Basic Science and Pathogenesis.

Background: Despite amyloid-β (Aβ) plaques and tau neurofibrillary tangles being recognized as major Alzheimer's Disease (AD) hallmarks, their synergistic contribution to neuronal activity remains unclear. We developed a neuroimaging-based personalized brain activity model to assess the in-vivo functional impact of AD pathophysiology. In previous reports, model-inferred neuronal excitability predicted disease progression (i.

Basic Science and Pathogenesis.

Background: Intracellular accumulation of tau tangles in the brain is one of the most prominent manifestations of Alzheimer's disease (AD). Progression thereof across the AD stages has specific temporal and spatial patterns, wherein time is informative of space and vice versa. Here we introduce a novel method, Manifold Component Analysis (MCA), to represent tangle accumulation in 2D, reflecting the spatial aspect of tau propagation stages to further relate it to the temporal aspect thereof.

Clinical Manifestations.

Background: Classical literature has pointed at lateralization of the relationship between memory scores and cerebral hemisphere injury. Epilepsy studies have suggested an association between left hippocampal damage and verbal memory deficits, and between right hippocampal damage and visual memory deficits. We aimed to explore this concept in the context of tauopathy due to Alzheimer's disease.

Effects of Metabolic Dysfunction-Associated Steatohepatitis in Alertness, Associative Learning, and Astrocyte Density.

Purpose: Metabolic dysfunction-associated steatohepatitis (MASH) is a prevalent disease caused by high fat and high cholesterol intake, which leads to systemic deterioration. The aim of this research is to conduct a psychobiological exploration of MASH in adult male rats.

Methods: Subjects who were administered a high-fat and high-cholesterol diet for 14 weeks.

Quality of pediatric trauma care: development of an age-adjusted TRISS model and survival benchmarking in a major trauma center.

Background: Pediatric trauma is a major global health concern, accounting for a substantial proportion of deaths and disease burden from age 5 onwards. Effective triage and management are essential in pediatric trauma care, and prediction models such as the Trauma Injury Severity Score (TRISS) play a crucial role in estimating survival probability and guiding quality improvement. However, TRISS does not account for age-specific factors in pediatric populations, limiting its applicability to younger patients.