AIMC Topic: Depressive Disorder, Major

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Predicting individual clinical trajectories of depression with generative embedding.

NeuroImage. Clinical Feb 17, 2020
Patients with major depressive disorder (MDD) show heterogeneous treatment response and highly variable clinical trajectories: while some patients experience swift recovery, others show relapsing-remitting or chronic courses. Predicting individual cl...
Humans Prognosis Female Adult Support Vector Machine Magnetic Resonance Imaging Brain Mapping Image Interpretation, Computer-Assisted Male Middle Aged Disease Progression Depressive Disorder, Major
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Deep learning-based automated speech detection as a marker of social functioning in late-life depression.

Psychological medicine Jan 16, 2020
BACKGROUND: Late-life depression (LLD) is associated with poor social functioning. However, previous research uses bias-prone self-report scales to measure social functioning and a more objective measure is lacking. We tested a novel wearable device ...
Humans Speech England Wearable Electronic Devices Attention Neuropsychological Tests Social Interaction Aging Female Social Adjustment Depressive Disorder, Major Aged Case-Control Studies Aged, 80 and over Deep Learning Male
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Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression.

JAMA network open Jan 3, 2020
IMPORTANCE: Social and economic costs of depression are exacerbated by prolonged periods spent identifying treatments that would be effective for a particular patient. Thus, a tool that reliably predicts an individual patient's response to treatment ...
Reproducibility of Results Adult Sensitivity and Specificity Male Machine Learning Humans Biomarkers Support Vector Machine Prognosis Female Predictive Value of Tests Middle Aged Electroencephalography Depressive Disorder, Major Citalopram Canada Antidepressive Agents, Second-Generation Treatment Outcome
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Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists Dec 30, 2019
INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. The aim of this study was to identify potential pathological genes in MDD.
Databases, Genetic Gene Expression Gene Ontology Female Reproducibility of Results Aged Male Reverse Transcriptase Polymerase Chain Reaction Middle Aged Protein Interaction Maps Humans Depressive Disorder, Major Computational Biology
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Ensemble Learning for Early-Response Prediction of Antidepressant Treatment in Major Depressive Disorder.

Journal of magnetic resonance imaging : JMRI Dec 20, 2019
BACKGROUND: In order to reduce unsuccessful treatment trials for depression, neuroimaging and genetic information can be considered as biomarkers. Together with machine-learning methods, prediction models have proved to be valuable for baseline predi...
Antidepressive Agents Machine Learning Prospective Studies Depressive Disorder, Major Support Vector Machine Humans
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Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Journal of medical systems Dec 13, 2019
Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a person thinks, acts or feels. MDD has become a major disease affecting millions of people presently. The diagnosis of depression is questionnaire based a...
Logistic Models Support Vector Machine Bayes Theorem Electroencephalography Humans Female Adult Male Middle Aged Depressive Disorder, Major Image Processing, Computer-Assisted
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Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.

Translational psychiatry Nov 11, 2019
Machine learning methods show promise to translate univariate biomarker findings into clinically useful multivariate decision support systems. At current, works in major depressive disorder have predominantly focused on neuroimaging and clinical pred...
Depressive Disorder, Major Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging Predictive Value of Tests Area Under Curve Patient Readmission Antidepressive Agents Aged Adult Male Machine Learning Middle Aged Biomarkers Brain Female Humans
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ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder.

Genes Nov 7, 2019
Treating patients with major depressive disorder is challenging because it takes several months for antidepressants prescribed for the patients to take effect. This limitation may result in increased risks and treatment costs. To address this limitat...
Treatment Outcome Humans Antidepressive Agents Neural Networks, Computer Drug Resistance Software Depressive Disorder, Major
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A network perspective on body dysmorphic disorder and major depressive disorder.

Journal of affective disorders Nov 5, 2019
BACKGROUND: Body dysmorphic disorder (BDD) is a highly debilitating mental disorder associated with notable psychosocial impairment and high rates of suicidality. This study investigated BDD from a network perspective, which conceptualizes mental dis...
Humans Neural Networks, Computer Female Depressive Disorder, Major Adult Compulsive Behavior Cross-Sectional Studies Body Dysmorphic Disorders Male Middle Aged
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Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.

Computational and mathematical methods in medicine Nov 4, 2019
In recent years, functional brain network topological features have been widely used as classification features. Previous studies have found that network node scale differences caused by different network parcellation definitions significantly affect...
Nerve Net Cluster Analysis Adult Brain Mapping Humans Brain Diagnosis, Computer-Assisted Male Medical Informatics Neural Networks, Computer Adolescent Female Middle Aged Pattern Recognition, Automated Machine Learning Support Vector Machine Reproducibility of Results Depressive Disorder, Major Algorithms Magnetic Resonance Imaging Young Adult
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