Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Comprehensive Evaluation of Pipelines for Classification of Psychiatric Disorders Using Multi-Site Resting-State fMRI Datasets

Background Introduction The field of psychiatry has long relied on symptoms and medical interviews for diagnosis, lacking objective biomarkers. Resting-state functional magnetic resonance imaging (rs-fMRI) is widely believed to reveal characteristic patterns of brain structure and function, thereby providing potential classification markers for the...

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Anxiety Disorder Identification and Biomarker Detection Based on Subspace-Enhanced Hypergraph Neural Network Academic Background Anxiety Disorders (ADs) are prevalent mental health issues globally, affecting approximately 7.3% of the population. Patients with anxiety disorders typically exhibit excessive fear, worry, and related behavioral abnormal...

Discussing Expected Long-Term Quality of Life in the ICU: Effect on Experiences and Outcomes of Patients, Family, and Clinicians—A Randomized Clinical Trial

The Impact of Discussing Long-Term Quality of Life Predictions in the ICU on Patients, Families, and Healthcare Professionals Academic Background Patients discharged from the Intensive Care Unit (ICU) often face a range of physical, psychological, and cognitive issues, collectively referred to as Post-Intensive Care Syndrome (PICS). Despite improve...

Conformal Depression Prediction

Research on Depression Prediction Method Based on Conformal Prediction Background Introduction Depression is a common mental disorder characterized by persistent sadness, debilitation, and loss of interest in activities. It not only increases the risk of suicide but also imposes a significant psychological burden on patients and their families. Cur...

Functional Connectivity Analysis of Children with Autism Under Emotional Clips

Functional Connectivity Analysis of Children with Autism under Emotional Stimulation Background Introduction Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, primarily characterized by deficits in social interaction and communication abilities, as well as repetitive behaviors and restricted interests. One of the core feature...

TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection

A Novel Method for Depression Detection Based on Time-Frequency EEG: TFAGL Academic Background Major Depressive Disorder (MDD) is a common mental illness worldwide, characterized by symptoms such as sadness, guilt, and low self-esteem, accompanied by loss of interest, diminished enthusiasm for life, and disruptions in sleep or appetite. According t...

Mapping the Cellular Etiology of Schizophrenia and Complex Brain Phenotypes

Cell-Type Classification of Psychiatric Disorders: New Study Reveals Cellular Basis of Schizophrenia and Other Complex Brain Disorders Academic Background Psychiatric disorders, such as schizophrenia, depression, and bipolar disorder, are significant public health issues worldwide. These disorders are typically caused by a combination of multiple g...

A Distinct Hypothalamus–Habenula Circuit Governs Risk Preference

Study on the Hypothalamus-Habenula Circuit Regulating Risk Preference Academic Background In complex and uncertain environments, animals need to assess risks to make survival-favorable decisions. When faced with safe and risky options, animals usually exhibit a strong preference for one option, which remains consistent over time. However, how this ...

Establishing Functionally Segregated Dopaminergic Circuits

Functional Segregation of Dopaminergic Neural Circuits and Their Developmental Mechanisms Academic Background Dopamine is a crucial neurotransmitter in the brain, regulating various physiological functions, including motor control, emotional regulation, motivation, learning, and memory. Dopaminergic neurons are primarily located in the midbrain, an...

The Role of Electroencephalography in Epilepsy Research—From Seizures to Interictal Activity and Comorbidities

The Role of Electroencephalography in Epilepsy Research: From Seizures to Interictal Activity and Comorbidities Academic Background Since the early 20th century, electroencephalography (EEG) has been a key tool in epilepsy research. EEG technology not only helps scientists record and analyze brain signals but also reveals the pathophysiological mec...