Variability in Depression: What Have We Been Missing?

Patient and Therapist In-Session Cortisol as Predictor of Post-Session Patient Reported Affect

The importance of the role of affect in psychotherapy for major depressive disorder (MDD) is well established, but the common use of self-reported measures may limit our understanding of its underlying mechanisms. A promising predictor of patient affect is the stress hormone cortisol. To date, no studies have studied in-session changes in cortisol in psychotherapy for MDD. We investigated whether an increase in patient cortisol over the course of a session correlated with higher negative and lower positive affect. Given previous findings on healthy individuals on the contagious nature of stress, an additional aim was to examine whether these relationships are moderated by therapist cortisol. To this end, 40 dyads (including 6 therapists) provided saliva samples before and after four pre-specified sessions (616 samples). After each session, the patients provided retrospective reports of in-session affect. We found no association between patient cortisol and affect. However, increases in patient cortisol predicted negative affect when the therapists exhibited decreases in cortisol, and increases in patient cortisol predicted positive affect when the therapists showed increases. Our study provides initial evidence for the importance of the social context in the cortisol-affect relationship in MDD.

Depression and Cognitive Control across the Lifespan: a Systematic Review and Meta-Analysis

Depression has been shown to negatively impact neurocognitive functions, particularly those governed by fronto-subcortical networks, such as executive functions. Converging evidence suggests that depression-related executive dysfunction is greater at older ages, however, this has not been previously confirmed by meta-analysis. We performed a systematic review and meta-analysis, using three-level models, on peer-reviewed studies that examined depression-related differences in cognitive control in healthy community-dwelling individuals of any age. We focused on studies of cognitive control as defined by the National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC) framework, which centers on goal-directed behavior, such as goal selection (updating, representations, maintenance), response selection (inhibition or suppression), and performance monitoring. In 16,806 participants aged 7 to 97 across 76 studies, both clinical depression and subthreshold depressive symptoms were associated with cognitive control deficits (Hedges' g = -0.31). This relationship was stronger in study samples with an older mean age. Within studies with a mean age of 39 years or higher, which represents the median age in our analyses, the relationship was stronger in clinical compared to subthreshold depression and in individuals taking antidepressant medication. These findings highlight the importance of clinicians screening for cognitive control dysfunction in patients with depression, particularly in later stages of adulthood.

Depressive Symptom Dimensions and Their Association with Hippocampal and Entorhinal Cortex Volumes in Community Dwelling Older Adults

Objective: Research has shown that depression is a risk factor for Alzheimer’s disease (AD) and subsequent cognitive decline. This is compounded by evidence showing an association between depression and reduced hippocampal volumes; a primary structure implicated in the pathogenesis of the disease. Less is known about the relationship between depression and other AD vulnerable regions such as the entorhinal cortex. Given the heterogeneity of depressive symptom presentation, we examined whether symptom dimensions were associated with hippocampal and entorhinal cortex volumes in community dwelling older adults.

Methods: Eighty-one community dwelling adults completed the Beck Depression Inventory – second edition and underwent structural neuroimaging. Measures of hippocampal and entorhinal cortex volumes were obtained using FreeSurfer software. Linear regression models included regions of interest as dependent variables, with depressive symptom dimensions, as independent variables, controlling for total intracranial volumes, age, education, and gender.

Results: Somatic symptoms were negatively associated with total, right, and left hippocampal volumes. Affective symptoms were negatively associated with total entorhinal cortex volumes, with a marginal main effect on left entorhinal cortex volumes.

Conclusion: Our findings provide support for examining depressive symptoms and their association with AD vulnerable regions along subdimensions of affective, cognitive, and somatic symptoms to better understand profiles of symptoms most associated with these regions. Conceptualizing depressive symptoms in this way may also better inform treatment approaches in terms of targeting types of symptoms that may be more closely linked to poorer brain and cognitive health outcomes.