biostudies-literatureWang TJiangsu Provincial Key Research and Development ProgramNational Natural Science Foundation of China264-274https://www.ebi.ac.uk/biostudies/studies/S-EPMC10924577biostudies-literatureUnknown69(4)<h4>Objective</h4>This study established a machine learning model based on the multidimensional data of resting-state functional activity of the brain and <i>P11</i> gene DNA methylation to predict the early efficacy of antidepressant treatment in patients with major depressive disorder (MDD).<h4>Methods</h4>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 <i>P11</i> gene in peripheral blood samples. Resting-state functional magnetic resonance imaging (rs-fMRI) scan detected the aCanadian journal of psychiatry. Revue canadienne de psychiatriePrediction of Early Antidepressant Efficacy in Patients with Major Depressive Disorder Based on Multidimensional Features of rs-fMRI and &lt;i&gt;P11&lt;/i&gt; 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.PMC10924577BE2019748819013758227157081971277Yin YHou ZLi JLi LGao CLiu XJiang WWang TChen SKong YYue YXu ZYuan YfalsePrediction of Early Antidepressant Efficacy in Patients with Major Depressive Disorder Based on Multidimensional Features of rs-fMRI and &lt;i&gt;P11&lt;/i&gt; 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.<h4>Objective</h4>This study established a machine learning model based on the multidimensional data of resting-state functional activity of the brain and <i>P11</i> gene DNA methylation to predict the early efficacy of antidepressant treatment in patients with major depressive disorder (MDD).<h4>Methods</h4>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 <i>P11</i> gene in peripheral blood samples. Resting-state functional magnetic resonance imaging (rs-fMRI) scan detected the a2024-01-01T00:00:00Z2024 Apr2025-04-04T18:53:41.738Z2025-04-04T18:53:41.738ZS-EPMC109245773792095810.1177/07067437231210787