How Does Adding the DSM-5 Criterion Increased Energy/Activity for Mania Change the Bipolar Landscape?

Mesolimbic dopamine neurons drive infradian rhythms in sleep-wake and heightened activity state

Infradian mood and sleep-wake rhythms with periods of 48 hours and beyond have been observed in patients with bipolar disorder (BD), which even persist in the absence of exogenous timing cues, indicating an endogenous origin. Here, we show that mice exposed to methamphetamine in drinking water develop infradian locomotor rhythms with periods of 48 hours and beyond which extend to sleep length and manic state-associated behaviors in support of a model for cycling in BD. The cycling capacity is abrogated upon genetic disruption of dopamine (DA) production in DA neurons of the ventral tegmental area (VTA) or ablation of nucleus accumbens projecting DA neurons. Furthermore, chemogenetic activation of VTADA neurons including those that project to the nucleus accumbens led to locomotor period lengthening in circadian clock-deficient mice, which was counteracted by antipsychotic treatment. Together, our findings argue that BD cycling relies on infradian rhythm generation that depends on mesolimbic DA neurons.

Mood or energy/activity symptoms in bipolar mania: which are the most informative?

OBJECTIVE

In the DSM-III and the DSM-IV, bipolar disorder (BD) is classified as a mood disorder and diagnosis requires presence of a mood change, i.e., euphoria or irritability. In contrast, DSM-5 states that there must be some increase in energy or motor activity in addition to the mood change. Our aim was to identify which types of symptoms (i.e., mood or energy/activity-related symptoms) are the most informative in a manic episode.

METHODS

Symptoms of manic episodes in 106 outpatients with BD were assessed in a naturalistic study using the Young Mania Rating Scale (YMRS) between November 2002 and November 2015. The scale items were divided into three groups according to clinical criteria: mood, energy/activity, and other. For comparisons between groups, the Samejima graded response model from Item Response Theory (IRT) and the Test Information Function (TIF) were computed. Chi-square tests were used to verify the association between the groups of symptoms by comparing the area under the curve of the TIF results.

RESULTS

The information accounted for by energy/activity represents 77% of the proportion of the total TIF; about 23% is related to mood and other groups of symptoms. These proportions are statistically different (χ²[1] = 30.42, p < 0.001).

CONCLUSION

On average, changes in energy/activity tend to be more informative than mood changes during the manic phases of BD.

The Genetic Side of the Mood: A Scientometric Review of the Genetic Basis of Mood Disorders

Mood disorders are highly heritable psychiatric disorders. Over the years, many genetic polymorphisms have been identified to pose a higher risk for the development of mood disorders. To overview the literature on the genetics of mood disorders, a scientometric analysis was performed on a sample of 5342 documents downloaded from Scopus. The most active countries and the most impactful documents in the field were identified. Furthermore, a total of 13 main thematic clusters emerged in the literature. From the qualitative inspection of clusters, it emerged that the research interest moved from a monogenic to a polygenic risk framework. Researchers have moved from the study of single genes in the early 1990s to conducting genome-wide association studies around 2015. In this way, genetic overlaps between mood disorders and other psychiatric conditions emerged too. Furthermore, around the 2010s, the interaction between genes and environmental factors emerged as pivotal in understanding the risk for mood disorders. The inspection of thematic clusters provides a valuable insight into the past and recent trends of research in the genetics of mood disorders and sheds light onto future lines of research.

Bipolar disorder in the International Classification of Diseases-Eleventh version: A review of the changes, their basis, and usefulness

The World Health Organization’s 11^th revision of the International Classification of Diseases (ICD-11) including the chapter on mental disorders has come into effect this year. This review focuses on the “Bipolar or Related Disorders” section of the ICD-11 draft. It describes the benchmarks for the new version, particularly the foremost principle of clinical utility. The alterations made to the diagnosis of bipolar disorder (BD) are evaluated on their scientific basis and clinical utility. The change in the diagnostic requirements for manic and hypomanic episodes has been much debated. Whether the current criteria have achieved an optimum balance between sensitivity and specificity is still not clear. The ICD-11 definition of depressive episodes is substantially different, but the lack of empirical support for the changes has meant that the reliability and utility of bipolar depression are relatively low. Unlike the Diagnostic and Statistical Manual of Mental Disorders, 5^th edition (DSM-5), the ICD-11 has retained the category of mixed episodes. Although the concept of mixed episodes in the ICD-11 is not perfect, it appears to be more inclusive than the DSM-5 approach. Additionally, there are some uncertainties about the guidelines for the subtypes of BD and cyclothymic disorder. The initial results on the reliability and clinical utility of BD are promising, but the newly created diagnostic categories also appear to have some limitations. Although further improvement and research are needed, the focus should now be on facing the challenges of implementation, dissemination, and education and training in the use of these guidelines.

The effectiveness of psychoeducation in improving attitudes towards psychological disorders and internalized stigma in the family members of bipolar patients: A quasi‐experimental study

Family members of bipolar patients experience stigma following being labeled by others, which can disrupt their routine lives and result in social isolation. This study aims to evaluate the effectiveness of psychoeducation in improving the attitudes of bipolar patients' family members towards psychological disorders and internalized stigma. The present study is a quasi-experimental study with a pre- and post-test follow-up design, in which 74 individuals were selected by convenience sampling among families who had a member with a bipolar disorder who was referred to the largest psychiatric hospital in Iran in 2021. The participants were randomly divided into the experimental and control groups (n = 37 per group). The members of the experimental group then underwent eight 90-min sessions of psychoeducation. The control group also received psychoeducation at the end of the study. The results of analysis of covariance showed that psychoeducation reduced internalized stigma in the family members of bipolar patients and increased their positive attitudes towards psychological disorders compared with the control group (p < .01). On this basis, psychoeducation can be useful to reduce the internalized stigma of family members of bipolar patients and to increase their positive attitudes towards psychological disorders.

The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

Comorbid Bipolar and Alcohol Use Disorder-A Therapeutic Challenge

Comorbidity rates in Bipolar disorder rank highest among major mental disorders, especially comorbid substance use. Besides cannabis, alcohol is the most frequent substance of abuse as it is societally accepted and can be purchased and consumed legally. Estimates for lifetime comorbidity of bipolar disorder and alcohol use disorder are substantial and in the range of 40-70%, both for Bipolar I and II disorder, and with male preponderance. Alcohol use disorder and bipolarity significantly influence each other's severity and prognosis with a more complicated course of both disorders. Modern treatment concepts acknowledge the interplay between these disorders using an integrated therapy approach where both disorders are tackled in the same setting by a multi-professional team. Motivational interviewing, cognitive behavioral and socio- therapies incorporating the family and social environment are cornerstones in psychotherapy whereas the accompanying pharmacological treatment aims to reduce craving and to optimize mood stability. Adding valproate to lithium may reduce alcohol consumption whereas studies with antipsychotics or naltrexone and acamprosate did not affect mood fluctuations or drinking patterns. In summary, there is a continuous need for more research in order to develop evidence-based approaches for integrated treatment of this frequent comorbidity.