Neuronal network mechanisms associated with depressive symptom improvement following electroconvulsive therapy.

Background: Electroconvulsive therapy (ECT) is the most effective antidepressant treatment for severe depression. Although recent structural magnetic resonance imaging (MRI) studies have consistently reported ECT-induced hippocampal volume increases, most studies did not find the association of the hippocampal volume changes with clinical improvement. To understand the underlying mechanisms of ECT action, we aimed to identify the longitudinal effects of ECT on hippocampal functional connectivity (FC) and their associations with clinical improvement.

Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning Approach.

Objective: To identify important clinical or imaging features predictive of an individual's response to electroconvulsive therapy (ECT) by utilizing a machine learning approach.

Methods: Twenty-seven depressed patients who received ECT were recruited. Clinical demographics and pretreatment structural magnetic resonance imaging (MRI) data were used as candidate features to build models to predict remission and post-ECT Hamilton Depression Rating Scale scores.

Molecular cloning and characterization of plerocercoid-immunosuppressive factor from Spirometra erinaceieuropaei.

A platyhelminth, Spirometra erinaceieuropaei, belonging to the class Cestoda, causes human sparganosis, and infection with its larva results in subtle inflammation in the body of its host. We previously reported the purification of a glycoprotein, plerocercoid-immunosuppressive factor (P-ISF) from the excretory/secretory products of S. erinaceieuropaei plerocercoids that may be involved in immuno-modification.

Thalamic volume, resting-state activity, and their association with the efficacy of electroconvulsive therapy.

Electroconvulsive therapy (ECT) is the most effective antidepressant treatment. Biological predictors of clinical outcome to ECT are valuable. We aimed to examine multimodal magnetic resonance imaging (MRI) data that correlates to the efficacy of ECT.

Dysconnectivity of the Agency Network in Schizophrenia: A Functional Magnetic Resonance Imaging Study.

Self-disturbances in schizophrenia have recently been explained by an abnormality in the sense of agency (SoA). The cerebral structures of SoA in healthy people are considered to mainly include the insula and inferior parietal lobule. In contrast, the functional lesion of aberrant SoA in schizophrenia is not yet fully understood.