Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic Functional Brain Network Generation

Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic Functional Brain Network Generation

Graph-Based Conditional Generative Adversarial Network for Generating Synthetic Functional Brain Networks to Diagnose Major Depressive Disorder Research Background: Major Depressive Disorder (MDD) is a widespread mental disorder that affects millions of people’s lives and poses a significant threat to global health. Studies have shown that function...

Epilepsy Surgery for Dominant-Side Mesial Temporal Lobe Epilepsy without Hippocampal Sclerosis

Evaluation of Efficacy of Epilepsy Surgery for Dominant Mesial Temporal Lobe Epilepsy without Hippocampal Sclerosis Original Research | Journal of Clinical Neuroscience 111 (2023) 16-21 Introduction Approximately 0.5%-1% of the global population suffers from epilepsy (Fiest et al. 2017), with about 30% of these patients being refractory to medicati...

Salivary Testosterone Levels and Pain Perception Exhibit Sex-Specific Association in Healthy Adults but Not in Patients with Migraine

The Level of Salivary Testosterone and Pain Perception Show Sex-Specific Associations in Healthy Adults, But Not in Migraine Patients Introduction Understanding the complexity of pain and the role gender plays in pain perception is of significant importance in medical research. Pain is an unpleasant sensory and emotional experience associated with ...

Investigation of the Impact of Cross-Frequency Coupling on the Assessment of Depression Severity through the Analysis of Resting State EEG Signals

Background Depression, particularly Major Depressive Disorder (MDD), is a widespread and debilitating psychological disease often described as the “common cold” of mental health. Many people with MDD experience symptoms such as persistent sadness, hopelessness, cognitive impairment, and loss of motivation for daily activities, severely affecting pe...

Networked Information Interactions in Schizophrenia Magnetoencephalograms based on Permutation Transfer Entropy

Study of Network Information Interactions in Schizophrenia Magnetoencephalograms Based on Permutation Transfer Entropy Academic Background Schizophrenia (SCZ) is a mental disorder characterized by persistent delusions and hallucinations, disorganized thinking, and inconsistent behavior, often leading to significant impairment in the perception of r...

Functional Brain Network Based on Improved Ensemble Empirical Mode Decomposition of EEG for Anxiety Analysis and Detection

Brain Functional Network for Anxiety Analysis and Detection Based on Improved Ensemble Empirical Mode Decomposition Academic Background and Research Objectives With the increasing stress of modern life, anxiety, a common neurological disorder, has become an urgent issue in global public health. Anxiety not only manifests as mental disorders but als...

Spatiotemporal Responses to Emotional Conflict and Its Psychiatric Correlates in Adolescents with Epilepsy Using Magnetoencephalography

Spatiotemporal Responses to Emotional Conflict and Its Psychiatric Correlates in Adolescents with Epilepsy Using Magnetoencephalography

Spatio-Temporal Responses of Emotional Conflict and Psychiatric Correlation in Adolescent Epilepsy Patients Research Background Epilepsy patients often experience comorbid mental disorders such as depression and anxiety, which negatively impact their quality of life. Emotional regulation is a critical cognitive process that is frequently impaired i...

Magnetoencephalography-Derived Oscillatory Microstate Patterns Across Lifespan: The Cambridge Centre for Ageing and Neuroscience Cohort

Application of Magnetoencephalography (MEG) to Analyze Changes in Whole-Brain Oscillatory Microstate Patterns Across the Lifespan: Cambridge Centre for Aging and Neuroscience Cohort Study Research Background With the increasing seriousness of the aging population problem, understanding the neurophysiological changes during the aging process becomes...

Neural Representations of Perspectival Shapes and Attentional Effects: Evidence from fMRI and MEG

Neural Representation of Perspective Shapes and the Effect of Attention: Evidence from fMRI and MEG Introduction We always perceive objects from a specific perspective. In many cases, the shape we rely on when observing an object, the perspective shape, differs from its objective shape, the physical shape in the real world. For instance, a coin rot...

Spatiotemporal Brain Hierarchies of Auditory Memory Recognition and Predictive Coding

Spatiotemporal Brain Hierarchies of Auditory Memory Recognition and Predictive Coding

The Spatiotemporal Hierarchical Structure of the Brain in Auditory Memory Recognition and Predictive Coding Background This study aims to explore the hierarchical brain mechanisms involved in human identification of previously memorized music sequences and their systematic changes. While extensive research has been conducted on neural processing of...