Study on the Relationship between Macroscopic Intrinsic Dynamics and Microcircuit Functions in Epilepsy Research Background Epilepsy is a group of neurological disorders characterized by abnormal spontaneous brain activity, involving multi-scale changes in brain functional organization. However, it remains unclear to what extent epilepsy-related sp...
Research Report on Changes in Functional Connectivity in Post-Stroke Epilepsy (PSE) Patients Based on Source-Level EEG and Graph Theory Research Background Epilepsy has various etiologies, including idiopathic, congenital, head trauma, central nervous system infections, brain tumors, neurodegenerative diseases, and cerebrovascular diseases. Among t...
Research Report on the Integration of Medical Relation Extraction and Knowledge Graph-Based Recommendations Background Introduction In the medical field, the explosive growth of literature makes it challenging for researchers to keep up with the latest advancements in their specific areas. From the perspective of natural language processing (NLP), ...
This paper is a study on the phenotypic associations and neurobiological bases of single-subject morphological brain networks. Combining multimodal and multiscale data, this study reveals the differences in morphological brain networks between genders, their potential as individual-specific markers, and their relationships with gene expression, lay...
The Mechanism of Action of Specific Reprogramming of Histone H3 Lysine 9 Acetylation (H3K9ac) in the Progression and Metastasis of Esophageal Squamous Cell Carcinoma (ESCC) Background Esophageal cancer is one of the most prevalent and invasive malignant tumors globally, causing over 500,000 cancer-related deaths annually, ranking sixth among cancer...
GRIN2A Mutations as a Novel Indicator for Stratifying Beneficiaries of Immune Checkpoint Inhibitors in Various Cancers Background Immune checkpoint inhibitors (ICIs) therapy, which modulates the cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death (ligand) 1 (PD-(L)1) pathways, has made revolutionary progress in treating v...
The Antitumor Effect of Dual Inhibition of NAMPT and PAK4 in a 3D Spheroid Model of Platinum-Resistant Ovarian Cancer Platinum-resistant ovarian cancer is a malignant gynecological tumor that is difficult to treat and has a short patient survival period. In recent years, researchers have sought new treatment strategies, targeting cancer stem cells ...
Sleep stage classification is crucial for sleep quality assessment and disease diagnosis. However, existing classification methods still face numerous challenges in handling the spatial and temporal features of time-varying multi-channel brain signals, coping with individual differences in biological signals, and model interpretability. Traditional...
Revealing the Neuromechanism of Interhemispheric Balance Restoration in Chronic Stroke Patients through EMG-driven Robot Hand Training: Insights from Dynamic Causal Modeling Stroke is a common cause of disability, with most stroke survivors suffering from upper limb paralysis. The consequences of upper limb functional impairment can persist for ove...
Brain-Computer Interface (BCI) technology has rapidly developed in recent years and is considered a cutting-edge technology that allows external devices to be controlled directly by the brain without the need for peripheral nerves and muscles. Particularly in the application of Motor Imagery Electroencephalography (MI-EEG), BCI technology has shown...