Mapping Interictal Discharges Using Intracranial EEG-fMRI to Predict Postsurgical Outcomes

Mapping Interictal Discharges Using Intracranial EEG-fMRI to Predict Postsurgical Outcomes

Using Intracranial EEG-fMRI Mapping of Intermittent Discharges to Predict Epilepsy Surgery Outcomes Background and Objective Epilepsy is a common neurological disorder, and many patients are unresponsive to pharmacological treatments, making surgery one of the primary therapeutic options. However, accurately localizing the seizure onset zone (SOZ) ...

Distinct Virtual Histology of Grey Matter Atrophy in Four Neuroinflammatory Diseases

Research Background The core focus of this study is the manifestation of gray matter atrophy in neuroinflammatory diseases. Gray matter atrophy typically appears in four types of neuroinflammatory demyelinating diseases: Multiple Sclerosis (MS), Neuromyelitis Optica Spectrum Disorders (NMOSD) positive (AQP4+) and negative (AQP4-) for aquaporin-4 an...

Meso-Cortical Pathway Damage in Cognition, Apathy, and Gait in Cerebral Small Vessel Disease

Impact of Midbrain-Cortical Pathway Damage on Cognition, Apathy, and Gait in Small Vessel Disease Background and Research Motivation Small Vessel Disease (SVD) is a complex brain disorder mainly involving various pathological changes in small brain vessels, such as White Matter Hyperintensities (WMH), lacunar infarctions, and cerebral microbleeds. ...

Transient Brain Structure Changes After High Phenylalanine Exposure in Adults with Phenylketonuria

The Impact of High Phenylalanine Exposure on Brain Structure in Adult Phenylketonuria Patients Background Phenylketonuria (PKU) is a rare hereditary metabolic disorder characterized by a deficiency of phenylalanine hydroxylase, leading to elevated levels of phenylalanine (Phe) in the blood and brain. If Phe levels are not strictly controlled during...

Genetics Impact Risk of Alzheimer's Disease through Mechanisms Modulating Structural Brain Morphology in Late Life

In recent years, Alzheimer’s disease (AD) has become a significant health problem affecting the elderly population worldwide. Its related neuropathological changes can begin decades before the appearance of clinical symptoms. To explore more comprehensively the relationship between AD risk and brain morphology, a research team conducted a bidirecti...

Diffusion Model Optimization with Deep Learning

Diffusion Model Optimization with Deep Learning

Dimond: A Study on Optimizing Diffusion Models through Deep Learning Academic Background In brain science and clinical applications, Diffusion Magnetic Resonance Imaging (dMRI) is an essential tool for non-invasively mapping the microstructure and neural connectivity of brain tissue. However, accurately estimating parameters of the diffusion signal...

Fixel-Based Analysis Reveals Tau-Related White Matter Changes in Early Stages of Alzheimer’s Disease

Report: Revealing White Matter Changes Associated with Tau in Early Alzheimer’s Disease through Fixel-based Analysis Research Background Alzheimer’s Disease (AD) is generally thought to primarily affect the grey matter (GM), but more and more evidence shows that the white matter (WM) also experiences abnormalities. Current research largely relies o...

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning Research Background and Motivation Diffusion Tensor Imaging (DTI) boasts unparalleled advantages in mapping the microstructure and structural connectivity of live human brain tissue. However, traditional DTI techniques require extensive angular sampling, leading to pr...

Neurophysiological Features of STN LFP Underlying Sleep Fragmentation in Parkinson's Disease

Neurophysiological Features of STN LFP Underlying Sleep Fragmentation in Parkinson's Disease

Parkinson’s Disease (PD) is a neurodegenerative disease primarily characterized by dopaminergic neuron damage. Aside from causing motor disorders, over 80% of Parkinson’s disease patients also suffer from sleep disorders. Fragmented sleep is a common type of sleep disturbance among PD patients. It is associated not only with sleep maintenance insom...

Routine CSF parameters as predictors of disease course in multiple sclerosis: an MSBase cohort study

Research Report: Predictive Role of Cerebrospinal Fluid Routine Parameters in the Disease Process of Multiple Sclerosis Background Multiple Sclerosis (MS) is characterized by a highly variable and unpredictable disease course. In the diagnosis of MS, cerebrospinal fluid (CSF) analysis is often a standard procedure. However, there has been ongoing d...