Search

Risky decision-making is a common, heritable endophenotype seen across many psychiatric disorders. Its underlying genetic architecture is incompletely explored. We examined behavior in the Balloon Analogue Risk Task (BART), which tests risky decision-making, in two independent samples of European ancestry. One sample (n = 1138) comprised healthy participants and some psychiatric patients (53 schizophrenia, 42 bipolar disorder, 47 ADHD); the other (n = 911) excluded for recent treatment of various psychiatric disorders but not ADHD. Participants provided DNA and performed the BART, indexed by mean adjusted pumps. We constructed a polygenic risk score (PRS) for discovery in each dataset and tested it in the other as replication. Subsequently, a genome-wide MEGA-analysis, combining both samples, tested genetic correlation with risk-taking self-report in the UK Biobank sample and psychiatric phenotypes characterized by risk-taking (ADHD, Bipolar Disorder, Alcohol Use Disorder, prior cannabis use) in the Psychiatric Genomics Consortium. The PRS for BART performance in one dataset predicted task performance in the replication sample (r = 0.13, p = 0.000012, pFDR = 0.000052), as did the reciprocal analysis (r = 0.09, p = 0.0083, pFDR=0.04). Excluding participants with psychiatric diagnoses produced similar results. The MEGA-GWAS identified a single SNP (rs12023073; p = 3.24 × 10 -8 ) near IGSF21, a protein involved in inhibitory brain synapses; replication samples are needed to validate this result. A PRS for self-reported cannabis use (p = 0.00047, pFDR = 0.0053), but not self-reported risk-taking or psychiatric disorder status, predicted behavior on the BART in our MEGA-GWAS sample. The findings reveal polygenic architecture of risky decision-making as measured by the BART and highlight its overlap with cannabis use., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Current diagnostic strategy for bipolar disorders relies on symptomological classification. Yet, responses to both pharmacological and psychotherapeutic treatments vary widely, suggesting that underlying neuropathological differences are not well defined by current nosology. Classifying patients with bipolar disorder based on emotion regulation network (ERN) activation may account for some of the heterogeneity within the disorder., Methods: Euthymic participants diagnosed with bipolar I disorder (n = 86) and healthy subjects (n = 80) underwent functional magnetic resonance imaging scans while engaged in emotional reappraisal of negative stimuli. After determining average regional activations in key network regions, we applied agglomerative hierarchical clustering to identify subtypes of bipolar disorder. Next, we examined relations among neural subtypes, demographic variables, and mood symptoms., Results: Analyses revealed two primary neural subtypes of euthymic bipolar I disorder participants. The first subtype, ERN cluster 1, was characterized by increased amygdala activation and slightly increased ventrolateral prefrontal and subgenual cingulate activation, whereas ERN cluster 2 was defined by decreased amygdala activation with wider-spread prefrontal activation. Cluster 1 was associated with a higher number of hospitalizations for depression (odds ratio = 1.30, 95% confidence interval = 1.02-1.64) and later onset of manic episodes (odds ratio = 1.06, 95% confidence interval = 1.00-21.13) than cluster 2. ERN clusters of healthy subjects differed from bipolar disorder clusters and were defined by differential activation of the prefrontal cortex. ERN clusters of healthy subjects, which differed from bipolar disorder clusters, were defined by differential activation of the prefrontal cortex., Conclusions: Emotion regulation circuitry can distinguish neurobiological subtypes of bipolar disorder in the euthymic state. These subtypes, which are differentially associated with indices of illness severity and subsyndromal affective symptoms, may help to inform relapse risk and more personalized treatment approaches., (Copyright © 2020 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Background: Individuals with co-existing serious mental illness and non-psychiatric medical illness are at high risk of acute care utilization. Mining of electronic health record data can help identify and categorize predictors of psychiatric hospital readmission in this population., Objective: This study aimed to identify modifiable predictors of psychiatric readmission among individuals with comorbid bipolar disorder and medical illness. This goal was accomplished by applying objective variable selection via machine learning techniques., Method: This was a retrospective analysis of electronic health record data derived from 77,296 episodes of care from 2006 to 2016 within the University of California Health Care System. Data included 1,250 episodes of care involving patients with bipolar disorder and serious comorbid medical illnesses (defined by transfer between medicine and psychiatry services or concomitant primary medical and psychiatric admission diagnoses). Machine learning (classification trees) was used to identify potential predictors of 30-day psychiatric readmission across hospital encounters. Predictors included demographics, medical and psychiatric diagnoses, medication regimen, and disposition. The algorithm was internally validated using 10-fold cross-validation., Results: The model predicted 30-day readmission with high accuracy (98% unbalanced model, 88% balanced model). Modifiable predictors of readmission were length of stay, transfers between medical and psychiatric services, discharge disposition to home, and all-cause acute health service utilization in the year before the index hospitalization., Conclusion: Among bipolar disorder patients with comorbid medical conditions, characteristics of the index hospitalization (e.g., duration, transfer, and disposition) emerged as more predictive than static properties of the patient (e.g., sociodemographic factors and psychiatric comorbidity burden). Findings identified phenotypes of patients at high risk for rehospitalization and suggest potential ways of modifying the risk of early readmission., (Copyright © 2019 Academy of Consultation-Liaison Psychiatry. Published by Elsevier Inc. All rights reserved.)

Efforts to replicate results from both basic and clinical models have highlighted problems with reproducibility in science. In psychiatry, reproducibility issues are compounded because the complex behavioral syndromes make many disorders challenging to model. We develop translatable tasks that quantitatively measure psychiatry-relevant behaviors across species. The behavioral pattern monitor (BPM) was designed to analyze exploratory behaviors, which are altered in patients with bipolar disorder (BD), especially during mania episodes. We have repeatedly assessed the behavioral effects of reduced dopamine transporter (DAT) expression in the BPM using a DAT knockdown (KD) mouse line (~10% normal expression). DAT KD mice exhibit a profile in the BPM consistent with acutely manic BD patients in the human version of the task-hyperactivity, increased exploratory behavior, and reduced spatial d (Perry et al., 2009). We collected data from multiple DAT KD BPM experiments in our laboratory to assess the reproducibility of behavioral outcomes across experiments. The four outcomes analyzed were: 1) transitions (amount of locomotor activity); 2) rearings (exploratory activity); 3) holepokes (exploratory activity); and 4) spatial d (geometrical pattern of locomotor activity). By comparing DAT KD mice to wildtype (WT) littermates in every experiment, we calculated effect sizes for each of the four outcomes and then calculated a mean effect size using a random effects model. DAT KD mice exhibited robust, reproducible changes in each of the four outcomes, including increased transitions, rearings, and holepokes, and reduced spatial d, vs. WT littermates. Our results demonstrate that the DAT KD mouse line in the BPM is a consistent, reproducible model of mania-relevant behaviors. More work must be done to assess reproducibility of behavioral outcomes across experiments in order to advance the field of psychiatry and develop more effective therapeutics for patients., (Copyright © 2017. Published by Elsevier Inc.)

The relationship of personality disorder (PD) psychopathology to the course of bipolar disorder remains inadequately described. After giving informed consent, more than 782 outpatients with bipolar disorder rated themselves on the 99-item Personality Disorder Questionnaire, Version 4 (PDQ4) when depressed or euthymic. They also rated six poor prognosis factors (PPFs). The relationships of the PPFs to the total PDQ4 score were examined by a linear regression. Even after correcting for the higher PDQ4 scores observed when patients were suffering depression, the PDQ4 was significantly related to a history of child abuse, early age of onset, an anxiety disorder comorbidity, rapid cycling, and 20 or more previous episodes, but not substance abuse. The data suggest close relationships between the total burden of PD psychopathology and correlates of an adverse outcome of bipolar disorder. The nature of this of association and approaches to treatment of comorbid PD remain to be further explored.

Objectives: A high incidence of Axis II personality disorders is described in patients with bipolar disorder; however, their relationship to mood state remains uncertain., Methods: A total of 966 outpatients with bipolar disorder gave informed consent and filled out the Personality Disorder Questionnaire, 4th edition (PDQ4) and a questionnaire on demographics and course of illness prior to Bipolar Treatment Outcome Network entry at average age 41 years. Patients were rated at each visit for depression on the Inventory of Depressive Symptoms-Clinician version (IDS-C) and for mania on the Young Mania Rating Scale (YMRS). In a subgroup, the PDQ4 was retaken during periods of depression and euthymia., Results: Patients met criteria for most personality disorders at a much higher rate when they took the PDQ4 while depressed compared to while euthymic, and scores were significantly related to the severity of depression (IDS) and of mania (YMRS) assessed within 2 weeks of taking the PDQ. Even when euthymic, more than quarter to half of the patients met criteria for a cluster A, B or C personality disorder., Conclusions: A wide range of personality disorders occur in bipolar patients, but are highly dependent on filling out the form while depressed compared to while euthymic. How this relates to having a personality disorder assessed using a structured clinical interview remains to be tested. However, higher PDQ4 scores are related to an earlier age of onset of bipolar disorder and other factors portending a more difficult course of bipolar disorder, and the optimal treatment of these patients remains to be illuminated., (© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: DSM-5 introduced the "with mixed features" specifier for major depressive episodes. The authors assessed the prevalence and phenomenology of mixed depression among bipolar disorder patients and qualitatively compared a range of diagnostic thresholds for mixed depression., Method: In a naturalistic study, 907 adult outpatients with bipolar disorder participating in the Stanley Foundation Bipolar Network were followed longitudinally across 14,310 visits from 1995 to 2002. The Inventory of Depressive Symptomatology-Clinician-Rated Version (IDS-C) and the Young Mania Rating Scale (YMRS) were administered at each visit., Results: Mixed depression, defined as an IDS-C score ≥15 and a YMRS score >2 and <12 at the same visit, was observed in 2,139 visits (14.9% of total visits, and 43.5% of visits with depression) by 584 patients (64.4% of all patients). Women were significantly more likely than men to experience subthreshold hypomania during visits with depression (40.7% compared with 34.4%). Patients with one or more mixed depression visits had more symptomatic visits and fewer euthymic visits compared with those with no mixed depression visits. DSM-5-based definitions of mixed depression (ranging from narrower definitions requiring ≥3 nonoverlapping YMRS items concurrent with an IDS-C score ≥15, to broader definitions requiring ≥2 nonoverlapping YMRS items) yielded lower mixed depression prevalence rates (6.3% and 10.8% of visits, respectively) but were found to have similar relationships to gender and longitudinal symptom severity., Conclusions: Among outpatients with bipolar disorder, concurrent hypomanic symptoms observed during visits with depression were common, particularly in women. The DSM-5 diagnostic criteria for depression with mixed features may yield inadequate sensitivity to detect patients with mixed depression.

Adding supraphysiologic doses of levothyroxine (L-T4) to standard treatment for bipolar depression shows promise, but the mechanisms underlying clinical improvement are unknown. In a previous pilot study, L-T4 treatment reduced depression scores and activity within the anterior limbic network. Here we extended this work in a randomized, double-blind, placebo-controlled study of patients with bipolar depression. Cerebral glucose metabolism was assessed with positron emission tomography and [F-18]fluorodeoxyglucose before and after 6 weeks of treatment with L-T4 (n=15) or placebo (n=10) in 12 volumes of interest (VOIs): the bilateral thalamus, amygdala, hippocampus, dorsal striatum and ventral striatum, and midline cerebellar vermis and subgenual cingulate cortex. Radioactivity in the VOIs, normalized to whole-brain radioactivity was taken as a surrogate index of glucose metabolism, and markers of thyroid function were assayed. Changes in brain activity and their association with clinical response were assessed using statistical parametric mapping. Adjunctive L-T4 treatment produced a significant decline in depression scores during the 6-week treatment. In patients treated with L-T4, we found a significant decrease in regional activity at P<0.05 after Bonferroni correction in the left thalamus, right amygdala, right hippocampus, left ventral striatum and the right dorsal striatum. Decreases in the left thalamus, left dorsal striatum and the subgenual cingulate were correlated with a reduction in depression scores (P<0.05 after Bonferroni correction). Placebo treatment was associated with a significant decrease in activity only in the right amygdala, and no region had a change in activity that was correlated with change in depression scores. The groups differed significantly in the relationship between the changes in depression scores and in activity in the thalamus bilaterally and the left ventral striatum. The findings provide evidence that administration of supraphysiologic thyroid hormone improves depressive symptoms in patients with bipolar disorder by modulating function in components of the anterior limbic network.

Objective: Relatively little is known about the co-occurrence of bipolar and eating disorders. We therefore assessed the prevalence and clinical correlates of eating disorders in 875 patients with bipolar disorder., Method: 875 outpatients with DSM-IV bipolar I or II disorder were evaluated with structured diagnostic interviews and clinician- and self-administered questionnaires to determine bipolar and eating disorder diagnoses, other comorbid Axis I disorder diagnoses, and demographic and historical illness characteristics., Results: 125 (14.3%) patients met DSM-IV criteria for at least one comorbid lifetime Axis I eating disorder, with binge eating disorder (N=77) being more common than bulimia nervosa (n=42) and anorexia nervosa (N=27). There were no significant eating disorder comorbidity differences between bipolar I and bipolar II patients. Presence of a lifetime comorbid eating disorder was associated with female gender, younger age, earlier age of onset of mood symptoms and of bipolar disorder, presentation in a mixed episode, greater number of prior mood episodes, history of rapid cycling and suicide attempts, greater mean BMI, obesity and severe obesity, and family history of depression, bipolar disorder, alcoholism, and drug abuse. When the three eating disorder groups were compared, lifetime anorexia nervosa was associated with normal weight and a lifetime anxiety disorder, lifetime bulimia nervosa was associated with overweight, and lifetime binge eating disorder was associated with obesity and severe obesity., Conclusions: Patients with bipolar disorder, especially women, not infrequently have comorbid eating disorders, and this comorbidity is associated with an earlier age of onset and more severe course of bipolar illness., (© 2010 Elsevier B.V. All rights reserved.)

Objectives: Several magnetic resonance imaging studies have found changes in amygdala volumes in adults with mood disorders. The cellular basis for these changes has not been explored in detail. Specifically, it is not known whether differences in the density and/or volume of neurons or glial cells contribute to tissue volume changes seen on magnetic resonance images., Methods: Postmortem amygdala samples were obtained from the Stanley Foundation Neuropathology Consortium from subjects diagnosed with bipolar disorder (n = 10), major depressive disorder (n = 11), and schizophrenia (n = 9), and from normal controls (n = 14). Samples were first stained with glial fibrillary acidic protein (GFAP) and counter-stained with hematoxylin to ascertain neuron and glia (astrocyte) densities., Results: No significant differences in neuronal densities were found between groups. However, a reduction in the density of GFAP immunoreactive astrocytes was observed in the amygdala of subjects with major depressive disorder compared to the bipolar disorder, schizophrenia, and normal control postmortem samples., Conclusions: A decrease in density of GFAP immunoreactive astrocytes in the amygdala of depressed subjects is consistent with prior histologic reports and might contribute to amygdala volume reductions reported in several in vivo neuroimaging studies., ((c) 2010 John Wiley & Sons A/S.)

Objective: The authors assessed gender differences in the proportion of clinical visits spent depressed, manic, or euthymic in patients with bipolar disorder., Method: Data were analyzed from 711 patients with bipolar I or II disorder who were followed prospectively over 7 years (13,191 visits). The main outcome measures were the presence of symptoms of depression or of hypomania or mania, measured by the Inventory of Depressive Symptomatology and the Young Mania Rating Scale. Data were analyzed using three separate repeated-measures regressions with a logistic link function to model the probability that an individual was depressed, manic, or euthymic. The models controlled for bipolar I or bipolar II diagnosis, rapid cycling, age, time in the study, comorbid anxiety disorders, and comorbid substance use disorders., Results: In approximately half of visits, patients had depressive, manic, or hypomanic symptoms. The likelihood of having depressive symptoms was significantly greater for women than for men. This was accounted for by higher rates in women of rapid cycling and anxiety disorders, each of which was associated with increased rates of depression. All patient groups showed an increase in number of euthymic visits and a decrease in number of visits with depressive and manic symptoms with increased time in study., Conclusions: Bipolar patients spend a substantial proportion of their time ill. Significant gender differences exist, with women spending a greater proportion of their visits in the depressive pole. This finding appears to be related to the corresponding differences in rates of rapid cycling and anxiety disorders.

Objective: To assess long-term outcome in bipolar disorder, subjects were prospectively followed after receiving acute treatment for bipolar depression., Method: Eighty-three outpatients with DSM-IV bipolar depression who were enrolled between March 1996 and November 2002 and were treated in a 10-week acute double-blind antidepressant treatment trial agreed to participate in a 1-year double-blind continuation of their medication. In the acute antidepressant treatment trial, subjects were treated with a mood stabilizer plus 1 of 3 randomly assigned antidepressants. Sixty-one subjects had attained an acute positive antidepressant response (50% improvement on the Inventory for Depressive Symptomatology [IDS] or 2-point improvement on the Clinical Global Impression for Bipolar Disorder [CGI-BP]) and 22 subjects achieved only acute partial improvement at the end of the 10-week acute trial. In the blinded continuation phase immediately following the acute trial, subjects continued on the same medications and were rated monthly for up to 1 year using the IDS, CGI-BP, and the Young Mania Rating scale., Results: At study endpoint, 42 (69%) of the 61 acute positive responders maintained positive response and 32 (53%) achieved remission. Compared to the acute positive responders, 6 (27%) of the 22 acute partial responders had achieved positive treatment response at study endpoint (p < .001). Eight acute positive responders (13%) and 5 acute partial responders (22%) developed mania., Conclusion: Patients who achieve a positive acute antidepressant response to 10 weeks of antidepressant treatment adjunctive to a mood stabilizer will probably maintain response with the same continued treatment. Patients who achieve only a partial acute antidepressant response are less likely to further improve when the same treatment is sustained. The switch rate into mania for patients being treated with an antidepressant adjunctive to a mood stabilizer is not higher than the reported rate for patients on mood stabilizer monotherapy., (©Copyright 2009 Physicians Postgraduate Press, Inc.)

Objectives: Patients with bipolar disorder (BD) have an increased risk of obesity as well as psychotropic-associated weight gain. The objective of this study was to compare sibutramine and topiramate as adjunctive treatments for psychotropic-associated weight gain in overweight or obese outpatients with BD., Methods: In this 24-week, open-label, flexible-dose, comparison trial, 46 outpatients with bipolar disorders who had a body mass index (BMI) > or =30 kg/m(2), or > or =27 kg/m(2) with obesity-related comorbidities, and psychotropic-associated weight gain were randomly assigned to receive sibutramine (n = 18; 5-15 mg/day) or topiramate (n = 28; 25-600 mg/day). The primary outcome measure was weight loss. Secondary measures included changes in BMI, percent body weight loss, and mood symptoms., Results: Patients randomized either to sibutramine or topiramate lost comparable amounts of weight (4.1 +/- 5.7 and 2.8 +/- 3.5 kg, respectively) and displayed similar rates of weight loss (0.85 and 0.82 kg/week, respectively). However, only four (22%) patients receiving sibutramine and six (21%) patients receiving topiramate completed the 24-week trial. In addition, the attrition patterns for the two drugs were different, with patients discontinuing topiramate doing so early in treatment and patients discontinuing sibutramine doing so throughout treatment. Also, higher ratings of manic and depressive symptoms significantly increased risk for early topiramate discontinuation compared to that for sibutramine., Conclusions: Adjunctive sibutramine and topiramate may have comparable weight loss effects in overweight or obese bipolar patients with psychotropic-associated weight gain, but are each associated with similarly high discontinuation rates. In addition, they may have different attrition profiles. Compared to sibutramine, discontinuation of topiramate may be more likely to occur early in treatment and may be more dependent upon manic and depressive symptoms.

Objective: To compare the efficacy and tolerability of tranylcypromine vs. lamotrigine in bipolar depression not responding to conventional antidepressants., Method: Bipolar depressed patients received open randomized treatment with tranylcypromine or lamotrigine as add-on to a mood stabilizer during 10 weeks. In a second treatment phase, non-responding patients could receive the opposite drug. Outcome criteria were response (measured with CGI-BP and IDS-C), switch into mania, and completion of the study., Results: Only 20 of 70 planned patients were randomized, due to problems with recruitment, and 19 patients received any medication. During the first treatment phase 5/8 patients (62.5%) responded to tranylcypromine without switch into mania, compared with 4/11 patients (36.4%) on lamotrigine with two switches (statistically not significant). Over both treatment phases, 8/10 patients (80%) receiving tranylcypromine completed the study vs. 5/13 (38.5%) on lamotrigine (likelihood 0.02)., Conclusion: There still appears to be a role for tranylcypromine in the treatment of refractory bipolar depression. Larger controlled studies are demanded.

Risky decision-making is a common, heritable endophenotype seen across many psychiatric disorders. Its underlying genetic architecture is incompletely explored. We examined behavior in the Balloon Analogue Risk Task (BART), which tests risky decision-making, in two independent samples of European ancestry. One sample (n = 1138) comprised healthy participants and some psychiatric patients (53 schizophrenia, 42 bipolar disorder, 47 ADHD); the other (n = 911) excluded for recent treatment of various psychiatric disorders but not ADHD. Participants provided DNA and performed the BART, indexed by mean adjusted pumps. We constructed a polygenic risk score (PRS) for discovery in each dataset and tested it in the other as replication. Subsequently, a genome-wide MEGA-analysis, combining both samples, tested genetic correlation with risk-taking self-report in the UK Biobank sample and psychiatric phenotypes characterized by risk-taking (ADHD, Bipolar Disorder, Alcohol Use Disorder, prior cannabis use) in the Psychiatric Genomics Consortium. The PRS for BART performance in one dataset predicted task performance in the replication sample (r = 0.13, p = 0.000012, pFDR = 0.000052), as did the reciprocal analysis (r = 0.09, p = 0.0083, pFDR=0.04). Excluding participants with psychiatric diagnoses produced similar results. The MEGA-GWAS identified a single SNP (rs12023073; p = 3.24 × 10-8) near IGSF21, a protein involved in inhibitory brain synapses; replication samples are needed to validate this result. A PRS for self-reported cannabis use (p = 0.00047, pFDR = 0.0053), but not self-reported risk-taking or psychiatric disorder status, predicted behavior on the BART in our MEGA-GWAS sample. The findings reveal polygenic architecture of risky decision-making as measured by the BART and highlight its overlap with cannabis use.