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...
The Impact of Robot Monitoring Behavior on Distraction and Technology Acceptance in Older Adults Academic Background With the intensification of societal aging, the demand for elderly care is increasing. Especially during the COVID-19 pandemic, psychological and physiological health issues faced by older adults due to social isolation have become m...
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...
Academic Background In human social interactions, gaze is one of the most important ways to convey information. Research has shown that human gaze can influence others’ attention, cognition, and even preferences. For example, when a person looks at an object, the observer tends to believe that the object is attractive to the gazer, which in turn in...
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...
Cross-Subject EEG Emotion Recognition Research Based on Multi-Scale Hyperbolic Contrastive Learning Academic Background Electroencephalography (EEG), as a physiological signal, plays an important role in the field of affective computing. Compared with traditional non-physiological cues (such as facial expressions or voice), EEG signals have higher ...
Compartmentalized Dendritic Plasticity in the Mouse Retrosplenial Cortex Links Contextual Memories Formed Close in Time Academic Background Memory formation is a dynamic process where individual memories are stored, updated, and integrated into the framework of other preexisting memories to drive adaptive behavior. Recent studies have shown that th...
Dual Functions of Pericytes and Perivascular Fibroblasts in Cerebrovascular Regeneration After Stroke Academic Background Stroke is one of the leading causes of death and disability worldwide. Current therapeutic interventions are mostly limited to acute thrombolytic treatment or thrombectomy, followed by long-term rehabilitation. However, the long...
Inferring Latent Neural Circuits from Heterogeneous Neural Responses During Cognitive Tasks Academic Background In cognitive tasks, higher cortical areas of the brain (such as the prefrontal cortex, PFC) are responsible for integrating a variety of sensory, cognitive, and motor signals. However, the responses of individual neurons often exhibit com...
Separating Cognitive and Motor Processes: A Breakthrough in Mouse Behavioral Research Academic Background In the study of animal behavior, cognitive processes and motor processes are often closely intertwined. For example, when a mouse explores its environment, its facial expressions or active sampling behaviors not only reflect movement but are al...