Using Monotonicity-Constrained Deep Geometric Learning to Predict Alzheimer’s Disease Progression Background Introduction Alzheimer’s Disease (AD) is a devastating neurodegenerative disorder that gradually leads to irreversible cognitive decline, eventually resulting in dementia. Early identification and progression prediction of this disease are c...
Parkinson’s Disease Research Report: Subthalamic Nucleus–Language Network Functional Connectivity Predicts Dopaminergic Modulation of Speech Function Background Parkinson’s disease (PD) is primarily characterized by motor impairments, but it also involves non-motor symptoms including speech disorders, severely affecting patients’ quality of life. A...
Connectomics Reconstruction Associated with Temporal Lobe Lesions and Their Surgical Resection Academic Background The human brain’s structural organization is increasingly conceptualized and analyzed from a network perspective, greatly enhancing understanding of health and disease. In recent years, thanks to advances in neuroimaging technology and...
Report on the Association Between Single Value Brain Activity Scores and the Progression of Alzheimer’s Disease Introduction Among the elderly population, cognitive decline and brain structural changes are widespread, even among healthy individuals1-3. Episodic memory, crucial for storing, maintaining, and retrieving single-event memories4, is espe...
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) ...
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...
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. ...
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...
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...
Background Introduction Diffusion Tensor Magnetic Resonance Imaging (DTI) is a widely used neuroimaging technique for imaging the microstructure of brain tissues and white matter tracts. However, noise in Diffusion-Weighted Images (DWI) can reduce the accuracy of microstructural parameters derived from DTI data and also necessitate longer acquisiti...