A Novel Method to Study CSF Flow and BOLD Coupling Using Real-Time Phase Contrast Interleaved with Cortical BOLD MRI

New Method for Studying the Coupling Between Cerebrospinal Fluid Flow and Cortical BOLD Signals Academic Background In recent years, the role of cerebrospinal fluid (CSF) in brain waste clearance has garnered significant attention. Traditionally, CSF was thought to primarily serve as a cushion and provide immune surveillance. However, growing evide...

Choroid Plexus Aging: Structural and Vascular Insights from the HCP-Aging Dataset

Research on Choroid Plexus Aging and Cerebrospinal Fluid Dynamics Background Introduction The choroid plexus (CHP) is a highly vascularized structure located within the brain ventricles, primarily responsible for the production of cerebrospinal fluid (CSF) and the clearance of metabolic waste. It plays a crucial role in maintaining neurofluid homeo...

Association between Choroid Plexus Volume and Cognitive Function in Community-Dwelling Older Adults without Dementia: A Population-Based Cross-Sectional Analysis

Association Between Choroid Plexus Volume and Cognitive Function in Community-Dwelling Older Adults: A Research Study Academic Background With the increasing global aging population, the number of dementia patients is rising annually. Early identification of older adults with declining cognitive function and guiding them toward preventive and thera...

Non-invasive MRI of blood-cerebrospinal fluid-barrier function in a mouse model of Alzheimer’s disease: a potential biomarker of early pathology

Non-invasive MRI Study of Blood-Cerebrospinal Fluid Barrier Function in a Mouse Model of Alzheimer’s Disease Academic Background Alzheimer’s Disease (AD) is a common neurodegenerative disorder characterized by the accumulation of β-amyloid (Aβ) plaques and neurofibrillary tangles. Recent studies have increasingly shown that the Blood-Cerebrospinal ...

Phase-Contrast MRI Analysis of Cerebral Blood and CSF Flow Dynamic Interactions

Study on the Interaction Between Cerebral Blood Flow and Cerebrospinal Fluid Dynamics Measured at Intracranial and Extracranial Planes Background The interaction between cerebral blood flow (CBF) and cerebrospinal fluid (CSF) is a critical factor in maintaining intracranial pressure (ICP) stability. According to the Monro-Kellie doctrine, the intra...

Relaxation-Exchange Magnetic Resonance Imaging (REXI): A Non-Invasive Imaging Method for Evaluating Trans-Barrier Water Exchange in the Choroid Plexus

Non-Invasive Imaging Technique for Evaluating Trans-Barrier Water Exchange in the Choroid Plexus Background Introduction The choroid plexus (CP) is a critical site for cerebrospinal fluid (CSF) production and an essential component of the blood-cerebrospinal fluid barrier (BCSFB). The CP regulates CSF secretion and absorption, maintaining brain hom...

Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas

Application of Deep Learning in Postoperative Recurrence Prediction for Pediatric Low-Grade Gliomas Background Pediatric Low-Grade Gliomas (PLGGs) are one of the most common types of brain tumors in children, accounting for 30%-50% of all central nervous system tumors in children. Although the prognosis of PLGGs is relatively favorable, the risk of...

Mapping Tumor Habitats in Isocitrate Dehydrogenase-Wild Type Glioblastoma: Integrating MRI, Pathologic, and RNA Data

Pathological Validation of MRI Tumor Habitats in Glioblastoma Background Introduction Glioblastoma (GBM) is a highly malignant brain tumor characterized by significant heterogeneity and invasiveness. Due to its complex tumor microenvironment (TME), traditional imaging methods struggle to accurately distinguish different tumor regions, such as the t...

PICK: Predict and Mask for Semi-Supervised Medical Image Segmentation

Report on the Paper “PICK: Predict and Mask for Semi-Supervised Medical Image Segmentation” Academic Background Accurate segmentation of medical images is crucial in clinical practice, as it provides vital insights into organ/tumor characteristics such as volume, location, and shape. Recent studies have highlighted the significant potential of data...

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

Report on the Paper “RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization” Academic Background Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and pathological diagnosis. However, the computational...