AIMC Topic: Depressive Disorder, Major

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Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients.

Acta psychiatrica Scandinavica Aug 6, 2018
OBJECTIVE: This study determined the clinical utility of an fMRI classification algorithm predicting medication-class of response in patients with challenging mood diagnoses.
Humans Female Young Adult Adult Magnetic Resonance Imaging Diagnosis, Differential Connectome Nerve Net Depressive Disorder, Major Adolescent Bipolar Disorder Support Vector Machine
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Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study.

PloS one Jun 7, 2018
Identification of risk factors of treatment resistance may be useful to guide treatment selection, avoid inefficient trial-and-error, and improve major depressive disorder (MDD) care. We extended the work in predictive modeling of treatment resistant...
Antidepressive Agents Drug Resistance Depressive Disorder, Major Predictive Value of Tests Models, Biological Female Risk Factors Humans Adult Machine Learning Male Databases, Factual
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Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens.

Statistics in medicine Jun 5, 2018
Dynamic treatment regimens (DTRs) are sequential treatment decisions tailored by patient's evolving features and intermediate outcomes at each treatment stage. Patient heterogeneity and the complexity and chronicity of many diseases call for learning...
Depressive Disorder, Major Models, Statistical Outcome Assessment, Health Care Clinical Protocols Humans Machine Learning Algorithms Precision Medicine
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A morphometric signature of depressive symptoms in unmedicated patients with mood disorders.

Acta psychiatrica Scandinavica Apr 22, 2018
OBJECTIVE: A growing literature indicates that unipolar depression and bipolar depression are associated with alterations in grey matter volume. However, it is unclear to what degree these patterns of morphometric change reflect symptom dimensions. H...
Humans Machine Learning Female Severity of Illness Index Bipolar Disorder Magnetic Resonance Imaging Gray Matter Young Adult Adult Male Depressive Disorder, Major Cerebral Cortex
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Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder.

Scientific reports Apr 3, 2018
Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorder (MDD). ECT can induce neurogenesis and synaptogenesis in hippocampus, which contains distinct subfields, e.g., the cornu ammonis (CA) subfields, a g...
Treatment Outcome Female Organ Size Adult Humans Hippocampus Male Machine Learning Electroconvulsive Therapy Depressive Disorder, Major
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GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

Journal of psychiatric research Feb 2, 2018
Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large variability is observed in terms of response to antidepressants. Machine learning (ML) models may be ...
Serotonin and Noradrenaline Reuptake Inhibitors Support Vector Machine Outcome Assessment, Health Care Duloxetine Hydrochloride Female Adult Sensitivity and Specificity Male Middle Aged Humans Depressive Disorder, Major Prognosis Genome-Wide Association Study Polymorphism, Single Nucleotide
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Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network.

Computational and mathematical methods in medicine Dec 14, 2017
High-order functional connectivity networks are rich in time information that can reflect dynamic changes in functional connectivity between brain regions. Accordingly, such networks are widely used to classify brain diseases. However, traditional me...
Neurology False Positive Reactions Neural Pathways Nerve Net Adult Humans Brain Machine Learning Male Adolescent Female Algorithms Middle Aged Reproducibility of Results Support Vector Machine Depressive Disorder, Major Young Adult Magnetic Resonance Imaging Brain Mapping
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Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features.

Neuroscience bulletin Nov 2, 2017
Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive disorder (MDD). The relations between cognitive features may be represented by neurocognitive graphs based on cognitive features, modeled as Gaussian ...
Humans Machine Learning Algorithms Endophenotypes Depressive Disorder, Major Female Schizophrenia Young Adult Markov Chains Adult Neuropsychological Tests Male
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Estimation and evaluation of linear individualized treatment rules to guarantee performance.

Biometrics Sep 28, 2017
In clinical practice, an informative and practically useful treatment rule should be simple and transparent. However, because simple rules are likely to be far from optimal, effective methods to construct such rules must guarantee performance, in ter...
Precision Medicine Depressive Disorder, Major Supervised Machine Learning Biometry Statistics as Topic Humans Decision Support Techniques Computer Simulation
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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Medical & biological engineering & computing Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
Electroencephalography Humans Models, Theoretical Middle Aged Female Support Vector Machine Young Adult Depressive Disorder, Major Reproducibility of Results Bayes Theorem Adult Surveys and Questionnaires Sensitivity and Specificity Logistic Models Male
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