during 2020, weekly numbers of ED visits for MHCs overall and for specific MHCs varied by age and sex during 2021 and January 2022, when compared with corresponding weeks in 2019. Among adolescent females aged 12-17 years, weekly visits increased for two of nine MHCs during 2020 (eating disorders and tic disorders), for four of nine MHCs during 2021 (depression, eating disorders, tic disorders, and OCD), and for five of nine MHCs during January 2022 (anxiety, trauma and stressor-related disorders, eating disorders, tic disorders, and OCD), and overall MHC visits during January 2022, compared with 2019. Early identification and expanded evidence-based prevention and intervention strategies are critical to improving children's and adolescents' mental health (1-3), especially among adolescent females, who might have increased need.

Classifying major mental disorders genetically.

Typically, mental disorders are defined and classified based on clinical symptoms and syndromes. Although clinically useful, current diagnostic systems for psychiatry cause concerns due to the lack of biological mechanisms. Deciphering the relationships among psychiatric traits according to their genetic basis may facilitate understanding the biological mechanisms of psychiatric disorders. Ten mental disorders were classified by genomic structural equation modeling (SEM), which leverages summary results of genome-wide association studies. Attention-deficit/hyperactivity disorder (ADHD), anorexia nervosa (AN), anxiety disorder (ANX), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), schizophrenia (SZ), and Tourette syndrome (TS) were included. The analysis indicates that they are genetically inter-correlated with one another and can be separated based on their general psychopathology. Most disorders have a close partner, forming pairs of traits; only TS is a relatively distinctive condition. At a higher level, MDD, ANX, ADHD, ASD, and PTSD cluster together, while OCD, AN, and TS cluster together. Together, the ten traits constitute a hierarchical classificatory system. This study allows inference of genetically determined classification of the ten mental disorders, which may biologically inform the current diagnostic framework and treatment regimens for mental disorders.

AI ethics in computational psychiatry: From the neuroscience of consciousness to the ethics of consciousness.

Methods used in artificial intelligence (AI) overlap with methods used in computational psychiatry (CP). Hence, considerations from AI ethics are also relevant to ethical discussions of CP. Ethical issues include, among others, fairness and data ownership and protection. Apart from this, morally relevant issues also include potential transformative effects of applications of AI-for instance, with respect to how we conceive of autonomy and privacy. Similarly, successful applications of CP may have transformative effects on how we categorise and classify mental disorders and mental health. Since many mental disorders go along with disturbed conscious experiences, it is desirable that successful applications of CP improve our understanding of disorders involving disruptions in conscious experience. Here, we discuss prospects and pitfalls of transformative effects that CP may have on our understanding of mental disorders. In particular, we examine the concern that even successful applications of CP may fail to take all aspects of disordered conscious experiences into account.

Using big data of genetics, health claims, and brain imaging to challenge the categorical classification in mental illness.

Psychiatric disorders in first-degree relatives (FDRs) often differ from the index patient's diagnosis, suggesting that there is genetic contribution to psychiatric disorders in which related cases do not all map to the same diagnosis as the index case. Our aim is to look for psychiatric comorbidities across major mental illnesses using three approaches, genetics, clinical diagnosis, and brain imaging to address common associations and pathology among mental illnesses. Genome-wide association studies from the Psychiatric Genomics Consortium showed single gene polymorphisms are common across 5 major psychiatric disorders, including schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD). Clinically, results of Taiwan's nationwide population studies showed that other major psychiatric disorders were more likely to coaggregate in families with an index case of an individual with a psychiatric disorder, compared to control families. Finally, resting functional connectivity (FC) magnetic resonance imaging (MRI) and whole-brain connectomic analysis of SZ, BD I, BD II, MDD, and healthy controls revealed that the four groups of patients shared similar patterns of abnormal neural substrate in the brain that differed from controls. In conclusion, using big data from genetics, administrative health claims, and brain imaging, we identified concordance, indicating dimensional coherence of genetic heritability, clinical mutual associations, and common neurobiological substrates across major psychiatric disorders. These results will challenge the current diagnostic classification system and possibly move psychiatry beyond descriptive syndromes towards a nosology informed by disease cause.

Suicide Risk Among Adults With Mental Health Emergency Department Visits With and Without Suicidal Symptoms.

Objective: To describe risk factors and suicide rates during the year following discharge from mental health emergency department (ED) visits by adults with suicide attempts, suicidal ideation, or neither.Methods: National cohorts of patients with mental health ED visits for suicide attempts or self-harm (n = 55,323), suicidal ideation (n = 435,464), or other mental health visits (n = 9,144,807) from 2008 to 2012 Medicaid data were followed for suicide for 1 year after discharge. Suicide rates per 100,000 person-years were determined from National Death Index data. Poisson regression models, adjusted for age, sex, and race/ethnicity, estimated suicide rate ratios (RRs). Suicide standardized mortality ratios (SMRs) were estimated from National Vital Statistics System data.Results: Suicide rates per 100,000 person-years were 325.4 for suicide attempt or self-harm visits (RR = 5.51, 95% CI, 4.64-6.55), 156.6 for suicidal ideation visits (RR = 2.59, 95% CI, 2.34-2.87), and 57.0 for the other mental health ED visits (1.0, reference). Compared to expected suicide general population rates, SMRs were 18.2 (95% CI, 13.0-23.4) for suicide attempt or self-harm patients, 10.6 (95% CI, 9.0-12.2) for suicidal ideation patients, and 3.2 (95% CI, 3.1-3.4) for other ED mental health patients. Among patients with suicide attempt ED visits in the 180 days before their index mental health ED visit, suicide rates per 100,000 person-years were 687.2 (95% CI, 396.5-978.0) for attempt or self-harm visits, 397.4 (95% CI, 230.6-564.3) for ideation visits, and 328.4 (95% CI, 241.5-415.4) for other mental health visits.Conclusions: In the year following discharge, emergency department patients with suicide attempts or self-harm, especially repeated attempts, have a high risk of suicide.

Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study.

Identifying the possible factors of psychiatric symptoms among children can reduce the risk of adverse psychosocial outcomes in adulthood. We designed a classification tool to examine the association between modifiable risk factors and psychiatric symptoms, defined based on the Persian version of the WHO-GSHS questionnaire in a developing country. Ten thousand three hundred fifty students, aged 6-18 years from all Iran provinces, participated in this study. We used feature discretization and encoding, stability selection, and regularized group method of data handling (GMDH) to classify the a priori specific factors (e.g., demographic, sleeping-time, life satisfaction, and birth-weight) to psychiatric symptoms. Self-rated health was the most critical feature. The selected modifiable factors were eating breakfast, screentime, salty snack for depression symptom, physical activity, salty snack for worriedness symptom, (abdominal) obesity, sweetened beverage, and sleep-hour for mild-to-moderate emotional symptoms. The area under the ROC curve of the GMDH was 0.75 (CI 95% 0.73-0.76) for the analyzed psychiatric symptoms using threefold cross-validation. It significantly outperformed the state-of-the-art (adjusted p < 0.05; McNemar's test). In this study, the association of psychiatric risk factors and the importance of modifiable nutrition and lifestyle factors were emphasized. However, as a cross-sectional study, no causality can be inferred.

Psychiatry and the 21st Century: Reworking the DSM.

ABSTRACT: After a long and torturous path, an elusive quest for structure and order may have misled the American Psychiatric Association to overexpand the scope of its Diagnostic and Statistical Manual (DSM) codification of mental disorders. The DSM and guidelines came to represent American psychiatry to the world. Although important for epidemiological and statistical research, in volume and complexity, the DSM challenges clinicians. The DSM effort at categorization must be reconceived to acknowledge modern biological realities. Molecular and other selective biological sciences no longer dominate biology as they did at the time of DSM's initial conception. Today, a Darwinian-Hippocratic combined biology leads psychiatry to address individuals and populations irretrievably and uniquely interdependent with environments. Unfortunately, the DSM, as currently conceived, fails to support this emerging 21st century biological grounding for psychiatry.

The genetic architecture of the human thalamus and its overlap with ten common brain disorders.

The thalamus is a vital communication hub in the center of the brain and consists of distinct nuclei critical for consciousness and higher-order cortical functions. Structural and functional thalamic alterations are involved in the pathogenesis of common brain disorders, yet the genetic architecture of the thalamus remains largely unknown. Here, using brain scans and genotype data from 30,114 individuals, we identify 55 lead single nucleotide polymorphisms (SNPs) within 42 genetic loci and 391 genes associated with volumes of the thalamus and its nuclei. In an independent validation sample (n = 5173) 53 out of the 55 lead SNPs of the discovery sample show the same effect direction (sign test, P = 8.6e-14). We map the genetic relationship between thalamic nuclei and 180 cerebral cortical areas and find overlapping genetic architectures consistent with thalamocortical connectivity. Pleiotropy analyses between thalamic volumes and ten psychiatric and neurological disorders reveal shared variants for all disorders. Together, these analyses identify genetic loci linked to thalamic nuclei and substantiate the emerging view of the thalamus having central roles in cortical functioning and common brain disorders.

What is a mental disorder? An exemplar-focused approach.

The question of 'what is a mental disorder?' is central to the philosophy of psychiatry, and has crucial practical implications for psychiatric nosology. Rather than approaching the problem in terms of abstractions, we review a series of exemplars - real-world examples of problematic cases that emerged during work on and immediately after DSM-5, with the aim of developing practical guidelines for addressing future proposals. We consider cases where (1) there is harm but no clear dysfunction, (2) there is dysfunction but no clear harm, and (3) there is possible dysfunction and/or harm, but this is controversial for various reasons. We found no specific criteria to determine whether future proposals for new entities should be accepted or rejected; any such proposal will need to be assessed on its particular merits, using practical judgment. Nevertheless, several suggestions for the field emerged. First, while harm is useful for defining mental disorder, some proposed entities may require careful consideration of individual v. societal harm, as well as of societal accommodation. Second, while dysfunction is useful for defining mental disorder, the field would benefit from more sharply defined indicators of dysfunction. Third, it would be useful to incorporate evidence of diagnostic validity and clinical utility into the definition of mental disorder, and to further clarify the type and extent of data needed to support such judgments.

6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records.

BACKGROUND: Neurological and psychiatric sequelae of COVID-19 have been reported, but more data are needed to adequately assess the effects of COVID-19 on brain health. We aimed to provide robust estimates of incidence rates and relative risks of neurological and psychiatric diagnoses in patients in the 6 months following a COVID-19 diagnosis. METHODS: For this retrospective cohort study and time-to-event analysis, we used data obtained from the TriNetX electronic health records network (with over 81 million patients). Our primary cohort comprised patients who had a COVID-19 diagnosis; one matched control cohort included patients diagnosed with influenza, and the other matched control cohort included patients diagnosed with any respiratory tract infection including influenza in the same period. Patients with a diagnosis of COVID-19 or a positive test for SARS-CoV-2 were excluded from the control cohorts. All cohorts included patients older than 10 years who had an index event on or after Jan 20, 2020, and who were still alive on Dec 13, 2020. We estimated the incidence of 14 neurological and psychiatric outcomes in the 6 months after a confirmed diagnosis of COVID-19: intracranial haemorrhage; ischaemic stroke; parkinsonism; Guillain-Barré syndrome; nerve, nerve root, and plexus disorders; myoneural junction and muscle disease; encephalitis; dementia; psychotic, mood, and anxiety disorders (grouped and separately); substance use disorder; and insomnia. Using a Cox model, we compared incidences with those in propensity score-matched cohorts of patients with influenza or other respiratory tract infections. We investigated how these estimates were affected by COVID-19 severity, as proxied by hospitalisation, intensive therapy unit (ITU) admission, and encephalopathy (delirium and related disorders). We assessed the robustness of the differences in outcomes between cohorts by repeating the analysis in different scenarios. To provide benchmarking for the incidence and risk of neurological and psychiatric sequelae, we compared our primary cohort with four cohorts of patients diagnosed in the same period with additional index events: skin infection, urolithiasis, fracture of a large bone, and pulmonary embolism. FINDINGS: Among 236 379 patients diagnosed with COVID-19, the estimated incidence of a neurological or psychiatric diagnosis in the following 6 months was 33·62% (95% CI 33·17-34·07), with 12·84% (12·36-13·33) receiving their first such diagnosis. For patients who had been admitted to an ITU, the estimated incidence of a diagnosis was 46·42% (44·78-48·09) and for a first diagnosis was 25·79% (23·50-28·25). Regarding individual diagnoses of the study outcomes, the whole COVID-19 cohort had estimated incidences of 0·56% (0·50-0·63) for intracranial haemorrhage, 2·10% (1·97-2·23) for ischaemic stroke, 0·11% (0·08-0·14) for parkinsonism, 0·67% (0·59-0·75) for dementia, 17·39% (17·04-17·74) for anxiety disorder, and 1·40% (1·30-1·51) for psychotic disorder, among others. In the group with ITU admission, estimated incidences were 2·66% (2·24-3·16) for intracranial haemorrhage, 6·92% (6·17-7·76) for ischaemic stroke, 0·26% (0·15-0·45) for parkinsonism, 1·74% (1·31-2·30) for dementia, 19·15% (17·90-20·48) for anxiety disorder, and 2·77% (2·31-3·33) for psychotic disorder. Most diagnostic categories were more common in patients who had COVID-19 than in those who had influenza (hazard ratio [HR] 1·44, 95% CI 1·40-1·47, for any diagnosis; 1·78, 1·68-1·89, for any first diagnosis) and those who had other respiratory tract infections (1·16, 1·14-1·17, for any diagnosis; 1·32, 1·27-1·36, for any first diagnosis). As with incidences, HRs were higher in patients who had more severe COVID-19 (eg, those admitted to ITU compared with those who were not: 1·58, 1·50-1·67, for any diagnosis; 2·87, 2·45-3·35, for any first diagnosis). Results were robust to various sensitivity analyses and benchmarking against the four additional index health events. INTERPRETATION: Our study provides evidence for substantial neurological and psychiatric morbidity in the 6 months after COVID-19 infection. Risks were greatest in, but not limited to, patients who had severe COVID-19. This information could help in service planning and identification of research priorities. Complementary study designs, including prospective cohorts, are needed to corroborate and explain these findings. FUNDING: National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centre.

Peripandemic psychiatric emergencies: impact of the COVID-19 pandemic on patients according to diagnostic subgroup.

On March 11th, 2020, the outbreak of coronavirus disease 2019 (COVID-19) was declared a pandemic. Governments took drastic measures in an effort to reduce transmission rates and virus-associated morbidity. This study aims to present the immediate effects of the pandemic on patients presenting in the psychiatric emergency department (PED) of Hannover Medical School. Patients presenting during the same timeframe in 2019 served as a control group. A decrease in PED visits was observed during the COVID-19 pandemic with an increase in repeat visits within 1 month (30.2 vs. 20.4%, pBA = 0.001). Fewer patients with affective disorders utilized the PED (15.2 vs. 22.2%, pBA = 0.010). Suicidal ideation was stated more frequently among patients suffering from substance use disorders (47.4 vs. 26.8%, pBA = 0.004), while patients with schizophrenia more commonly had persecutory delusions (68.7 vs. 43.5%, pBA = 0.023) and visual hallucinations (18.6 vs. 3.3%, pBA = 0.011). Presentation rate of patients with neurotic, stress-related, and somatoform disorders increased. These patients were more likely to be male (48.6 vs. 28.9%, pBA = 0.060) and without previous psychiatric treatment (55.7 vs. 36.8%, pBA = 0.089). Patients with personality/behavioral disorders were more often inhabitants of psychiatric residencies (43.5 vs. 10.8%, pBA = 0.008). 20.1% of patients stated an association between psychological well-being and COVID-19. Most often patients suffered from the consequences pertaining to social measures or changes within the medical care system. By understanding how patients react to such a crisis situation, we can consider how to improve care for patients in the future and which measures need to be taken to protect these particularly vulnerable patients.

Hikikomori: psychopathology and differential diagnosis of a condition with epidemic diffusion.

OBJECTIVE: Hikikomori, from the Japanese words 'hiku' (to pull) and 'komoru' (to withdraw), is a clinical condition in which a subject locks himself/herself into his/her own house for more than 6 months. This condition is becoming relevant in Japan and other Asian countries, with new cases emerging in Europe and a steep increase in its incidence. METHODS: In this article, the various psychopathological and diagnostic hypothesis and the different criteria proposed by the various authors have been analysed and compared, paying attention also to the new studies conducted in Europe and to therapeutic perspectives that are opening up for its treatment. RESULTS: Numerous hypothesis have been put forward for the genesis of hikikomori, in particular, the hypothesis of a behaviour seen as a dysfuncion of the family system or as a result of our current modern society. Furthermore, this behaviour has been compared to other conditions such as internet addiction and a specific form of depression called Modern Type Depression (MTD). CONCLUSIONS: Hikikomori could represent the clinical answer to a social evolution, similarly to other phenomena such as binge behaviours and use of psychoactive substances. Further studies are needed to clarify diffusion, diagnosticassessment and differential diagnosis.Key pointsHikikomori is now considered a contemporary society-bound syndrome linked to modern society changes.Hikikomori might be a coping strategy to avoid relationships, social judgement and possible failures.Hikikomori might represent an extreme suffering that needs to be identified early: it is linked to severe form of modern type depression and it is a risk factor for suicidal behaviours.It is important to inform and sensitise communities about hikikomori to assure early interventions.More clinical studies are needed to define a unitary and specific model of hikikomori and to structure focussed interventions.

The 12-month prevalence of psychotic experiences and their association with clinical outcomes in Hong Kong: an epidemiological and a 2-year follow up studies.

BACKGROUND: The relationship between the subtypes of psychotic experiences (PEs) and common mental health symptoms remains unclear. The current study aims to establish the 12-month prevalence of PEs in a representative sample of community-dwelling Chinese population in Hong Kong and explore the relationship of types of PEs and common mental health symptoms. METHOD: This is a population-based two-phase household survey of Chinese population in Hong Kong aged 16-75 (N = 5719) conducted between 2010 and 2013 and a 2-year follow-up study of PEs positive subjects (N = 152). PEs were measured with Psychosis Screening Questionnaire (PSQ) and subjects who endorsed any item on the PSQ without a clinical diagnosis of psychotic disorder were considered as PE-positive. Types of PEs were characterized using a number of PEs (single v. multiple) and latent class analysis. All PE-positive subjects were assessed with common mental health symptoms and suicidal ideations at baseline and 2-year follow-up. PE status was also assessed at 2-year follow-up. RESULTS: The 12-month prevalence of PEs in Hong Kong was 2.7% with 21.1% had multiple PEs. Three latent classes of PEs were identified: hallucination, paranoia and mixed. Multiple PEs and hallucination latent class of PEs were associated with higher levels of common mental health symptoms. PE persistent rate at 2-year follow-up was 15.1%. Multiple PEs was associated with poorer mental health at 2-year follow-up. CONCLUSIONS: Results highlighted the transient and heterogeneous nature of PEs, and that multiple PEs and hallucination subtype of PEs may be specific indices of poorer common mental health.

Polygenic risk score as clinical utility in psychiatry: a clinical viewpoint.

Genome-wide association studies (GWASs) have detected many susceptible variants for common diseases, including psychiatric disorders. However, because of the small effect size of each variant, clinical utility that aims for risk prediction and/or diagnostic assistance based on the individual "variants" is difficult to use. Therefore, to improve the statistical power, polygenic risk score (PRS) has been established and applied in the GWAS as a robust analytic tool. Although PRS has potential predictive ability, because of its current "insufficient" discriminative power at the individual level for clinical use, it remains limited solely in the research area, specifically in the psychiatric field. For a better understanding of the PRS, in this review, we (1) introduce the clinical features of psychiatric disorders, (2) summarize the recent GWAS/PRS findings in the psychiatric disorders, (3) evaluate the problems of PRS, and (4) propose its possible utility to apply PRS into the psychiatric clinical setting.

Scepticism of the gentle variety: interview with Derek Bolton, PhD.

This interview with Derek Bolton, PhD, goes into a discussion of his philosophical work on the diagnosis and definition of mental disorder, the basis of the standards or norms by which we judge that a person has a mental disorder, and the validity of the distinction between abnormal and normal mental functioning. Bolton argues that the notion that emerges from a conceptual analysis of psychiatry's diagnostic manuals is not a naturalist notion of disorder, but one that is focussed on harm and suffering, and in which the personal, the social and the biological cannot be clearly distinguished. The implications of this thinking with regards to the relationship between the medical model and the psychological approaches are also discussed. His most recent philosophical work reconceptualizes the biopsychosocial model as a philosophical theory of biopsychosocial causal interactions and he argues that there are causal regulatory functions within the psychological domain, and this is so independent of whether they can be captured by a physicochemical description of brain processes.

Can Trans-Syndromal Prototypes ("Types") Improve Depiction of Complex Psychiatric Cases?: An Alternative Way to Consider Concordant Comorbid Psychiatric Disorders and Their Contexts as Coherent Units for Research, Assessment, and Treatment Planning.

BACKGROUND AND AIMS: In many psychiatric settings, patients with complex cases are the rule rather than the exception. These cases are characterized by multidiagnostic conditions, often complicated with distressed social contexts, for which few if any evidence-based practice guidelines exist. The aim of this hypothesis-generating article is to consider whether and how these cases might comprise trans-syndromal prototypes ("types"), coherent units that could serve as the basis for further study, assessment, and treatment planning. METHODS: For context, psychiatric and medical visit diagnoses and problem lists noted among principle visit diagnoses and "snapshot" portions of electronic medical records were tabulated for 293 psychiatric outpatients seen consecutively during a 1-week period at a university psychiatric clinic. By considering resulting comorbidity patterns in these records from the perspectives of clinicians caring for these patients, several commonly encountered diagnostic-problem sets emerged as candidate types. RESULTS: Of 293 patients, only 18% had a single diagnosis, 43% had two, 29% had three, and 7% had four or more noted. Occurring in assorted combinations, specific diagnostic areas noted included depressive disorders (68%, the large majority major depressive disorder recurrent), anxiety disorders (60%, the large majority generalized anxiety disorder, with or without panic disorder and/or social anxiety disorder), posttraumatic stress disorder (22%), attention deficit hyperactivity disorder (ADHD) (17%), alcohol and substance abuse disorders (16%), personality disorders (11%), and bipolar disorders (18%). Several illustrative candidate types emerging from this population are described including major anxious depressive disorder, anxiety disorder secondary to ADHD, complex emotional instability disorder, multi-impulsive eating disorder, substance-dependent impoverished personality disorder, painful mood disorder, and complex personal and cultural trauma disorder. Other potential types are identified as well. CONCLUSIONS AND IMPLICATIONS: The types described here are but a small selection, because other settings including community mental health centers, private practices, public and private hospitals, and forensic facilities see a variety of other types as well. The study of types might provide important findings about pathogenesis, course, outcome, and treatment to augment information obtained from examination of individual diagnostic components.