DSM-5 and ICD-11 criteria for bipolar disorder: Implications for the prevalence of bipolar disorder and validity of the diagnosis - A narrative review from the ECNP bipolar disorders network

Modulation of cerebellar homotopic connectivity by modified electroconvulsive therapy at rest: Study of first-episode, drug-naive adolescent major depressive disorder

Previous studies of brain function alterations that are associated with modified electroconvulsive therapy (MECT) for major depressive disorder (MDD) have yielded conflicting results because of variations in treatment durations, types of antidepressants, and disease course. Consequently, predicting the efficacy of MECT remains challenging. Thirty patients with first-episode, drug-naive adolescent MDD and 34 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging and neuropsychological tests. The patients received MECT and underwent scanning at two time points (baseline and posttreatment). Voxel-mirrored homotopic connectivity (VMHC), support vector machine (SVM), and support vector regression (SVR) analyses were employed to analyze the imaging data. Compared with HCs, patients at baseline exhibited greater VMHC in the cerebellum_2 and cerebellum_8. Following treatment, patients exhibited the restoration of normal VMHC values. Additionally, SVM and receiver operating characteristic curve analyses revealed that VMHC values in the cerebellum_2 could differentiate MDD patients from HCs with 73.85 % accuracy, 70.00% sensitivity, 79.41 % specificity, and an area under the curve of 0.7486. Furthermore, the SVR results indicated a significant association between predicted and actual symptomatic improvement based on the reduction ratio of Hamilton Depression Rating Scale-17 total scores (R2 = 0.5269, P < 0.0001). This study provides evidence that MECT modulates homotopic connectivity of the cerebellum_2 in first-episode, drug-naive adolescent MDD. Moreover, VMHC values in the cerebellum_2 may serve as a valuable neuroimaging biomarker for distinguishing MDD from HCs and potentially predicting early treatment response in MDD.

Association Between Health-Related Physical Fitness and Depressive Symptoms in Chinese Adolescents: A Nationwide Cross-Sectional Study Under the Healthy China Initiative

Objective

This study explores the relationship between health-related physical fitness and depressive states in adolescents and examines the influence of gender, age, and parental education.

Methods

A stratified and cluster sampling method selected 689 students (grades 7, 8, 10, and 11) from a Beijing middle school. After screening, 441 adolescents (12-18 years, 55.3% male) were included. Measurements included body composition (BMI), cardiopulmonary fitness (vital capacity), muscular strength/endurance (grip strength, sit-ups, standing long jump), and flexibility (sit-and-reach). Depressive states were assessed using the depression subscale of the Achenbach Youth Self-Report Scale (YSR). Data were analyzed using SPSS 24.0 with descriptive statistics, stratified analysis, and Pearson correlation.

Results

Cardiopulmonary fitness was significantly negatively correlated with depressive states (r = -0.346, p < 0.001), while grip strength showed a weak positive correlation with depression (r = 0.137, p = 0.003). Standing long jump exhibited a slight positive correlation with depression scores (r = 0.114, p < 0.05), but the effect size was negligible. BMI, sit-ups, and sit-and-reach showed no significant correlation with depression scores (p > 0.05). Stratified analysis revealed that females aged 15-18 had significantly higher depression scores than their male counterparts (p < 0.001) and were negatively correlated with cardiopulmonary fitness (r = -0.32, p = 0.002). Grip strength in males significantly increased with age (r = 0.62, p < 0.001), while in females, it stabilized after age 15 and showed no significant correlation with depression (p > 0.05).

Conclusion

Cardiopulmonary fitness is a key factor in adolescent mental health, with a stronger impact than muscular strength. Late-adolescent females are at higher depression risk, likely due to lower cardiopulmonary fitness and increased stress. Findings highlight the need for interventions improving cardiopulmonary fitness to support adolescent mental health.

Abnormal network homogeneity in patients with bipolar disorder in attention network

Bipolar disorder (BD) is a complex psychiatric condition marked by significant mood fluctuations that deeply affect quality of life. Understanding the neural mechanisms underlying BD is critical for improving diagnostic accuracy and developing more effective treatments. This study utilized resting-state functional magnetic resonance imaging (rs-fMRI) to investigate functional connectivity within the ventral and dorsal attention networks in 52 patients with BD and 51 healthy controls. Independent Component Analysis (ICA) was employed to establish network templates, while Network Homogeneity (NH) analysis facilitated the comparison of NH values across various brain regions. We examined the association of NH values with clinical measures, including the Hamilton Depression Scale, Perceptual Deficit Questionnaire, and Young Mania Scale. Results indicated that BD patients exhibited lower NH values in the right inferior temporal gyrus of the dorsal attention network and the right middle temporal gyrus of the ventral attention network compared to controls. Notably, NH values in the right superior marginal gyrus of the ventral network were higher in the BD group. Although no significant correlations were found between NH values and clinical symptoms, Support Vector Machine (SVM) analysis demonstrated over 60% accuracy in differentiating BD patients based on NH values. These findings highlight the potential of NH measures as biomarkers for BD, underscore the importance of advanced neuroimaging in uncovering the disorder's complex neural dynamics, and point to the challenges and need for further research to improve predictive accuracy.

Are Adults With Bipolar Disorder at Increased Cardiovascular Risk due to Their Physical, Biochemical, and Physiological Profiles? The FINEXT-BD Study

INTRODUCTION

Bipolar disorder (BD) is associated with considerable morbidity and premature mortality, mainly due to somatic causes. This study aims to determine some physical, exercise capacity-related physiological variables and biochemical markers of health status in adults (45.4 ± 13.1 years) with BD (n = 65) compared to a healthy control (HC) population (n = 29) sample and to estimate cardiovascular risk (CVR) through different methods in the BD group.

METHODS

Multiple assessments included body composition, cardiorespiratory fitness (CRF), and biochemical parameters. CVR was calculated using the Framingham Heart Study, SCORE2, and relative risk methods.

RESULTS

The BD population, compared to the HC, showed unfavorable body composition (waist-to-hip ratio, 0.9 ± 0.1 vs. 0.8 ± 0.1; fat body mass, 33.3 ± 10.2 vs. 24.3 ± 8.9%, p ≤ 0.001), CRF (peak oxygen uptake, 25.2 ± 8.2 vs. 33.4 ± 8.7 mL kg-1 min-1; and cardiorespiratory optimal point, 27.9 ± 4.2 vs. 23.6 ± 4.2 ventilation/oxygen uptake ratio, p ≤ 0.05), biochemical concentrations of atherogenic indexes (total cholesterol/high-density lipoprotein cholesterol ratio, 4.1 ± 1.5 vs. 3.3 ± 1.0; and triglycerides/high-density lipoprotein cholesterol ratio, 2.8 ± 2.3 vs. 1.5 ± 1.0, p ≤ 0.05), and inflammatory C-reactive protein (3.8 ± 10.2 vs. 0.9 ± 1.05 mg/dL, p ≤ 0.05). Consequently, CVR showed higher values (p ≤ 0.05) in BD (high risk, 3.1%) compared to HC (low-to-moderate risk, 2.2%) participants, according to SCORE2, higher (p ≤ 0.05) vascular age (49.8 years) than chronological age (45.8 years), with a significant difference (p = 0.005) compared to HC.

CONCLUSIONS

This study highlights the importance of specific physical, biochemical, and physiological screening and CVR and vascular age assessment for people with BD. The practical application of these findings would prevent cardiovascular disease in BD and promote a healthier lifestyle as an adjuvant strategy to pharmacological intervention.

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning

Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diagnosis and treatment rates remain low due to its diverse and often overlapping clinical manifestations. In this context, electroencephalography (EEG) has gained attention as a potential objective tool for diagnosing depression. This study aimed to evaluate the effectiveness of EEG in identifying MDD by analyzing 140 EEG recordings from patients diagnosed with depression and healthy volunteers. Using various machine learning (ML) classification models, we achieved up to 80% accuracy in distinguishing individuals with MDD from healthy controls. Despite its promise, this approach has limitations. The variability in the clinical and biological presentations of depression, as well as patient-specific confounding factors, must be carefully considered when integrating ML technologies into clinical practice. Nevertheless, our findings suggest that an EEG-based ML model holds potential as a diagnostic aid for MDD, paving the way for further refinement and clinical application.

Relationships Among Demographic Factors, Stigma, Social Support, and Self-Management in Individuals With Bipolar Disorder in Remission

The current cross-sectional study aimed to investigate the extent to which demographic characteristics, stigma, and social support impact the self-management abilities of individuals with bipolar disorder in remission. Participants (N = 114) completed a demographic questionnaire, Self-Stigma Scale-Short Form, Social Support Rating Scale, and Self-Management Scale for Patients With Bipolar Disorder. Mean scores were 60.65 (SD = 10.42) for self-management, 35.76 (SD = 7.14) for social support, and 21.38 (SD = 5.06) for stigma. In the univariate analysis, age, educational level, method of payment for care, illness duration, and number of hospitalizations demonstrated significant associations with self-management (p < 0.05). Correlation analysis revealed a positive correlation between self-management and social support (r = 0.574, p < 0.01) and negative correlations between self-management and stigma (r = -0.489, p < 0.01) and stigma and social support (r = -0.476, p < 0.01). Multiple linear regression analysis included number of hospitalizations (β = -3.818), social support (β = 0.436), literacy (β = 2.132), and stigma (β = -0.397). Individuals in remission from bipolar disorder exhibit moderate levels of self-management. Follow-up interventions should prioritize enhancing social support and addressing stigma to promote improved self-management and overall well-being. [Journal of Psychosocial Nursing and Mental Health Services, 62(7), 26-35.].

Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers

BACKGROUND

Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As symptoms may overlap, misdiagnosis is common, potentially leading to ineffective or destabilizing treatment. Diagnostic biomarkers could significantly improve clinical care by reducing dependence on symptomatic presentation.

METHODS

We used deep learning analysis (DLA) of resting electroencephalograph (EEG) to differentiate healthy control (HC) subjects (N = 239), from those with major depressive disorder (MDD) (N = 105), MDD-atypical (MDD-A) (N = 27), MDD-psychotic (MDD-P) (N = 35), bipolar disorder-depressed episode (BD-DE) (N = 71), BD-manic episode (BD-ME) (N = 49), and schizophrenia (SCZ) (N = 122) and also differentiate subjects with mental disorders on a pair-wise basis. DSM-III-R diagnoses were determined and supplemented by computerized Quick Diagnostic Interview Schedule. After EEG preprocessing, robust exact low-resolution electromagnetic tomography (ReLORETA) computed EEG sources for 82 brain regions. 20 % of all subjects were then set aside for independent testing. Feature selection methods were then used for the remaining subjects to identify brain source regions that are discriminating between diagnostic categories.

RESULTS

Pair-wise classification accuracies between 90 % and 100 % were obtained using independent test subjects whose data were not used for training purposes. The most frequently selected features across various pairs are in the postcentral, supramarginal, and fusiform gyri, the hypothalamus, and the left cuneus. Brain sites discriminating SCZ from HC were mainly in the left hemisphere while those separating BD-ME from HC were on the right.

LIMITATIONS

The use of superseded DSM-III-R diagnostic system and relatively small sample size in some disorder categories that may increase the risk of overestimation.

CONCLUSIONS

DLA of EEG could be trained to autonomously classify psychiatric disorders with over 90 % accuracy compared to an expert clinical team using standardized operational methods.

The Assessment of Awareness of Early Warning Signs of Bipolar Disorder Recurrence Among Patients and Their Main Caregivers in Jordan

Introduction

One of the biggest challenges to public health is increasing knowledge of the early warning signs (EWS) of bipolar disorder recurrence. The recurrence incidence is still high despite multiple attempts to improve the awareness level. The awareness level is still ambiguous and insufficient.

Objective

The purpose of this study was to assess the degree of awareness of EWS of bipolar disorder recurrence among patients and their main caregivers in Jordan.

Methods

A descriptive cross-sectional design was used to recruit 275 patients and their main caregivers to fill out the adapted version of the Awareness of the EWS of Relapse Questionnaire.

Results

The analysis showed that patients and their main caregivers' awareness of the EWS of bipolar disorder recurrence was low and inadequate (patients, mean = 2.61 (SD = 2.6); main caregivers, mean = 3.84 (SD = 2.2); scores range from 0 to 10).

Conclusion

According to the study, the awareness level of these signs is still vague and inadequate. This means that ensuring long-term positive results for patients and their main caregivers requires a high degree of awareness regarding the warning signs and symptoms of bipolar disorder recurrence. To engage in standard practice, EWS of bipolar disorder recurrence awareness necessitate adequate resources, support, and an empowered and well-communicated multidisciplinary team.

Regional Homogeneity of the Left Posterior Cingulate Gyrus May Be a Potential Imaging Biomarker of Manic Episodes in First-Episode, Drug-Naive Bipolar Disorder

Introduction

Abnormal brain networks with emotional response in bipolar disorder (BD). However, there have been few studies on the local consistency between manic episodes in drug-naive first-episode BD patients and healthy controls (HCs). The purpose of this study is to evaluate the utility of neural activity values analyzed by Regional Homogeneity (ReHo).

Methods

Thirty-seven manic episodes in first-episode, drug-naive BD patients and 37 HCs participated in resting-state functional magnetic resonance rescanning and scale estimation. Reho and receiver operating characteristic (ROC) curve methods were used to analyze the imaging data. Support vector machine (SVM) method was used to analyze ReHo in different brain regions.

Results

Compared to HCs, ReHo increased in the left middle temporal gyrus (MTG.L), posterior cingulate gyrus (PCG), inferior parietal gyrus, and bilateral angular gyrus, and decreased in the left dorsolateral superior frontal gyrus in target group. The ROC results showed that the ReHo value of the left PCG could discriminate the target group from the HCs, and the AUC was 0.8766. In addition, the results of the support vector machine show that the increase in ReHo value in the left PCG can effectively discriminate the patients from the controls, with accuracy, sensitivity, and specificity of 86.02%, 86.49%, and 81.08%, respectively.

Conclusion

The increased activity of the left PCG may contribute new evidence of participation in the pathophysiology of manic episodes in first-episode, drug-naive BD patients. The Reho value of the left posterior cingulate gyrus may be a potential neuroimaging biomarker to discriminate target group from HCs.

Mapping the scientific research on bipolar disorder: A scientometric study of hotspots, bursts, and trends

Bipolar disorder (BD) is a severe psychiatric illness with an increasing prevalence worldwide. Although the pathological mechanism of and pharmacological interventions for BD have been extensively investigated in preclinical and clinical studies, a scientometric analysis of the developmental trends, interdisciplinary frontiers, and research hotspots in this field has not yet been conducted. Therefore, we performed a comprehensive scientometric review of 55,358 published studies on BD over the past two decades (2002-2021) to identify the most frequently used keywords and explore research hotspots and trajectories. The present findings revealed the main distribution, knowledge structure, topic evolution, and emerging topics of BD research. Analysing the risk factors, pathogenesis, key brain regions, comorbid conditions, and treatment strategies for BD contributed to understanding of the aetiology, progression, and treatment of this disorder. These findings provided substantial support for continued research in this area.

Frontoparietal network homogeneity as a biomarker for mania and remitted bipolar disorder and a predictor of early treatment response in bipolar mania patient

OBJECTIVE

Previous studies have revealed the frontoparietal network (FPN) plays a key role in the imaging pathophysiology of bipolar disorder (BD). However, network homogeneity (NH) in the FPN among bipolar mania (BipM), remitted bipolar disorder (rBD), and healthy controls (HCs) remains unknown. The present study aimed to explore whether NH within the FPN can be used as an imaging biomarker to differentiate BipM from rBD and to predict treatment efficacy for patients with BipM.

METHODS

Sixty-six patients with BD (38 BipM and 28 rBD) and 60 HCs participated in resting-state functional magnetic resonance imaging and neuropsychological tests. Independent component analysis and NH analysis were applied to analyze the imaging data.

RESULTS

Relative to HCs, BipM patients displayed increased NH in the left middle frontal gyrus (MFG), and rBD patients displayed increased NH in the right inferior parietal lobule (IPL). Compared to rBD patients, BipM patients displayed reduced NH in the right IPL. Furthermore, support vector machine results exhibited that NH values in the right IPL could distinguish BipM patients from rBD patients with 69.70 %, 57.89 %, and 91.67 % for accuracy, sensitivity, and specificity, respectively, and support vector regression results exhibited a significant association between predicted and actual symptomatic improvement based on the reduction ratio of the Young` Mania Rating Scale total scores (r = 0.466, p < 0.01).

CONCLUSION

The study demonstrated distinct NH values in the FPN could serve as a valuable neuroimaging biomarker capable of differentiating patients with BipM and rBD, and NH values of the left MFG as a potential predictor of early treatment response in patients with BipM.

Improved estimation of the risk of manic relapse by combining clinical and brain scan data

INTRODUCTION

Estimating the risk of manic relapse could help the psychiatrist individually adjust the treatment to the risk. Some authors have attempted to estimate this risk from baseline clinical data. Still, no studies have assessed whether the estimation could improve by adding structural magnetic resonance imaging (MRI) data. We aimed to evaluate it.

MATERIAL AND METHODS

We followed a cohort of 78 patients with a manic episode without mixed symptoms (bipolar type I or schizoaffective disorder) at 2-4-6-9-12-15-18 months and up to 10 years. Within a cross-validation scheme, we created and evaluated a Cox lasso model to estimate the risk of manic relapse using both clinical and MRI data.

RESULTS

The model successfully estimated the risk of manic relapse (Cox regression of the time to relapse as a function of the estimated risk: hazard ratio (HR)=2.35, p=0.027; area under the curve (AUC)=0.65, expected calibration error (ECE)<0.2). The most relevant variables included in the model were the diagnosis of schizoaffective disorder, poor impulse control, unusual thought content, and cerebellum volume decrease. The estimations were poorer when we used clinical or MRI data separately.

CONCLUSION

Combining clinical and MRI data may improve the risk of manic relapse estimation after a manic episode. We provide a website that estimates the risk according to the model to facilitate replication by independent groups before translation to clinical settings.

Does Decreased Vitamin D Level Trigger Bipolar Manic Attacks?

BACKGROUND

Bipolar disorder is a chronic psychiatric disorder with depression and manic episodes. It is one of the leading causes of disease-related disability worldwide. Despite the presence of various alternative drug options for bipolar disorder, some patients do not adequately benefit from the treatment. Therefore, possible underlying mechanisms need to be clarified. Recently, studies on the relationship between bipolar disorder and vitamin D (Vit D) have attracted attention. Although many studies have found an association between depression and Vit D deficiency, little is known about the relationship between manic episodes and Vit D. The aim of this study was to compare Vit D and related metabolites of bipolar manic episodes prior to treatment, bipolar remission after treatment, and healthy control groups.

METHODS

This case-control study consisted of 34 bipolar manic episode patients and 34 healthy controls. Disease activity was evaluated with the Hamilton Depression Rating Scale (HAM-D) and Young Mania Rating Scale (YMRS). Firstly, serum 25-hydroxy vitamin D (25-OHD), calcium (Ca) and phosphorus (P) levels of patients in the bipolar manic episode were measured and compared with healthy control. Secondly, serum 25-OHD, Ca and P levels in the euthymic periods of the same patients were measured and compared with healthy control.

RESULTS

Bipolar manic episode Vit D levels were lower when compared to healthy controls; while there was no difference in terms of Ca and P levels. There was no significant difference between the bipolar euthymic period patients and the healthy control group in terms of 25-OHD, Ca and P levels.

CONCLUSION

Our results demonstrated low serum Vit D concentrations in the acute manic episode of bipolar disorder. Decreased Vit D level may play a role in the onset of the manic episode, or malnutrition and insufficient sunlight during the manic episode may have caused Vit D deficiency. Future studies are needed to exclude potential confounding factors and to compare all mood episodes.

Antimanic Efficacy, Tolerability, and Acceptability of Clonazepam: A Systematic Review and Meta-Analysis

(1) Background: The use of benzodiazepines for the treatment of acute mania remains prevalent. This systematic review and meta-analysis provides an updated assessment of Clonazepam's antimanic efficacy, tolerability, and acceptability. (2) Methods: A systematic search of multiple databases and clinical trial registries was conducted, aiming to identify any controlled studies of Clonazepam vs. placebo or any other pharmacotherapy for the treatment of acute mania. Pairwise meta-analytic evaluations were performed. (3) Results: Six studies were included with a total number of 192 participants, all of which were randomized controlled trials. Clonazepam may be superior to a placebo in the acute phase of treatment and no different to Lithium and Haloperidol in terms of efficacy, both acutely and in the medium to long term. Clonazepam may be an acceptable and well-tolerated treatment for acute mania, especially when used as an augmentation strategy. Comparisons were underpowered, with minimal sample sizes and only one study per comparison in many cases, thus limiting the generalizability of our findings and hindering firm clinical conclusions. (4) Conclusions: Given the prevalence of benzodiazepine use in current practice, more and larger studies are urgently needed.

A systematic review of manic/hypomanic and depressive switches in patients with bipolar disorder in naturalistic settings: The role of antidepressant and antipsychotic drugs

The present systematic review was aimed at critically summarizing the evidence about treatment-emergent manic/hypomanic and depressive switches during the course of bipolar disorder (BD). A systematic search of the MEDLINE, EMBASE, CINAHL, Web of Science, and PsycInfo electronic databases was conducted until March 24th, 2021, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Observational studies clearly reporting data regarding the prevalence of treatment-emergent mood switches in patients with BD were considered for inclusion. Thirty-two original studies met the inclusion criteria. In the majority of cases, manic switches were analyzed; only 3 papers investigated depressive switches in type I BD. Treatment-emergent mania/hypomania in BD subjects ranged from 17.3% to 48.8% and was more frequent with antidepressant monotherapy compared to combination treatment with mood stabilizers, especially lithium, or second-generation antipsychotics. A higher likelihood of mood switch has been reported with tricyclics and a lower rate with bupropion. Depressive switches were detected in 5-16% of type I BD subjects and were associated with first-generation antipsychotic use, the concomitant use of first- and second-generation antipsychotics, and benzodiazepines. The included studies presented considerable methodological heterogeneity, small sample sizes and comparability flaws. In conclusion, many studies, although heterogeneous and partly discordant, have been conducted on manic/hypomanic switches, whereas depressive switches during treatment with antipsychotics are poorly investigated. In BD subjects, both antidepressant and antipsychotic medications seems to play a role in the occurrence of mood switches, although the effects of different pharmacological compounds have yet to be fully investigated.

Abnormal degree centrality can be a potential imaging biomarker in first-episode, drug-naive bipolar mania

Brain network abnormalities in emotional response exist in bipolar mania. However, few studies have been published on network degree centrality of first-episode, drug-naive bipolar mania, and healthy controls. This study aimed to assess the utility of neural activity values analyzed via degree centrality methods. Sixty-six first-episode, drug-naive patients with bipolar mania and 60 healthy controls participated in resting-state functional magnetic resonance rescanning and scale estimating. The degree centrality and receiver operating characteristic (ROC) curve methods were used for an analysis of the imaging data. Relative to healthy controls, first-episode bipolar mania patients displayed increased degree centrality values in the left middle occipital gyrus, precentral gyrus, supplementary motor area, Precuneus, and decreased degree centrality values in the left parahippocampal gyrus, right insula and superior frontal gyrus, medial. ROC results exhibited degree centrality values in the left parahippocampal gyrus that could distinguish first-episode bipolar mania patients from healthy controls with 0.8404 for AUC. Support vector machine results showed that reductions in degree centrality values in the left parahippocampal gyrus can be used to effectively differentiate between bipolar disorder patients and healthy controls with respective accuracy, sensitivity, and specificity values of 83.33%, 85.51%, and 88.41%. Increased activity in the left parahippocampal gyrus may be a distinctive neurobiological feature of first-episode, drug-naive bipolar mania. Degree centrality values in the left parahippocampal gyrus might be served as a potential neuroimaging biomarker to discriminate first-episode, drug-naive bipolar mania patients from healthy controls.

Bipolar I and bipolar II subtypes in older age: Results from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) project

OBJECTIVES

The distinction between bipolar I disorder (BD-I) and bipolar II disorder (BD-II) has been a topic of long-lasting debate. This study examined differences between BD-I and BD-II in a large, global sample of OABD, focusing on general functioning, cognition and somatic burden as these domains are often affected in OABD.

METHODS

Cross-sectional analyses were conducted with data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database. The sample included 963 participants aged ≥50 years (714 BD-I, 249 BD-II). Sociodemographic and clinical factors were compared between BD subtypes including adjustment for study cohort. Multivariable analyses were conducted with generalized linear mixed models (GLMMs) and estimated associations between BD subtype and (1) general functioning (GAF), (2) cognitive performance (g-score) and (3) somatic burden, with study cohort as random intercept.

RESULTS

After adjustment for study cohort, BD-II patients more often had a late onset ≥50 years (p = 0.008) and more current severe depression (p = 0.041). BD-I patients were more likely to have a history of psychiatric hospitalization (p < 0.001) and current use of anti-psychotics (p = 0.003). Multivariable analyses showed that BD subtype was not related to GAF, cognitive g-score or somatic burden.

CONCLUSION

BD-I and BD-II patients did not differ in terms of general functioning, cognitive impairment or somatic burden. Some clinical differences were observed between the groups, which could be the consequence of diagnostic definitions. The distinction between BD-I and BD-II is not the best way to subtype OABD patients. Future research should investigate other disease specifiers in this population.

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 impacts of anhedonia on brain functional alterations in patients with major depressive disorder: A resting-state functional magnetic resonance imaging study of regional homogeneity

BACKGROUND

Anhedonia, as one of the core manifestations of major depressive disorder (MDD), has an effect on prognosis of the disease. However, the neuropathology of MDD is complex and the neural basis of anhedonia remains unclear. The aim of the present study was to investigate the impacts of anhedonia on brain functional alterations in patients with MDD.

METHODS

A total of 62 individuals including MDD patients with anhedonia (n = 22), MDD patients without anhedonia (n = 20), and healthy controls (HCs, n = 20) were recruited. All participants underwent resting-state functional magnetic resonance imaging scanning and intrinsic brain function was explored by using regional homogeneity (ReHo) method. A two-sample t-test was performed to explore ReHo differences between MDD patients and HCs, then analysis of variance (ANOVA) was introduced to obtain brain regions with significant differences among three groups, and finally post hoc tests were calculated for inter-group comparisons. Correlations between ReHo values of each survived area and clinical characteristics in MDD patients were further analyzed.

RESULTS

Compared with HCs, MDD showed increased ReHo in the left superior temporal gyrus (STG) and bilateral inferior frontal gyrus (IFG), as well as decreased ReHo in the left superior frontal gyrus (SFG). Interestingly, this relationship was attenuated and no longer significant after consideration for the effect of anhedonia in MDD patients. MDD patients with anhedonia were more likely to exhibit decreased ReHo in the left SFG and left middle cingulate gyrus (MCG) when comparing to HCs. No significant difference was found between MDD patients without anhedonia and HCs, either the two groups of MDD patients. There was no significant association between ReHo values of each survived area and clinical characteristics in MDD patients.

CONCLUSIONS

The present results suggest that the impacts of anhedonia on brain functional alterations in MDD should be emphasized and disturbed intrinsic brain function in the frontal-limbic regions may be associated with anhedonia in MDD patients.

Clinical research diagnostic criteria for bipolar illness (CRDC-BP): rationale and validity

BACKGROUND

In the 1970 s, scientific research on psychiatric nosology was summarized in Research Diagnostic Criteria (RDC), based solely on empirical data, an important source for the third revision of the official nomenclature of the American Psychiatric Association in 1980, the Diagnostic and Statistical Manual, Third Edition (DSM-III). The intervening years, especially with the fourth edition in 1994, saw a shift to a more overtly "pragmatic" approach to diagnostic definitions, which were constructed for many purposes, with research evidence being only one consideration. The latest editions have been criticized as failing to be useful for research. Biological and clinical research rests on the validity of diagnostic definitions that are supported by firm empirical foundations, but critics note that DSM criteria have failed to prioritize research data in favor of "pragmatic" considerations.

RESULTS

Based on prior work of the International Society for Bipolar Diagnostic Guidelines Task Force, we propose here Clinical Research Diagnostic Criteria for Bipolar Illness (CRDC-BP) for use in research studies, with the hope that these criteria may lead to further refinement of diagnostic definitions for other major mental illnesses in the future. New proposals are provided for mixed states, mood temperaments, and duration of episodes.

CONCLUSIONS

A new CRDC could provide guidance toward an empirically-based, scientific psychiatric nosology, and provide an alternative clinical diagnostic approach to the DSM system.

Are personality disorders in bipolar patients more frequent in the US than Europe?

OBJECTIVE

Bipolar patients in the United States (US) compared to those from the Netherlands and Germany (here abbrev. as "Europe") have more Axis I comorbidities and more poor prognosis factors such as early onset and psychosocial adversity in childhood. We wished to examine whether these differences also extended to Axis II personality disorders (PDs).

METHODS

793 outpatients with bipolar disorder diagnosed by SCID gave informed consent for participating in a prospective longitudinal follow up study with clinician ratings at each visit. They completed detailed patient questionnaires and a 99 item personality disorder inventory (PDQ-4). US versus European differences in PDs were examined in univariate analyses and then logistic regressions, controlling for severity of depression, age, gender, and other poor prognosis factors.

RESULTS

In the univariate analysis, 7 PDs were more prevalent in the US than in Europe, including antisocial, avoidant, borderline, depressive, histrionic, obsessive compulsive, and schizoid PDs. In the multivariate analysis, the last 4 of these PDs remained independently greater in the US than Europe.

CONCLUSIONS

Although limited by use of self report and other potentially confounding factors, multiple PDs were more prevalent in the US than in Europe, but these preliminary findings need to be confirmed using other methodologies. Other poor prognosis factors are prevalent in the US, including early age of onset, more childhood adversity, anxiety and substance abuse comorbidity, and more episodes and rapid cycling. The interactions among these variables in relationship to the more adverse course of illness in the US than in Europe require further study.

Existing and emerging pharmacological approaches to the treatment of mania: A critical overview

Manic episodes are a defining, frequent and dramatically disabling occurrence in the course of Bipolar Disorder type I. Current pharmacotherapy of mania lists a good number of agents, but differences in efficacy and safety profiles among these agents must be considered in order to tailor personalized therapies, especially when the long-term course of the illness is considered. There is wide room and need to ameliorate current pharmacological approaches to mania, but ongoing pharmacological research on the topic is scant. In this work we try to critically assess clinical factors and patients' characteristics that may influence the treatment choice for manic episodes. In addition, we conduct a narrative review on experimental pharmacology of bipolar mania and psychotic disorders, presenting a critical overview on agents which could represent treatment alternatives for a manic episode in the next future. Results show limited novel or ongoing research on agents acting as mood stabilizers (Ebselen, Valnoctamide and Eslicarbazepine did not reach statistical significance in demonstrating antimanic efficacy). As for the emerging experimental antipsychotic, some of them (including KarXT, SEP-363856, RO6889450, ALKS3831) have demonstrated good antipsychotic efficacy and a favorable safety profile, but little is known about their use in patients with bipolar disorder and specifically designed trials are needed. Lastly, some benefits for the treatment of mania could be expected to come in the next future from non-mood stabilizers/non-antipsychotic agents (especially PKC inhibitors like Endoxifen): long-term trials are needed to confirm positive results in terms of long-term efficacy and safety.

Trends in big data analyses by multicenter collaborative translational research in psychiatry

The underlying pathologies of psychiatric disorders, which cause substantial personal and social losses, remain unknown, and their elucidation is an urgent issue. To clarify the core pathological mechanisms underlying psychiatric disorders, in addition to laboratory-based research that incorporates the latest findings, it is necessary to conduct large-sample-size research and verify reproducibility. For this purpose, it is critical to conduct multicenter collaborative research across various fields, such as psychiatry, neuroscience, molecular biology, genomics, neuroimaging, cognitive science, neurophysiology, psychology, and pharmacology. Moreover, collaborative research plays an important role in the development of young researchers. In this respect, the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium and Cognitive Genetics Collaborative Research Organization (COCORO) have played important roles. In this review, we first overview the importance of multicenter collaborative research and our target psychiatric disorders. Then, we introduce research findings on the pathophysiology of psychiatric disorders from neurocognitive, neurophysiological, neuroimaging, genetic, and basic neuroscience perspectives, focusing mainly on the findings obtained by COCORO. It is our hope that multicenter collaborative research will contribute to the elucidation of the pathological basis of psychiatric disorders.

Voice analyses using smartphone-based data in patients with bipolar disorder, unaffected relatives and healthy control individuals, and during different affective states

BACKGROUND

Voice features have been suggested as objective markers of bipolar disorder (BD).

AIMS

To investigate whether voice features from naturalistic phone calls could discriminate between (1) BD, unaffected first-degree relatives (UR) and healthy control individuals (HC); (2) affective states within BD.

METHODS

Voice features were collected daily during naturalistic phone calls for up to 972 days. A total of 121 patients with BD, 21 UR and 38 HC were included. A total of 107.033 voice data entries were collected [BD (n  = 78.733), UR (n  = 8004), and HC (n  =  20.296)]. Daily, patients evaluated symptoms using a smartphone-based system. Affective states were defined according to these evaluations. Data were analyzed using random forest machine learning algorithms.

RESULTS

Compared to HC, BD was classified with a sensitivity of 0.79 (SD 0.11)/AUC  = 0.76 (SD 0.11) and UR with a sensitivity of 0.53 (SD 0.21)/AUC of 0.72 (SD 0.12). Within BD, compared to euthymia, mania was classified with a specificity of 0.75 (SD 0.16)/AUC  =  0.66 (SD 0.11). Compared to euthymia, depression was classified with a specificity of 0.70 (SD 0.16)/AUC  =  0.66 (SD 0.12). In all models the user dependent models outperformed the user independent models. Models combining increased mood, increased activity and insomnia compared to periods without performed best with a specificity of 0.78 (SD 0.16)/AUC  =  0.67 (SD 0.11).

CONCLUSIONS

Voice features from naturalistic phone calls may represent a supplementary objective marker discriminating BD from HC and a state marker within BD.

Ten-year course of treated bipolar I disorder: The role of polarity at onset

INTRODUCTION

Early-stage predictors of illness course are needed in bipolar disorder (BD). Differences among patients with a first depressive versus maniac/hypomanic episode have been stated, although in most studies, memory bias and time from onset to start of specialized treatment might interfere. The aim was to compare the first 10 years of illness course according to polarity at onset.

METHODS

49 type I BD patients admitted for treatment for a first-time affective episode and a following 10-year attendance to the institution were included. A retrospective year by year comparison according to polarity at onset (depressive (DPO) or maniac (MPO)) was performed. Cramer's V and Cohen d were computed to determine effect size.

RESULTS

59.2% (n = 29) started with MPO. Both groups were similar in demographic and social outcome characteristics, clinical features, and treatment variables. Patients with DPO reported more depressive episodes than MPO patients (U = 149.0 p < .001, Cohen's d = 0.87); both groups had a similar number of manic episodes. Only during the first year of follow-up, suicide attempts (SA) were more frequent in patients with DPO while the presence of a psychotic episode and psychiatric hospitalizations were more frequent in the MPO group.

CONCLUSION

According to these findings, it can be concluded that illness onset is only indicative of depressive predominant polarity but is not related to other poor prognostic variables after the first year of illness onset, in treated BD. SA in the first year of an affective disorder could represent a marker of BD.

Illness stage and predominant polarity in bipolar disorder: Correlation with burden of illness and moderation of treatment outcome

Bipolar disorder often follows a set progression best described in stages where advanced stages are associated with poorer outcomes. Bipolar disorder is also often characterized by a predominance of episode polarity, where some individuals experience more depressive episodes (termed predominant depressive polarity) while others experience more hypo/manic episodes (termed predominant hypo/manic polarity). We examined the associations between staging and predominant polarity with measures of illness burden and treatment outcome utilizing data from a six-month comparative effectiveness trial of lithium and quetiapine in bipolar disorder (Bipolar CHOICE). We used number of self-reported lifetime mood (depressive and hypo/manic) episodes as a proxy for staging and ratio of depressive to manic episodes to define predominant polarity. Polarity and staging were correlated with several measures of burden of illness. Childhood abuse was correlated with more lifetime mood episodes, while more depressive episodes and depressive polarity were correlated with more anxiety disorder comorbidity. Depressive polarity was also correlated with more past trials of psychotropics, particularly antidepressants. However, neither staging nor predominant polarity moderated the randomized treatment effect of lithium vs. quetiapine. Number of depressive episodes in the past year was identified as a potential predictor of overall worse treatment outcome, regardless of medication condition. In conclusion, though staging and predominant episode polarity correlated with several measures of illness burden, they were not associated with differential treatment outcomes. This could be because many of our patients presented for treatment at advanced stages of illness and further highlights the need for early intervention in bipolar disorder.