Psychedelic 5-HT2A Receptor Agonism Alters Neurovascular Coupling and Differentially Affects Neuronal and Hemodynamic Measures of Brain Function

Medicine, Basic Medical Sciences, Psychiatry, Neurology, Medical Imaging, Life Sciences, Biochemistry, Biophysics,
psychedelics   5-HT2A receptor   neurovascular coupling   brain function   hemodynamics   optical imaging   functional connectivity  

Mechanisms of Psychedelics in Neurovascular Coupling: A Latest Research Interpretation 1. Academic Background and Research Motivation In the past decade, psychedelics such as psilocybin and lysergic acid diethylamide (LSD) have regained high attention in the scientific community due to their rapid and significant efficacy in clinical fields such as...

Brain Tumors Induce Widespread Disruption of Calvarial Bone and Alteration of Skull Marrow Immune Landscape

Medicine, Basic Medical Sciences, Neurology, Neurosurgery, Hematology, Medical Imaging, Oncology, Life Sciences, Cell Biology, Biochemistry, Immunology,
brain tumor   calvarial bone   skull marrow   immune microenvironment   single-cell RNA sequencing   osteoclast   immune cell alteration  

A New Role for Skull Marrow Immune Microenvironment in Brain Tumors: Interpretation Based on Multicenter Studies in Mice and Humans 1. Academic Background and Research Significance Brain tumors, especially glioblastoma (GBM), are among the most aggressive malignant tumors in the central nervous system. Traditionally, they were considered localized ...

Analysis of Learned Feature Similarities to Diagnostic Criteria in Deep Learning-Based 12-Lead ECG Classification

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System,
deep learning   ECG   explainable AI   feature attribution   atrial fibrillation   left bundle branch block   biosignal processing  

Interpretability Research of Deep Learning in Automated ECG Diagnosis —— Progress Overview Based on Explainable AI 1. Academic Background and Problem Statement Electrocardiogram (ECG) is an important physiological signal acquisition method for clinical diagnosis of heart diseases, with a history of over a hundred years. In recent years, with the ra...

MASA-TCN: Multi-Anchor Space-Aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition

Information Science, Computer Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
EEG signals   emotion recognition   temporal convolutional neural network   space-aware   continuous regression   discrete classification   multi-anchor fusion  

A Breakthrough in EEG Emotion Recognition: The Proposal and Experimental Analysis of the MASA-TCN Unified Model Academic Background and Research Motivation Human emotion recognition has long been a popular research direction in neuroscience, artificial intelligence, and human-computer interaction. Automatic identification of individual emotional st...

AV-FOS: Transformer-Based Audio-Visual Multimodal Interaction Style Recognition for Children with Autism Using the Revised Family Observation Schedule 3rd Edition (FOS-R-III)

Information Science, Computer Science, Artificial Intelligence, Medicine, Pediatrics, Psychiatry, Clinical Psychology, Medical Imaging,
autism spectrum disorder   challenging behaviors   multimodal learning   self-supervised learning   video understanding   interaction style recognition   clinical observation  

1. Background: Clinical Challenges and Technological Prospects in Behavior Monitoring of Children with Autism Autism Spectrum Disorder (ASD, autism) is a lifelong neurodevelopmental disorder. In recent years, the prevalence of autism in the United States has risen rapidly, with current epidemiological data indicating that one in every 36 children i...

Spatial-Aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging

Information Science, Computer Science, Artificial Intelligence, Medicine, Ophthalmology, Medical Imaging,
Glaucoma detection   3D optical coherence tomography   Transformer   gated recurrent units   spatial coherence   artificial intelligence   clinical decision support  

1. Academic Background—Innovative Diagnostic Tools Urgently Needed for Early Glaucoma Screening Glaucoma is one of the major diseases leading to irreversible blindness worldwide. According to studies such as [31], glaucoma is characterized by hidden early symptoms and irreversible visual impairment, making early detection and intervention crucial. ...