Bipolar Disorder Patients Research Articles

The shape of the corpus callosum is different in bipolar disorder.

Bipolar disorder (BD) is a recurrent chronic disorder characterised by fluctuations in mood and energy disposition. Diseases could lead to degenerative alterations in brain structures such as corpus callosum (CC). Studies demonstrated that abnormalities in CC are associated with BD symptoms. The present study aims to analyse the CC of the patients with statistical shape analysis (SSA) and compare the findings with healthy controls. Forty-one BD patients and 41 healthy individuals in similar age groups, which included 23 female and 18 male subjects, participated in the study. CC was marked with landmarks on the mid-sagittal images of each individual. The mean 'Procrustes' point was calculated, and shape deformations were analysed with thin-plate spline analysis. Significant differences were observed in the shape of CC between the two groups, where maximum CC deformation was observed in posterior region marks in BD patients. There was no significant difference between the CC area of the BD patients and controls. CC analysis conducted with SSA revealed significant differences between patients and healthy controls. The study findings emphasised the abnormal distribution of white matter in CC and the variable subregional nature of CC in BD patients. This study may enable the development of more targeted and effective treatment strategies by taking into account biological factors and understanding the differences in the brain regions of individuals with BD.

A transdiagnostic approach of negative symptoms in psychiatric disorders: replication of a two-factor structure in major depressive disorder and bipolar disorder.

Recent empirical findings suggest that negative symptoms are not limited to schizophrenia (SCZ) but also present in major depressive disorder (MDD) and bipolar disorder (BD) patients. Although SCZ patients generally showed a latent structure comprising the motivation and pleasure (MAP) and expression (EXP) factors, it remains unclear whether the same latent structure exists in MDD and BD patients. We administered the Clinical Assessment Interview for Negative Symptoms (CAINS) and the Brief Negative Symptom Scale (BNSS) to 179 MDD patients and 152 BD patients. Confirmatory Factor Analysis (CFA) was conducted to examine the one-factor model, the two-factor model of the MAP and the EXP domain, the five-factor model of anhedonia, avolition, asociality, alogia, and blunted affect, and the hierarchical model comprising the first-order five-factor, and the second-order two-factor (MAP and EXP factors). We further examined the correlations between demographics and the negative symptom dimensions found in the best factor model. The CFA showed that, when the CAINS and the BNSS were combined together, the two-factor model of MAP and EXP provided the best model fit than other competing models, in the MDD alone sample, BD alone sample, and the combined clinical sample. The two-factor model of the MAP and EXP appears to be a stable, transdiagnostic latent structure of negative symptoms across BD and MDD. Clarifying negative symptoms in MDD and BD can facilitate future research on the underlying neural mechanisms of the MAP and EXP dimensions.

Risk of subsequent Parkinson's disease among patients with bipolar disorder or major depression: A nationwide longitudinal study in Taiwan.

Bipolar disorder (BD) and major depression have been associated with an increased risk of developing Parkinson's disease (PD); however, few studies have directly compared the risk of PD development between patients with BD and major depression while considering relevant risk factors and psychotropic medications. Using the Taiwan National Health Insurance Research Database, 21,186 patients with BD, 21,188 patients with major depression, and 42,374 controls were enrolled between 2001 and 2009, and followed until the end of 2011. Individuals who developed PD during the follow-up period were identified. Cox regression models were used to analyze the hazard ratio (HR) of developing PD, adjusting for demographic factors, comorbidities, and psychotropic medication usage. Both patients with BD [HR 8.63, 95% confidence interval (CI) 6.35-11.72] and those with major depression (HR 5.68, 95% CI 4.15-7.78) had an elevated risk of subsequent PD compared to the controls. Patients with BD were associated with a 51% increased risk of subsequent PD compared with patients with major depression. Long-term treatment with antiepileptic mood stabilizers was associated with increased PD risk among patients with late-onset BD and high Charlson comorbidity index scores. Lithium was not associated with an increased PD risk. The study highlights an elevated PD risk in patients with BD and major depression compared to the controls, with BD patients at highest risk. Further research is needed to elucidate the complex interplay between psychotropic medications and neurodegenerative processes in BD, aiming to optimize therapeutic strategies and improve patient outcomes.

Impairments in facial expression recognition in patients with euthymic bipolar disorders using the facial emotions recognition test

BackgroundPatients with bipolar disorders (BD) have significant impairments in Facial Expression Recognition (FER), an essential social skill for effective social interactions. While the Facial Emotions Recognition Test, 54 photographs by Gaudelus (TREF-54g) has been used in patients with schizophrenia, no study has evaluated FER using this test in BD patients. The TREF-54g meets the International Society for Bipolar Disorders (ISBD) criteria for assessing FER. The objective of this study was to compare FER in patients with euthymic BD versus healthy controls (HC) using the TREF-54g. MethodsThis study included 60 patients with BD diagnosed according to DSM-5 criteria, 30 with bipolar I disorder (BDI) and 30 with bipolar II disorder (BDII) and 60 HC. All groups were matched for age, gender, and years of education. Overall TREF-54g impairment score was defined as a difference of two SD from the group of HC with mean overall accuracy score expressed as a percentage of correct responses. ResultsOverall TREF-54g impairment scores, as well as sub-scores for anger and contempt recognition, were significantly higher in patients with BD versus those in HC. No significant differences in TREF-54g scores were shown between patients with BDI and those with BDII. LimitationsClinical assessments of this study didn't include neurocognition assessments and classification of contempt emotion as a basic emotion remains controversial. ConclusionsWe found significant impairments in FER in patients with euthymic BD, particularly for anger and contempt using the TREF-54g a test that meets ISBD recommendation criteria.

Alterations of subcortical structure volume in pediatric bipolar disorder patients with manic or depressive first-episode

BackgroundBipolar disorder may begin as depression or mania, which can affect the treatment and prognosis. The physiological and pathological differences among pediatric bipolar disorder (PBD) patients with different onset symptoms are not clear. The aims of the present study were to investigate subcortical structural alterations in PBD patients with first-episode depressive (PBD-FED) and first-episode manic (PBD-FEM).MethodsA total of 59 individuals including 28 PBD-FED, 13 PBD-FEM, and 18 healthy controls (HCs) underwent high-resolution structural magnetic resonance scans. FreeSurfer 7.2 was used to detect changes in subcortical volumes. Simultaneously, thalamic, hippocampal, and amygdala subregion volumes were compared between the three groups.ResultsAnalysis of covariance controlling for age, sex, education, and estimated intracranial volume shows third and fourth ventricle enlargement in patients with PBD. Compared with the PBD-FED and HCs, the PBD-FEM group had reduced gray matter volume in the left thalamus, bilateral hippocampus, and right amygdala. Subsequent subregion analyses showed right cortico-amygdaloid transient, bilateral accessory-basal nucleus, left hippocampal tail, right hippocampal head, and body volume reduction in the PBD-FEM group.ConclusionsThe present findings provided evidence of decreased subcortical structure in PBD-FEM patients, which might present its trait feature.

Association between olfactory function and metabolic syndrome in bipolar disorder patients: a cross-sectional study

BackgroundOlfactory function is closely related to mood and the endocrine system. However, the role of olfactory function in bipolar disorder combined with metabolic syndrome remains unclear. The purpose of this study was to explore the associations among olfactory function, tumor necrosis factor alpha (TNF-α), and metabolic syndrome and its components in patients with bipolar disorder.MethodsNinety-six bipolar disorder patients were divided into two groups with and without metabolic syndrome. We also included 46 healthy controls. Olfactory function was assessed using the Sniffin’ Sticks test. Blood samples were collected to measure metabolic indicators and serum TNF-α levels.ResultsSignificant differences in olfactory function were found among the three groups. Compared with the healthy controls, the bipolar disorder without metabolic syndrome group showed poorer olfactory identification ability (P < 0.001) and the bipolar disorder with metabolic syndrome group showed impaired olfactory sensitivity (P = 0.003) and olfactory identification (P < 0.001). Moreover, the bipolar disorder with metabolic syndrome group had poorer olfactory identification ability than the bipolar disorder without metabolic syndrome group (P = 0.015). Both bipolar disorder groups showed lower TNF-α levels than healthy controls. However, there was no significant difference between the two patient groups. Correlation analysis showed that, in the bipolar disorder with metabolic syndrome group, olfactory identification was negatively correlated with systolic blood pressure (r = − 0.424, P = 0.031), and serum TNF-α level was negatively correlated with body mass index (BMI; r = − 0.398, P = 0.049), triglyceride (r = − 0.503, P = 0.010), total cholesterol (r = − 0.491, P = 0.013), low-density lipoprotein-cholesterol (r = − 0.491, P = 0.013), and high-density lipoprotein-cholesterol (r = − 0.454, P = 0.023).ConclusionsThe olfactory identification ability of patients with bipolar disorder is worse than that of healthy controls, and the occurrence of metabolic syndrome will further aggravate the olfactory identification impairment of those patients. Furthermore, there may be a stronger link between serum TNF-α level and multiple metabolic indicators in bipolar disorder patients with metabolic syndrome than in bipolar disorder patients without metabolic syndrome.

Extended-Release Lithium Treatment for Adolescents with Bipolar Disorder with or Without Comorbid Autism Spectrum Disorder: Protocol of a Longitudinal Prospective Naturalistic Study for the Assessment of Efficacy and Tolerability.

Background: Lithium is the gold-standard treatment for Bipolar Disorder (BD) in both adults and adolescents, effectively managing mood episodes and reducing suicide risk. While its efficacy in neurotypical youth is well established, its use in adolescents with Autism Spectrum Disorder (ASD) and comorbid BD remains under-researched. Here, we present the protocol for a study aiming to evaluate the efficacy and tolerability of Extended-Release Lithium Salts in treating adolescents with BD and comorbid ASD compared to neurotypical BD patients. Methods: This longitudinal prospective naturalistic comparative study will enroll lithium-naïve adolescents aged 12-18 with BD, with or without comorbid ASD, from the Department of Child and Adolescent Psychiatry and Psychopharmacology. Participants will be followed for six months while receiving Extended-Release Lithium Salts treatment. Primary outcomes will include mood instability, suicidality, emotional dysregulation, and aggression, assessed through a range of clinical rating scales and diagnostic tools at baseline, three months, and six months. Secondary outcomes will focus on the safety and tolerability of Extended-Release Lithium Salts, with measures including side effect ratings, physical exams, and laboratory tests. Results: We hypothesize that Extended-Release Lithium Salts will demonstrate non-inferiority in treating BD symptoms in adolescents with comorbid ASD compared to those without ASD. Conclusions: This study is poised to fill a significant gap in the literature by providing critical data on the use of lithium for adolescents with BD and ASD. Findings will inform clinical practice and future research, potentially guiding more personalized treatment approaches for this complex and vulnerable population.

Factors associated with seasonal affective disorder: Findings from the bipolar disorder course and outcome study from India (BiD-CoIN study)

BackgroundThere is a lack of information on the long-term course and outcomes of bipolar disorder (BD) patients with seasonal affective disorder (SAD). AimTo compare the demographic and clinical profile of BD patients with and without SAD. MethodologyData from 773 BD patients with an illness duration of at least 10 years were collected from 14 tertiary care centers. SAD was defined according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. Participants with and without SAD were compared for demographic and clinical features. ResultsThe prevalence of SAD was 9.44 %. BD patients with SAD spent more time in episodes (p < 0.001), had a higher number of lifetime episodes (p < 0.001), and more episodes per year of illness in the lifetime. They also spent more time in depressive episodes (p < 0.001), had higher depressive (p < 0.001) and manic (p = 0.01) affective morbidity indices, shorter durations of current remission (p < 0.001), higher levels of residual depressive and manic symptoms, higher levels of disability, and received more medications (p < 0.001). Patients with SAD were also more likely to have BD-II (p = 0.01), rapid cycling (p < 0.001), a first-lifetime episode of depressive polarity (p = 0.01), a history of breakthrough episodes (p < 0.001), self-discontinuation of pharmacoprophylaxis, and relapses due to poor medication adherence. They were more often receiving lithium, antipsychotics, and antidepressants. However, a lower proportion of those with SAD had been hospitalized, received electroconvulsive therapy, or were receiving valproate. ConclusionPatients with SAD, in general, have more severe BD, and differ from those without SAD on many clinical parameters.

Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology.

Effective treatment of bipolar disorder (BD) requires prompt response to mood episodes. Preliminary studies suggest that predictions based on passive sensor data from personal digital devices can accurately detect mood episodes (e.g., between routine care appointments), but studies to date do not use methods designed for broad application. This study evaluated whether a novel, personalized machine learning approach, trained entirely on passive Fitbit data, with limited data filtering could accurately detect mood symptomatology in BD patients. We analyzed data from 54 adults with BD, who wore Fitbits and completed bi-weekly self-report measures for 9 months. We applied machine learning (ML) models to Fitbit data aggregated over two-week observation windows to detect occurrences of depressive and (hypo)manic symptomatology, which were defined as two-week windows with scores above established clinical cutoffs for the Patient Health Questionnaire-8 (PHQ-8) and Altman Self-Rating Mania Scale (ASRM) respectively. As hypothesized, among several ML algorithms, Binary Mixed Model (BiMM) forest achieved the highest area under the receiver operating curve (ROC-AUC) in the validation process. In the testing set, the ROC-AUC was 86.0% for depression and 85.2% for (hypo)mania. Using optimized thresholds calculated with Youden's J statistic, predictive accuracy was 80.1% for depression (sensitivity of 71.2% and specificity of 85.6%) and 89.1% for (hypo)mania (sensitivity of 80.0% and specificity of 90.1%). We achieved sound performance in detecting mood symptomatology in BD patients using methods designed for broad application. Findings expand upon evidence that Fitbit data can produce accurate mood symptomatology predictions. Additionally, to the best of our knowledge, this represents the first application of BiMM forest for mood symptomatology prediction. Overall, results move the field a step toward personalized algorithms suitable for the full population of patients, rather than only those with high compliance, access to specialized devices, or willingness to share invasive data.

Highfield imaging of the subgenual anterior cingulate cortex in uni- and bipolar depression.

The subgenual Anterior Cingulate Cortex (sgACC), as a part of the Anterior Cingulate Cortex and the limbic system plays a crucial role in mood regulation. Previous structural and functional brain imaging studies of the sgACC have revealed alterations of Gray Matter (GM) volumes and Blood Oxygenation Level Dependent signals (BOLD) in patients with Major Depressive Disorder (MDD) and Bipolar Disorder (BD), suggesting potential biomarker traits for affective disorders. In this study we investigated the gray matter volume of the sgACC in 3 different patient groups: 40 MDD patients, of which 20 were medicated (MDDm) and 20 were unmedicated (MDDu), and 21 medicated BD patients, and compared them with 23 healthy volunteers. We examined GM volume alteration using high-resolution 7T Magnetic Resonance Imaging (MRI) which produced quantitative maps of the spin-lattice relaxation time (T1). T1 maps provide high contrast between gray and white matter, and at 7 Tesla voxels with submillimeter resolution can be acquired in a reasonable scan time. We developed a semi-automatic segmentation protocol based on refined landmarks derived from previous volumetric studies using quantitative T1 maps as raw input data for automatic tissue segmentation of GM, WM and CSF (cerebrospinal fluid) tissue. The sgACC ROI was then superimposed on these tissue probability maps and traced manually by two independent raters (F.B., M.M.) following our semi-automatic segmentation protocol. Interrater reliability was calculated on a subset of 10 brain scans for each hemisphere, showing an Intra-Class Correlation coefficient (ICC) r = 0.96 for left sgACC and r = 0.84 for right sgACC respectively. In summary, we have developed a reproducible and reliable semi-automatic segmentation protocol to measure gray matter volume in the sgACC. Based on previous findings from meta-analyses on morphometric studies of the sgACC, we hypothesized that patients with MDD would have lower gray matter sgACC volumes compared to healthy subjects. Post-hoc analysis revealed smaller subgenual volumes for the left hemisphere in both the medicated (MDDm) and non-medicated (MDDu) group versus healthy controls (p = .001, p = .008) respectively. For the right hemisphere, the (MDDu) and BD group exhibited significantly lower subgenual volumes than healthy controls (p < .001, p = .004) respectively. To our knowledge, this is the first morphometric MRI study using T1 maps obtained in high-resolution 7 Tesla MRI to compare MDD and BD patients with healthy controls.

Retrospective review: Factors impacting length of stay in Bipolar Disorder at a tertiary hospital.

Bipolar disorder (BD) is a chronic, disabling mental illness that may require recurrent hospitalisation. The length of hospital stay (LOS) for BD patients is variable, and literature suggests that this is because of clinical and socio-demographic factors. To determine the average LOS for patients admitted for BD at a hospital and its relation to clinical and socio-demographic factors. A public tertiary hospital in South Africa. Clinical and socio-demographic data were obtained from a retrospective record review of patient admissions at a hospital over 1 year. Length of hospital stay, defined as the duration between admission and discharge date, and other variables were retrieved. A total of 215 patients were admitted during the study period. The mean LOS was 30 days. The mean age of the patients was 35.9 years (standard deviation [s.d.] = 12.4, range 18-72 years). There were similar numbers of males and females admitted. Significantly more patients were not married (p < 0.001), unemployed (p < 0.001), and had a history of substance use (p < 0.001). Employed patients were 2.5 times more likely to have a short stay than those unemployed (p = 0.03). There was a statistically significant association between the number of comorbidities and LOS. The study findings align with the literature's results. The median length of stay was 25 days and was impacted by socio-demographic but not clinical factors. The study provided insight into the impact of variable factors in LOS for BD patients.

Bipolar Mood Disorder in Older Age Individuals

Since geriatric individuals are a rapidly growing segment of the population, the number of patients with bipolar mood disorder is increasing gradually. Treatment options become more difficult as a result of increasing organic diseases and comorbid psychiatric disorders with increasing age, and the treatment of geriatric bipolar mood disorder patients can be more complex than that of younger patients, considering the sensitivity to side effects due to pharmacological treatments. The aim of this study is to present the prevalence of bipolar mood disorder in the older age group, the symptoms affecting them, and the current status of comorbid disorders by collecting information from the studies in the related literature. It is of critical importance examining the neurodegeneration of bipolar mood disorder in more detail in future studies. With more interventional studies, it will be possible to support organic diseases and psychiatric comorbidities that occur with advancing age. Local studies on the treatment protocols will help to reduce the burden created on patients.

The relationship between prodromal symptom levels and affective temperament features and emotional dysregulation in patients diagnosed with bipolar disorder and their first-degree relatives: A controlled study

BackgroundThe frequency of developing psychiatric symptoms is higher in the first-degree relatives of bipolar patients compared to the healthy population. This study aims to determine the possible diagnosis of bipolarity by revealing the bipolar prodromal features, temperament changes, and emotional disregulation in the first-degree relatives of bipolar patients and their interrelationships. MethodsA total of 150 patients, including bipolar disorder patients, their first-degree relatives, and a healthy control group, aged 18–65 who met the study inclusion criteria, were included in the study. Sociodemographic data form, Bipolar Prodromal Symptom Scale (BPSS), Temperament Evaluation of Memphis, Pisa, Paris, San Diego Autoquestionnaire (TEMPS-A), and Difficulty in Emotion Regulation Scale (DERS) were administered to all participants. ResultsSignificant differences were found between the BPSS, TEMPS-A, and DERS total and subscale scores of the bipolar patient group, first-degree relatives, and healthy control group (p < 0.001). There were significant differences in BPSS frequency and severity subscale scores, TEMPS-A hyperthymic and cyclothymic subscale scores, and DERS strategy, goal-oriented, and awareness subscale scores between patients and their first-degree relatives (p < 0.001). Additionally, all scale scores of the patient relatives were significantly different from the healthy control group (p < 0.001). A significant relationship was found between the prodromal scores and temperament scores of the patient relatives, and between the temperament scores and DERS scores (p < 0.001). ConclusionIt has been observed that the severity and frequency of bipolar prodromal symptoms, temperament changes, and difficulty in mood regulation are higher in bipolar patients and their first-degree relatives compared to the healthy population. Differences were found in hyperthymic and cyclothymic temperament features and difficulty in mood regulation scores between bipolar patients and their first-degree relatives. Patient relatives showed significant changes in all parameters compared to the healthy group. The severity of bipolar prodromal symptoms in patient relatives was associated with cyclothymic and anxious temperament features, while the frequency of bipolar symptoms was associated with anxious temperament. Relationships were found between some temperament and mood regulation difficulty sub-scores. In light of these findings, evaluating clinical variables such as the frequency and severity of prodromal symptoms, temperament features, and difficulty in mood regulation in the first-degree relatives of bipolar patients may be an appropriate approach for diagnosing mood disorders.

Refining criteria for a neurodevelopmental sub-phenotype of bipolar disorders: a FondaMental Advanced Centers of Expertise for Bipolar Disorders study

Bipolar disorder (BD) is a complex and heterogeneous psychiatric disorder. Neurodevelopmental factors were suggested to contribute to the etiology of BD, yet a specific neurodevelopmental phenotype of the disorder remains unidentified. Our objective was to define and characterize a neurodevelopmental phenotype (NDP) in BD and validate its associations with clinical outcomes, polygenic risk scores (PGS), and treatment responses. We analyzed the FACE-BD cohort of 4,468 BD patients, a validation cohort of 101 BD patients, and two independent replication datasets of 274 and 89 BD patients. Using factor analyses, we identified a set of criteria for defining NDP. We next developed a scoring system for NDP-load and assessed its association with prognosis, neurological soft signs, polygenic risk scores for neurodevelopmental disorders, and responses to treatment using multiple regressions, adjusted for age and sex with bootstrap replications. Our study established a NDP in BD consisting of nine clinical features: advanced paternal age, advanced maternal age, childhood maltreatment, attention deficit hyperactivity disorder (ADHD), early onset of BD, early onset of substance use disorders, early onset of anxiety disorders, early onset of eating disorders, specific learning disorders. Patients with higher NDP-load showed a worse prognosis and increased neurological soft signs. Notably, these individuals exhibited a poorer response to lithium treatment. Furthermore, a significant positive correlation was observed between the NDP-load and PGS for ADHD suggesting potential overlapping genetic factors or pathophysiological mechanisms between BD and ADHD. The proposed NDP constitutes a promising clinical tool for patient stratification in BD.

Experience of using electroconvulsive therapy for bipolar disorder: A retrospective study from North India

Background: Little information is available on response to electroconvulsive therapy (ECT) in patients with bipolar disorder (BD) from India. Aim: This exploratory study aims to evaluate and compare the sociodemographic and clinical profiles, treatment outcomes of BD patients with depression and mania/mixed episode who received ECT and to evaluate the predictors of response to ECT. Results: Data of 278 BD patients who received 325 ECT courses were extracted from the ECT register. The number courses of ECT for bipolar depression (n = 202) exceeded those for mania/mixed episodes (n = 123). In terms of response to ECT, &gt;75% response was achieved in 63.3% cases and &gt;50% response was seen in about 90% of the patients. No significant difference was seen in response to ECTs between bipolar depression and mania/mixed episodes. Conclusion: The present study suggests that about two-thirds of the BD patients show more than 75% response to ECT, and more than 90% of the BD patients show more than 50% response to ECT.

The differences in testosterone and stress hormones between unipolar and bipolar depression in adolescents and adults

BackgroundWhile patients with major depressive disorder (MDD) and bipolar disorder (BD) often exhibit aberrant hormones, it is still unknown whether the hormones differ between MDD and BD across the age spectrum. We aimed to investigate the differences in testosterone and stress hormones between depressed patients with MDD and BD in adolescents and adults, and the impact of suicidal ideation on these. MethodsA total of 432 depressed patients (270 MDD and 162 BD) were recruited, including 177 adolescents and 255 adults. Plasma levels of adrenocorticotropic hormone (ACTH), cortisol (CORT), testosterone (T), and prolactin (PRL) were measured in all patients. Suicidal ideation was assessed by item 3 of the Hamilton Depression Rating Scale. ResultsIn adolescents, plasma T levels were higher in MDD than in BD (p=0.018), MDD patients with suicidal ideation exhibited higher T levels than BD patients with suicidal ideation (p=0.036), and plasma T levels were associated with diagnosis (ORadjus=0.777, p=0.023). In adults, plasma ACTH levels were elevated in MDD versus BD (p=0.012) and were also diagnosis-related (ORadjus=0.972, p=0.019). Plasma levels of other hormones were not significantly different between MDD and BD in adolescents or adults (all p>0.05). ConclusionsThere was an age-specific difference in the T and ACTH between depressed patients with MDD and BD. Suicidal ideation was linked to T in adolescents.

Abnormal functional lateralization and cooperation in bipolar disorder are associated with neurotransmitter and cellular profiles

BackgroundHemispheric lateralization and cooperation are essential for efficient brain function, and aberrations in both have been found in psychiatric disorders such as schizophrenia. This study investigated alterations in hemispheric lateralization and cooperation among patients with bipolar disorder (BD) and associations with neurotransmitter and cell-type density distributions to identify potential molecular and cellular pathomechanisms. MethodsSixty-seven BD patients and 127 healthy controls (HCs) were examined by resting-state functional MRI (rs-fMRI). Whole-brain maps of the autonomy index (AI) and connectivity between functionally homotopic voxels (CFH) were constructed to reveal BD-specific changes in brain functional lateralization and interhemispheric cooperation, respectively. Spatial associations of regional AI and CFH abnormalities with neurotransmitter and cell-type density distributions were examined by correlation analyses. ResultsBipolar disorder patients exhibited higher AI values in left superior parietal gyrus, cerebellar right Crus I, and cerebellar right Crus II, and these regional abnormalities were associated with the relative densities (proportions) of oligodendrocyte precursor cells and microglia. Patients also exhibited lower CFH values in right inferior parietal gyrus, bilateral middle occipital gyrus, left postcentral gyrus, and bilateral cerebellar crus II, and these regional abnormalities were associated with the densities of serotonin 1A and dopamine D2 receptors, oligodendrocyte precursor cells, astrocytes, and neurons. ConclusionsThese findings indicate that abnormal functional lateralization and cooperation in BD with potential molecular and cellular basis.

Prescribing patterns for older-age bipolar disorder patients discharged from two public mental hospitals in Taiwan, 2006-2019.

Older-age bipolar disorder (OABD) is commonly defined as bipolar disorder in individuals aged 60 or more. There have been no studies to examine temporal trends in the pharmacological treatment of OABD. We aimed to investigate prescription changes among OABD patients discharged from two public mental hospitals in Taiwan from 2006 to 2019. OABD patients discharged from the two study hospitals, from 1 January 2006 to 31 December 2019 (n = 1072), entered the analysis. Prescribed drugs at discharge, including mood stabilisers (i.e., lithium, valproate, carbamazepine, and lamotrigine), antipsychotics (i.e., second- and first-generation antipsychotics (SGAs and FGAs)), and antidepressants, were investigated. Complex polypharmacy was defined as the use of three or more agents among the prescribed drugs. Temporal trends of each prescribing pattern were analyzed using the Cochran-Armitage Trend test. The most commonly prescribed drugs were SGAs (72.0%), followed by valproate (48.4%) and antidepressants (21.7%). The prescription rates of SGAs, antidepressants, antidepressants without mood stabilisers, and complex polypharmacy significantly increased over time, whereas the prescription rates of mood stabilisers, lithium, FGAs, and antidepressants plus mood stabilisers significantly decreased. Prescribing patterns changed remarkably for OABD patients over a 14-year period. The decreased use of lithium and increased use of antidepressants did not reflect bipolar treatment guidelines. Future research should examine whether such prescribing patterns are associated with adverse clinical outcomes.

The relationship between insight and coping attitudes in bipolar disorder patients

ABSTRACT Bipolar disorder is thought to determine the insights and coping attitudes that affect a patient’s compliance with treatment, which can positively affect the prognosis of the disease. This study aimed to investigate the relationship between insight and coping attitudes in bipolar disorder patients. This descriptive study was carried out with 127 volunteer patients who were diagnosed with bipolar disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and who were in a euthymic state. The Personal Information Form, Beck Cognitive Insight Scale (BCIS) and Scale of Coping Attitudes (COPE) were used as data collection tools. We found positive correlations between the total COPE score, the total BCIS score and the self-reflectivity subscale score of the BCIS. A positive and significant correlation was also determined between the BCIS subscales and total scores and coping attitudes toward adaptation with the COPE subscales (p < 0.05). A positive and significant relationship was found between the insight scores and total coping scores of the patients and their coping attitudes toward adaptation. We found that when patients’ levels of insight increased, their coping attitudes toward adaptation were used more frequently. This study revealed that individuals with high self-reflectivity can cope more effectively with the situations they face.

Distinct connectivity patterns in bipolar and unipolar depression: a functional connectivity multivariate pattern analysis study

BackgroundPatients with bipolar disorder (BD) and major depressive disorder (MDD) exhibit depressive episodes with similar symptoms despite having different and poorly understood underlying neurobiology, often leading to misdiagnosis and improper treatment. This exploratory study examined whole-brain functional connectivity (FC) using FC multivariate pattern analysis (fc-MVPA) to identify the FC patterns with the greatest ability to distinguish between currently depressed patients with BD type I (BD I) and those with MDD.MethodologyIn a cross-sectional design, 41 BD I, 40 MDD patients and 63 control participants completed resting state functional magnetic resonance imaging scans. Data-driven fc-MVPA, as implemented in the CONN toolbox, was used to identify clusters with differential FC patterns between BD patients and MDD patients. The identified cluster was used as a seed in a post hoc seed-based analysis (SBA) to reveal associated connectivity patterns, followed by a secondary ROI-to-ROI analysis to characterize differences in connectivity between these patterns among BD I patients, MDD patients and controls.ResultsFC-MVPA identified one cluster located in the right frontal pole (RFP). The subsequent SBA revealed greater FC between the RFP and posterior cingulate cortex (PCC) and between the RFP and the left inferior/middle temporal gyrus (LI/MTG) and lower FC between the RFP and the left precentral gyrus (LPCG), left lingual gyrus/occipital cortex (LLG/OCC) and right occipital cortex (ROCC) in MDD patients than in BD patients. Compared with the controls, ROI-to-ROI analysis revealed lower FC between the RFP and the PCC and greater FC between the RFP and the LPCG, LLG/OCC and ROCC in BD patients; in MDD patients, the analysis revealed lower FC between the RFP and the LLG/OCC and ROCC and greater FC between the RFP and the LI/MTG.ConclusionsDifferences in the RFP FC patterns between currently depressed patients with BD and those with MDD suggest potential neuroimaging markers that should be further examined. Specifically, BD patients exhibit increased FC between the RFP and the motor and visual networks, which is associated with psychomotor symptoms and heightened compensatory frontoparietal FC to counter distractibility. In contrast, MDD patients exhibit increased FC between the RFP and the default mode network, corresponding to sustained self-focus and rumination.