Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model [PDF]
Speech based depression classification has gained immense popularity over the recent years. However, most of the classification studies have focused on binary classification to distinguish depressed subjects from non-depressed subjects. In this paper, we formulate the depression classification task as a severity level classification problem to provide ...
arxiv
Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies. [PDF]
In a genome-wide association study (GWAS) meta-analysis of 688,808 individuals with major depression (MD) and 4,364,225 controls from 29 countries across diverse and admixed ancestries, we identify 697 associations at 635 loci, 293 of which are novel ...
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium+1 more
core +1 more source
Sensor-AssistedWeighted Average Ensemble Model for Detecting Major Depressive Disorder [PDF]
The present methods of diagnosing depression are entirely dependent on self-report ratings or clinical interviews. Those traditional methods are subjective, where the individual may or may not be answering genuinely to questions.
Chang, Chuan-Yu+6 more
core +1 more source
Major depressive disorder: hypothesis, mechanism, prevention and treatment
Worldwide, the incidence of major depressive disorder (MDD) is increasing annually, resulting in greater economic and social burdens. Moreover, the pathological mechanisms of MDD and the mechanisms underlying the effects of pharmacological treatments for
Lulu Cui+9 more
semanticscholar +1 more source
Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder
Reduced haemodynamic response in the frontotemporal cortices of patients with major depressive disorder (MDD) has been demonstrated using functional near-infrared spectroscopy (fNIRS).
S. F. Husain+9 more
semanticscholar +1 more source
Comorbid depressive disorders in ADHD. the role of ADHD severity, subtypes and familial psychiatric disorders [PDF]
ObjectiveaaTo evaluate the presence of Major Depressive Disorder (MDD) and Dysthymic Disorder (DD) in a sample of Italian children with Attention Deficit Hyperactivity Disorder (ADHD) and to explore specific features of comorbid depressive disorders in ...
Andriola E+6 more
core +1 more source
Epigenetic prediction of major depressive disorder [PDF]
AbstractVariation in DNA methylation (DNAm) is associated with lifestyle factors such as smoking and body mass index (BMI) but there has been little research exploring its ability to identify individuals with major depressive disorder (MDD). Using penalised regression on genome-wide CpG methylation, we tested whether DNAm risk scores (MRS), trained on ...
Ian J. Deary+13 more
openaire +7 more sources
The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades.
L. Schmaal+91 more
semanticscholar +1 more source
Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders [PDF]
Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is ...
Bipolar Disorder Working Group of the Psychiatric Genomics Consortium+1 more
core
Significance Functional connectivity within the default mode network in patients with major depressive disorder has been frequently reported to be abnormal but with contradicting directions in previous studies with small sample sizes.
Chaogan Yan+64 more
semanticscholar +1 more source