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

Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
epilepsy   adolescence   emotional conflict regulation   magnetoencephalography   depression   anxiety   cluster-based permutation tests  

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

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
EEG microstates   antiseizure medications   oxcarbazepine   machine learning   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...

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

Engineering, Electrical Engineering, Medicine, Neurology, Neurosurgery, Medical Imaging, Life Sciences, Bioengineering,
Intraoperative imaging device   Malignant glioma   Brain tumors   Fluorescence-guided surgery   Wearable device  

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

Physics, Optics, Chemistry, Analytical Chemistry, Medicine, Medical Laboratory Science, Neurology, Neurosurgery, Medical Imaging, Oncology, Life Sciences, Bioengineering,
fluorescence spectroscopy   multiple-wavelength excitation   fluorophores   baseline model   non-linear optics   neuro-oncology   glioma  

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...

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas from MRI

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurosurgery, Medical Imaging, Oncology,
gliomas   IDH prediction   multi-level features   MRI   feature fusion  

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in MRI Background Glioma is the most common malignant primary brain tumor in adults. According to the 2021 World Health Organization (WHO) classification of tumors, genotype plays a significant role in the classification of tumor subtypes, especially the isocitrate dehy...

Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
normalizing flow   pharmacokinetic parameters   dynamic contrast-enhanced MRI   maximum likelihood estimation   posterior distribution  

In modern medical diagnostics and clinical research, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) technology provides significant information regarding tissue pathophysiology. By fitting a Tracer-Kinetic (TK) model, pharmacokinetic (PK) parameters can be extracted from time-series MRI signals. However, these estimated PK parameter...

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

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology,
3D MRI   Gliomas   Alzheimer's Disease   Domain Adaptation   Deep Learning  

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...

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain tumor classification   deep learning   ensemble learning   multiclass classification   transfer learning   explainable AI   vision transformers  

In recent years, due to the high incidence and lethality of brain tumors, rapid and accurate detection and classification of brain tumors have become particularly important. Brain tumors include both malignant and non-malignant types, and their abnormal growth can cause long-term damage to the brain. Magnetic Resonance Imaging (MRI) is a commonly u...

Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma after Tumor Resection

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
brain   glioma   growth model   magnetic resonance imaging   validation  

Research Review on the Predictive Value of Low-Grade Glioma Postoperative Growth Models Introduction Glioma is an aggressive brain tumor whose cells rapidly diffuse within the brain. Understanding and predicting the pattern and speed of this diffusion can help optimize treatment plans. Glioma growth models based on diffusion-proliferation have show...

Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics from Surface EMG

Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence, Medicine, Orthopedics, Medical Laboratory Science, Medical Imaging, Life Sciences, Bioengineering,
physics-informed   deep learning   musculoskeletal modeling   EMG   muscle forces   joint kinematics  

Musculoskeletal models have been widely used in biomechanical analysis because they can estimate motion variables that are difficult to measure directly in living organisms, such as muscle forces and joint moments. Traditional physics-driven computational musculoskeletal models can explain the dynamic interactions between neural inputs to muscles, ...