AIMC Topic: Depressive Disorder, Major

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MDD-SSTNet: detecting major depressive disorder by exploring spectral-spatial-temporal information on resting-state electroencephalography data based on deep neural network.

Cerebral cortex (New York, N.Y. : 1991) Feb 5, 2025
Major depressive disorder (MDD) is a psychiatric disorder characterized by persistent lethargy that can lead to suicide in severe cases. Hence, timely and accurate diagnosis and treatment are crucial. Previous neuroscience studies have demonstrated t...
Male Depressive Disorder, Major Deep Learning Electroencephalography Rest Female Young Adult Adult Humans Neural Networks, Computer Brain
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Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors.

PloS one Jan 1, 2025
Depression presents a significant challenge to global mental health, often intertwined with factors including oxidative stress. Although the precise relationship with mitochondrial pathways remains elusive, recent advances in machine learning present...
Female Adult Male Severity of Illness Index Machine Learning Middle Aged Humans Peptides Oxidative Stress Depression Depressive Disorder, Major Algorithms Mitochondria Biomarkers
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Comparison of Different Machine Learning Methodologies for Predicting the Non-Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials.

Clinical and translational science Jan 1, 2025
Placebo effect represents a serious confounder for the assessment of treatment effect to the extent that it has become increasingly difficult to develop antidepressant medications appropriate for outperforming placebo. Treatment effect in randomized,...
Placebos Humans Neural Networks, Computer Depressive Disorder, Major Predictive Value of Tests Machine Learning Treatment Outcome Antidepressive Agents Randomized Controlled Trials as Topic Placebo Effect
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Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group.

Human brain mapping Jan 1, 2025
Accurately predicting individual antidepressant treatment response could expedite the lengthy trial-and-error process of finding an effective treatment for major depressive disorder (MDD). We tested and compared machine learning-based methods that pr...
Female Young Adult Adult Humans Machine Learning Treatment Outcome Magnetic Resonance Imaging Cerebral Cortex Antidepressive Agents Male Middle Aged Depressive Disorder, Major
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Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach.

Briefings in bioinformatics Nov 22, 2024
Major depressive disorder (MDD) is a severe psychiatric disorder that currently lacks any objective diagnostic markers. Here, we develop a deep learning approach to discover the mass spectrometric features that can discriminate MDD patients from heal...
Peptides Depressive Disorder, Major Deep Learning Humans Neural Networks, Computer Biomarkers
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Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Suicide poses a global health crisis with significant social and economic impact. Prevention may be possible if objective quantitative methods are developed to supplement the often inaccurate interview-based risk assessments. Our research goal is to ...
Middle Aged Rest Female Depressive Disorder, Major Humans Adult Suicidal Ideation Support Vector Machine Machine Learning Male Electroencephalography Algorithms Signal Processing, Computer-Assisted
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Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
While deep learning methods are increasingly applied in research contexts for neuropsychiatric disorder diagnosis, small dataset size limits their potential for clinical translation. Data augmentation (DA) could address this limitation, but the utili...
Depressive Disorder, Major Diagnosis, Computer-Assisted Deep Learning Electroencephalography Humans Signal Processing, Computer-Assisted Algorithms
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TAU-DI Net: A Multi-Scale Convolutional Network Combining Prob-Sparse Attention for EEG-based Depression Identification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
EEG-based detection of major depression disorder (MDD) plays a pivotal role in the subsequent treatment and recovery. With the rapid development of deep learning, CNN, LSTM, and attention-based models have been used for auxiliary diagnosis of MDD fro...
Electroencephalography Signal Processing, Computer-Assisted Humans Depressive Disorder, Major Neural Networks, Computer Depression Algorithms
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Neural substrates of predicting anhedonia symptoms in major depressive disorder via connectome-based modeling.

CNS neuroscience & therapeutics Jul 1, 2024
MAIN PROBLEM: Anhedonia is a critical diagnostic symptom of major depressive disorder (MDD), being associated with poor prognosis. Understanding the neural mechanisms underlying anhedonia is of great significance for individuals with MDD, and it enco...
Adult Male Middle Aged Depressive Disorder, Major Support Vector Machine Magnetic Resonance Imaging Brain Humans Anhedonia Female Connectome Young Adult
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MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal.

IEEE journal of biomedical and health informatics Jul 1, 2024
Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is often detected at a later stage of depression with a likelihood of suicidal ideation. Early detection of MDD is thus necessary to reduce the impact, ...
Depressive Disorder, Major Deep Learning Electrocardiography Signal Processing, Computer-Assisted Algorithms Humans Adult Male
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