Brain Activation Associated With Response to Psychotherapies for Late-Life Depression: A Task-Based fMRI Study.

Background: The course of late-life depression is associated with functioning of multiple brain networks. Understanding the brain mechanisms associated with response to psychotherapy can inform treatment development and a personalized treatment approach. This study examined how activation of key regions of the salience network, default mode network and reward systems is associated with response to psychotherapies for late-life depression.

A first look at diversity gaps in psychotherapy research publications and representation.

Objective: There is a pervasive underrepresentation of researchers and clinicians from diverse backgrounds in psychology. This is the first study to focus on diversity gaps in Psychotherapy Research. We examine a gap in the representation of research from low-income countries and summarize barriers and solutions to increase diversity in the field.

Cells have the ability to break and chemically modify GaP(As) nanowires.

Semiconductor nanowires are known for their unusual geometry, providing unique electronic and optical properties. Substrates with vertical nanowires have highly non-uniform surfaces, which are attractive in terms of the study of live cells that can interact and be labeled with the wires. Despite several previous works studying cells cultivated over nanowires, questions regarding cell rupture and interaction with the wires remain open.

Frontostriatal salience network expansion in individuals in depression.

Decades of neuroimaging studies have shown modest differences in brain structure and connectivity in depression, hindering mechanistic insights or the identification of risk factors for disease onset. Furthermore, whereas depression is episodic, few longitudinal neuroimaging studies exist, limiting understanding of mechanisms that drive mood-state transitions. The emerging field of precision functional mapping has used densely sampled longitudinal neuroimaging data to show behaviourally meaningful differences in brain network topography and connectivity between and in healthy individuals, but this approach has not been applied in depression.