Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group.

Accurately predicting individual antidepressant treatment response could expedite the lengthy trial-and-error process of finding an effective treatment for major depressive disorder (MDD). We tested and compared machine learning-based methods that predict individual-level pharmacotherapeutic treatment response using cortical morphometry from multisite longitudinal cohorts. We conducted an international analysis of pooled data from six sites of the ENIGMA-MDD consortium (n = 262 MDD patients; age = 36.

Deploying solar photovoltaic through subsidies: An Australian case.

Australia has garnered significant recognition for its leadership in residential solar energy adoption, driven by incentive programs like the Feed-in Tariff and the Small-Scale Renewable Energy Scheme. Yet limited research has evaluated the policy's effects on residential solar photovoltaics in Australia. We thus examine how Feed-in tariff policies and different policy packages affect residential solar PV adoption using the quarterly data from July 2009 to June 2022.

Meditation dosage predicts self- and teacher-perceived responsiveness to an 18-month randomised controlled trial.

Understanding the factors that predict why some individuals perceive to respond more to meditation training than others could impact the development, efficacy, adherence levels, and implementation of meditation-based interventions. We investigated individual-level variables associated with self- and teacher-perceived responsiveness to longer-term meditation training. This study presents a secondary analysis of the Age-Well trial (NCT02977819, 30/11/2016) and includes 90 healthy older adults (65-84 years) that were randomised to an 18-month meditation training or a non-native language (English) training.

Evaluating the macroeconomic impact of environmental policies in New Zealand: A New Keynesian DSGE model to sustainability.

This study enhances the environmental New Keynesian framework by integrating spatial spillover effects through a dynamic stochastic general equilibrium model. The simulation results reveal that while environmental regulations can lead to welfare losses, a carbon tax levy mitigates these losses more effectively than alternative approaches in New Zealand. What is surprising is the pro-cyclical nature of environmental policies.

Conventional and new immunotherapies for immune system dysregulation in postpartum mood disorders: comparisons to immune system dysregulations in bipolar disorder, major depression, and postpartum autoimmune thyroid disease.

Introduction: Postpartum mood disorders are heterogenous disorders and comprise postpartum psychosis and postpartum depression. Evidence is accumulating that systemic monocyte/macrophage activation, low-grade inflammation and (premature senescence related) T cell defects increase the risk for mood disorders outside pregnancy by affecting the function of microglia and T cells in the emotional brain (the cortico-limbic system) leading to inadequate mood regulation upon stress.

Areas Covered: The evidence in the literature that similar immune dysregulations are present in postpartum mood disorders.