Positive psychiatry is the science and practice of psychiatry seeking to promote overall well-being and understand the “positive” aspects of the patient’s life, such as resilience, social connections, and meaning and values in life. While positive psychiatry research has recently blossomed, the field lacks practical ways to integrate these overarching principles into clinical practice. Life review interventions are commonly used in palliative care, spiritual care, and geriatrics, and involve a healthcare team member interviewing a patient about their life.

Our objective is to describe the implementation of a positive psychiatry-informed life story review initiative into medical education, with the goal of creating a structure for medical trainees to see the larger context of patients’ health, understand how past experiences influence current values, and improve patients’ overall well-being.

First- and third-year students at Alpert Medical School of Brown University are required to participate in at least one strengths-based life review with a patient in the community or inpatient setting, transcribe the story, and integrate the story into the electronic health record.

Preliminary results demonstrate high acceptability and perceived development of patient-centered competencies, such as understanding patients as more complete human beings. While this is a low cost and sustainable intervention, barriers include buy-in from medical educators, hospital administrators, and trainees.

To our knowledge, this is one of the first positive psychiatry-informed interventions to be implemented into the required medical curricula. Life story reviews may allow providers to understand the “positive” aspects of patients’ lives and understand their patients better as people.

Dysregulation of motivation and altered processing of reward represent important diagnostic criteria of bipolar disorder and have been proposed as a trait marker of the disorder. Until now, only few studies investigated the processing of reward and learning through reward and punishment in euthymic bipolar patients (BP).

Two studies were conducted to investigate mechanisms of reward learning and processing in euthymic BP and healthy individuals (HC).

In the first study, 23 euthymic BP, 15 remitted patients with Major depression (MD) and 16 HC participated in an associative learning task, assessing the efficiency of contingency learning as well as the preference to learn through positive or negative feedback. In the second study, a probabilistic reversal learning task was conducted during functional magnetic resonance imaging. Here, the neural correlates of reward and punishment were assessed in 22 euthymic BP and 21 HC.

We observed no group differences for the efficiency of contingency learning. However, euthymic BP with a manic episode prior to remission learned better from positive feedback whereas euthymic BP with a depressed episode prior to remission and remitted MD patients learned better from negative feedback. HC did not show such preferences in learning. In addition, bipolar patients exhibited increased orbitofrontal and parahippocampal activity in response to reward but no differences in response to punishment.

Interestingly, the last episode seems to differentially affect emotional and learning processes during euthymia. On a neural level, euthymic BP seem to be more sensitive to reward than healthy individuals.

A number of studies have investigated white matter abnormalities in patients with bipolar disorder (BD) using diffusion tensor imaging. However, tractography studies yielded heterogeneous results partly due to small sample sizes.

In this work we aimed to study white matter abnormalities using whole-brain tractography in a large multicenter sample of patients with BD I with and without psychotic features.

To compare mean generalized fractional anisotropy (GFA) along deep white matter tracts between patients with BD with a positive history of psychosis during illness phases, no such history and healthy controls.

We acquired diffusion-weighted MRI for 118 patients with BD I and 86 healthy controls using the same acquisition parameters and scanning hardware. We used Q-ball imaging tractography and an automatized segmentation technique to reconstruct 22 known deep white matter tracts and to obtain the mean GFA along each tract.

Patients with BD had lower GFA values than controls along the corpus callosum (body and splenium), the left cingulum and the left arcuate fasciculus, when controlling for age, gender and acquisition site. All results with an exception for the long fibers of the left cingulum were driven by patients with a positive history of psychotic symptoms.

We demonstrated a reduced integrity of interhemispheric, limbic and arcuate white matter tracts in patients with BD I. Further, interhemispheric pathways were more disrupted in patients with psychotic symptoms, underscoring the role of interhemispheric connectivity in the pathophysiology of BD with psychosis.

No evidence-based therapy for borderline personality disorder (BPD) exhibits a clear superiority. However, BPD is highly heterogeneous, and different patients may specifically benefit from the interventions of a particular treatment.

From a randomized trial comparing a year of dialectical behavior therapy (DBT) to general psychiatric management (GPM) for BPD, long-term (2-year-post) outcome data and patient baseline variables (n = 156) were used to examine individual and combined patient-level moderators of differential treatment response. A two-step bootstrapped and partially cross-validated moderator identification process was employed for 20 baseline variables. For identified moderators, 10-fold bootstrapped cross-validated models estimated response to each therapy, and long-term outcomes were compared for patients randomized to their model-predicted optimal v. non-optimal treatment.

Significant moderators surviving the two-step process included psychiatric symptom severity, BPD impulsivity symptoms (both GPM > DBT), dependent personality traits, childhood emotional abuse, and social adjustment (all DBT > GPM). Patients randomized to their model-predicted optimal treatment had significantly better long-term outcomes (d = 0.36, p = 0.028), especially if the model had a relatively stronger (top 60%) prediction for that patient (d = 0.61, p = 0.004). Among patients with a stronger prediction, this advantage held even when applying a conservative statistical check (d = 0.46, p = 0.043).

Patient characteristics influence the degree to which they respond to two treatments for BPD. Combining information from multiple moderators may help inform providers and patients as to which treatment is the most likely to lead to long-term symptom relief. Further research on personalized medicine in BPD is needed.

Victimisation by the police is purported to be widespread in cities in the USA, but there is limited data on police–public encounters from community samples. This is partly due to an absence of measures for assessing police violence exposure from the standpoint of civilians. As such, the demographic distribution and mental health correlates of police victimisation are poorly understood. The aims of this study were to present community-based prevalence estimates of positive policing and police victimisation based on assessment with two novel measures, and to test the hypotheses that (1) exposure to police victimisation would vary across demographic groups and (2) would be associated with depression and psychological distress.

The Survey of Police–Public Encounters study surveyed adults residing in four US cities to examine the prevalence, demographic distribution and psychological correlates of police victimisation. Participants (N = 1615) completed measures of psychological distress (K-6 scale), depression (Patient Health Questionnaire 9) and two newly constructed measures of civilian-reported police–public encounters. Both measures were developed to assess police victimisation based on the WHO domains of violence, which include physical violence (with and without a weapon, assessed separately), sexual violence (inappropriate sexual contact, including public strip searches), psychological violence (e.g., threatening, intimidating, stopping without cause, or using discriminatory slurs) and neglect (police not responding when called or responding too late). The Police Practices Inventory assesses lifetime history of exposure to positive policing and police victimisation, and the Expectations of Police Practices Scale assesses the perceived likelihood of future incidents of police victimisation. Linear regression models were used to test for associations between police–public encounters and psychological distress and depression.

Psychological violence (18.6%) and police neglect (18.8%) were commonly reported in this sample and a substantial minority of respondents also reported more severe forms of violence, specifically physical (6.1%), sexual (2.8%) and physical with a weapon (3.3%). Police victimisation was more frequently reported by racial/ethnic minorities, males, transgender respondents and younger adults. Nearly all forms of victimisation (but not positive policing) were associated with psychological distress and depression in adjusted linear regression models.

Victimisation by police appears to be widespread, inequitably distributed across demographic groups and psychologically impactful. These findings suggest that public health efforts to both reduce the prevalence of police violence and to alleviate its psychological impact may be needed, particularly in disadvantaged urban communities.

Language use is of increasing interest in the study of mental illness. Analytical approaches range from phenomenological and qualitative to formal computational quantitative methods. Practically, the approach may have utility in predicting clinical outcomes. We harnessed a real-world sample (blog entries) from groups with psychosis, strong beliefs, odd beliefs, illness, mental illness and/or social isolation to validate and extend laboratory findings about lexical differences between psychosis and control subjects.

We describe the results of two experiments using Linguistic Inquiry and Word Count software to assess word category frequencies. In experiment 1, we compared word use in psychosis and control subjects in the laboratory (23 per group), and related results to subject symptoms. In experiment 2, we examined lexical patterns in blog entries written by people with psychosis and eight comparison groups. In addition to between-group comparisons, we used factor analysis followed by clustering to discern the contributions of strong belief, odd belief and illness identity to lexical patterns.

Consistent with others’ work, we found that first-person pronouns, biological process words and negative emotion words were more frequent in psychosis language. We tested lexical differences between bloggers with psychosis and multiple relevant comparison groups. Clustering analysis revealed that word use frequencies did not group individuals with strong or odd beliefs, but instead grouped individuals with any illness (mental or physical).

Pairing of laboratory and real-world samples reveals that lexical markers previously identified as specific language changes in depression and psychosis are probably markers of illness in general.