The analysis of influence flow is crucial for the topological characterization of functional
brain efficiency networks. Directional interaction among areal BOLD signals can be modeled …

This study extends the application of the frequency-domain new causality method to
functional magnetic resonance imaging analysis. Strong causality, weak causality, balanced …

Early detection of cognitive impairment is a pivotal interdisciplinary research area in
contemporary cognitive neuroscience. Researchers employ multimodal data, including brain …

Designing a comprehensive four-dimensional resting-state functional magnetic resonance
imaging (4D Rs-fMRI) based default mode network (DMN) modeling methodology to reveal …

Abstract Objective To accurately predict Alzheimer's disease (AD) in its early stage of
cognitive impairment is crucial to clinical diagnosis and intervention. However, there is no …

The prevalence of dementia is expected to increment in the next decades as the elderly
population grows and ages. Hence, Alzheimer's Disease (AD), as the most frequent …

The spread of infectious diseases such as COVID-19 depends on complex fluid dynamics
interactions between pathogens and fluid phases, including individual droplets and …