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...

Impact of Amplitude and Phase of fMRI Time Series for Functional Connectivity Analysis

The Impact of Amplitude and Phase-based MRI Time Series on Functional Connectivity Analysis Introduction Over the past decade, functional magnetic resonance imaging (fMRI) has emerged as a non-invasive imaging technique that uses blood oxygen level-dependent (BOLD) contrast to measure brain activity and study brain function (Kwong, 1996). By analyz...

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...

The Role of EEG Microstates in Predicting Oxcarbazepine Treatment Outcomes in Patients with Newly-Diagnosed Focal Epilepsy

The Role of EEG Microstates in Predicting Oxcarbazepine Treatment Outcomes in Patients with Newly-Diagnosed Focal Epilepsy

The Role of EEG Microstates in Predicting the Therapeutic Outcomes of Oxcarbazepine in Newly Diagnosed Focal Epilepsy Patients Introduction Background Focal epilepsy is the most common type of epilepsy, accounting for about 60% of all epilepsy cases. The selection of antiepileptic drugs (AEDs) varies depending on the type of epilepsy. In the treatm...

Schwann cell derived pleiotrophin stimulates fibroblast proliferation and excessive collagen deposition in plexiform neurofibroma

This study explores the interactions between Schwann cells and fibroblasts in neurofibromatosis type 1 (NF1) related plexiform neurofibroma (PNF). The background of the research is based on the high incidence of NF1, which affects about 1 in 3000 newborns worldwide and is associated with a series of unique clinical manifestations. PNF is a common p...

Single-cell atlas reveals the immunosuppressive microenvironment and Treg cells landscapes in recurrent glioblastoma

Single-Cell Atlas Reveals Immunosuppressive Microenvironment and Treg Cell Distribution in Recurrent Glioblastoma Glioblastoma is the most aggressive brain tumor, with a very high recurrence rate and poor prognosis. Although many studies have explored the tumor microenvironment of this disease, the understanding of the immune microenvironment in re...

Adeno-Associated Virus-Mediated Trastuzumab Delivery to the Central Nervous System for Human Epidermal Growth Factor Receptor 2+ Brain Metastasis

AAV-Mediated Trastuzumab Delivery to the Central Nervous System for EGFR2-Positive Brain Metastases Introduction In the treatment of breast cancer, tumors that are human epidermal growth factor receptor 2 (HER2) positive exhibit more aggressive characteristics, posing significant challenges for clinical treatment. Since the approval of trastuzumab ...

A Wearable Fluorescence Imaging Device for Intraoperative Identification of Human Brain Tumors

Malignant Glioma (MG) Report Malignant Glioma (MG) is the most common type of primary malignant brain tumor. Surgical resection of MG remains the cornerstone of treatment, and the extent of resection is highly correlated with patient survival. However, it is difficult to distinguish tumor tissue from normal tissue during surgery, which greatly limi...

An Explicit Estimated Baseline Model for Robust Estimation of Fluorophores Using Multiple-Wavelength Excitation Fluorescence Spectroscopy

Research Background Fluorescence spectroscopy is a widely used method for identifying and quantifying fluorescent substances (fluorophores). However, quantifying the fluorophores of interest becomes challenging when the material contains other fluorophores (baseline fluorophores), especially when the emission spectrum of the baseline is not well-de...

A Siamese-Transport Domain Adaptation Framework for 3D MRI Classification of Gliomas and Alzheimer’s Diseases

Classification of 3D MRI Gliomas and Alzheimer’s Disease Based on the Siamese-Transport Domain Adaptation Framework Background In computer-aided diagnosis, 3D magnetic resonance imaging (MRI) screening plays a vital role in the early diagnosis of various brain diseases, effectively preventing the deterioration of the condition. Glioma is a common m...