Associations of CSF BACE1 with Amyloid Pathology, Neurodegeneration, and Cognition in Alzheimer’s Disease

Original Title: 《Associations of CSF BACE1 with Amyloid Pathology, Neurodegeneration, and Cognition in Alzheimer’s Disease》 Background and Research Purpose Alzheimer’s Disease (AD) is a leading cause of dementia in the elderly, characterized by the accumulation of β-amyloid protein (Aβ) plaques in the brain. Beta-site APP cleaving enzyme 1 (BACE1) ...

The Influence of APOEε4 on the pTau Interactome in Sporadic Alzheimer's Disease

The Influence of APOEε4 on the pTau Interactome in Sporadic Alzheimer’s Disease Background Alzheimer’s disease (AD) is a neurodegenerative disease characterized by extracellular deposition and aggregation of β-amyloid protein (Aβ) forming various types of Aβ deposits and the intracellular accumulation and assembly of abnormally phosphorylated tau p...

Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study

Study on Structural Connectivity Characteristics in Patients with Brain Injury and Chronic Health Symptoms Academic Background Traumatic Brain Injury (TBI) is one of the leading causes of post-traumatic death and disability. Even mild to moderate TBIs can result in a complex cluster of symptoms known as “post-concussion syndrome,” which includes he...

Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice

Innovative Fusion in Neuron Classification: Shared Information from Human and Mouse Electrophysiological Data The scientific community has long faced significant challenges in neuron classification. Accurate classification of neurons is crucial for understanding brain function in both healthy and diseased states. This study, led by Ofek Ophir, Orit...

Introduction to Cadence: A Neuroinformatics Tool for Supervised Calcium Events Detection

A New Breakthrough in Neuroinformatics: Research Report on Cadence Tool for Calcium Event Detection Background Introduction Calcium imaging technology has revolutionized the study of neuron ensembles, providing researchers with a powerful tool to simultaneously visualize and monitor multiple neuronal activities. Calcium imaging utilizes fluorescent...

A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control

Functional Brain Connectivity Research Using Bayesian Multiplex Graph Classifier Research Background and Problem Statement In recent years, research on cognitive control in the elderly has garnered increasing attention, especially against the backdrop of accelerating population aging. Understanding cognitive functions in the elderly becomes particu...

Predicting cognitive functioning for patients with a high-grade glioma: Evaluating different representations of tumor location in a common space

Academic Background It is widely recognized that the cognitive function of patients with high-grade glioma is affected by the location and volume of the tumor. However, research on how to accurately predict individual patients’ cognitive function for personalized treatment decisions before and after surgery remains limited. Currently, most studies ...

Photogrammetry Scans for Neuroanatomy Education - A New Multi-Camera System: Technical Note

Photogrammetry Scans for Neuroanatomy Education - A New Multi-Camera System: Technical Note

Neuroinformatics Research: 3D Modeling of Neuroanatomy with Multi-Camera System Academic Background The surgical anatomy of the central nervous system, including the skull and spine, has an extremely complex three-dimensional (3D) structure, making it difficult for learners to fully understand the intricate relationships between various structures....

Solving the Pervasive Problem of Protocol Non-Compliance in MRI Using an Open-Source Tool MRQA

MRQA: Addressing the Widespread Problem of MRI Protocol Non-Compliance Background In recent years, large-scale neuroimaging datasets have played a crucial role in studying brain-behavior relationships, such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI), Human Connectome Project (HCP), and Adolescent Brain Cognitive Development (ABCD) st...

Bayesian Tensor Modeling for Image-Based Classification of Alzheimer's Disease

Image Classification Based on Bayesian Tensor Modeling for Alzheimer’s Disease Introduction Neuroimaging research is a crucial component of contemporary neuroscience, significantly enhancing our understanding of brain structure and function. Through these non-invasive visualization techniques, researchers can more accurately predict the risk of cer...