Prediction of Early Antidepressant Efficacy in Patients with Major Depressive Disorder Based on Multidimensional Features of rs-fMRI and <i>P11</i> Gene DNA Methylation: Prediction de l'efficacite precoce d'un antidepresseur chez des patients souffrant du trouble depressif majeur d'apres les caracteristiques multidimensionnelles de la methylation de l'ADN du gene P11 et de la IRMf-rs.

ABSTRACT:

Objective

This study established a machine learning model based on the multidimensional data of resting-state functional activity of the brain and P11 gene DNA methylation to predict the early efficacy of antidepressant treatment in patients with major depressive disorder (MDD).

Methods

A total of 98 Han Chinese MDD were analysed in this study. Patients were divided into 51 responders and 47 nonresponders according to whether the Hamilton Depression Rating Scale-17 items (HAMD-17) reduction rate was ≥50% after 2 weeks of antidepressant treatment. At baseline, the Illumina HiSeq Platform was used to detect the methylation of 74 CpG sites of the P11 gene in peripheral blood samples. Resting-state functional magnetic resonance imaging (rs-fMRI) scan detected the a

SUBMITTER: Wang T 

PROVIDER: S-EPMC10924577 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature