Results 191 to 200 of about 71,608 (264)

Energetic microdomains and the vascular control of neuronal and muscle excitability: Toward a unified model

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend The capillary–mitochondria–ion channel (CMIC) axis scales structural resources to match functional workload. (Left) In settings of restricted energetic capacity (e.g. cortical neurons), sparse capillary networks and modest mitochondrial pools set a lower energetic ceiling, sufficient to support phasic, low‐workload excitability. (
L. Fernando Santana, Scott Earley
wiley   +1 more source

Longitudinal sex differences in cerebrovascular ageing in older adults: results from the brain in motion study

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Longitudinal assessment of sex differences in cerebrovascular ageing over a ∼6 year period: the Brain in Motion study. Cerebrovascular function was assessed at baseline (T1) and at a follow‐up (T2) ∼6 years later, at rest, during euoxic hypercapnia and while engaging in submaximal exercise. Over the follow‐up period females had a
Connor Snow   +10 more
wiley   +1 more source

Translating cardiovascular ion channel and Ca2+ signalling mechanisms into therapeutic insights

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend This white paper integrates mechanistic discoveries across ion channel biology, Ca2+ signalling and multiscale cardiovascular physiology to highlight new opportunities for accelerating research and guiding next‐generation therapies.
Silvia Marchianò   +18 more
wiley   +1 more source

CT perfusion for predicting intracranial atherosclerotic middle cerebral artery occlusion. [PDF]

open access: yesFront Neurol
Wang Z   +6 more
europepmc   +1 more source

ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U‐Nets

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 4, Page 2384-2396, April 2026.
ABSTRACT Purpose To propose a spatio‐temporal U‐Net based network (4DST) that exploits both spatial and dynamic information while avoiding memory‐intensive 4D convolutional layers for ASL‐based non‐contrast enhanced 4‐dimensional MR angiography (4D MRA) vessel segmentation.
Sang Hun Chung   +7 more
wiley   +1 more source

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