A phenomenological inquiry into the costs and consequences of insomnia for veterans with serious mental illness.

Many individuals with serious mental illness (i.e. schizophrenia spectrum, bipolar or major depressive disorders, with serious functional impairments) have insomnia symptoms.

How do US military veterans with serious mental illness manage insomnia? A phenomenological analysis.

Insomnia is a prevalent experience for individuals with serious mental illness, and is one of the most common reasons for mental health referrals in the Veterans Health Administration. Insomnia also critically impacts psychiatric, cognitive and somatic outcomes. However, there is limited information about how people with serious mental illness (i.

Sharing positive events: Ecological momentary assessment of emotion regulation via social capitalization in schizotypy.

Emotional deficits are prominent in schizophrenia-spectrum psychopathology and linked with poorer outcomes. Schizotypy, an underlying personality organization that putatively confers vulnerability to developing schizophrenia, has been associated with increased negative affect, decreased positive affect, and some difficulty with emotion regulation. This study explored the role of social capitalization, the upregulation of positive emotion when positive life events are shared with others, in schizotypy.

Validating Biobehavioral Technologies for Use in Clinical Psychiatry.

The last decade has witnessed the development of sophisticated biobehavioral and genetic, ambulatory, and other measures that promise unprecedented insight into psychiatric disorders. As yet, clinical sciences have struggled with implementing these objective measures and they have yet to move beyond "proof of concept." In part, this struggle reflects a traditional, and conceptually flawed, application of traditional psychometrics (i.

Predicting self-injurious thoughts in daily life using ambulatory assessment of state cognition.

Self-injurious thoughts (SITs) fluctuate considerably from moment to moment. As such, "static" and temporally stable predictors (e.g.

Frontal alpha asymmetry in schizotypy: electrophysiological evidence for motivational dysfunction.

Schizotypy is defined as personality traits reflecting an underlying risk for schizophrenia-spectrum disorders. As yet, there is a dearth of suitable objective markers for measuring schizotypy. Frontal alpha asymmetry, characterised by reduced left versus right frontal region activity, reflects trait-like diminished approach-related systems and has been found in schizophrenia.

Digital phenotyping of negative symptoms: the relationship to clinician ratings.

Negative symptoms are a critical, but poorly understood, aspect of schizophrenia. Measurement of negative symptoms primarily relies on clinician ratings, an endeavor with established reliability and validity. There have been increasing attempts to digitally phenotype negative symptoms using objective biobehavioral technologies, eg, using computerized analysis of vocal, speech, facial, hand and other behaviors.

Ambulatory digital phenotyping of blunted affect and alogia using objective facial and vocal analysis: Proof of concept.

Negative symptoms reflect one of the most debilitating aspects of one of the most debilitating diseases known to humankind. As yet, our treatments for negative symptoms are palliative at best and our understanding of their causes is relatively superficial. To address this, we are developing objective ambulatory tools for digitally phenotyping their severity which can be used outside the confines of the traditional clinical and research settings.

The importance of loneliness in psychotic-like symptoms: Data from three studies.

Poor social connection or loneliness is a prominent feature of schizotypy and may exacerbate psychosis risk. Previous studies have examined the inter-relationships between loneliness and psychosis risk, but critically, they have largely been conducted in non-clinical samples or exclusively used laboratory questionnaires with limited consideration of the heterogeneity within schizotypy (i.e.

Psychiatric Risk Assessment from the Clinician's Perspective: Lessons for the Future.

Accurate prediction of risk-states in Serious Mental Illnesses (SMIs) is critical for reducing their massive societal burden. Risk-state assessments are notably inaccurate. Recent innovations, including widely available and inexpensive mobile technologies for ambulatory "biobehavioral" data, can reshape risk assessment.

A phenomenological inquiry into the experience of sleep: Perspectives of US military veterans with insomnia and serious mental illness.

The majority of people with serious mental illness experience insomnia, and insomnia is one of the most frequent reasons for mental health referrals in the Veterans Health Administration. Insomnia also represents a critical obstacle to mental health recovery. Little is known about how military veterans with mental health problems conceptualize their sleep and sleep problems; such information may uncover new avenues for research and treatment.

Exploring the racial diagnostic bias of schizophrenia using behavioral and clinical-based measures.

There is evidence that African Americans are 2.4 times more likely to be diagnosed with a schizophrenia-spectrum diagnosis compared with White individuals, who are more likely to receive an affective diagnosis. The reason for these diagnostic discrepancies is unclear, however, 2 explanations have garnered attention: epigenetic differences and systematic error or bias in the diagnostic process.

Ambulatory vocal acoustics, temporal dynamics, and serious mental illness.

Acoustic analysis of vocal expression offers a potentially inexpensive, unobtrusive, and highly sensitive biobehavioral measure of serious mental illness (SMI)-related issues. Despite literature documenting its use for understanding SMI, prior studies have largely ignored that vocal expression is highly dynamic within individuals over time. We employed ambulatory vocal assessment from SMI outpatients to understand links between vocal expression, SMI symptoms, and affective states.

Targets for the Treatment of Insomnia in Veterans With Serious Mental Illness.

Study Objectives: Insomnia is pervasive among people with serious mental illnesses (SMI) and has a profound negative impact on their psychiatric symptom management and recovery. However, little is known about the factors that affect severity of insomnia in those with SMI. In addition, very few studies have explored whether evidence-based interventions developed for those without SMI are appropriate for or applicable to individuals with SMI.

Gender differences in mood stabilizer medications prescribed to Veterans with serious mental illness.

Background: Mood stabilizer medications (MSMs) can induce significant weight gain and other metabolic side effects. Research suggests that women are more susceptible to psychotropic medication-induced metabolic side effects than men. We examined gender differences in the likelihood of receiving an MSM with a lower liability for weight gain using data from the U.

Gender differences in antipsychotics prescribed to veterans with serious mental illness.

Objective: To examine gender differences in prescribing of antipsychotic medications (APMs) according to their liability for weight gain and other metabolic side effects.

Method: We identified 4510 patients with schizophrenia or bipolar disorders receiving usual care in a Veterans Affairs (VA) health care network in the U.S.

Evaluation of quetiapine abuse and misuse reported to poison centers.

Objective: There are case reports of abuse of quetiapine, but no studies address quetiapine abuse or misuse. Most literature on the population that abuses quetiapine describes an older age group with previous substance abuse history, many of whom are in jail. The objective of this study was to evaluate national poison center data on misuse/abuse of quetiapine.