AIMC Topic: Depressive Disorder, Major

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Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression.

Biological psychiatry. Cognitive neuroscience and neuroimaging Oct 22, 2019
BACKGROUND: Theoretical models have emphasized systems-level abnormalities in major depressive disorder (MDD). For unbiased yet rigorous evaluations of pathophysiological mechanisms underlying MDD, it is critically important to develop data-driven ap...
Humans Machine Learning Female Young Adult Double-Blind Method Adult Reward Male Dopamine Depressive Disorder, Major Antidepressive Agents, Second-Generation Depression Amisulpride
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Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

International journal of medical informatics Sep 27, 2019
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED).
Humans Machine Learning Depressive Disorder, Major Case-Control Studies User-Computer Interface Decision Support Systems, Clinical Algorithms Retrospective Studies Female Male Emergency Service, Hospital Quality Improvement Documentation Forms and Records Control
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Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features.

NeuroImage. Clinical Sep 5, 2019
BACKGROUND: The development of optimal classification criteria for specific mental disorders which share similar symptoms is an important issue for precise diagnosis. We investigated whether P300 features in both sensor-level and source-level could b...
Male Electroencephalography Middle Aged Cerebral Cortex Humans Depressive Disorder, Major Event-Related Potentials, P300 Machine Learning Stress Disorders, Post-Traumatic Female Adult
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Symptomatology differences of major depression in psychiatric versus general hospitals: A machine learning approach.

Journal of affective disorders Sep 4, 2019
BACKGROUND: Symptomatology differences of major depressive disorder (MDD) in psychiatric and general hospitals in China leads to possible misdiagnosis. Looking at the symptomatology of first-visit patients with MDD in different mental health services...
Adult Symptom Assessment Humans Diagnostic Errors Depressive Disorder, Major Diagnostic and Statistical Manual of Mental Disorders Machine Learning Male China Female Hospitals, General Middle Aged Young Adult Hospitals, Psychiatric Surveys and Questionnaires Suicidal Ideation
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Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol.

Computers in biology and medicine Aug 4, 2019
BACKGROUND: Major depressive disorder (MDD) is one of the leading causes of disability; however, current MDD diagnosis methods lack an objective assessment of depressive symptoms. Here, a machine learning approach to separate MDD patients from health...
Heart Rate Mental Processes Depressive Disorder, Major Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Humans Female Adult Male Middle Aged
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A difference degree test for comparing brain networks.

Human brain mapping Jul 26, 2019
Recently, there has been a proliferation of methods investigating functional connectivity as a biomarker for mental disorders. Typical approaches include massive univariate testing at each edge or comparisons of network metrics to identify differing ...
Magnetic Resonance Imaging Connectome Nerve Net Adult Male Middle Aged Depressive Disorder, Major Humans Neural Networks, Computer Computer Simulation Female
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Application of machine learning to structural connectome to predict symptom reduction in depressed adolescents with cognitive behavioral therapy (CBT).

NeuroImage. Clinical Jul 2, 2019
PURPOSE: Adolescent major depressive disorder (MDD) is a highly prevalent, incapacitating and costly illness. Many depressed teens do not improve with cognitive behavioral therapy (CBT), a first-line treatment for adolescent MDD, and face devastating...
Diffusion Tensor Imaging Cognitive Behavioral Therapy Depressive Disorder, Major Adolescent Outcome Assessment, Health Care Connectome Humans Machine Learning Brain Female Male
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Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging.

Psychiatry research. Neuroimaging Jun 11, 2019
Molecular biological findings indicate that affective disorders are associated with processes akin to accelerated aging of the brain. The use of the BrainAGE (brain age estimation gap) framework allows machine-learning based detection of a gap betwee...
Adult Male Middle Aged Depressive Disorder, Major Aging, Premature Brain Case-Control Studies Magnetic Resonance Imaging Humans Female Pilot Projects Statistics as Topic Aged Machine Learning Young Adult
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Machine learning-aided personalized DTI tractographic planning for deep brain stimulation of the superolateral medial forebrain bundle using HAMLET.

Acta neurochirurgica May 30, 2019
BACKGROUND: Growing interest exists for superolateral medial forebrain bundle (slMFB) deep brain stimulation (DBS) in psychiatric disorders. The surgical approach warrants tractographic rendition. Commercial stereotactic planning systems use determin...
Male Middle Aged Depressive Disorder, Major Neurosurgical Procedures Deep Brain Stimulation Stereotaxic Techniques Diffusion Tensor Imaging Patient Care Planning Machine Learning Algorithms Female Adult Humans Obsessive-Compulsive Disorder Medial Forebrain Bundle
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Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal.

Journal of affective disorders May 28, 2019
BACKGROUND: Prediction of therapeutic outcome of repetitive transcranial magnetic stimulation (rTMS) treatment is an important purpose that eliminates financial and psychological consequences of applying inefficient therapy. To achieve this goal we p...
Treatment Outcome Electroencephalography Transcranial Magnetic Stimulation Humans Machine Learning Sensitivity and Specificity Algorithms Male Prognosis Middle Aged Female Depressive Disorder, Major Adult
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