Default mode network and visual cortex are connected via two parallel pathways that differentially respond to the processing of visual scenes and semantic information about objects, reflecting domain-specific organisation.

Hidden Markov Modeling to fMRI data reveals how language comprehension arises from the dynamic interplay of large-scale brain networks.

CausalXtract is a computational tool to discover causal effects, beyond classical Granger and Schreiber causality approaches, from live-cell imaging data for a range of fundamental and translational research applications.

Low estrogen levels in postmenopausal hypertension are linked to metabolic reprogramming and aortic tissue changes, with L-alpha-aminobutyric acid emerging as a potential protective biomarker.