Despite years of research, we are still not able to reliably predict who might benefit from
electroconvulsive therapy (ECT) treatment. As we exhaust what is possible using traditional …

Depressive disorders are highly heterogeneous in nature. Previous studies have not been
useful for the clinical diagnosis and prediction of outcomes of major depressive disorder …

Objectives We investigated the predictive value of subset scales and full versions of the
Hamilton Rating Scale for Depression (HAMD) for therapeutic outcomes in ECT. Methods …

The search for a biological marker predicting the future failure or success of
electroconvulsive therapy (ECT) remains highly challenging for patients with treatment …

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

BackgroundElectroconvulsive therapy (ECT) is the most effective intervention for patients
with treatment resistant depression. A clinical decision support tool could guide patient …

Electroconvulsive therapy (ECT) is one of the most effective treatments for treatment-
resistant depression. However, the underlying mechanisms of action are not yet fully …

Background Electroconvulsive therapy (ECT) is an effective treatment for patients suffering
from depression. Yet the exact neurobiological mechanisms underlying the efficacy of ECT …

Abstract Purpose of Review In the context of the current global move towards precision
medicine, considering the adverse effects, costs and efficacy limitations of electroconvulsive …

Electroconvulsive therapy (ECT) has been practiced for more than 8 decades, and yet, the
long-standing debate regarding the pros and cons of obtaining screening neuroimaging …