High-Spatiotemporal-Resolution Ultrasound Flow Imaging to Determine Cerebrovascular Hemodynamics in Alzheimer's Disease Mice Model.
Hsin HuangPei-Ling HsuSheng-Feng TsaiYi-Hsiang ChuangDe-Quan ChenGuo-Xuan XuChien ChenYu-Min KuoChih-Chung HuangPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2023)
Although the relationships of cerebrovascular hemodynamic dysfunction with neurodegenerative diseases remain unclear, many studies have indicated that poor cerebral perfusion accelerates the progression of neurodegenerative diseases, such as Alzheimer's disease (AD). Small animal models are widely used in AD research. However, providing an imaging modality with a high spatiotemporal resolution and sufficiently large field of view to assess cerebrovascular hemodynamics in vivo remains a challenge. The present study proposes a novel technique for high-spatiotemporal-resolution vector micro-Doppler imaging (HVμDI) based on contrast-free ultrafast high frequency ultrasound imaging to visualize the cerebrovascular hemodynamics of the mouse, with a data acquisition time of 0.4 s, a minimal detectable vessel size of 38 µm, and a temporal resolution of 500 Hz. In vivo experiments are conducted on wild-type and AD mice. Cerebrovascular hemodynamics are quantified using the cerebral vascular density, diameter, velocity, tortuosity, cortical flow pulsatility, and instant flow direction variations. Results reveal that AD significantly change the cerebrovascular hemodynamics. HVμDI offers new opportunities for in vivo analysis of cerebrovascular hemodynamics in neurodegenerative pathologies in preclinical animal research.
Keyphrases
- high frequency
- wild type
- high resolution
- single molecule
- magnetic resonance imaging
- magnetic resonance
- cognitive decline
- subarachnoid hemorrhage
- oxidative stress
- stem cells
- machine learning
- high fat diet induced
- contrast enhanced
- gene expression
- type diabetes
- electronic health record
- pseudomonas aeruginosa
- mass spectrometry
- single cell
- insulin resistance
- biofilm formation
- computed tomography
- fluorescence imaging
- genome wide
- deep learning
- dna methylation
- big data
- artificial intelligence
- bone marrow
- staphylococcus aureus
- mesenchymal stem cells
- case control