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Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Major Depressive Disorder
This paper focuses on the modelling of an experiment concerning the emotional response as a result of thinking about happy memories for non-depressed...
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EEG Based Major Depressive Disorder (MDD) Detection Using Machine Learning
Major Depressive Disorder (MDD), is a malady which has perturbed many around the globe. It has become a gigantic health concern for this world and...
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DSNet: EEG-Based Spatial Convolutional Neural Network for Detecting Major Depressive Disorder
Major depressive disorder (MDD) is a mental disease that has a severe negative impact on people’s daily lives, which has become a leading global...
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SE-1DCNN-LSTM: A Deep Learning Framework for EEG-Based Automatic Diagnosis of Major Depressive Disorder and Bipolar Disorder
As two typical subtypes of depression, bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in the early stage. Accurate...
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Detecting Major Depressive Disorder by Graph Neural Network Exploiting Resting-State Functional MRI
Major Depressive Disorder (MDD) has raised concern worldwide because of its prevalence and ambiguous neuropathophysiology. Resting-state functional...
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EEG-Based Joint Semi-supervised Learning for Major Depressive Disorder Detection
Major Depressive Disorder (MDD) has been a major mental disease in recent years, imposing huge negative impacts on both our society and individuals....
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5-HTR2B and SLC6A3 as potential molecular targets of sertraline in the treatment of major depressive disorder: the use of bioinformatics and its practical implication
Major depressive disorder (MDD) is known to be a highly limiting and disabling disorder worldwide. The main management for this disorder is based on...
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A Study of Artificial Intelligence Frameworks and Their Capability to Diagnose Major Depressive Disorder
The accurate diagnosis of mental illness is challenging because mental illness does not result in evident physical symptoms as compared to physical...
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Social and Non-social Reward Learning Contexts for Detection of Major Depressive Disorder Using EEG: A Machine Learning Approach
Major Depressive Disorder (MDD) is a leading cause of disability globally and a major cause of suicide deaths. Improving our understanding of MDD is...
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Resting-State Electroencephalography (EEG)-Based Diagnosis System for Drug-Naive Female Major Depressive Disorder Patients
A resting-state EEG-based computer-aided diagnosis (CAD) system could assist the accurate diagnosis of major depressive disorder (MDD) patients. The...
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Algorithm for Medical Diagnostic Support Using Machine and Deep Learning for Depressive Disorder Based on Electroencephalogram Readings
Depression is one of the most common mental disorders affecting 121 million people worldwide. Depression is more than a low mood and those who suffer...
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Arousing a wide range of emotions within educational virtual reality simulation about major depressive disorder affects knowledge retention
The experience of using an educational application, concerning a major depressive disorder simulation, could be anything but pleasant, so the...
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Automatic classification of depressive users on Twitter including temporal analysis
In recent years, identifying traits of mental illness on social media platforms have caught researchers’ attention. Unfortunately, different mental...
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SLG-NET: Subgraph Neural Network with Local-Global Braingraph Feature Extraction Modules and a Novel Subgraph Generation Algorithm for Automated Identification of Major Depressive Disorder
Major depressive disorder (MDD) is a severe mental illness that poses significant challenges to both society and families. Recently, several graph...
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Automated major depressive disorder detection using melamine pattern with EEG signals
Major depressive disorder (MDD) is one of the most common modern ailments affected huge population throughout the world. The electroencephalogram...
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Linguistic Indicators of Depressive Symptoms in Conversations with Virtual Humans
Depression is a major public health concern that currently lacks reliable biomarkers for diagnosis and assessment. This study aims to analyse...
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Decoding depressive disorder using computer vision
This paper intends to decode depressive disorder using computer vision. Facial expressions rendered by a depressive and non-depressive person were...
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Association Analysis of Gene Expression and Brain Image Identifies Gene Signatures in Major Depression Disorder
Major depression disorder (MDD) usually comes with structural and functional alterations of the brain, which are determined by altered gene...
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An early assessment of Persistent Depression Disorder using machine learning algorithm
Although various algorithms and strategies have been proposed for predicting depression and anxiety, none of the work is still suggested for an...
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Determining the influence of depressive mood and self-disclosure on problematic mobile app use and declined educational attainment: Insight from stressor-strain-outcome perspective
Although problematic mobile app usage and its correlated negative consequences have become increasingly prevalent, little detailed attention was...
