What is it about?
We propose for the first time a computational fluid dynamics analysis to investigate the effects of atrial fibrillation (AF) - the most common cardiac arrhythmia - on lenticulostriate arteries (LSAs) by using 7T high-resolution magnetic resonance imaging (MRI). LSAs are small perforating arteries perpendicularly departing from the anterior and middle cerebral arteries and supplying blood flow to basal ganglia. These small arteries are involved in silent strokes, cerebral small vessel diseases, and alteration of deep cerebral hemodynamics, which are considered among the main vascular drivers and the least investigated hypotheses underlying the recent association between AF and the onset of dementia and cognitive decline.
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Why is it important?
To date, the main reason why well-established causal links between AF hemodynamics and cognitive impairment are missing is the difficulty in obtaining direct and local clinical measures, since currently adopted techniques usually fail in capturing the cerebral micro-vasculature hemodynamics. The present approach - by combining high-resolution MRI data, low-order dimensional AF modeling, and 3D computational fluid dynamics - proposes an integrated in silico-in vivo framework, to shed light into complex and unexplored mechanisms underlying important cerebral pathologies.
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This page is a summary of: Cerebral hemodynamics during atrial fibrillation: Computational fluid dynamics analysis of lenticulostriate arteries using 7 T high-resolution magnetic resonance imaging, Physics of Fluids, December 2022, American Institute of Physics,
DOI: 10.1063/5.0129899.
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