[HTML][HTML] Prediction of early improvement of major depressive disorder to antidepressant medication in adolescents with radiomics analysis after ComBat …

H Ma, D Zhang, Y Wang, Y Ding, J Yang, K Li - BMC psychiatry, 2023 - Springer
Background Due to individual differences and lack of objective biomarkers, only 30-40%
patients with major depressive disorder (MDD) achieve remission after initial antidepressant …

[HTML][HTML] Cortical thickness predicts response following 2 weeks of SSRI regimen in first-episode, drug-naive major depressive disorder: an MRI study

P Wu, A Zhang, N Sun, L Lei, P Liu, Y Wang… - Frontiers in …, 2022 - frontiersin.org
Objective Major depression disorder (MDD) is a harmful disorder, and the pathological
mechanism remains unclear. The primary pharmacotherapy regimen for MDD is selective …

Altered whole‐brain functional networks in drug‐naive, first‐episode adolescents with major depression disorder

B Wu, X Li, J Zhou, M Zhang… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Neuroimaging studies have demonstrated disrupted brain functional networks
in major depression disorder (MDD); however, alterations to whole‐brain networks …

[HTML][HTML] Resting-state fMRI in predicting response to treatment with SSRIs in first-episode, drug-naive patients with major depressive disorder

A Zhang, X Wang, J Li, L Jing, X Hu, H Li… - Frontiers in …, 2022 - frontiersin.org
Objective For major depressive disorder (MDD), there has been a lack of neuroimaging
markers of efficacy of pharmacological treatment. In this study, we aimed to explore the …

[HTML][HTML] Brain imaging study on the pathogenesis of depression & therapeutic effect of selective serotonin reuptake inhibitors

Q Meng, A Zhang, X Cao, N Sun, X Li… - Psychiatry …, 2020 - ncbi.nlm.nih.gov
Objective Predefining the most effective treatment for patients with depressive disorders
remains a problem. We will examine the differential brain regions of gray matter (GM) in …

[HTML][HTML] Gray and white matter structural examination for diagnosis of major depressive disorder and subthreshold depression in adolescents and young adults: a …

H Ma, D Zhang, D Sun, H Wang, J Yang - BMC Medical Imaging, 2022 - Springer
Background Radiomics is an emerging image analysis framework that provides more details
than conventional methods. In present study, we aimed to identify structural radiomics …

Predicting neuroimaging biomarkers for antidepressant selection in early treatment of depression

L Xue, C Pei, X Wang, H Wang, S Tian… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Due to the biological heterogeneity, 60%–70% of patients with major
depressive disorder (MDD) do not respond to or achieve remission from first‐line …

[HTML][HTML] Discriminating subclinical depression from major depression using multi-scale brain functional features: a radiomics analysis

B Zhang, S Liu, X Liu, S Chen, Y Ke, S Qi, X Wei… - Journal of Affective …, 2022 - Elsevier
Background The diagnosis of subclinical depression (SD) currently relies exclusively on
subjective clinical scores and structured interviews, which shares great similarities with …

[HTML][HTML] Multimodal predictors of treatment response in major depressive disorder: advancing personalized medicine in psychiatry

ML Phillips - American Journal of Psychiatry, 2024 - Am Psychiatric Assoc
There is a critical need to identify objective predictive markers of treatment response in
major depressive disorder (MDD), given the high levels of illness morbidity and the fact that …

Ensemble learning for early‐response prediction of antidepressant treatment in major depressive disorder

C Pei, Y Sun, J Zhu, X Wang, Y Zhang… - Journal of Magnetic …, 2020 - Wiley Online Library
Background In order to reduce unsuccessful treatment trials for depression, neuroimaging
and genetic information can be considered as biomarkers. Together with machine‐learning …