Mindfulness trait and the potential mediating role of emotional regulation strategies in bipolar disorder / Mindfulness rasgo y el potencial papel mediador de las estrategias de regulación emocional en el trastorno bipolar

En este estudio transversal se investiga la asociación entre los principales síntomas del Trastorno bipolar (TB) y las dificultades asociadas a las estrategias de regulación emocional (ERE) adaptativas y desadaptativas. Además, este estudio examina los efectos mediadores de las ERE con el mindfulness rasgo y el TB. Método. Veinticuatro adultos con TB completaron la Escala de Conciencia de Atención Plena (MAAS), el Inventario de Depresión de Beck (BDI-II), la Escala de Autoevaluación de Manía de Altman (ARSM), el Inventario de Ansiedad Rasgo (STAI-R), y el Cuestionario de Regulación Emocional Cognitiva (CERQ). Resultados. El análisis de regresión múltiple mostró cómo la depresión se relacionaba significativa y positivamente con la autoculpabilización, mientras que la ansiedad rasgo estaba positivamente asociada con la autoculpabilización y el catastrofismo. En segundo lugar, el análisis de mediación mostró un efecto de mediación significativo para la autoculpabilidad en la relación entre mindfulness y depresión (a*b = -.15; ICB 95% [-.36, -.03]) y entre mindfulness y ansiedad rasgo (a*b = -.09; ICB 95% [-.27, -.01]). Conclusiones. Nuestros resultados informan del papel de la auto-culpabilidad y el catastrofismo en el TB y de cómo éstas podrían mediar significativamente entre el mindfulness rasgo y el TB. Estos resultados sugieren que una práctica de meditación enfocada en el catastrofismo y la autoculpabilidad puede ser especialmente útil para reducir los síntomas en los pacientes bipolares.(AU)

This cross-sectional study investigates the association between the main symptoms of Bipolar disorder (BD) and emotional regulation dif-ficulties in adaptive and maladaptive emotional regulation strategies (ERS). In addition, this study examines the possible mediating effects of ERS with dispositional mindfulnessand bipolar symptoms. Method.Twenty-four adults diagnosed with BD completed the Mindful Attention Awareness Scale (MAAS), the Beck Depression Inventory (BDI-II), the Altman Mania Self-Assessment Scale (ARSM), the Trait Anxiety Inventory (STAI-R), and the Cognitive Emotional Regulation Questionnaire (CERQ). Results. First, mul-tiple regression analysis showed how depression was significantly positively related to self-blame, whereas trait anxietywas positively associated with self-blame and catastrophizing. Second, the results of the mediation analy-sis have shown a significant mediation effect for the self-blamein the rela-tionship between mindfulnessand depression (a*b = -.15; BCI 95% [-.36, -.03]) and between mindfulnessand trait anxiety (a*b = -.09; BCI 95% [-.27, -.01]). Conclusions. Our results report the role of self-blame and catastrophiz-ing in BD and how these might significantly mediate between dispositional mindfulness and symptoms of depression and anxiety. These results suggest that a meditation practice focused on reducing catastrophizing and self-blame may be especially helpful for symptoms of depression and anxiety in bipolar patients.(AU)

Simultaneous Utilization of Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale for Machine Learning-Based Classification of Patients With Bipolar Disorders and Depressive Disorders.

OBJECTIVE: Bipolar and depressive disorders are distinct disorders with clearly different clinical courses, however, distinguishing between them often presents clinical challenges. This study investigates the utility of self-report questionnaires, the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS), with machine learning-based multivariate analysis, to classify patients with bipolar and depressive disorders. METHODS: A total of 189 patients with bipolar disorders and depressive disorders were included in the study, and all participants completed both the MDQ and BSDS questionnaires. Machine-learning classifiers, including support vector machine (SVM) and linear discriminant analysis (LDA), were exploited for multivariate analysis. Classification performance was assessed through cross-validation. RESULTS: Both MDQ and BSDS demonstrated significant differences in each item and total scores between the two groups. Machine learning-based multivariate analysis, including SVM, achieved excellent discrimination levels with area under the ROC curve (AUC) values exceeding 0.8 for each questionnaire individually. In particular, the combination of MDQ and BSDS further improved classification performance, yielding an AUC of 0.8762. CONCLUSION: This study suggests the application of machine learning to MDQ and BSDS can assist in distinguishing between bipolar and depressive disorders. The potential of combining high-dimensional psychiatric data with machine learning-based multivariate analysis as an effective approach to psychiatric disorders.

Identifying digital biomarkers of illness activity and treatment response in bipolar disorder with a novel wearable device (TIMEBASE): protocol for a pragmatic observational clinical study.

BACKGROUND: Bipolar disorder is highly prevalent and consists of biphasic recurrent mood episodes of mania and depression, which translate into altered mood, sleep and activity alongside their physiological expressions. AIMS: The IdenTifying dIgital bioMarkers of illnEss activity and treatment response in BipolAr diSordEr with a novel wearable device (TIMEBASE) project aims to identify digital biomarkers of illness activity and treatment response in bipolar disorder. METHOD: We designed a longitudinal observational study including 84 individuals. Group A comprises people with acute episode of mania (n = 12), depression (n = 12 with bipolar disorder and n = 12 with major depressive disorder (MDD)) and bipolar disorder with mixed features (n = 12). Physiological data will be recorded during 48 h with a research-grade wearable (Empatica E4) across four consecutive time points (acute, response, remission and episode recovery). Group B comprises 12 people with euthymic bipolar disorder and 12 with MDD, and group C comprises 12 healthy controls who will be recorded cross-sectionally. Psychopathological symptoms, disease severity, functioning and physical activity will be assessed with standardised psychometric scales. Physiological data will include acceleration, temperature, blood volume pulse, heart rate and electrodermal activity. Machine learning models will be developed to link physiological data to illness activity and treatment response. Generalisation performance will be tested in data from unseen patients. RESULTS: Recruitment is ongoing. CONCLUSIONS: This project should contribute to understanding the pathophysiology of affective disorders. The potential digital biomarkers of illness activity and treatment response in bipolar disorder could be implemented in a real-world clinical setting for clinical monitoring and identification of prodromal symptoms. This would allow early intervention and prevention of affective relapses, as well as personalisation of treatment.

Illness and narrative identity: examining past and future life story chapters in individuals with bipolar disorder, diabetes mellitus or no chronic illness.

The purpose of this study was to investigate whether narrative identity challenges are specific to Bipolar Disorder (BD) as a mental illness or a reflection of living with chronic illness. Nineteen individuals diagnosed with BD, 29 individuals diagnosed with Type 1 Diabetes Mellitus (T1DM) and 25 controls without chronic mental or somatic illness identified past and future life story chapters which were self-rated on emotional tone and self-event connections and content-coded for agency and communion themes. Individuals with BD self-rated their past chapters as more negative and less positive, and their chapters were lower on content-coded agency and communion themes compared to T1DM and controls. There were fewer group differences for future chapters, but BD was associated with lower self-rated positive emotional tone and self-stability connections as well as lower content-coded agency and communion themes. The results indicate that narrative identity is affected in individuals with BD above and beyond the consequences of living with chronic illness. This may reflect distinct effects of mental versus somatic illness on narrative identity.

Neuroretinal Alterations in Schizophrenia and Bipolar Disorder: An Updated Meta-analysis.

Schizophrenia (SZ) and bipolar disorder (BD) are characterized by major symptomatic, cognitive, and neuroanatomical changes. Recent studies have used optical coherence tomography (OCT) to investigate retinal changes in SZ and BD, but their unique and shared changes require further evaluation. Articles were identified using PubMed and Google Scholar. 39 studies met the inclusion criteria. Diagnostic groups were proband (SZ/BD combined), SZ, BD, and healthy control (HC) eyes. Meta-analyses utilized fixed and random effects models when appropriate, and publication bias was corrected using trim-and-fill analysis ("meta" package in R). Results are reported as standardized mean differences with 95% CIs. Data from 3145 patient eyes (1956 SZ, 1189 BD) and 3135 HC eyes were included. Studies identified thinning of the peripapillary retinal nerve fiber layer (pRNFL, overall and in 2 subregions), m-Retina (overall and all subregions), mGCL-IPL, mIPL, and mRPE in SZ patients. BD showed thinning of the pRNFL (overall and in each subregion), pGCC, and macular Retina (in 5 subregions), but no changes in thickness or volume for the total retina. Neither SZ nor BD patients demonstrated significant changes in the fovea, mRNFL, mGCL, mGCC, mINL, mOPL, mONL, or choroid thicknesses. Moderating effects of age, illness duration, and smoking on retinal structures were identified. This meta-analysis builds upon previous literature in this field by incorporating recent OCT studies and examining both peripapillary and macular retinal regions with respect to psychotic disorders. Overall, this meta-analysis demonstrated both peripapillary and macular structural retinal abnormalities in people with SZ or BD compared with HCs.

Face-brain correlates as potential sex-specific biomarkers for schizophrenia and bipolar disorder.

Given the shared ectodermal origin and integrated development of the face and the brain, facial biomarkers emerge as potential candidates to assess vulnerability for disorders in which neurodevelopment is compromised, such as schizophrenia (SZ) and bipolar disorder (BD). The sample comprised 188 individuals (67 SZ patients, 46 BD patients and 75 healthy controls (HC)). Using a landmark-based approach on 3D facial reconstructions, we quantified global and local facial shape differences between SZ/BD patients and HC using geometric morphometrics. We also assessed correlations between facial and brain cortical measures. All analyses were performed separately by sex. Diagnosis explained 4.1 % - 5.9 % of global facial shape variance in males and females with SZ, and 4.5 % - 4.1 % in BD. Regarding local facial shape, we detected 43.2 % of significantly different distances in males and 47.4 % in females with SZ as compared to HC, whereas in BD the percentages decreased to 35.8 % and 26.8 %, respectively. We detected that brain area and volume significantly explained 2.2 % and 2 % of facial shape variance in the male SZ - HC sample. Our results support facial shape as a neurodevelopmental marker for SZ and BD and reveal sex-specific pathophysiological mechanisms modulating the interplay between the brain and the face.

Effect of prior depression diagnosis on bipolar disorder outcomes: A retrospective cohort study using a medical claims database.

BACKGROUND: Bipolar disorder often emerges from depressive episodes and is initially diagnosed as depression. This study aimed to explore the effects of a prior depression diagnosis on outcomes in patients diagnosed with bipolar disorder. METHODS: This cohort study analyzed data of patients aged 18-64 years who received a new bipolar disorder diagnosis in Japan, using medical claims data from January 2005 to October 2020 provided by JMDC, Inc. The index month was defined as the time of the bipolar diagnosis. The study assessed the incidence of psychiatric hospitalization, all-cause hospitalization, and mortality, stratified by the presence of a preceding depression diagnosis and its duration (≥1 or <1 year). Hazard ratios (HRs) and p-values were estimated using Cox proportional hazards models, adjusted for potential confounders, and supported by log-rank tests. RESULTS: Of the 5595 patients analyzed, 2460 had a history of depression, with 1049 experiencing it for over a year and 1411 for less than a year. HRs for psychiatric hospitalization, all hospitalizations, and death in patients with a history of depression versus those without were 0.92 (95% CI = 0.78-1.08, p = 0.30), 0.87 (95% CI = 0.78-0.98, p = 0.017), and 0.61 (95% CI = 0.33-1.12, p = 0.11), respectively. In patients with preceding depression ≥1 year versus <1 year, HRs were 0.89 (95% CI = 0.67-1.19, p = 0.43) for psychiatric hospitalization, 0.85 (95% CI = 0.71-1.00, p = 0.052) for all hospitalizations, and 0.25 (95% CI = 0.07-0.89, p = 0.03) for death. CONCLUSION: A prior history and duration of depression may not elevate psychiatric hospitalization risk after bipolar disorder diagnosis and might even correlate with reduced hospitalization and mortality rates.

The Relationship between SNAP25 and Some Common Human Neurological Syndromes.

Over the years, research on the pathogenesis of neurological diseases has progressed slowly worldwide. However, as the incidence rate continues to increase and the disease gradually develops, early diagnosis and treatment have become a top priority. SANP25, a protein present on the presynaptic membrane and involved in neurotransmitter release, is closely related to the loss or abnormal expression of synapses and neurons. SNAP25 deficiency can lead to synaptic disorders and inhibit neurotransmitter release. Therefore, a large amount of literature believes that SNAP25 gene mutation is a risk factor for many neurological diseases. This review used advanced search on PubMed to conduct extensive article searches for relevant literature. The search keywords included SNAP25 and Alzheimer's disease, SNAP25 and Parkinson's disease, and so on. After reading and summarizing the previous papers, the corresponding conclusions were obtained to achieve the purpose of the review. The deficiency or variation of SNAP25 might be related to the onset of schizophrenia, epilepsy, attention deficit/hypoactivity disorder, bipolar disorder effective disorder, and autism. SNAP25 has been found to be used as a neuropathological marker for neurological diseases, which could be the target of diagnosis or treatment of Alzheimer's disease and Parkinson's disease. Cerebrospinal Fluid (CSF) or blood has been found to enable more effective drug development.

The longitudinal course of psychological distress and resilience in patients with serious mental illnesses during the first two years of the Covid-19 pandemic.

The positive effects of resilience on psychological distress has been found in previous studies in samples not including the seriously mentally ill. The present study aimed to investigate the course of psychological distress and resilience in the first two years of the Covid-19 pandemic in patients with severe mental illness (SMI) and major depressive disorder without psychotic features (MDD) compared to healthy control subjects. 141 patients with SMI or MDD who had been admitted to a psychiatric ward in Tyrol (Austria) or South Tyrol (Italy) in 2019 and 584 community controls participated in a longitudinal online survey. Next to collecting sociodemographic data, psychological distress was evaluated using the Brief Symptom Checklist (BSCL) and resilience by the 13-Item Resilience Scale (RS-13). Psychological distress was consistently significantly higher while resilience was consistently significantly lower among both patient groups compared to healthy controls. In the patient samples, those with MDD consistently exhibited a significantly higher prevalence and level of psychological distress and significantly lower resilience. Resilience had a moderating effect on psychological distress especially in the MDD group. Our results suggest that MDD patients represent a particularly vulnerable group and findings imply that these patients would profit the most from trainings fostering resilience.

Elevated Cortisol Levels and Manic Symptoms in a 16-Year-Old Female: A Case Report.

This case report presents the clinical presentation, diagnosis, and management of a 16-year-old female with elevated cortisol levels who was diagnosed with mania. The patient exhibited symptoms consistent with a manic episode, including extreme euphoria, decreased need for sleep, impulsivity, and heightened irritability. Laboratory investigations revealed an elevated morning cortisol level, prompting further psychiatric evaluation. A diagnosis of bipolar I disorder, manic episode, was made based on established criteria. The patient was initiated on mood stabilizers and antipsychotic medications alongside psychoeducation for the patient and her family. This case underscores the potential association between cortisol dysregulation and mood disorders, highlighting the importance of comprehensive assessment and personalized treatment approaches in adolescents with bipolar disorder. Further research is needed to elucidate the underlying mechanisms linking cortisol dysregulation and mood disturbances and explore novel therapeutic interventions targeting hypothalamic-pituitary-adrenal axis dysfunction.

The Epidemiological, Clinical, and Therapeutic Profile of Bipolar Patients in Eastern Morocco.

INTRODUCTION:  Bipolar disorder is a severe psychiatric disorder. The objective of our study is to describe the epidemiological, clinical, and therapeutic profile of patients followed for bipolar disorder in this hospital. MATERIALS AND METHODS: This is a cross-sectional, descriptive study conducted over a period of two years within the mental health and psychiatric diseases department of the Mohammed VI University Hospital in Oujda, Morocco, including 206 patients followed for bipolar disorder on an outpatient basis or hospitalized in one of the departments of the hospital. RESULTS: We included in our study 206 patients with an average age of 37.34+/-12.53 and a male predominance. About 17% of our patients reported a personal medical history and 18.4%, a personal surgical history. Regarding the family history, 40.3% have a medical and surgical history and 63.1%, a psychiatric family history. The consumption of psychoactive substances is present in 49.5% of our patients. About 26.7% reported psychological trauma during childhood. Our patients have reported a history of suicide attempts with a prevalence of 26.6% in several settings: depressive (15%), delusional (5.8%), hallucinatory (3.9%), and anxious (1.9%). Several means were used during these suicide attempts, in particular, defenestration (40%), drug ingestion (36.4%), caustic ingestion (16.4%), strangulation (16.4%), and hanging (10.9%). CONCLUSION:  It is important to develop a personalized approach to the patient wherever possible and, if necessary, to involve other specialists in diagnosis and treatment.

Addressing Psychosocial Disabilities Through Social Interventions for Individuals With Severe Mental Disorders.

Mental disorders are prevalent worldwide, often causing significant distress and impairment across various life domains. Furthermore, they may lead to psychosocial disabilities exacerbated by stigma, discrimination, and social exclusion that hinder full societal participation and frequently result in human rights violations denying access to education, work, high-quality health, and reproductive rights. Therefore, a comprehensive and coordinated response to mental health requires a biopsychosocial approach and the integration of holistic promotion, prevention, support, care, and rehabilitation. Effective interventions need to be recovery-focused and should include social interventions. This editorial discusses the social interventions that can be utilized to address psychosocial disabilities in individuals with severe mental disorders. There is a need for developing innovative strategies, tools, and digital solutions, the provision of psychoeducation and caregiver support, along with conducting recovery-oriented research and provider training. Furthermore, the focus should be more on strengths instead of pathology and on cultivating a mental health-promoting environment. This requires inclusive policies, increased advocacy to decrease stigma and promote human rights, redirecting funds to community-based services from long-stay mental hospitals, and a multisectoral collaboration between different sectors such as employment, education, health, housing, social, and judicial sectors to provide support across different life stages, facilitate access to human rights, and attain equal opportunities to help individuals with severe mental disorders reach their full potential and live a meaningful life.

Amygdala and hippocampal substructure volumes and their association with improvement in mood symptoms in patients with mood disorders undergoing electroconvulsive therapy.

Electroconvulsive therapy (ECT) demonstrates favorable outcomes in the management of severe depressive disorders. ECT has been consistently associated with volumetric increases in the amygdala and hippocampus. However, the underlying mechanisms of these structural changes and their association to clinical improvement remains unclear. In this cross-sectional structural MRI study, we assessed the difference in amygdala subnuclei and hippocampus subfields in n = 37 patients with either unipolar or bipolar disorder immediately after eighth ECT sessions compared to (n = 40) demographically matched patients in partial remission who did not receive ECT (NoECT group). Relative to NoECT, the ECT group showed significantly larger bilateral amygdala volumes post-treatment, with the effect originating from the lateral, basal, and paralaminar nuclei and the left corticoamydaloid transition area. No significant group differences were observed for the hippocampal or cortical volumes. ECT was associated with a significant decrease in depressive symptoms. However, there were no significant correlations between amygdala subnuclei volumes and symptom improvement. Our study corroborates previous reports on increased amygdalae volumes following ECT and further identifies the subnuclei driving this effect. However, the therapeutic effect of ECT does not seem to be directly related to structural changes in the amygdala.

Prevalence and factors associated with fatigue in patients with major depressive disorder or bipolar disorder.

AIMS: To study the prevalence of fatigue and factors associated with fatigue in patients with major depressive disorder (MDD) or bipolar disorder (BD). METHODS: Two hundred fifty-three outpatients with MDD or BD at the initial assessment were used to study the prevalence of fatigue and relationship between fatigue and other clinical correlates. The severity of fatigue was measured with Iowa Fatigue Scale (IFS), and depression and anxiety symptom-severity were measured with the QIDS-16-SR (the 16-item Quick Inventory of Depressive Symptomatology - Self-Report) and Zung-SAS (Zung Self-Rating Anxiety Scale). Correlation between IFS and QIDS-16-SR total scores, QIDS-16-SR item scores or Zung-SAS total scores, and independent factors associated with fatigue was assessed with simple or multiple linear regression analysis. RESULTS: Overall, 28.4 % of MDD and 29.8 % of BD patients did not have fatigue, but 41.2 % of MDD and 45.0 % of BD patients had fatigue, and 30.4 % of MDD and 25.2 % of BD patients had severe fatigue. Depression/anxiety severity was significantly correlated with fatigue. However, after controlling current psychiatric comorbidities, demographics, some social factors, and psychotropic use, only QIDS-16-SR scores were still significantly and positively correlated with IFS scores in both MDD and BD. Differential correlations between IFS scores and item scores of QIDS-16-SR in MDD and BD were observed. LIMITATION: Cross-sectional. CONCLUSIONS: In this outpatient sample, fatigue was highly prevalent in patients with MDD or BD. The independent association of depressive severity with the severity of fatigue highlights the importance of complete resolution of depressive symptoms in treating MDD and BD.

The role of oxidative stress in the pathomechanism of major mood disorders: a narrative review with a special focus on uric acid.

Major mood disorder (i.e. major depressive disorder [MDD] and bipolar disorders [BPDs]) are among the most prevalent and disabling mental illnesses. Several, frequently intertwining theories (such as the monoamine, neuroinflammatory and neurotrophic theories) exist to explain the etiopathogenic background of mood disorders. A lesser-known hypothesis addresses the role of oxidative stress (OS; i.e. the overproduction and accumulation of free radicals) in the pathogenesis of these mental disorders. Free radicals are capable of damaging phospholipids, polyunsaturated fatty acids, proteins and nucleic acids. In the brain, OS impairs inter alia synaptic signalling and neuroplasticity. In the current paper, in addition to a brief description of the aforementioned pathophysiological processes involved in mood disorders (with a special focus on OS), we discuss in detail the results of studies on changes in non-enzymatic antioxidant uric acid (UA) levels in major mood disorders. Findings to date indicate that UA - a routinely measured laboratory parameter - may be a candidate biomarker to distinguish between MDD and BPD. Since the diagnostic criteria are identical for major depressive episodes regardless of whether the episode occurs in the context of MDD or BPD and also bearing in mind that the treatment for those two disorders is different, we may conclude that the identification of biomarkers to enable MDD to be distinguished from BPD would be of great clinical relevance.