Effect of Intrinsic Patterns of Functional Brain Connectivity in Moderating Antidepressant Treatment Response in Major Depression

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Improving the identification and treatment of depression in low-income primary care clinics: a qualitative study of providers in the VitalSign6 program

QUALITY PROBLEM

Despite its global burden and prevalence, Major Depressive Disorder often goes undetected and untreated, and is particularly pervasive in the primary care setting.

INITIAL ASSESSMENT

One in four Texans lack health insurance, and people with behavioral health disorders are disproportionately affected. It is possible to provide high-quality depression treatment in primary care settings with outcomes equal to those provided by specialty care. The Center for Depression Research and Clinical Care offered an opportunity to transform service delivery practices in underserved primary care practices to improve quality, health status, patient experience and coordination.

CHOICE OF SOLUTION

A point-of-care, web-based, self-report based software program, VitalSign6, was developed to provide universal depression screening in primary care practices and assist providers in monitoring and treating patients' symptoms using principles of Measurement-Based Care.

IMPLEMENTATION

Implementation included a multi-faceted training program designed to build confidence and competence in participating clinics' medical providers and staff as well as ongoing performance improvement delivered by the VitalSign6 team.

EVALUATION

Primary care providers (N = 11) were interviewed, using a semi-structured interview guide, with a focus on barriers and challenges to full integration, perceptions of the most/least valuable aspects of the program, and the program's impact on knowledge, attitudes and behaviors about depression screening and treatment.

LESSONS LEARNED

More efficient technology is needed to reduce time wasted, as is training to reduce stigma and correct misconceptions about antidepressant medications. Provider buy-in is essential.

CONCLUSIONS

Despite barriers, VitalSign6 increased knowledge, changed attitudes and enhanced providers' depression screening and treatment skills over time.

Psychometrics of the Self-Report Concise Associated Symptoms Tracking Scale (CAST-SR): Results From the STRIDE (CTN-0037) Study

OBJECTIVE

The self-report Concise Associated Symptoms Tracking Scale (CAST-SR) was developed to track mania, irritability, anxiety, panic, and insomnia symptoms among depressed outpatients receiving antidepressant medication. Given the overlap between these domains, depression, and stimulant use disorders, we reexamined CAST-SR psychometrics in a novel sample: individuals with stimulant use disorder receiving aerobic exercise or health education interventions.

METHODS

Using the subsample of stimulant-dependent (following DSM-IV criteria) individuals prescribed antidepressants (N = 124) from the multisite Stimulant Reduction Intervention Using Dosed Exercise (CTN-0037) trial (total sample N = 302), conducted July 2010 to February 2013, we analyzed CAST-SR data collected at the first assessment after participant's discharge from residential treatment. We also evaluated the convergent/discriminant validity of the CAST-SR with several self-report questionnaires.

RESULTS

Confirmatory factor analysis revealed a 12-item measure composed of 4 factors: irritability, anxiety, panic, and insomnia. This factor structure loaded only in participants prescribed antidepressant medication, not in those who were not prescribed antidepressants. These results replicate the original CAST-SR factor structure, except for the mania factor, which failed to load. Internal consistency was high (α = 0.92 for total scale and α = 0.78-0.89 for the 4 factors), and convergent validity was established, especially for the insomnia and irritability factors, alongside the total score with depressive symptoms, insomnia, quality of life, suicide risk, and physical health measures.

CONCLUSIONS

These results demonstrate the factor structure, reliability, and validity of the CAST-SR in a novel population of only individuals with stimulant use disorders receiving both exercise/health education interventions and antidepressant medication.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT01141608.

VitalSign: Screening, Diagnosis, and Treatment of Depression for Adolescents Presenting to Pediatric Primary and Specialty Care Settings

Depression in youth is a critical public health concern. Nearly 13% of adolescents have experienced a depressive episode within the last year,¹ and suicide is the second leading cause of death among 15- to 24-year-olds.² Depression's negative impact spans several domains of functioning, leading to long-term effects on development.³ Recognizing the magnitude of the crisis, renewed guidelines by the US Preventive Services Taskforce and the American Academy of Pediatrics suggest that pediatric primary care providers become more active in the screening, diagnosis, and treatment of depression.^4,5 Primary care settings provide optimal opportunities to identify and treat depression, while reducing stigma and barriers surrounding mental health, particularly given the limited availability and cost of psychiatric specialists. Although providers cite difficulties, including insufficient appointment time, inadequate training, discomfort addressing mental health disorders, and stigma, the management of depressed patients is feasible and efficacious in primary care.^6-8 Several cost-efficient and easy-to-use depression screening tools are readily available and can be used alongside clinical interviews to diagnose and initiate treatment. In the following letter, we examine the feasibility of implementing a program focused on supporting pediatric providers in screening, diagnosing, and initiating depression treatment in youth.

Development and Implementation of Computerized Clinical Guidelines: Barriers and Solutions

Next, the article discusses the need to incorporate the use of surveys, questionnaires, or rating instruments for the collection of end-user feedback during and after the implementation process. A description of the types of rating instruments that will facilitate the assessment of user satisfaction is provided. Initial results from physician feedback during the implementation of our prototype are discussed. Research indicates that computerized decision support systems (CDSSs) can improve clinical performance and patient outcomes, and yet CDSSs are not in widespread use. Physician guidelines, in general, face barriers in implementation. Guidelines in a computerized format can overcome some of the barriers to conventional text-form guidelines; however, computerized programs have novel aspects that have to be considered, aspects such as technical problems/support and user interface issues that can act as barriers. Though the literature points out that human, organizational, and technical issues can act as barriers in the implementation of CDSSs, studies clearly indicate that there are methods that can overcome these barriers and improve CDSS acceptance and use. These methods come from lessons learned from a variety of CDSS implementation ventures. Notably, most of the methods that improve acceptance and use of a CDSS require feedback and involvement of end-users. Measuring and addressing physician or user attitudes toward the computerized support system has been shown to be important in the successful implementation of a CDSS. This article discusses: 1) the barriers of implementation of guidelines in general and of CDSSs; 2) the importance of the physician’s role in development, implementation, and adherence; 3) methods that can improve CDSS acceptance and use; and 4) the types of tools needed to obtain end-user feedback.

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.

Neural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study

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.

Evaluation of anhedonia with the Snaith-Hamilton Pleasure Scale (SHAPS) in adult outpatients with major depressive disorder

Anhedonia or inability to experience pleasure not only is a core symptom of major depressive disorder (MDD), but also is identified as an important component of the positive valence system in the NIMH Research Domain Criteria. The Snaith-Hamilton Pleasure Scale (SHAPS) has been developed for the assessment of hedonic experience or positive valence, but has not been well-studied in depressed outpatient populations. The current study examined the reliability and validity of the SHAPS using a sample of adult outpatients with treatment resistant MDD. Data for the current study were obtained from 122 adult outpatients with a diagnosis of MDD and non-response to adequate treatment with an SSRI and who participated in Project TReatment with Exercise Augmentation for Depression (TREAD). A Principal Components Analysis was used to define the dimensionality of the SHAPS. Convergent and discriminant validity were evaluated via correlations of the SHAPS total score with "gold standard" measures of depression severity and quality of life. The SHAPS was found to have high internal consistency (Cronbach's coefficient α = .82). A Principal Components Analysis suggests that the SHAPS is mainly "unidimensional" and limited to hedonic experience among adult outpatients with MDD. Convergent and discriminant validity were assessed by examining the Spearman rank-order correlation coefficient between the SHAPS total score and the HRSD17 (rs = 0.22, p < .03), IDS-C30 (rs = 0.26, p < .01), IDS-SR30 (rs = 0.23, p < .02), QIDS-C16 (rs = 0.22, p < .03), QIDS-SR16 (rs = 0.17, p < .10), QLES-Q (rs = -0.32, p < .002), and the pleasure/enjoyment item (sub-item 21) of the IDS-C (rs = 0.44, p < .0001) and IDS-SR (rs = 0.38, p < .0002). The self-administered SHAPS showed modest sensitivity (76%) and specificity (54%) with the self-administered pleasure/enjoyment single item (sub-item 21) of IDS-SR30. The current study shows that the SHAPS is a reliable and valid instrument to assess hedonic experience or positive valence in adult outpatients with MDD and provides a broader assessment of this important domain.

A Health Education Intervention as the Control Condition in the CTN-0037 STRIDE multi-site exercise trial: Rationale and Description

The selection of a control condition in a randomized controlled trial (RCT) is critical in determining the effect of the experimental treatment. While the use of a placebo pill can be an ideal control in pharmaceutical trials, RCTs of behavioral interventions present unique challenges in the selection and implementation of the appropriate control condition. Investigators must not only consider the control condition's ability to protect against threats to internal validity and its plausibility as a possible intervention, but must also carefully implement the control condition so it does not introduce bias from either the investigators or the participants. The purpose of this paper is to provide the rationale for the use of a health education intervention (HEI) as the control condition in the CTN-0037 Stimulant Reduction Intervention Using Dosed Exercise (STRIDE) trial. In this paper, we will describe the careful design of the HEI to ensure proper implementation and discuss alternative control conditions considered.

Are the non-classical auditory pathways involved in autism and PDD?

OBJECTIVE

To test the hypothesis that some of the abnormal sensory perceptions that characterize autism may be explained by an abnormal activation of non-classical (extra-lemniscal) sensory pathways.

METHODS

Twenty-one individuals, 18--45 years of age who were diagnosed with autism participated in the study. Sounds (clicks presented at a rate of 40 per second and 65 dB above the normal threshold) were applied through earphones. Electrical stimulation (100 microS rectangular impulses at a rate of 4 per second) was applied through electrodes placed on the skin over the median nerve at the wrist. The participants were asked to match the loudness of the sound with and without the electrical stimulation applied to the median nerve.

RESULTS

Electrical stimulation of the median nerve at the wrist in individuals with autism could change the perception of loudness of sounds presented to one ear through an earphone showing a statistically significant abnormal sensory cross-modal interaction.

DISCUSSION

We interpreted our results to support the hypothesis that some individuals with autism have an abnormal cross-modal interaction between the auditory and the somatosensory systems. Cross-modal interaction between senses such as hearing and the somatosensory system does not occur normally in adults. As only the non-classical (extralemniscal) ascending auditory pathways receive somatosensory input, the presence of cross-modal interaction in autistic individuals is a sign that autism is associated with abnormal involvement of the non-classical auditory pathways, implying that sensory information is processed by different populations of neurons than in non-autistic individuals.

Feasible evidence-based strategies to manage depression in primary care

According to the World Health Organization, major depressive disorder (MDD) is a leading cause of disability-adjusted life years worldwide. However, recent evidence suggests depression remains undertreated in primary care settings. Measurement-based care (MBC) is an evidence-based strategy that can feasibly assist primary care physicians in managing patients with MDD. Utilizing health information technology tools, such as computer decision support software, can improve adherence to evidence-based treatment guidelines and MBC at the point of care.

Functional connectivity of brain structures correlates with treatment outcome in major depressive disorder

Identifying biosignatures to assess the probability of response to an antidepressant for patients with major depressive disorder (MDD) is critically needed. Functional connectivity MRI (fcMRI) offers the promise to provide such a measure. Previous work with fcMRI demonstrated that the correlation in signal from one region to another is a measure of functional connectivity. In this pilot work, a baseline non-task fcMRI was acquired in 14 adults with MDD who were free of all medications. Participants were then treated for 8 weeks with an antidepressant and then clinically re-evaluated. Probabilistic anatomic regions of interest (ROI) were defined for 16 brain regions (eight for each hemisphere) previously identified as being important in mood disorders. These ROIs were used to determine mean time courses for each individual's baseline non-task fcMRI. The correlations in time courses between 16 brain regions were calculated. These calculated correlations were considered to signify measures of functional connectivity. The degree of connectivity for each participant was correlated with treatment outcome. Among 13 participants with 8 weeks follow-up data, connectivity measures in several regions, especially the subcallosal cortex, were highly correlated with treatment outcome. These connectivity measures could provide a means to evaluate how likely a patient is to respond to an antidepressant treatment. Further work using larger samples is required to confirm these findings and to assess if measures of functional connectivity can be used to predict differential outcomes between antidepressant treatments.

Clinicians' adherence to an algorithm for pharmacotherapy of depression in the Texas public mental health sector

This study evaluated clinicians' adherence to the major depressive disorder algorithm of the Texas Implementation of Medication Algorithms (TIMA) as a component of usual care in the Texas public mental health system. Data were collected from two Texas Department of Mental Health and Mental Retardation centers between April and December 2000. Clinician adherence measures included documentation of outcome measures, prescribing patterns (correct medications, therapeutic dosing, dosage increases, and appropriate medication changes), and visit frequency. Clinicians had consistently high adherence to appropriate drug regimens, at appropriate dosages. Variability in attempts to increase dosages when warranted, visit frequency, and documentation of patient outcome measures between clinicians were seen. The results suggest that implementation of medication algorithms is possible in the public mental health sector.

Development and implementation of computerized clinical guidelines: barriers and solutions

Research indicates that computerized decision support systems (CDSSs) can improve clinical performance and patient outcomes, and yet CDSSs are not in widespread use. Physician guidelines, in general, face barriers in implementation. Guidelines in a computerized format can overcome some of the barriers to conventional text-form guidelines; however, computerized programs have novel aspects that have to be considered, aspects such as technical problems/support and user interface issues that can act as barriers. Though the literature points out that human, organizational, and technical issues can act as barriers in the implementation of CDSSs, studies clearly indicate that there are methods that can overcome these barriers and improve CDSS acceptance and use. These methods come from lessons learned from a variety of CDSS implementation ventures. Notably, most of the methods that improve acceptance and use of a CDSS require feedback and involvement of end-users. Measuring and addressing physician or user attitudes toward the computerized support system has been shown to be important in the successful implementation of a CDSS. This article discusses: 1) the barriers of implementation of guidelines in general and of CDSSs; 2) the importance of the physician's role in development, implementation, and adherence; 3) methods that can improve CDSS acceptance and use; and 4) the types of tools needed to obtain end-user feedback.