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Major depressive disorder is associated with aberrant resting-state functional connectivity across multiple brain networks supporting emotion processing, executive function, and reward processing. The purpose of this study was to determine whether patterns of resting-state connectivity between brain regions predict differential outcome to antidepressant medication (sertraline) compared with placebo.Participants in the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study underwent structural and resting-state functional MRI at baseline. Participants were then randomly assigned to receive either sertraline or placebo treatment for 8 weeks (N=279). A region of interest-based approach was utilized to compute functional connectivity between brain regions. Linear mixed-model intent-to-treat analyses were used to identify brain regions that moderated (i.e., differentially predicted) outcomes between the sertraline and placebo arms.Prediction of response to sertraline involved several within- and between-network connectivity patterns. In general, higher connectivity within the default mode network predicted better outcomes specifically for sertraline, as did greater between-network connectivity of the default mode and executive control networks. In contrast, both placebo and sertraline outcomes were predicted (in opposite directions) by between-network hippocampal connectivity.This study identified specific functional network-based moderators of treatment outcome involving brain networks known to be affected by major depression. Specifically, functional connectivity patterns of brain regions between and within networks appear to play an important role in identifying a favorable response for a drug treatment for major depressive disorder.

Background Our lab has previously found that structural integrity in tracts from the raphe nucleus (RN) to the amygdala, measured by fractional anisotropy (FA), predicts remission to selective serotonin reuptake inhibitors (SSRIs) in major depressive disorder (MDD). This could potentially serve as a biomarker for remission that can guide clinical decision-making. To enhance repeatability and reproducibility, we replicated our study in a larger, more representative multi-site sample. Methods 64 direction DTI was collected in 144 medication-free patients with MDD from the Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) study. We performed probabilistic tractography between the RN and bilateral amygdala and hippocampus and calculated weighted FA in these tracts. Patients were treated with either sertraline or placebo, and their change in Hamilton Depression Rating Scale (HDRS) score reported. Pretreatment weighted FA was compared between remitters and nonremitters, and correlation between FA and percent change in HDRS score was assessed. Exploratory moderator and voxel analyses were also performed. Results Contrary to our hypotheses, FA was greater in nonremitters than in remitters in RN-left and right amygdala tracts (p = 0.02 and 0.01, respectively). Pretreatment FA between the raphe and left amygdala correlated with greater, not reduced, HDRS (r = 0.18, p = 0.04). This finding was found to be greater in the placebo group. Moderator and voxel analyses yielded no significant findings. Conclusions We found greater FA in nonremitters between the RN and amygdala than in remitters, and a correlation between FA and symptom worsening, particularly with placebo. These findings may help reveal more about the nature of MDD, as well as guide research methods involving placebo response.

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. 222 unmedicated adults with MDD randomized to receive sertraline (n=110) or placebo (n=112) in the EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study completed demographic and clinical assessments, and pre-treatment 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 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 pre-treatment 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. Pre-treatment 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. Trial Registration: NCT01407094; http://clinicaltrials.gov/show/NCT01407094

BACKGROUND: Despite the fact that higher levels of anxiety and anhedonia in Major Depressive Disorder (MDD) are linked to poorer treatment outcomes, mechanisms contributing to these clinical presentations remain unclear. Neuroticism, impaired cognitive control, and blunted reward learning may be critical processes involved in MDD and may help to explain symptoms of anxiety and anhedonia. METHODS: Using baseline data from patients with early-onset MDD (N=296) in the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) trial, we conducted a path analysis to model relationships between neuroticism, cognitive control, and reward learning to levels of anxiety and anhedonia. RESULTS: Neuroticism was positively associated with both anhedonia (standardized coefficient = 0.26, p < .001) and anxiety (standardized coefficient = 0.40, p < .001). Cognitive control was negatively associated with anxiety (standardized coefficient = −0.18, p < .05). Reward learning was not significantly associated with either anxiety or anhedonia. LIMITATIONS: Extraneous variables not included in the model may have even more influence in explaining symptoms of anxiety and anhedonia. Restricted range in these variables may have attenuated some of the hypothesized relationships. Most important, because this was a cross-sectional analysis in a currently depressed sample, we cannot draw any causal conclusions without experimental and longitudinal data. CONCLUSIONS: These cross-sectional findings suggest that neuroticism may contribute to anxiety and anhedonia in patients with early onset and either chronic or recurrent MDD, while enhanced cognitive control may protect against anxiety.

BackgroundMajor depressive disorder (MDD) is a highly heterogeneous condition in terms of symptom presentation and, likely, underlying pathophysiology. Accordingly, it is possible that only certain individuals with MDD are well-suited to antidepressants. A potentially fruitful approach to parsing this heterogeneity is to focus on promising endophenotypes of depression, such as neuroticism, anhedonia, and cognitive control deficits.MethodsWithin an 8-week multisite trial of sertraline v. placebo for depressed adults (n = 216), we examined whether the combination of machine learning with a Personalized Advantage Index (PAI) can generate individualized treatment recommendations on the basis of endophenotype profiles coupled with clinical and demographic characteristics.ResultsFive pre-treatment variables moderated treatment response. Higher depression severity and neuroticism, older age, less impairment in cognitive control, and being employed were each associated with better outcomes to sertraline than placebo. Across 1000 iterations of a 10-fold cross-validation, the PAI model predicted that 31% of the sample would exhibit a clinically meaningful advantage [post-treatment Hamilton Rating Scale for Depression (HRSD) difference ⩾3] with sertraline relative to placebo. Although there were no overall outcome differences between treatment groups (d = 0.15), those identified as optimally suited to sertraline at pre-treatment had better week 8 HRSD scores if randomized to sertraline (10.7) than placebo (14.7) (d = 0.58).ConclusionsA subset of MDD patients optimally suited to sertraline can be identified on the basis of pre-treatment characteristics. This model must be tested prospectively before it can be used to inform treatment selection. However, findings demonstrate the potential to improve individual outcomes through algorithm-guided treatment recommendations.

To date, there are no biomarkers for major depressive disorder (MDD) treatment response in clinical use. Such biomarkers could allow for individualized treatment selection, reducing time spent on ineffective treatments and the burden of MDD. In search of such a biomarker, multisite pretreatment and early-treatment (1 week into treatment) structural magnetic resonance (MR) images were acquired from 184 patients with MDD randomized to an 8-week trial of the selective serotonin reuptake inhibitor (SSRI) sertraline or placebo. This study represents a large, multisite, placebo-controlled effort to examine the association between pretreatment differences or early-treatment changes in cortical thickness and treatment-specific outcomes. For standardization, a novel, robust site harmonization procedure was applied to structural measures in a priori regions (rostral and caudal anterior cingulate, lateral orbitofrontal, rostral middle frontal, and hippocampus), chosen based on previously published reports. Pretreatment cortical thickness or volume did not significantly associate with SSRI response. Thickening of the rostral anterior cingulate cortex in the first week of treatment was associated with better 8-week responses to SSRI (p = 0.010). These findings indicate that frontal lobe structural alterations in the first week of treatment may be associated with long-term treatment efficacy. While these associational findings may help to elucidate the specific neural targets of SSRIs, the predictive accuracy of pretreatment or early-treatment structural alterations in classifying treatment remitters from nonremitters was limited to 63.9%. Therefore, in this large sample of adults with MDD, structural MR imaging measures were not found to be clinically translatable biomarkers of treatment response to SSRI or placebo.

Ketamine, an N-methyl-d-aspartate glutamate receptor antagonist, has demonstrated a rapid-onset antidepressant effect in patients with treatment-resistant depression. This study evaluated the efficacy of twice- and thrice-weekly intravenous administration of ketamine in sustaining initial antidepressant effects in patients with treatment-resistant depression.In a multicenter, double-blind study, adults (ages 18-64 years) with treatment-resistant depression were randomized to receive either intravenous ketamine (0.5 mg/kg of body weight) or intravenous placebo, administered over 40 minutes, either two or three times weekly, for up to 4 weeks. Patients who discontinued double-blind treatment after at least 2 weeks for lack of efficacy could enter an optional 2-week open-label phase to receive ketamine with the same frequency as in the double-blind phase. The primary outcome measure was change from baseline to day 15 in total score on the Montgomery-Åsberg Depression Rating Scale (MADRS).In total, 67 (45 women) of 68 randomized patients received treatment. In the twice-weekly dosing groups, the mean change in MADRS score at day 15 was -18.4 (SD=12.0) for ketamine and -5.7 (SD=10.2) for placebo; in the thrice-weekly groups, it was -17.7 (SD=7.3) for ketamine and -3.1 (SD=5.7) for placebo. Similar observations were noted for ketamine during the open-label phase (twice-weekly, -12.2 [SD=12.8] on day 4; thrice-weekly, -14.0 [SD=12.5] on day 5). Both regimens were generally well tolerated. Headache, anxiety, dissociation, nausea, and dizziness were the most common (≥20%) treatment-emergent adverse events. Dissociative symptoms occurred transiently and attenuated with repeated dosing.Twice-weekly and thrice-weekly administration of ketamine at 0.5 mg/kg similarly maintained antidepressant efficacy over 15 days.

This study aimed to identify biomarkers of major depressive disorder (MDD), by relating neuroimage-derived measures to binary (MDD/control), ordinal (severe MDD/mild MDD/control), or continuous (depression severity) outcomes. To address MDD heterogeneity, factors (severity of psychic depression, motivation, anxiety, psychosis and sleep disturbance) were also used as outcomes. A multi-site, multimodal imaging (diffusion MRI, dMRI, and structural MRI, sMRI) cohort (52 controls and 147 MDD patients) and several modeling techniques- penalized logistic regression (PLR), random forest (RF) and support vector machine (SVM)- were used. An additional cohort (25 controls and 83 MDD patients) was used for validation. The optimally performing classifier (SVM) had a 26.0% misclassification rate (binary), 52.2±1.69% accuracy (ordinal) and r =0.36 correlation coefficient (p-value

The current study aimed to characterize the multifaceted nature of anxiety in patients with major depression by evaluating distinct anxiety factors. We then related these derived anxiety factors to performance on a Flanker Task of cognitive control, in order to further validate these factors. Data were collected from 195 patients with nonpsychotic chronic or recurrent major depression or dysthymic disorder. At baseline, participants completed self-report measures of anxiety, depression, and other related symptoms (mania, suicidality) and clinicians administered a structured diagnostic interview and the Hamilton Rating Scale for Depression, including anxiety/somatization items. Four discrete factors (State Anxiety, Panic, Neuroticism/Worry, and Restlessness/Agitation) emerged, with high degrees of internal consistency. Discriminant and convergent validity analyses also yielded findings in the expected direction. Furthermore, the neuroticism/worry factor was associated with Flanker Task interference, such that individuals higher on neuroticism/worry responded more incorrectly (yet faster) to incongruent vs. congruent trials whereas individuals higher on the fear/panic factor responded more slowly, with no accuracy effect, to the Flanker Task stimuli. These results parse anxiety into four distinct factors that encompass physiological, psychological, and cognitive components of anxiety. While state anxiety, panic and neuroticism/worry are related to existing measures of anxiety, the Restlessness/Agitation factor appears to be a unique measure of general anxious arousal. Furthermore, two factors were independently validated through the Flanker Task. These results suggest that these anxiety domains have distinct behavioral profiles and could have differential responses to distinct treatments.

Background: One in three clinical trial patients with major depressive disorder report symptomatic improvement with placebo. Strategies to mitigate the effect of placebo responses have focused on modifying study design with variable success. Identifying and excluding or controlling for individuals with a high likelihood of responding to placebo may improve clinical trial efficiency and avoid unnecessary medication trials. Methods: Participants included those assigned to the placebo arm (n = 141) of the Establishing Moderators and Biosignatures for Antidepressant Response in Clinical Care (EMBARC) trial. The elastic net was used to evaluate 283 baseline clinical, behavioral, imaging, and electrophysiological variables to identify the most robust yet parsimonious features that predicted depression severity at the end of the double-blind 8-week trial. Variables retained in at least 50% of the 100 imputed data sets were used in a Bayesian multiple linear regression model to simultaneously predict the probabilities of response and remission. Results: Lower baseline depression severity, younger age, absence of melancholic features or history of physical abuse, less anxious arousal, less anhedonia, less neuroticism, and higher average theta current density in the rostral anterior cingulate predicted a higher likelihood of improvement with placebo. The Bayesian model predicted remission and response with an actionable degree of accuracy (both AUC > 0.73). An interactive calculator was developed predicting the likelihood of placebo response at the individual level. Conclusion: Easy-to-measure clinical, behavioral, and electrophysiological assessments can be used to identify placebo responders with a high degree of accuracy. Development of this calculator based on these findings can be used to identify potential placebo responders.

Introduction Previous investigations of test-retest reliability of cerebral blood flow (CBF) at rest measured with pseudo-continuous Arterial Spin Labeling (pCASL) demonstrated good reliability, but are limited by the use of similar scanner platforms. In the present study we examined test-retest reliability of CBF in regions implicated in emotion and the default mode network. Material and methods We measured absolute and relative CBF at rest in thirty-one healthy subjects in two scan sessions, one week apart, at four different sites and three different scan platforms. We derived CBF from pCASL images with an automated algorithm and calculated intra-class correlation coefficients (ICCs) across sessions for regions of interest. In addition, we investigated site effects. Results For both absolute and relative CBF measures, ICCs were good to excellent (i.e. > 0.6) in most brain regions, with highest values observed for the subgenual anterior cingulate cortex and ventral striatum. A leave-one-site-out cross validation analysis did not show a significant effect for site on whole brain CBF and there was no proportional bias across sites. However, a significant site effect was present in the repeated measures ANOVA. Conclusions The high test-retest reliability of CBF measured with pCASL in a range of brain regions implicated in emotion and salience processing, emotion regulation, and the default mode network, which have been previously linked to depression symptomatology supports its use in studies that aim to identify neuroimaging biomarkers of treatment response.

Major depressive disorder (MDD) is a serious, heterogeneous disorder accompanied by brain-related changes, many of which are still to be discovered or refined. Arterial spin labeling (ASL) is a neuroimaging technique used to measure cerebral blood flow (CBF; perfusion) to understand brain function and detect differences among groups. CBF differences have been detected in MDD, and may reveal biosignatures of disease-state. The current work aimed to discover and replicate differences in CBF between MDD participants and healthy controls (HC) as part of the EMBARC study. Participants underwent neuroimaging at baseline, prior to starting study medication, to investigate biosignatures in MDD. Relative CBF (rCBF) was calculated and compared between 106 MDD and 36 HC EMBARC participants (whole-brain Discovery); and 58 MDD EMBARC participants and 58 HC from the DLBS study (region-of-interest Replication). Both analyses revealed reduced rCBF in the right parahippocampus, thalamus, fusiform and middle temporal gyri, as well as the left and right insula, for those with MDD relative to HC. Both samples also revealed increased rCBF in MDD relative to HC in both the left and right inferior parietal lobule, including the supramarginal and angular gyri. Cingulate and prefrontal regions did not fully replicate. Lastly, significant associations were detected between rCBF in replicated regions and clinical measures of MDD chronicity. These results (1) provide reliable evidence for ASL in detecting differences in perfusion for multiple brain regions thought to be important in MDD, and (2) highlight the potential role of using perfusion as a biosignature of MDD.

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 authors sought to identify baseline clinical and sociodemographic characteristics associated with work productivity in depressed outpatients and to assess the effect of treatment on work productivity.Employed depressed outpatients 18-75 years old who completed the Work Productivity and Activity Impairment scale (N=1,928) were treated with citalopram (20-40 mg/day) in the Sequenced Treatment Alternatives to Relieve Depression study. For patients who did not remit after an initial adequate antidepressant trial (level 1), either a switch to sertraline, sustained-release bupropion, or extended-release venlafaxine or an augmentation with sustained-release bupropion or buspirone was provided (level 2). Participants' clinical and demographic characteristics and treatment outcomes were analyzed for associations with baseline work productivity and change in productivity over time.Education, baseline depression severity, and melancholic, atypical, and recurrent depression subtypes were all independently associated with lower benefit to work productivity domains. During level 1 treatment, work productivity in several domains improved with reductions in depressive symptom severity. However, these findings did not hold true for level 2 outcomes; there was no significant association between treatment response and reduction in work impairment. Results were largely confirmed when multiple imputations were employed to address missing data. During this additional analysis, an association was also observed between greater impairment in work productivity and higher levels of anxious depression.Patients with clinically significant reductions in symptom severity during initial treatment were more likely than nonresponders to experience significant improvements in work productivity. In contrast, patients who achieved symptom remission in second-step treatment continued to have impairment at work. Patients who have demonstrated some degree of treatment resistance are more prone to persistent impairment in occupational productivity, implying a need for additional, possibly novel, treatments.

Background Major depressive disorder (MDD) and anxiety disorders are highly co-morbid. Research has shown conflicting evidence for white matter alteration and amygdala volume reduction in mood and anxiety disorders. To date, no studies have examined differences in structural connectivity between anxious depressed and non-anxious depressed individuals. This study compared fractional anisotropy (FA) and density of selected white matter tracts and amygdala volume between anxious depressed and non-anxious depressed individuals. Methods 64- direction DTI and T1 scans were collected from 110 unmedicated subjects with MDD, 39 of whom had a co-morbid anxiety disorder diagnosis. Region of interest (ROI) and tractography methods were performed to calculate amygdala volume and FA in the uncinate fasciculus, respectively. Diffusion connectometry was performed to identify whole brain group differences in white matter health. Correlations were computed between biological and clinical measures. Results Tractography and ROI analyses showed no significant differences between bilateral FA values or bilateral amygdala volumes when comparing the anxious depressed and non-anxious depressed groups. The diffusion connectometry analysis showed no significant differences in anisotropy between the groups. Furthermore, there were no significant relationships between MRI-based and clinical measures. Conclusion The lack of group differences could indicate that structural connectivity and amygdalae volumes of those with anxious-depression are not significantly altered by a co-morbid anxiety disorder. Improving understanding of anxiety co-morbid with MDD would facilitate development of treatments that more accurately target the underlying networks.

Major depressive disorder (MDD) affects one in five patients with Chronic Kidney Disease (CKD) and is an independent risk factor for hospitalization and death before and after dialysis initiation. However, it remains an under-recognized and under-treated problem, in part due to the lack of well-controlled studies that support or refute the efficacy and safety of antidepressant medications in CKD patients. Major trials of antidepressant treatment excluded patients with stages 3–5 CKD, precisely those at higher risk for both depression and increased mortality. The Chronic Kidney Disease Antidepressant Sertraline Trial (CAST) is a randomized, double-blinded, placebo-controlled trial of sertraline, a selective serotonin reuptake inhibitor (SSRI). It will enroll 200 adults with stages 3–5 CKD and MDD excluding kidney transplant and chronic dialysis patients. Sertraline will be administered at an initial dose of 50 mg once daily or matching placebo followed by a dose escalation strategy consisting of 50 mg increments at 2 weeks intervals (as tolerated) to a maximum dose of 200 mg. The primary outcome is improvement in depression symptom severity measured by the Quick Inventory of Depressive Symptomatology scale. Secondary outcomes include safety endpoints and improvement in quality of life. Changes in cognitive function, adherence to medications, nutritional status, inflammation, and platelet function will be explored as potential mechanisms by which depression may mediate poor outcomes. We discuss the rationale and design of the CAST study, the largest placebo-controlled trial aimed to establish safety and efficacy of a SSRI in the acute phase treatment of CKD patients with MDD.

Growing evidence suggests that loudness dependency of auditory evoked potentials (LDAEP) and resting EEG alpha and theta may be biological markers for predicting response to antidepressants. In spite of this promise, little is known about the joint reliability of these markers, and thus their clinical applicability. New, standardized procedures were developed to improve the compatibility of data acquired with different EEG platforms, and used to examine test-retest reliability for the three electrophysiological measures selected for a multisite project—Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC). Thirty nine healthy controls across four clinical research sites were tested in two sessions separated by about one week. Resting EEG (eyes-open and eyes-closed conditions) was recorded and LDAEP measured using binaural tones (1000 Hz, 40 ms) at five intensities (60–100 dB SPL). Principal components analysis (PCA) of current source density (CSD) waveforms reduced volume conduction and provided reference-free measures of resting EEG alpha and N1 dipole activity to tones from auditory cortex. Low Resolution Electromagnetic Tomography (LORETA) extracted resting theta current density measures corresponding to rostral anterior cingulate (rACC), which has been implicated in treatment response. There were no significant differences in posterior alpha, N1 dipole or rACC theta across sessions. Test-retest reliability was .84 for alpha, .87 for N1 dipole, and .70 for theta rACC current density. The demonstration of good-to-excellent reliability for these measures provides a template for future EEG/ERP studies from multiple testing sites, and an important step for evaluating them as biomarkers for predicting treatment response.

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.

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.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.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.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.

Major depressive disorder (MDD) is clinically, and likely pathophysiologically, heterogeneous. A potentially fruitful approach to parsing this heterogeneity is to focus on promising endophenotypes. Guided by the NIMH Research Domain Criteria initiative, we used source localization of scalp-recorded EEG resting data to examine the neural correlates of three emerging endophenotypes of depression: neuroticism, blunted reward learning, and cognitive control deficits. Data were drawn from the ongoing multi-site EMBARC study. We estimated intracranial current density for standard EEG frequency bands in 82 unmedicated adults with MDD, using Low-Resolution Brain Electromagnetic Tomography. Region-of-interest and whole-brain analyses tested associations between resting state EEG current density and endophenotypes of interest. Neuroticism was associated with increased resting gamma (36.5-44 Hz) current density in the ventral (subgenual) anterior cingulate cortex (ACC) and orbitofrontal cortex (OFC). In contrast, reduced cognitive control correlated with decreased gamma activity in the left dorsolateral prefrontal cortex (dlPFC), decreased theta (6.5-8 Hz) and alpha2 (10.5-12 Hz) activity in the dorsal ACC, and increased alpha2 activity in the right dlPFC. Finally, blunted reward learning correlated with lower OFC and left dlPFC gamma activity. Computational modeling of trial-by-trial reinforcement learning further indicated that lower OFC gamma activity was linked to reduced reward sensitivity. Three putative endophenotypes of depression were found to have partially dissociable resting intracranial EEG correlates, reflecting different underlying neural dysfunctions. Overall, these findings highlight the need to parse the heterogeneity of MDD by focusing on promising endophenotypes linked to specific pathophysiological abnormalities.

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. Language: en

BackgroundDepression is characterized by poor executive function, but – counterintuitively – in some studies, it has been associated with highly accurate performance on certain cognitively demanding tasks. The psychological mechanisms responsible for this paradoxical finding are unclear. To address this issue, we applied a drift diffusion model (DDM) to flanker task data from depressed and healthy adults participating in the multi-site Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC) study.MethodOne hundred unmedicated, depressed adults and 40 healthy controls completed a flanker task. We investigated the effect of flanker interference on accuracy and response time, and used the DDM to examine group differences in three cognitive processes: prepotent response bias (tendency to respond to the distracting flankers), response inhibition (necessary to resist prepotency), and executive control (required for execution of correct response on incongruent trials).ResultsConsistent with prior reports, depressed participants responded more slowly and accurately than controls on incongruent trials. The DDM indicated that although executive control was sluggish in depressed participants, this was more than offset by decreased prepotent response bias. Among the depressed participants, anhedonia was negatively correlated with a parameter indexing the speed of executive control (r = −0.28, p = 0.007).ConclusionsExecutive control was delayed in depression but this was counterbalanced by reduced prepotent response bias, demonstrating how participants with executive function deficits can nevertheless perform accurately in a cognitive control task. Drawing on data from neural network simulations, we speculate that these results may reflect tonically reduced striatal dopamine in depression.

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.

Objective: To identify clinical and sociodemographic characteristics associated with suicidal ideation (SI) among patients seeking care for depression in routine primary and psychiatric care settings. Methods: We examined data from 4041 treatment-seeking outpatients with major depressive disorder (MDD) to compare baseline sociodemographic and clinical characteristics of those with and without SI, and the presence or absence of baseline depressive symptoms and psychiatric comorbidities in those with SI. Results: SI was significantly ( P < 0.01) associated with numerous sociodemographic characteristics (that is, lower level of education, Caucasian or African American, male, unemployed, and treated in psychiatric care) and clinical features (that is, previous suicide attempt, younger age of MDD onset, greater baseline depressive symptom severity, greater number of depressive symptoms, and presence of agoraphobia and [or] generalized anxiety disorder). Elevated levels of SI at baseline were associated with decreased remission rates. Conclusions: Consistent with past findings, increased rates of SI were associated with greater depressive symptom severity as well as other features suggestive of severity of illness. Our results confirm previous findings of associations between SI and panic and (or) phobic symptoms and anxiety, but did not confirm previous findings of an association between SI and alcohol or drug use and (or) dependence. While selective serotonin reuptake inhibitor monotherapy appeared significantly helpful in reducing SI during the course of treatment, the presence of SI at baseline was found to be a associated with decreased treatment response, with patients reporting SI at the start of treatment being less likely to achieve remission. Clinical Trial Registration Number: Sequenced Treatment Alternatives to Relieve Depression, NCT00021528.

Background Brain Derived Neurotrophic Factor (BDNF) has potential as a biomarker of depression treatment because serum BDNF in depressed human subjects is decreased and normalizes with treatment. The relationship between serum BDNF and exercise treatment of depression is not known. The Treatment with Exercise Augmentation for Depression (TREAD) study examined dosed exercise augmentation treatment of partial responders to antidepressants. Serum BDNF in TREAD subjects was analyzed to understand its relationship with exercise training. Methods Subjects were randomized to high (16 kcal/kg/week or KKW) or low (4 KKW) energy expenditure exercise over 12 weeks. Actual kcal/week expended and IDS-C scores were collected weekly. One hundred four subjects in TREAD provided baseline blood samples; a subset of 70 subjects also provided week 12 samples. Serum BDNF was determined using ELISA. Correlations were examined between change in BDNF and 1) mean kcal/week expended, and 2) change in IDS-C score. Mixed-effects ANOVA examined the effect of baseline BDNF on outcome. Results Resting serum BDNF was stable and did not correlate with energy expenditure (p = 0.15) or IDS-C improvement (p = 0.89). Subjects entering the study with higher BDNF improved more rapidly on the IDS-C (p = 0.003). Limitations Serum may not be the most sensitive blood fraction in which to measure BDNF change. Pre-treatment with medication may mask exercise effect on BDNF. Conclusions These results suggest that change in serum BDNF does not reflect efficacy of exercise augmentation treatment of MDD. Instead BDNF may function as an augmentation moderator. Pre-treatments that raise BDNF may improve the efficacy of exercise treatment of MDD.

Background The clinical effects of antidepressant combinations vs. monotherapy as initial treatment for major depression with melancholic features (MDD-MF) are unknown. Methods Outpatients with chronic or recurrent major depression (MDD) were randomized to initial treatment with escitalopram + placebo (the MONO condition), bupropion-sustained release + escitalopram, or venlafaxine-extended release + mirtazapine (the COMB conditions) in the Combining Medications to Enhance Depression Outcomes (CO-MED) trial. Secondary data analyses were conducted to compare demographic and clinical characteristics, and contrast clinical responses according to drug treatment, in patients with MDD-MF (n = 124) and non-melancholic MDD (n = 481). Results While numerically lower, remission rates in MDD-MF did not differ significantly from those with non-melancholic MDD either at 12 (33.1% vs. 41.0%, aOR 1.16, p = 0.58) or 28 (39.5% vs. 46.8%, aOR = 1.02, p = 0.93) weeks of treatment. Remission rates did not differ significantly between combination and monotherapy groups in either MDD-MF or non-melancholic MDD patients at either time point. Similar conclusions were reached for response rates, premature study discontinuation, and self-rated depression symptom severity. Limitations This is a secondary analysis of data from the CO-MED trial, which was not designed to address differential treatment response in melancholic and non-melancholic MDD. Conclusions We found no evidence of differential remission or response rates to antidepressant combination or monotherapy between melancholic/non-melancholic MDD patients, or according to antidepressant treatment group, after 12 and 28 weeks. Melancholic features may not be a valid predictor of more favorable response to antidepressant combination therapy as initial treatment.

OBJECTIVE To compare sociodemographic and clinical features, acute and continuation treatment outcomes, and adverse events/side effect burden between outpatients with chronic (current episode > 2 years) versus nonchronic major depressive disorder (MDD) who were treated with combination antidepressant therapy or selective serotonin reuptake inhibitor (SSRI) monotherapy. METHOD 663 outpatients with chronic (n = 368) or nonchronic (n = 295) moderate to severe DSM-IV-TR MDD (17-item Hamilton Depression Rating Scale score ≥ 16) were enrolled from March 2008 through September 2009 in a single-blind 7-month prospective randomized trial conducted at 6 primary and 9 psychiatric care sites across the United States. Participants were treated with escitalopram monotherapy plus placebo or 1 of 2 combination treatments (bupropion sustained-release [SR] + escitalopram or venlafaxine extended-release [XR] + mirtazapine). Analyses compared baseline sociodemographic and clinical characteristics, rates of remission (at least 1 of the last 2 consecutive scores on the 16-item Quick Inventory of Depressive Symptomatology-Self-Report [QIDS-SR16] < 6, with the other < 8), and adverse events/side effect burden (Frequency, Intensity, and Burden of Side Effects Ratings) obtained at 12 and 28 weeks. RESULTS Participants with chronic MDD were at greater socioeconomic disadvantage and had greater medical and psychiatric disease burden. The chronic and nonchronic groups did not differ in rates of remission at 12 weeks (35.9% vs 42.0%, respectively; odds ratio [OR] = 0.778, P = .1500; adjusted OR [AOR] = 0.956, P = .8130) or at 28 weeks (41.0% vs 49.8%, respectively; OR = 0.706, P = .0416; AOR = 0.837, P = .3448). Participants with chronic MDD had higher final QIDS-SR(16) scores and smaller overall percent changes in QIDS-SR(16) from baseline to exit, but these differences did not remain after adjusting for covariates. There were no significant differences in adverse events or side effect burden. No significant interactions were found between chronicity and type of treatment at 12 or 28 weeks. CONCLUSION Chronicity of illness does not appear to differentially impact acute or longer-term outcomes with SSRI monotherapy or combination antidepressant medication treatment in patients with moderate to severe nonpsychotic MDD. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT00590863.

Objective US Food and Drug Administration (FDA) warnings recommend monitoring negative symptoms associated with the initiation of antidepressant medications as these symptoms may interfere with full recovery and pose safety concerns. There is currently no brief, reliable rating instrument for assessing treatment-emergent, negative symptoms. We evaluated the psychometric properties of 2 versions of the newly developed 17-item Concise Associated Symptom Tracking (CAST) scale, the CAST Clinician Rating (CAST-C) and CAST Self-Rated (CAST-SR), which are brief instruments designed to measure the 5 relevant associated symptom domains (irritability, anxiety, mania, insomnia, and panic). Method The study enrolled 265 outpatients with major depressive disorder (MDD), from July 2007 through February 2008, into an 8-week, open-label trial with a selective serotonin reuptake inhibitor. Diagnosis of MDD was determined by the Psychiatric Diagnostic Screening questionnaire and an MDD checklist based on DSM-IV-TR criteria. Suicidality (suicidal ideation with associated behaviors) is 1 of 9 symptoms of MDD (depressed mood, loss of interest, appetite or weight change, sleep disturbance, reduced concentration or indecisiveness, fatigue or decreased energy, psychomotor agitation or retardation, feelings of worthlessness or excessive guilt). Psychometric evaluations were conducted on both versions of the CAST. Results Cronbach α was .80 (CAST-C) and .81 (CAST-SR). Factor analysis identified 5 factors for each scale: (1) irritability, (2) anxiety, (3) mania, (4) insomnia, and (5) panic. When the item that cross-loaded on 2 factors was eliminated, the 16-item solution had a better goodness of fit (CAST-C: 0.90 vs 0.87; CAST-SR: 0.88 vs 0.84). Cronbach α for the 16-item versions was .77 (CAST-C) and .78 (CAST-SR). The 5 associated CAST symptom domains correlated well with other standard measures of these domains. Conclusions The 16-item CAST-C and CAST-SR demonstrated excellent psychometric properties. These are potentially useful measures for monitoring treatment-emergent negative symptoms associated with antidepressants, as recommended by the FDA. Trial registration Clinicaltrials.gov Identifier: NCT00532103.

The inability to experience pleasure, anhedonia, is recognized as a hallmark symptom of depression. An instrument developed for the assessment of hedonic capacity is the 14-item, self-report, Snaith-Hamilton Pleasure Scale (SHAPS), but its psychometric properties have not been adequately evaluated. This study examined the reliability and validity of the SHAPS using a large sample of adult outpatients with major depressive disorder (MDD). Data for this study were obtained from 461 adult outpatients with a diagnosis of MDD who participated in Implementation of Algorithms using Computerized Treatment Systems Project. Internal consistency of the SHAPS was assessed using the Cronbach's coefficient α. A principal factor analysis was used to define the dimensionality of the SHAPS. Convergent and discriminant validity was assessed by evaluating the Pearson correlations between the SHAPS total score and the pleasure/enjoyment item of the 30-item Inventory of Depressive Symptomatology - Clinician-rating (IDS-C30); Quality of Life, Enjoyment, and Satisfaction Questionnaire; 17-item Hamilton Rating Scale for Depression; IDS-C30; 16-item Quick Inventory of Depressive Symptomatology; and 10-item clinician-rated Montgomery-Asberg Depression Rating Scale, respectively. The internal consistency of the SHAPS was 0.91. A one-factor solution emerged for the SHAPS (eigen-values of the first two initial factors were 5.95 and 0.43, respectively). Pearson correlations revealed a positive linear relationship between the SHAPS total score and the total scores on the 17-item Hamilton Rating Scale for Depression (r=0.49, P

We report a 38-year-old Syrian woman who presented with progressive breathlessness, hypotension and circulatory collapse. Echocardiogram revealed a large pericardial effusion with evidence of cardiac tamponade. There was a history of secondary amenorrhoea, loss of axillary and pubic hair following childbirth at 28 years of age. Investigations revealed low levels of gonadotrophins, oestrogen, prolactin and thyrotrophin but normal levels of basal and post-synacthen (ACTH) cortisol. An MRI of the sella showed atrophic changes of the pituitary. She was treated with intravenous fluids, dopamine infusion, intravenous hydrocortisone and thyroxine replacement. The clinical suspicion of Sheehan syndrome facilitated early administration of corticosteroids, adequate thyroxine replacement and rapid resolution of pericardial effusion.

Missing data in clinical efficacy and effectiveness trials continue to be a major threat to the validity of study findings. The purpose of this report is to describe methods developed to ensure completion of outcome assessments with public mental health sector subjects participating in a longitudinal, repeated measures study for the treatment of major depressive disorder. We developed longitudinal assessment procedures that included telephone-based clinician interviews in order to minimize missing data commonly encountered with face-to-face assessment procedures.A pre-planned, multi-step strategy was developed to ensure completeness of data collection. The procedure included obtaining multiple pieces of patient contact information at baseline, careful education of both staff and patients concerning the purpose of assessments, establishing good patient rapport, and finally being flexible and persistent with phone appointments to ensure the completion of telephone-based follow-up assessments. A well-developed administrative and organizational structure was also put in place prior to study implementation.The assessment completion rate for the primary outcome for 310 of 504 subjects who enrolled and completed 52 weeks (at the time of manuscript) of telephone-based follow-up assessments was 96.8%.By utilizing telephone-based follow-up procedures and adapting our easy-to-use pre-defined multi-step approach, researchers can maximize patient data retention in longitudinal studies.

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.

Narcolepsy is clinically associated with cataplexy, sleep paralysis and hypnagogic hallucinations. It is treated by reassurance (that there is no physical disease) and by stimulants such as ephedrine and amphetamine on an intermittent basis. The special tricyclic antidepressant clomipramine is also used, and mono-amine oxidase inhibitors (MAOIs) are useful in theory. Obstructive sleep apnoea is an important and often unrecognised cause of daytime somnolence. It is treated by weight reduction (pickwickian syndrome), hormones, or recently, with continuous positive pressure apparatus. Night terrors (pavor nocturnus) and sleepwalking typically occur during deep sleep (stage 3 and 4 throughout the episode) in children. In a night terror the child sits up with a scream, with eyes open, but inaccessible. He eventually falls asleep calmly. Sleepwalking, too, shows the features of inaccessibility and subsequent amnesia for the episode. Both conditions are normally treated with reassurance (to the parents) but may occasionally warrant benzodiazepines. Enuresis usually occurs in non-rapid eye movement (NREM) sleep, especially stages 3 and 4. The reason for the efficacy of tricyclic antidepressants is not precisely known. Delirium tremens (DT) is treated as a rebound excess of REM sleep, with benzodiazepines and other drugs. It is the withdrawal syndrome (with or without major seizures) to the barbiturate-alcohol group of drugs, which includes alcohol, chloral, paraldehyde, glutethimide, methylprylone, ethchlorvynol, meprobamate and meprobamate-diphenhydramine. Insomnia may be treated by the above drugs, by analgesics, antidepressants, major tranquillisers (neuroleptics) and miscellaneous other compounds. For the majority of patients, however, the most suitable group seems to be the benzodiazepines. The benzodiazepines are much safer than their predecessors, in both acute and chronic usage.(ABSTRACT TRUNCATED AT 250 WORDS)