AIMC Topic: Depressive Disorder, Major

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Recent developments in omics studies and artificial intelligence in depression and suicide.

Translational psychiatry
Major depressive disorder (MDD) is the most prevalent and severe form of mental illness and is significantly linked to suicide. At present, addressing the treatment and prevention of depression and suicide poses significant challenges, largely due to...

Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.

Translational psychiatry
Cognitive behavioral therapy (CBT) and pharmacotherapy are primary treatments for major depressive disorder (MDD). However, their differential effects on the neural networks associated with rumination, or repetitive negative thinking, remain poorly u...

Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.

Psychological medicine
BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and Schizophrenia (SCZ), is characterized by abnormalities in hedonic experience. Previous studies have used machine learning (ML) algorithms without focu...

Uncertainty aware domain incremental learning for cross domain depression detection.

Scientific reports
Deep learning techniques have demonstrated significant promise for detecting Major Depressive Disorder (MDD) from textual data but they still face limitations in real-world scenarios. Specifically, given the limited data availability, some efforts ha...

Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.

Translational psychiatry
Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising approach for the diagnosis and monitoring of psychosis, capturing symptoms like thought disorder and flattened affect. Recent advancements in Natural Lan...

Artificial intelligence driven neuropsychiatry: a systematic review of electroencephalography-based computational techniques for major depressive disorder prediction.

Neuroscience
Major Depressive Disorder is the most prominent global mental health issue impacting millions of individuals worldwide. Electroencephalogram signals capturing intricate brain dynamics have emerged as a promising modality for predicting depression. Th...

Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.

BMC psychology
INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with major depressive disorder(MDD) remains controversial. Therefore, the purpose of this study was to investigate the role NSSI plays in suicide risk in peopl...

Can circadian rhythms of heart rate variability identify major depressive disorder? - A study based on support vector machine analysis.

Asian journal of psychiatry
BACKGROUND: Major depressive disorder (MDD) is a prevalent and severe psychiatric condition for which objective diagnostic tools are lacking. Heart rate variability (HRV), an index of autonomic nervous system (ANS) function, has shown potential for d...

Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
Nearly 60 % of individuals with bipolar disorder (BD) are initially classified as major depressive disorder (MDD) patients, resulting in inappropriate drug treatment. Identifying reliable biomarkers for the differential diagnosis between MDD and BD p...

Real-world effectiveness of cariprazine in major depressive disorder and bipolar I disorder in the United States.

Journal of medical economics
AIMS: The efficacy of cariprazine for major depressive disorder (MDD) (adjunctive therapy) and bipolar I (BP-I) depression has been demonstrated in clinical trials. This study evaluated the real-world effectiveness of cariprazine in reducing depressi...