There is a strong medical need to develop suitable biomarkers to improve the diagnosis and
treatment of depression, particularly in predicting response to certain therapeutic …

Reliable predictors for electroconvulsive therapy (ECT) effectiveness would allow a more
precise and personalized approach for the treatment of major depressive disorder (MDD) …

Objective: Individuals who identify as lesbian, gay, bisexual, transgender, or queer (LGBTQ)
experience greater social exclusion and discrimination and higher rates of depression. Little …

Background Electroconvulsive therapy (ECT) is the most effective treatment for severe major
depressive episodes (MDEs). Nonetheless, firmly established associations between ECT …

Objective: Previous prediction models for electroconvulsive therapy (ECT) responses have
predominantly been based on neuroimaging data, which has precluded widespread …

Intervention Electroconvulsive therapy (ECT) is a commonly used treatment for severe
psychiatric illness in older adults, including in the 'older old'population aged 80 years and …

Electroconvulsive therapy (ECT) is the most effective antidepressant treatment, although its
mechanisms of action remain unclear. Since 2010, several structural magnetic resonance …

Objective High relapse rates are observed after electroconvulsive therapy (ECT) for major
depression. Identifying patients who are at increased risk for relapse to intensify their …

Patients and clinicians considering electroconvulsive therapy (ECT) for treatment-resistant
depression are faced with limited information about the likely long-term outcomes, and the …

Objective Electroconvulsive therapy (ECT) is an effective treatment for patients experiencing
a major depressive episode, especially older ones. Identification of specific responses within …