Mental health professionals are one of the major sources of stigma for persons with schizophrenia and their families. The stereotype of incompetence is central in this stigmatization, whereas valuing skills is a fundamental aspect of mental health care and recovery.

The aim of this study is to identify the domains of competence stigmatized in schizophrenia by mental health professionals and the factors associated with this stigmatization.

An online survey was conducted with a specific measure of the stereotype of incompetence and these associated factors. Participants were to be mental health professionals who work or have worked with persons with schizophrenia. These participants were recruited through professional social networks.

Responses of 164 participants were analyzed. The results reported four highly stigmatized skill domains: ability to relate well socially, ability to be effective in their work, ability to make decisions about their health, and ability to control their emotions. Intelligence was found to be less stigmatized than the other dimensions. Recovery beliefs, categorical beliefs, and perceived similarities were factors associated with the stereotype of incompetence.

Responses of 164 participants were analyzed. The results reported four highly stigmatized skill domains: ability to relate well socially, ability to be effective in their work, ability to make decisions about their health, and ability to control their emotions. Intelligence was found to be less stigmatized than the other dimensions. Recovery beliefs, categorical beliefs, and perceived similarities were factors associated with the stereotype of incompetence.

No significant relationships.

Mental health care is considered to be one of the main sources of mental illness stigmatization. Detailed information about these stigmatization experiences is needed to reduce stigma in mental health practices.

The study aimed i) to identify the most relevant stigmatizing situations in mental health care encountered by users and families, ii) to characterize the relative importance of these situations in terms of frequency, experienced stigmatization and suffering, and iii) to identify individual and contextual factors associated with these experiences.

In a focus group, users were asked to select the 15 most relevant stigmatization situations among those they elicited and those that were taken from the literature. An online survey was then conducted among users and family members to characterize these situations and identify predictors.

A total of 235 participants were included: 59 participants with schizophrenia diagnosis, 96 with other psychiatric diagnoses and 80 family members. The results revealed 15 situations with different levels of frequency, stigmatization and suffering. Participants with a diagnosis of schizophrenia experienced more situations of stigmatization and with a higher frequency. Moreover, factors such as recovery-oriented practices and measures without consent were the best predictors of experienced stigmatization.

These original stigmatization situations could be targeted to reduce stigmatization and associated suffering in mental health practices. Results strongly suggest that recovery-oriented practice should be fostered to fight stigma in mental health care.

No significant relationships.

The consequences of schizophrenia stigma are numerous and highly damaging to individuals, their families, the health care system and society. Mental health professionals (MHP) are considered to be one of the main sources of schizophrenia stigmatization.

The aim of the study was to identify individual and contextual factors associated with stigmatization in MHP in its three dimensions.

An online survey was conducted with specific measures of MHP stigmatization (stereotypes, prejudices and discrimination). Four categories of potential associated factors were also measured: sociodemographic information, contextual characteristics (e.g. work setting), individual characteristics (e.g. profession, recovery-oriented practices) and theoretical beliefs (e.g. biological beliefs, perceived similarities, continuum beliefs). Models of prediction were computed when applicable.

Responses of 357 MHP were analysed. The main factors associated with stigmatization (stereotypes, prejudice) in MHP are of two types: i) individual beliefs (about mental illness: biological etiological beliefs, categorical beliefs; or about MHP themselves: professional utility beliefs, similarity beliefs) and ii) characteristics of practices (recovery oriented practice, work setting, profession).

These original results suggest new strategies for reducing stigma in mental health practices such as focusing on individual beliefs and fostering recovery-oriented practice and professional utility beliefs.

No significant relationships.

Two common approaches to identify subgroups of patients with bipolar disorder are clustering methodology (mixture analysis) based on the age of onset, and a birth cohort analysis. This study investigates if a birth cohort effect will influence the results of clustering on the age of onset, using a large, international database.

The database includes 4037 patients with a diagnosis of bipolar I disorder, previously collected at 36 collection sites in 23 countries. Generalized estimating equations (GEE) were used to adjust the data for country median age, and in some models, birth cohort. Model-based clustering (mixture analysis) was then performed on the age of onset data using the residuals. Clinical variables in subgroups were compared.

There was a strong birth cohort effect. Without adjusting for the birth cohort, three subgroups were found by clustering. After adjusting for the birth cohort or when considering only those born after 1959, two subgroups were found. With results of either two or three subgroups, the youngest subgroup was more likely to have a family history of mood disorders and a first episode with depressed polarity. However, without adjusting for birth cohort (three subgroups), family history and polarity of the first episode could not be distinguished between the middle and oldest subgroups.

These results using international data confirm prior findings using single country data, that there are subgroups of bipolar I disorder based on the age of onset, and that there is a birth cohort effect. Including the birth cohort adjustment altered the number and characteristics of subgroups detected when clustering by age of onset. Further investigation is needed to determine if combining both approaches will identify subgroups that are more useful for research.

Postoperative cognitive impairment is among the most common medical complications associated with surgical interventions – particularly in elderly patients. In our aging society, it is an urgent medical need to determine preoperative individual risk prediction to allow more accurate cost–benefit decisions prior to elective surgeries. So far, risk prediction is mainly based on clinical parameters. However, these parameters only give a rough estimate of the individual risk. At present, there are no molecular or neuroimaging biomarkers available to improve risk prediction and little is known about the etiology and pathophysiology of this clinical condition. In this short review, we summarize the current state of knowledge and briefly present the recently started BioCog project (Biomarker Development for Postoperative Cognitive Impairment in the Elderly), which is funded by the European Union. It is the goal of this research and development (R&D) project, which involves academic and industry partners throughout Europe, to deliver a multivariate algorithm based on clinical assessments as well as molecular and neuroimaging biomarkers to overcome the currently unsatisfying situation.

Neuroimaging measures of behavioral and emotional dysregulation can yield biomarkers denoting developmental trajectories of psychiatric pathology in youth. We aimed to identify functional abnormalities in emotion regulation (ER) neural circuitry associated with different behavioral and emotional dysregulation trajectories using latent class growth analysis (LCGA) and neuroimaging.

A total of 61 youth (9–17 years) from the Longitudinal Assessment of Manic Symptoms study, and 24 healthy control youth, completed an emotional face n-back ER task during scanning. LCGA was performed on 12 biannual reports completed over 5 years of the Parent General Behavior Inventory 10-Item Mania Scale (PGBI-10M), a parental report of the child's difficulty regulating positive mood and energy.

There were two latent classes of PGBI-10M trajectories: high and decreasing (HighD; n = 22) and low and decreasing (LowD; n = 39) course of behavioral and emotional dysregulation over the 12 time points. Task performance was >89% in all youth, but more accurate in healthy controls and LowD versus HighD (p < 0.001). During ER, LowD had greater activity than HighD and healthy controls in the dorsolateral prefrontal cortex, a key ER region, and greater functional connectivity than HighD between the amygdala and ventrolateral prefrontal cortex (p's < 0.001, corrected).

Patterns of function in lateral prefrontal cortical–amygdala circuitry in youth denote the severity of the developmental trajectory of behavioral and emotional dysregulation over time, and may be biological targets to guide differential treatment and novel treatment development for different levels of behavioral and emotional dysregulation in youth.

Patients with major depressive disorder (MDD) present with highly heterogeneous symptom profiles. We aimed to examine whether individual differences in amygdala activity to emotionally salient stimuli were related to heterogeneity in lifetime levels of depressive and subthreshold manic symptoms among adults with MDD.

We compared age- and gender-matched adults with MDD (n = 26) with healthy controls (HC, n = 28). While undergoing functional magnetic resonance imaging, participants performed an implicit emotional faces task: they labeled a color flash superimposed upon initially neutral faces that dynamically morphed into one of four emotions (angry, fearful, sad, happy). Region of interest analyses examined group differences in amygdala activity. For conditions in which adults with MDD displayed abnormal amygdala activity versus HC, within-group analyses examined amygdala activity as a function of scores on a continuous measure of lifetime depression-related and mania-related pathology.

Adults with MDD showed significantly greater right-sided amygdala activity to angry and happy conditions than HC (p < 0.05, corrected). Multiple regression analyses revealed that greater right-amygdala activity to the happy condition in adults with MDD was associated with higher levels of subthreshold manic symptoms experienced across the lifespan (p = 0.002).

Among depressed adults with MDD, lifetime features of subthreshold mania were associated with abnormally elevated amygdala activity to emerging happy faces. These findings are a first step toward identifying biomarkers that reflect individual differences in neural mechanisms in MDD, and challenge conventional mood disorder diagnostic boundaries by suggesting that some adults with MDD are characterized by pathophysiological processes that overlap with bipolar disorder.

Individuals with bipolar disorder demonstrate abnormal social function. Neuroimaging studies in bipolar disorder have shown functional abnormalities in neural circuitry supporting face emotion processing, but have not examined face identity processing, a key component of social function. We aimed to elucidate functional abnormalities in neural circuitry supporting face emotion and face identity processing in bipolar disorder.

Twenty-seven individuals with bipolar disorder I currently euthymic and 27 healthy controls participated in an implicit face processing, block-design paradigm. Participants labeled color flashes that were superimposed on dynamically changing background faces comprising morphs either from neutral to prototypical emotion (happy, sad, angry and fearful) or from one identity to another identity depicting a neutral face. Whole-brain and amygdala region-of-interest (ROI) activities were compared between groups.

There was no significant between-group difference looking across both emerging face emotion and identity. During processing of all emerging emotions, euthymic individuals with bipolar disorder showed significantly greater amygdala activity. During facial identity and also happy face processing, euthymic individuals with bipolar disorder showed significantly greater amygdala and medial prefrontal cortical activity compared with controls.

This is the first study to examine neural circuitry supporting face identity and face emotion processing in bipolar disorder. Our findings of abnormally elevated activity in amygdala and medial prefrontal cortex (mPFC) during face identity and happy face emotion processing suggest functional abnormalities in key regions previously implicated in social processing. This may be of future importance toward examining the abnormal self-related processing, grandiosity and social dysfunction seen in bipolar disorder.