Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis
SE Cohen, JB Zantvoord, BN Wezenberg… - Translational …, 2021 - nature.com
No tools are currently available to predict whether a patient suffering from major depressive
disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic …
disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic …
Treatment response prediction in major depressive disorder using multimodal MRI and clinical data: secondary analysis of a randomized clinical trial
Objective: Response to antidepressant treatment in major depressive disorder varies
substantially between individuals, which lengthens the process of finding effective treatment …
substantially between individuals, which lengthens the process of finding effective treatment …
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 …
and genetic information can be considered as biomarkers. Together with machine‐learning …
SSRI treatment response prediction in depression based on brain activation by emotional stimuli
A Preuss, B Bolliger, W Schicho… - Frontiers in …, 2020 - frontiersin.org
Introduction: The prediction of antidepressant treatment response may improve outcome.
Functional magnetic resonance imaging (fMRI) of emotion processing in major depressive …
Functional magnetic resonance imaging (fMRI) of emotion processing in major depressive …
Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis
D Watts, RF Pulice, J Reilly, AR Brunoni… - Translational …, 2022 - nature.com
Selecting a course of treatment in psychiatry remains a trial-and-error process, and this long-
standing clinical challenge has prompted an increased focus on predictive models of …
standing clinical challenge has prompted an increased focus on predictive models of …
A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder
Introduction The heterogeneity of symptoms and complex etiology of depression pose a
significant challenge to the personalization of treatment. Meanwhile, the current application …
significant challenge to the personalization of treatment. Meanwhile, the current application …
Variance of the global signal as a pretreatment predictor of antidepressant treatment response in drug-naïve major depressive disorder
J Zhu, H Cai, Y Yuan, Y Yue, D Jiang, C Chen… - Brain imaging and …, 2018 - Springer
Several behavioral and neuroimaging markers could be used to predict eventual
antidepressant medication (ADM) outcomes in patients with major depressive disorder …
antidepressant medication (ADM) outcomes in patients with major depressive disorder …
Machine learning in major depression: From classification to treatment outcome prediction
S Gao, VD Calhoun, J Sui - CNS neuroscience & therapeutics, 2018 - Wiley Online Library
Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …
morbidity, and affects about 10% of the population worldwide. Currently, there are no …
A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder
Importance Biological psychiatry aims to understand mental disorders in terms of altered
neurobiological pathways. However, for one of the most prevalent and disabling mental …
neurobiological pathways. However, for one of the most prevalent and disabling mental …
The diagnostic performance of machine learning based on resting-state functional magnetic resonance imaging data for major depressive disorders: A systematic …
Y Chen, W Zhao, S Yi, J Liu - Frontiers in Neuroscience, 2023 - frontiersin.org
Objective Machine learning (ML) has been widely used to detect and evaluate major
depressive disorder (MDD) using neuroimaging data, ie, resting-state functional magnetic …
depressive disorder (MDD) using neuroimaging data, ie, resting-state functional magnetic …
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