Self-guided Internet-based cognitive behavior therapy (iCBT) for migraine interventions could improve access to care, but there is poor evidence of their efficacy.

A three-arm randomized controlled trial compared: iCBT focused on psychoeducation, self-monitoring and skills training (SPHERE), iCBT focused on identifying and managing personal headache triggers (PRISM) and a waitlist control. The primary treatment outcome was a ≥ 50% reduction in monthly headache days at 4 months post-randomization.

428 participants were randomized (mean age = 30.1). 240 participants (56.2%) provided outcome data at 4 months. Intention-to-treat (ITT) analysis with missing data imputed demonstrated that the proportion of responders with a ≥ 50% reduction was similar between combined iCBTs and waitlist (48.5/285, 17% vs. 16.6/143, 11.6%, p = 0.20), but analysis of completers showed both iCBT programs to be superior to the waitlist (24/108, 22.2% vs. 13/113, 11.5%, p = 0.047). ITT analysis with missing data imputed showed no difference between the two iCBTs (SPHERE: 24.8/143, 17.3% vs. PRISM: 23.7/142, 16.7%, p = 0.99). Uptake rates of the iCBTs were high (76.9% and 81.69% logged in at least once into SPHERE and PRISM, respectively), but adherence was low (out of those who logged in at least once, 19.01% [21/110] completed at least 50% modules in SPHERE and 7.76% [9/116] set a goal for trying out a given trigger-specific recommendation in PRISM). Acceptability ratings were intermediate.

Self-guided iCBTs were not found to be superior in our primary ITT analysis. Low adherence could explain the lack of effects as completer analysis showed effects for both interventions. Enhancement of adherence should be a focus of future research.

Major depressive disorder (MDD) is often accompanied by changes in appetite and weight. Prior task-based functional magnetic resonance imaging (fMRI) findings suggest these MDD phenotypes are associated with altered reward and interoceptive processing.

Using resting-state fMRI data, we compared the fractional amplitude of low-frequency fluctuations (fALFF) and seed-based connectivity (SBC) among hyperphagic (n = 77), hypophagic (n = 66), and euphagic (n = 42) MDD groups and a healthy comparison group (n = 38). We examined fALFF and SBC in a mask restricted to reward [nucleus accumbens (NAcc), putamen, caudate, ventral pallidum, and orbitofrontal cortex (OFC)] and interoceptive (anterior insula and hypothalamus) regions and also performed exploratory whole-brain analyses. SBC analyses included as seeds the NAcc and also regions demonstrating group differences in fALFF (i.e. right lateral OFC and right anterior insula). All analyses used threshold-free cluster enhancement.

Mask-restricted analyses revealed stronger fALFF in the right lateral OFC, and weaker fALFF in the right anterior insula, for hyperphagic MDD v. healthy comparison. We also found weaker SBC between the right lateral OFC and left anterior insula for hyperphagic MDD v. healthy comparison. Whole-brain analyses revealed weaker fALFF in the right anterior insula, and stronger SBC between the right lateral OFC and left precentral gyrus, for hyperphagic MDD v. healthy comparison. Findings were no longer significant after controlling for body mass index, which was higher for hyperphagic MDD.

Our results suggest hyperphagic MDD may be associated with altered activity in and connectivity between interoceptive and reward regions.

Treatment for major depressive disorder (MDD) is imprecise and often involves trial-and-error to determine the most effective approach. To facilitate optimal treatment selection and inform timely adjustment, the current study investigated whether neurocognitive variables could predict an antidepressant response in a treatment-specific manner.

In the two-stage Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) trial, outpatients with non-psychotic recurrent MDD were first randomized to an 8-week course of sertraline selective serotonin reuptake inhibitor or placebo. Behavioral measures of reward responsiveness, cognitive control, verbal fluency, psychomotor, and cognitive processing speeds were collected at baseline and week 1. Treatment responders then continued on another 8-week course of the same medication, whereas non-responders to sertraline or placebo were crossed-over under double-blinded conditions to bupropion noradrenaline/dopamine reuptake inhibitor or sertraline, respectively. Hamilton Rating for Depression scores were also assessed at baseline, weeks 8, and 16.

Greater improvements in psychomotor and cognitive processing speeds within the first week, as well as better pretreatment performance in these domains, were specifically associated with higher likelihood of response to placebo. Moreover, better reward responsiveness, poorer cognitive control and greater verbal fluency were associated with greater likelihood of response to bupropion in patients who previously failed to respond to sertraline.

These exploratory results warrant further scrutiny, but demonstrate that quick and non-invasive behavioral tests may have substantial clinical value in predicting antidepressant treatment response.

The number of people living with dementia (PWD) is increasing worldwide, corresponding with an increasing number of caregivers for PWD. This study aims to identify and describe the literature surrounding the needs of caregivers of PWD and the solutions identified to meet these needs.

A literature search was performed in: PsycInfo, Medline, CINAHL, SCIELO and LILACS, January 2007–January 2018. Two independent reviewers evaluated 1,661 abstracts, and full-text screening was subsequently performed for 55 articles. The scoping review consisted of 31 studies, which were evaluated according to sociodemographic characteristics, methodological approach, and caregiver’s experiences, realities, and needs. To help extract and organize reported caregiver needs, we used the C.A.R.E. Tool as a guiding framework.

Thirty-one studies were identified. The most common needs were related to personal health (58% emotional health; 32% physical health) and receiving help from others (55%). Solutions from the articles reviewed primarily concerned information gaps (55%) and the education/learning needs of caregivers (52%).

This review identified the needs of caregivers of PWD. Caregivers’ personal health emerged as a key area of need, while provision of information was identified as a key area of support. Future studies should explore the changes that occur in needs over the caregiving trajectory and consider comparing caregivers’ needs across different countries.

Major 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.

Within 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.

Five 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).

A 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.

Objective/Introduction: We sought to characterize the impact of the 90-item Symptom Checklist (SCL-90) subscales for paranoid ideation (PI) and psychoticism (P) in patients with major depressive disorder (MDD), on acute anti-depressant response and on relapse prevention.

Methods: Subjects with Structured Clinical Interview for DSM Disorders-diagnosed non-psychotic MDD were recruited into a clinical trial of open-label fluoxetine 10–60 mg/day for 12 weeks, followed by double-blind randomization of responders (n=262) to fluoxetine continuation or placebo for 12 months. PI and P were assessed with the patient-rated SCL-90. The association of these symptoms with response to treatment was assessed by logistic regression.

Results: We found significant decreases in PI and P during acute treatment phase for fluoxetine responders and nonresponders, although only 10.3% and 7.5% of patients experienced a ≥50% reduction in PI and P scores, respectively. Neither PI nor P scores significantly predicted time to relapse. P scores predicted a lower response rate to treatment with fluoxetine.

Discussion: The results of the present study suggest that there is a significant relationship between the presence of psychoticism in patients with nonpsychotic MDD, and the likelihood of overall depressive symptom improvement following a trial of monotherapy with fluoxetine.

Conclusion: An increased burden of psychoticism in depressed subjects may confer poorer response to fluoxetine, but not increased risk of relapse among fluoxetine responders.