Reward related ventral striatal activity and differential response to sertraline versus placebo in depressed individuals.

Medications to treat major depressive disorder (MDD) are not equally effective across patients. Given that neural response to rewards is altered in MDD and given that reward-related circuitry is modulated by dopamine and serotonin, we examined, for the first time, whether reward-related neural activity moderated response to sertraline, an antidepressant medication that targets these neurotransmitters. A total of 222 unmedicated adults with MDD randomized to receive sertraline (n = 110) or placebo (n = 112) in the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study completed demographic and clinical assessments, and pretreatment functional magnetic resonance imaging while performing a reward task. We tested whether an index of reward system function in the ventral striatum (VS), a key reward circuitry region, moderated differential response to sertraline versus placebo, assessed with the Hamilton Rating Scale for Depression (HSRD) over 8 weeks. We observed a significant moderation effect of the reward index, reflecting the temporal dynamics of VS activity, on week-8 depression levels (Fs ≥ 9.67, ps ≤ 0.002). Specifically, VS responses that were abnormal with respect to predictions from reinforcement learning theory were associated with lower week-8 depression symptoms in the sertraline versus placebo arms. Thus, a more abnormal pattern of pretreatment VS dynamic response to reward expectancy (expected outcome value) and prediction error (difference between expected and actual outcome), likely reflecting serotonergic and dopaminergic deficits, was associated with better response to sertraline than placebo. Pretreatment measures of reward-related VS activity may serve as objective neural markers to advance efforts to personalize interventions by guiding individual-level choice of antidepressant treatment.

Effect of Sertraline on Depressive Symptoms in Patients With Chronic Kidney Disease Without Dialysis Dependence: The CAST Randomized Clinical Trial.

Importance: Major depressive disorder (MDD) is prevalent among patients with chronic kidney disease (CKD) and is associated with morbidity and mortality. The efficacy and adverse events of selective serotonin reuptake inhibitors in these patients are unknown. Objective: To determine whether treatment with sertraline improves depressive symptoms in patients with CKD and MDD. Design, Setting, and Participants: The Chronic Kidney Disease Antidepressant Sertraline Trial (CAST) was a randomized, double-blind, placebo-controlled trial involving 201 patients with stage 3, 4, or 5 non-dialysis-dependent CKD, who were enrolled at 3 US medical centers. The Mini Neuropsychiatric Interview was used to establish MDD. The first participant was randomized in March 2010 and the last clinic visit occurred in November 2016. Interventions: After a 1-week placebo run-in, participants were randomized to sertraline (n = 102) for 12 weeks at an initial dose of 50 mg/d (escalated to a maximum dose of 200 mg/d based on tolerability and response) or matching placebo (n = 99). Main Outcomes and Measures: The primary outcome was improvement in depressive symptom severity from baseline to 12 weeks determined by the 16-item Quick Inventory of Depression Symptomatology-Clinician Rated (QIDS-C16) (score range, 0-27; minimal clinically important difference, 2 points). Secondary outcomes included improvement in quality of life (Kidney Disease Quality of Life Survey-Short Form; score range, 0-100; higher scores indicate more favorable quality of life) and adverse events. Results: There were 201 patients (mean [SD] age, 58.2 [13.2] years; 27% female) randomized. The primary analysis included 193 patients who had at least 1 outcome assessment after randomization. The mean (SD) baseline QIDS-C16 score was 14.0 (2.4) in the sertraline group (n = 97) and 14.1 (2.4) in the placebo group (n = 96). The median participation time was 12.0 weeks and the median achieved dose was 150 mg/d, which was not significantly different between the groups. The QIDS-C16 score changed by -4.1 in the sertraline group and by -4.2 in the placebo group (between-group difference, 0.1 [95% CI, -1.1 to 1.3]; P = .82). There was no significant between-group difference in change in patient-reported overall health on the Kidney Disease Quality of Life Survey (median score, 0 in the sertraline group vs 0 in the placebo group; between-group difference, 0 [95% CI, -10.0 to 0]; P = .61). Nausea or vomiting occurred more frequently in the sertraline vs placebo group (22.7% vs 10.4%, respectively; between-group difference, 12.3% [95% CI, 1.9% to 22.6%], P = .03), as well as diarrhea (13.4% vs 3.1%; between-group difference, 10.3% [95% CI, 2.7% to 17.9%], P = .02). Conclusions and Relevance: Among patients with non-dialysis-dependent CKD and MDD, treatment with sertraline compared with placebo for 12 weeks did not significantly improve depressive symptoms. These findings do not support the use of sertraline to treat MDD in patients with non-dialysis-dependent CKD. Trial Registration: clinicaltrials.gov Identifier: NCT00946998.

Prognostic Utility of a Self-Reported Depression Questionnaire versus Clinician-Based Assessment on Renal Outcomes.

BACKGROUND: The prognostic utility of self-administered depression scales in chronic kidney disease (CKD) independent of a clinician-based major depressive disorder (MDD) diagnosis is neither clearly established nor are the optimal cutoff scores for predicting outcomes. The overlap between symptoms of depression and chronic disease raises the question of whether a cutoff score on a depression scale can be substituted for a time-consuming diagnostic interview to prognosticate risk. METHODS: The 16-item Quick Inventory of Depression Symptomatology-Self Report scale (QIDS-SR16) was administered to 266 consecutive outpatients with non-dialysis CKD, followed prospectively for 12 months for an apriori composite outcome of death or dialysis or hospitalization. Association of QIDS-SR16 best cutoff score, determined by receiver/responder operating characteristics curves, with outcomes was investigated using survival analysis. The effect modification of an interview-based clinician MDD diagnosis on this association was ascertained. RESULTS: There were 126 composite events. A QIDS-SR16 cutoff ≥8 had the best prognostic accuracy, hazards ratio (HR) = 1.77, 95% CI 1.24-2.53, p = 0.002. This cutoff remained significantly associated with outcomes even after controlling for comorbidities, estimated glomerular filtration rate, hemoglobin and serum albumin, adjusted HR (aHR) = 1.80, 95% CI 1.23-2.62, p = 0.002, and performed similarly to a clinician-based MDD diagnosis (aHR = 1.72, 95% CI 1.14-2.68). Adjustment for MDD conferred the association of QIDS-SR16 with outcomes no longer significant. CONCLUSIONS: QIDS-SR16 cutoff ≥8 adds to the prognostic information available to practicing nephrologists during routine clinic visits from comorbidities and laboratory data. This cutoff score performs similar to a clinician diagnosis of MDD and provides a feasible and time-saving alternative to an interview-based MDD diagnosis for determining prognosis in CKD patients.

A COMPREHENSIVE EXAMINATION OF WHITE MATTER TRACTS AND CONNECTOMETRY IN MAJOR DEPRESSIVE DISORDER.

BACKGROUND: Major depressive disorder (MDD) is a debilitating disorder characterized by widespread brain abnormalities. The literature is mixed as to whether or not white matter abnormalities are associated with MDD. This study sought to examine fractional anisotropy (FA) in white matter tracts in individuals with MDD using diffusion tensor imaging (DTI). METHODS: 139 participants with MDD and 39 healthy controls (HC) in a multisite study were included. DTI scans were acquired in 64 directions and FA was determined in the brain using four methods: region of interest (ROI), tract-based spatial statistics (TBSS), and diffusion tractography. Diffusion connectometry was used to identify white matter pathways associated with MDD. RESULTS: There were no significant differences when comparing FA in MDD and HC groups using any method. In the MDD group, there was a significant relationship between depression severity and FA in the right medial orbitofrontal cortex, and between age of onset of MDD and FA in the right caudal anterior cingulate cortex using the ROI method. There was a significant relationship between age of onset and connectivity in the thalamocortical radiation, inferior longitudinal fasciculus, and cerebellar tracts using diffusion connectometry. CONCLUSIONS: The lack of group differences in FA and connectometry analysis may result from the clinically heterogenous nature of MDD. However, the relationship between FA and depression severity may suggest a state biomarker of depression that should be investigated as a potential indicator of response. Age of onset may also be a significant clinical feature to pursue when studying white matter tracts.

Test-retest reliability of freesurfer measurements within and between sites: Effects of visual approval process.

In the last decade, many studies have used automated processes to analyze magnetic resonance imaging (MRI) data such as cortical thickness, which is one indicator of neuronal health. Due to the convenience of image processing software (e.g., FreeSurfer), standard practice is to rely on automated results without performing visual inspection of intermediate processing. In this work, structural MRIs of 40 healthy controls who were scanned twice were used to determine the test-retest reliability of FreeSurfer-derived cortical measures in four groups of subjects-those 25 that passed visual inspection (approved), those 15 that failed visual inspection (disapproved), a combined group, and a subset of 10 subjects (Travel) whose test and retest scans occurred at different sites. Test-retest correlation (TRC), intraclass correlation coefficient (ICC), and percent difference (PD) were used to measure the reliability in the Destrieux and Desikan-Killiany (DK) atlases. In the approved subjects, reliability of cortical thickness/surface area/volume (DK atlas only) were: TRC (0.82/0.88/0.88), ICC (0.81/0.87/0.88), PD (0.86/1.19/1.39), which represent a significant improvement over these measures when disapproved subjects are included. Travel subjects' results show that cortical thickness reliability is more sensitive to site differences than the cortical surface area and volume. To determine the effect of visual inspection on sample size required for studies of MRI-derived cortical thickness, the number of subjects required to show group differences was calculated. Significant differences observed across imaging sites, between visually approved/disapproved subjects, and across regions with different sizes suggest that these measures should be used with caution.

Relationship between obesity and depression: characteristics and treatment outcomes with antidepressant medication.

OBJECTIVE: Obesity and major depressive disorder often co-occur. However, differences between obese and normal-weight depressed patients and the moderating effect of obesity on antidepressant treatment outcome are not well studied. METHODS: Adults (n = 662) with major depressive disorder in the Combining Medications to Enhance Depression Outcomes study were randomized to treatment with escitalopram plus placebo, bupropion plus escitalopram, or venlafaxine plus mirtazapine for a 12-week primary treatment phase and 16-week follow-up. Body mass index (BMI) was calculated at baseline and categorized according to World Health Organization criteria: normal or low weight (NW), overweight, Obese I and Obese II+. A repeated-effects model, unadjusted and adjusted for baseline variables, assessed outcomes. RESULTS: Obesity was common (46.2%), only 25.5% were NW. Higher BMI was associated with greater medical illness (p < .001), social phobia (p = .003), and bulimia (p = .026). Lower BMI was associated with more frequent post-traumatic stress disorder (p = .002) and drug abuse (p < .001). Treatment outcomes did not differ including Week 12 remission rates (NW 36%, overweight 40%, Obese I 43%, Obese II+ 37%; p = .69). Lower BMI was associated with more frequent (p = .024 [unadjusted] and .053 [adjusted]) and more severe (p = .008 [unadjusted] and .053 [adjusted]) adverse effects. CONCLUSIONS: BMI was related to clinical presentation and prevalence of comorbidities, but not antidepressant outcomes. Lower BMI classes had more psychiatric comorbidities, potentially obscuring the relationship between BMI and antidepressant effects. Trial Registration ClinicalTrials.gov identifier: NCT00590863.

The Bidirectional Relationship of Depression and Inflammation: Double Trouble.

Depression represents the number one cause of disability worldwide and is often fatal. Inflammatory processes have been implicated in the pathophysiology of depression. It is now well established that dysregulation of both the innate and adaptive immune systems occur in depressed patients and hinder favorable prognosis, including antidepressant responses. In this review, we describe how the immune system regulates mood and the potential causes of the dysregulated inflammatory responses in depressed patients. However, the proportion of never-treated major depressive disorder (MDD) patients who exhibit inflammation remains to be clarified, as the heterogeneity in inflammation findings may stem in part from examining MDD patients with varied interventions. Inflammation is likely a critical disease modifier, promoting susceptibility to depression. Controlling inflammation might provide an overall therapeutic benefit, regardless of whether it is secondary to early life trauma, a more acute stress response, microbiome alterations, a genetic diathesis, or a combination of these and other factors.

Kynurenine pathway metabolites selectively associate with impaired associative memory function in depression.

Activation of the kynurenine pathway (KP), an important downstream effect of inflammation, is a driver of depression and neurodegeneration. Damage from the end product of KP activation, quinolinic acid, may be responsible specifically for impairment in hippocampally mediated memory function, among its effects. We hypothesized that associative memory - the ability to recall relationships between items - would be sensitive to KP activation because it is heavily dependent on the hippocampus. We tested a sample of N â€‹= â€‹80 adults with unmedicated depression using a face-name task which assesses the ability to recognize, as well as to recall correct pairings, of faces and names. Plasma samples were analyzed for KP metabolites - tryptophan (TRP), kynurenine (KYN), quinolinic acid (QUIN) and kynurenic acid (KYNA). Using linear models we examined whether the KYN/TRP and QUIN/KYNA ratios predicted performance of recognition memory and associative memory, accounting for item type and the number of learning exposures to items (1 vs. 3). We found that for rearranged items viewed three times, associative memory performance was inversely related to the QUIN/KYNA ratio (p â€‹= â€‹0.01, p â€‹= â€‹0.001 adjusted for age, gender and race/ethnicity). Recognition memory was not associated with KP activation. The results support our hypothesis that KP activation most sensitively impacts hippocampally mediated memory function.

Inflammation and Depression: the Neuroimmune Connection.

PURPOSE OF REVIEW: To update clinicians on the field of psychoneuroimmunology with respect to depression. RECENT FINDINGS: A significant subset of patients with depression may have illness to which dysfunction of the immune system, typically viewed as inflammation, makes a significant contribution. Normal sickness behavior may sometimes manifest abnormally as mood episodes. Early evidence suggests that interventions that reduce inflammation may improve symptoms in these patients and that they may also respond differently to standard pharmacotherapy. SUMMARY: Treatment of patients with depression should consider inflammatory status, as part of medical and psychiatric health. Recommendations for healthy diet and exercise are important for all patients but may be more important for patients who have clinical evidence of inflammation. Methods of identifying patients in the inflammatory subgroup and treating them with therapy targeted specifically at the immune system are still experimental but likely to impact care for depression in the future.

Pilot investigation into the sickness response to influenza vaccination in adults: Effect of depression and anxiety.

OBJECTIVE: To determine whether depressed or anxious patients experience greater affective change than mentally healthy individuals following influenza vaccination. METHODS: Participants (n=112) completed the Positive and Negative Affect Schedule (PANAS) before influenza vaccination and 1-2days post-vaccination (M=32.3h). Pre- and post-vaccination PANAS scores were compared using two-tailed, paired-samples t-tests. Change in positive affect between participants with depression or anxiety and those without was compared using two-way ANOVA. Follow up positive affect was further examined using multiple linear regression. RESULTS: Positive affect decreased following vaccination (M=2.18, 95% CI [1.07, 3.29], t(111)=3.89, p<0.001) for all participants and was more pronounced for those with anxiety or depression (F(1, 110)=7.51, p=0.009). Similarly, predicted follow up affect score was higher for those without a mental health conditions (ß=3.67, 95% CI [1.18, 6.16], t(103)=2.92, p=0.004). CONCLUSIONS: These data suggest that influenza vaccine has a greater effect on affect in patients with depression and anxiety than in mentally healthy individuals. This effect was focused on positive affect, suggesting that influenza vaccine induced inflammation may be best suited to examine alterations in positive affect and positive valence systems.

Exercise is an effective treatment for positive valence symptoms in major depression.

INTRODUCTION: Measurement of symptoms domains and their response to treatment in relative isolation from diagnosed mental disorders has gained new urgency, as reflected by the National Institute of Mental Health's introduction of the Research Domain Criteria (RDoC). The Snaith Hamilton Pleasure Scale (SHAPS) and the Motivation and Energy Inventory (MEI) are two scales measuring positive valence symptoms. We evaluated the effect of exercise on positive valence symptoms of Major Depressive Disorder (MDD). METHODS: Subjects in the Treatment with Exercise Augmentation for Depression (TREAD) study completed self-reported SHAPS and MEI during 12 weeks of exercise augmentation for depression. We evaluated the effect of exercise on SHAPS and MEI scores, and whether the changes were related to overall MDD severity measured with the Quick Inventory of Depression Symptomatology (QIDS). RESULTS: SHAPS and MEI scores significantly improved with exercise. MEI score change had larger effect size and greater correlation with change in QIDS score. MEI also showed significant moderator and mediator effects of exercise in MDD. LIMITATIONS: Generalizability to other treatments is limited. This study lacked other bio-behavioral markers that would enhance understanding of the relationship of RDoC and the measures used. CONCLUSIONS: Positive valence symptoms improve with exercise treatment for depression, and this change correlates well with overall outcome. Motivation and energy may be more clinically relevant to outcome of exercise treatment than anhedonia.

Neuroticism and Individual Differences in Neural Function in Unmedicated Major Depression: Findings from the EMBARC Study.

BACKGROUND: Personality dysfunction represents one of the only predictors of differential response between active treatments for depression to have replicated. In this study, we examine whether depressed patients with higher neuroticism scores, a marker of personality dysfunction, show differences versus depressed patients with lower scores in the functioning of two brain regions associated with treatment response, the anterior cingulate and anterior insula cortices. METHODS: Functional magnetic resonance imaging data during an emotional Stroop task were collected from 135 adults diagnosed with major depressive disorder at four academic medical centers participating in the Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) study. Secondary analyses were conducted including a sample of 28 healthy individuals. RESULTS: In whole-brain analyses, higher neuroticism among depressed adults was associated with increased activity in and connectivity with the right anterior insula cortex to incongruent compared to congruent emotional stimuli (ks>281, ps<0.05 FWE corrected), covarying for concurrent psychiatric distress. We also observed an unanticipated relationship between neuroticism and reduced activity in the precuneus (k=269, p<0.05 FWE corrected). Exploratory analyses including healthy individuals suggested that associations between neuroticism and brain function may be nonlinear over the full range of neuroticism scores. CONCLUSIONS: This study provides convergent evidence for the importance of the right anterior insula cortex as a brain-based marker of clinically meaningful individual differences in neuroticism among adults with depression. This is a critical next step in linking personality dysfunction, a replicated clinical predictor of differential antidepressant treatment response, with differences in underlying brain function.

Performance of depression rating scales in patients with chronic kidney disease: an item response theory-based analysis.

OBJECTIVE: Because there is overlap between somatic symptoms of depression and symptoms of chronic kidney disease (CKD), it is unclear if self-reported depression rating scales can be used accurately in predialysis CKD patients, especially if CKD and other comorbidities are symptomatic. We assessed the performance of two depression scales - the Beck Depression Inventory (BDI) and the Quick Inventory of Depression Symptomatology (QIDS-SR16) - by CKD stage, diagnosis of diabetes and total medical comorbidity burden - using item response theory (IRT) in a sample of 272 predialysis CKD patients. METHODS: We performed IRT by low versus high CKD stage, diabetes versus no diabetes and high (>3 diagnoses) versus low medical comorbidity burden. RESULTS: IRT models of each rating scale were affected in a limited way by CKD stage, diabetes and medical comorbidity burden. Sleep disturbances on the QIDS-SR16 were more discriminatory for depression in diabetics and those with high comorbidity burden. Pessimism and guilt from the BDI compared to QIDS-SR16 were more discriminatory of depression in the high CKD and high comorbidity groups, respectively. CONCLUSIONS: Overall item differences were modest, and chronic disease severity by CKD stage, diabetes mellitus or other medical comorbidities did not appreciably contribute to differences in scale performance.

Demographic and clinical characteristics of current comorbid psychiatric disorders in a randomized clinical trial for adults with stimulant use disorders.

This study aimed to determine if current comorbid psychiatric disorders differ in adults with cocaine use disorder, other stimulant (primarily methamphetamine) use disorder, or both, and identify demographic and clinical characteristics in those with increasing numbers of comorbid disorders. Baseline data from a randomized controlled trial beginning in residential settings (N=302) was used. Mood disorders were present in 33.6%, and anxiety disorders in 29.6%, with no differences among stimulant use disorder groups. Panic disorder was more frequently present with other stimulant use disorder. Those with two or more comorbid psychiatric disorders were more often female, White, had more symptoms of depression, greater propensity and risk for suicidal behavior, lower functioning in psychiatric and family domains, lower quality of life, more symptoms with stimulant abstinence and greater likelihood of marijuana dependence. Those with one or more comorbid disorders had more medical disorder burden, lower cognitive and physical functioning, greater pain, and higher rates of other drug dependence. With current comorbid psychiatric disorders, the morbidity of stimulant use disorders increases. Use of validated assessments near treatment entry, and a treatment plan targeting not only substance use and comorbid psychiatric disorders, but functional impairments, medical disorder burden and pain, may be useful.

Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design.

UNLABELLED: Remission rates for Major Depressive Disorder (MDD) are low and unpredictable for any given antidepressant. No biological or clinical marker has demonstrated sufficient ability to match individuals to efficacious treatment. Biosignatures developed from the systematic exploration of multiple biological markers, which optimize treatment selection for individuals (moderators) and provide early indication of ultimate treatment response (mediators) are needed. The rationale and design of a multi-site, placebo-controlled randomized clinical trial of sertraline examining moderators and mediators of treatment response is described. The target sample is 300 participants with early onset (≤30 years) recurrent MDD. Non-responders to an 8-week trial are switched double blind to either bupropion (for sertraline non-responders) or sertraline (for placebo non-responders) for an additional 8 weeks. Clinical moderators include anxious depression, early trauma, gender, melancholic and atypical depression, anger attacks, Axis II disorder, hypersomnia/fatigue, and chronicity of depression. Biological moderator and mediators include cerebral cortical thickness, task-based fMRI (reward and emotion conflict), resting connectivity, diffusion tensor imaging (DTI), arterial spin labeling (ASL), electroencephalograpy (EEG), cortical evoked potentials, and behavioral/cognitive tasks evaluated at baseline and week 1, except DTI, assessed only at baseline. The study is designed to standardize assessment of biomarkers across multiple sites as well as institute replicable quality control methods, and to use advanced data analytic methods to integrate these markers. A Differential Depression Treatment Response Index (DTRI) will be developed. The data, including biological samples (DNA, RNA, and plasma collected before and during treatment), will become available in a public scientific repository. CLINICAL TRIAL REGISTRATION: Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC). Identifier: NCT01407094. URL: http://clinicaltrials.gov/show/NCT01407094.

Accounting for Dynamic Fluctuations across Time when Examining fMRI Test-Retest Reliability: Analysis of a Reward Paradigm in the EMBARC Study.

Longitudinal investigation of the neural correlates of reward processing in depression may represent an important step in defining effective biomarkers for antidepressant treatment outcome prediction, but the reliability of reward-related activation is not well understood. Thirty-seven healthy control participants were scanned using fMRI while performing a reward-related guessing task on two occasions, approximately one week apart. Two main contrasts were examined: right ventral striatum (VS) activation fMRI BOLD signal related to signed prediction errors (PE) and reward expectancy (RE). We also examined bilateral visual cortex activation coupled to outcome anticipation. Significant VS PE-related activity was observed at the first testing session, but at the second testing session, VS PE-related activation was significantly reduced. Conversely, significant VS RE-related activity was observed at time 2 but not time 1. Increases in VS RE-related activity from time 1 to time 2 were significantly associated with decreases in VS PE-related activity from time 1 to time 2 across participants. Intraclass correlations (ICCs) in VS were very low. By contrast, visual cortex activation had much larger ICCs, particularly in individuals with high quality data. Dynamic changes in brain activation are widely predicted, and failure to account for these changes could lead to inaccurate evaluations of the reliability of functional MRI signals. Conventional measures of reliability cannot distinguish between changes specified by algorithmic models of neural function and noisy signal. Here, we provide evidence for the former possibility: reward-related VS activations follow the pattern predicted by temporal difference models of reward learning but have low ICCs.

Moderation of the Relationship Between Reward Expectancy and Prediction Error-Related Ventral Striatal Reactivity by Anhedonia in Unmedicated Major Depressive Disorder: Findings From the EMBARC Study.

OBJECTIVE: Anhedonia, disrupted reward processing, is a core symptom of major depressive disorder. Recent findings demonstrate altered reward-related ventral striatal reactivity in depressed individuals, but the extent to which this is specific to anhedonia remains poorly understood. The authors examined the effect of anhedonia on reward expectancy (expected outcome value) and prediction error- (discrepancy between expected and actual outcome) related ventral striatal reactivity, as well as the relationship between these measures. METHOD: A total of 148 unmedicated individuals with major depressive disorder and 31 healthy comparison individuals recruited for the multisite EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study underwent functional MRI during a well-validated reward task. Region of interest and whole-brain data were examined in the first- (N=78) and second- (N=70) recruited cohorts, as well as the total sample, of depressed individuals, and in healthy individuals. RESULTS: Healthy, but not depressed, individuals showed a significant inverse relationship between reward expectancy and prediction error-related right ventral striatal reactivity. Across all participants, and in depressed individuals only, greater anhedonia severity was associated with a reduced reward expectancy-prediction error inverse relationship, even after controlling for other symptoms. CONCLUSIONS: The normal reward expectancy and prediction error-related ventral striatal reactivity inverse relationship concords with conditioning models, predicting a shift in ventral striatal responding from reward outcomes to reward cues. This study shows, for the first time, an absence of this relationship in two cohorts of unmedicated depressed individuals and a moderation of this relationship by anhedonia, suggesting reduced reward-contingency learning with greater anhedonia. These findings help elucidate neural mechanisms of anhedonia, as a step toward identifying potential biosignatures of treatment response.

Adherence to antidepressant combinations and monotherapy for major depressive disorder: a CO-MED report of measurement-based care.

BACKGROUND: Non-adherence to antidepressant treatment is not routinely measured in practical clinical trials. It has not been related to outcomes in a large sample of adults with chronic and/or recurrent major depressive disorder (MDD) or any sample treated with antidepressant combinations. METHODS: Adult outpatients with chronic and/or recurrent MDD were randomized to 12 weeks of treatment with bupropion-SR plus escitalopram, venlafaxine-XR plus mirtazapine, or escitalopram plus placebo. We compared non-adherence (the frequency with which daily medications were not taken) and specifically the frequency of temporarily stopping and/or skipping medication, or reducing or increasing the dose across treatments in 567 participants using a self-report questionnaire collected at each visit. We tested the association between non-adherence, and both treatment type and outcomes. RESULTS: A non-adherence rate under 10% was reported by 77.9%, 70.9%, and 71.6% of participants during weeks 1-4, 5-12, and 1-12, respectively. Antidepressant combinations were associated with a higher non-adherence rate than monotherapy during weeks 1-4 and 1-12. During weeks 1-4, 24.1% stopped/skipped doses and 6.1% reduced the dose. During weeks 5-12, 34.7% stopped/skipped doses and 9.4% reduced the dose. Across 12 weeks, 43.2% stopped/skipped doses, and 12.9% reduced the dose. Stopping/skipping doses during all time frames and dose decreases during weeks 1-12 occurred most frequently with combination treatments. Non-adherence was unrelated to symptom remission, response, or symptom change. CONCLUSIONS: With closely monitored treatment, non-adherence is low and unrelated to depressive symptom outcome. Nonadherence is highest with antidepressant combinations. Specific non-adherent events are most often sporadic.

Do menopausal status and use of hormone therapy affect antidepressant treatment response? Findings from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study.

BACKGROUND: Menopausal status and use of hormonal contraception or menopausal hormone therapy (HT) may affect treatment response to selective serotonin reuptake inhibitors (SSRIs). This report evaluates whether menopausal status and use of hormonal contraceptives or menopausal HT affect outcome in women treated with citalopram. METHODS: In the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, 896 premenopausal and 544 postmenopausal women were treated with citalopram for 12-14 weeks. Baseline demographic and clinical characteristics were used in adjusted analysis of the effect of menopausal status and use of hormonal contraceptives or menopausal HT on outcomes. Remission was defined as final Hamilton Rating Scale for Depression-17 (HRSD(17)) ≤7 or Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR(16)) score ≤5 and response as ≥50% decrease from the baseline QIDS-SR(16) score. RESULTS: Premenopausal and postmenopausal women differed in multiple clinical and demographic baseline variables but did not differ in response or remission rates. Premenopausal women taking hormonal contraceptives had significantly greater unadjusted remission rates on the HRSD(17) and the QIDS-SR(16) than women not taking contraception. Response and remission rates were not different between postmenopausal women taking vs. not taking HT. Adjusted results showed no significant difference in any outcome measure across menopause status in women who were not taking contraception/HT. There were no significant differences in adjusted results across HT status in premenopausal or postmenopausal women. CONCLUSIONS: In this study, citalopram treatment outcome was not affected by menopausal status. Hormonal contraceptives and HT also did not affect probability of good outcome.

Biomarkers and the future of treatment for depression.

Doctors have a variety of drug options for treatment of depression. But there is currently no way to determine which antidepressant will work best for a given patient, which means that many people continue to suffer while their doctors try a series of medications. As Marisa Toups and Madhukar H. Trivedi write, however, many researchers have focused their efforts on developing biomarkers for depression-tests for aspects of a patient's physiology that can predict a clinical outcome. In the future, doctors may be able to screen patients to determine which treatment options will work for them, reducing the time a patient must continue to live with the effects of depression.