Clin Psychopharmacol Neurosci
August 2022
Objective: Dysregulation of gene expression through epigenetic mechanisms may have a vital role in the pathogenesis of schizophrenia (SZ). In this study, we investigated the association of altered methylation patterns with SZ symptoms and early trauma in patients and healthy controls.
Methods: The present study was conducted to identify methylation changes in CpG sites in peripheral blood associated with recent-onset (RO) psychosis using methylome-wide analysis.
Background: The recent deep learning-based studies on the classification of schizophrenia (SCZ) using MRI data rely on manual extraction of feature vector, which destroys the 3D structure of MRI data. In order to both identify SCZ and find relevant biomarkers, preserving the 3D structure in classification pipeline is critical.
Objectives: The present study investigated whether the proposed 3D convolutional neural network (CNN) model produces higher accuracy compared to the support vector machine (SVM) and other 3D-CNN models in distinguishing individuals with SCZ spectrum disorders (SSDs) from healthy controls.
Objective: The purpose of this study was to develop a Brooding Scale (BS) and to confirm its psychometric properties.
Methods: A preliminary questionnaire was developed based on a literature review and face-to-face interviews with healthy subjects. To evaluate reliability and construct validity, a 15-item BS was administered to 124 healthy subjects.
Objective: Social defeat represents a naturalistic form of conditioned fear and is often used as an animal model of depression. The present study aimed to identify the neurochemicals in select brain regions of mice exposed to social defeat stress.
Methods: Adult C57BL/6N mice were subjected social defeat stress for 10 days.