Faculty Bibliography

Impairments in cognitive performance and inability to function in everyday life situations are present, in various degrees, in many severe mental illnesses, including major depressive disorder, bipolar disorder, and schizophrenia. Persistent mood symptoms (e.g., depression and mania) are associated with functional deficits in major depression and bipolar disorder, but also in conditions where mood symptoms are not the primary markers of the illness, such as in schizophrenia. While mood symptoms impact cognitive performance, both mood symptoms and cognitive deficits have a significant - and to some extent independent - impact on psychosocial functioning in psychiatric patients. Improved control of mood symptoms may represent an important strategy leading to improved functional outcomes. However, cognitive impairment may be an important independent dimension of many psychiatric disorders and such symptoms should also be considered a potential target of treatments aiming to reduce functional deficits.

BACKGROUND: We assessed the efficacy of low-dose aripiprazole added to antidepressant therapy (ADT) in major depressive disorder (MDD) patients with inadequate response to prior ADT. METHODS: As per the sequential parallel comparison design, 225 MDD subjects were randomized to adjunctive treatment with aripiprazole 2 mg/day or placebo across two 30-day phases, with a 2:3:3 randomization ratio to drug/drug (aripiprazole 2 mg/day in phase 1; 5 mg/day in phase 2), placebo/placebo (placebo in both phases), and placebo/drug (placebo in phase 1; aripiprazole 2 mg/day in phase 2). Eligible subjects were patients whose MDD was independently deemed 'valid' with SAFER criteria. Subjects had been receiving ADT for >/=8 weeks, and had inadequate response to >/=1 and <4 adequate ADTs in the current episode, as defined by the Antidepressant Treatment Response Questionnaire. RESULTS: The pooled, weighted response difference between aripiprazole 2 mg/day and placebo in the two phases was 5.6% (p = 0.18; NS). The aripiprazole 2 mg/day-placebo difference on the Montgomery-Asberg Depression Rating Scale pooled across the two phases was -1.51 (p = 0.065; NS). Other secondary endpoint analyses showed nonsignificant pooled differences favoring aripiprazole over placebo. Of the 225 randomized subjects in phase 1, 2 dropped out in both arms, while in phase 2, of 138 phase 1 placebo nonresponders, 9 dropped out on aripiprazole and 5 on placebo. There were only minimal differences in adverse event rates between treatments, except for constipation, weight gain, and dry mouth, more common on aripiprazole. CONCLUSIONS: This study provides clear support for the tolerability of low-dose aripiprazole as an ADT-augmenting agent, with marginal efficacy.

Recent meta-analyses point to the relatively low efficacy of commonly used antidepressant medications. Selecting the most effective medications for depressed subjects having failed previous treatments is especially difficult. There is a clear need for objective biomarkers that could assist and optimize such treatment selection. We will review here a growing body of evidence suggesting that several electroencephalography (EEG)-based methods may be useful for predicting antidepressant response and eventually for guiding clinical treatment decisions. While most of these methods are based on resting-state EEGs (e.g., alpha- and theta-band EEG abnormalities, the combined Antidepressant Response Index (ATR), cordance, referenced EEG), others include EEG source localization and evoked potentials. The limitations of these technologies and the potential clinical uses will also be outlined.

Major depressive disorder is a common illness, particularly in patients with medical and neurologic conditions. This article summarizes current data on the epidemiology, diagnosis, and treatment of major depression, with special emphasis on the diagnosis and treatment of depression in medical and neurologic patients. We reviewed the role of pharmacotherapies, psychotherapies, somatic treatments, and alternative remedies and we included practical advice for clinician regarding the timing and sequence of these treatments, the role of standardized depression scales, and the criteria for referrals to specialty consultants.

OBJECTIVE: Patients with major depressive disorder (MDD) and significant anxiety are less responsive to antidepressants than those without anxiety. In this post hoc analysis of patients with insomnia and comorbid anxious depression, eszopiclone cotherapy with a selective serotonin reuptake inhibitor (SSRI) was compared with placebo cotherapy. METHOD: Data were pooled from 2 randomized, double-blind, 8-week trials. One trial (conducted from January 2004 to October 2004) included patients with DSM-IV insomnia and comorbid MDD treated with fluoxetine concurrently with eszopiclone 3 mg/d or placebo. The other trial (conducted from July 2005 to April 2006) included patients with DSM-IV-TR insomnia and comorbid generalized anxiety disorder treated with escitalopram concurrently with eszopiclone 3 mg/d or placebo. Anxious depression was defined as a baseline 17-item Hamilton Depression Rating Scale (HDRS-17) score >/= 14 (excluding insomnia items) and an anxiety/somatization factor score >/= 7. Treatment group differences were determined for mean changes in HDRS-17 scores (with and without insomnia items), HDRS anxiety/somatization scores, and response and remission rates. Severity of insomnia was assessed by the Insomnia Severity Index (ISI). RESULTS: In the combined dataset, 347 of 1,136 patients (30.5%) had insomnia and comorbid anxious depression. Significant improvements in insomnia were observed for eszopiclone cotherapy relative to placebo cotherapy (mean change from baseline on the ISI: -11.0 vs -7.8, respectively; P < .001). There were greater reductions in HDRS-17 scores at week 8 following cotherapy with eszopiclone compared with placebo when the insomnia items were included (mean change: -14.1 vs -11.2, respectively; P < .01) or excluded (-10.6 vs -8.9; P < .01), but not for anxiety/somatization (-4.3 vs -4.1; P = .23). Response rates were greater for eszopiclone cotherapy than for placebo cotherapy (55.6% vs 42.0%, respectively; P = .01; 50.0% vs 44.4% when insomnia items were removed; P = .3). Remission rates were not significantly different (32.6% vs 27.2%, respectively; P = .28). CONCLUSIONS: In this post hoc analysis of patients with insomnia and comorbid anxious depression derived from 2 trials, 8 weeks of eszopiclone therapy coadministered with an SSRI resulted in significantly greater improvements in insomnia, significantly greater reductions in HDRS-17 total score, and significantly greater HDRS-17 response rates compared with placebo coadministration. There were no significant differences in response rates (when insomnia items were excluded) and remission rates, as well as in anxiety/somatization scores. Further research is warranted to determine whether these modest antidepressant effects can be replicated, and anxiolytic effects demonstrated, when evaluated in a prospective manner.

OBJECTIVE: Little is known about the relevance of lesion in neural circuits reported to be associated with major depressive disorder. We investigated the association between lesion stroke size in the limbic-cortical-striatal-pallidal-thalamic (LCSPT) circuit and incidence of major depressive episode (MDE). METHODS: We enrolled 68 patients with first-ever ischemic stroke and no history of major depressive disorder. Neurological and psychiatric examinations were performed at three time-points. We diagnosed major depressive episode, following DSM-IV criteria. Lesion location and volume were determined with magnetic resonance imaging, using a semi-automated method based on the Brodmann Cytoarchitectonic Atlas. RESULTS: Twenty-one patients (31%) experienced major depressive episode. Larger lesions in the left cortical regions of the LCSPT circuit (3,760 vs. 660 mm3; P = 0.004) were associated with higher incidence of MDE. Secondary analyses revealed that major depressive episode was associated with larger lesions in areas of the medial prefrontal cortex including the ventral (BA24) and dorsal anterior cingulate cortex (BA32) and subgenual cortex (BA25); and also the subiculum (BA28/36) and amygdala (BA34). CONCLUSIONS: Our findings indicate that depression due to stroke is aetiologically related to the disruption of the left LCSPT circuit and support the relevance of the medial prefrontal cortex dysfunction in the pathophysiology of depression.

INTRODUCTION: Personality traits have been associated with primary depression. However, it is not known whether this association takes place in the case of depression comorbid with fibromyalgia. OBJECTIVE: The authors investigated the association between a current major depressive episode and temperament traits (e.g., harm avoidance). METHOD: A sample of 69 adult female patients with fibromyalgia was assessed with the Temperament and Character Inventory. Psychiatric diagnoses were assessed with the Mini-International Neuropsychiatric Interview severity of depressive symptomatology with the Beck Depression Inventory, and anxiety symptomatology with the IDATE-state and pain intensity with a visual analog scale. RESULTS: A current major depressive episode was diagnosed in 28 (40.5%) of the patients. They presented higher levels of harm avoidance and lower levels of cooperativeness and self-directedness compared with non-depressed patients, which is consistent with the Temperament and Character Inventory profile of subjects with primary depression. However, in contrast to previous results in primary depression, no association between a major depressive episode and self-transcendence was found. CONCLUSIONS: The results highlight specific features of depression in fibromyalgia subjects and may prove important for enhancing the diagnosis and prognosis of depression in fibromyalgia patients.

BACKGROUND: A retrospective chart review was undertaken in a private clinic to examine the clinical outcomes for patients with an eating disorder comorbid with depression or bipolar illness who underwent a referenced electroencephalographic (EEG) database analysis to help guide medication selection. METHOD: We examined 33 charts for patients with the primary psychiatric diagnosis of an eating disorder and comorbid major depressive disorder or bipolar disorder who underwent a quantitative EEG database assessment to provide additional information for choices of medication. The current analysis includes data from 22 subjects who accepted treatments based on information from the referenced-EEG medication database. Hamilton Depression Rating Scale, Clinical Global Impression-Severity, Clinical Global Impression-Improvement, and hospitalization data were examined for these patients. RESULTS: Patients whose EEG data was used for clinical treatment reported significant decreases in associated depressive symptoms (HDRS scores), overall severity of illness (Clinical Global Impression-Severity), and overall clinical global improvement (Clinical Global Impression- Improvement). This cohort also reported fewer inpatient, residential, and partial hospitalization program days following referenced-EEG compared with the two-year period prior to treatment. CONCLUSION: These findings are consistent with previously reported data for patients with eating disorders and suggest the need for future studies using EEG data correlated with those from other patients with similar quantitative EEG features.