Multimodal Imaging-Based Cerebral Blood Flow Prediction Model Development in Simulated Microgravity.

ABSTRACT: Background: Abnormal alterations in cerebral blood flow (CBF) have been implicated in cognitive decline and neurodegeneration. Maintaining adequate CBF in astronauts during long-duration microgravity is therefore crucial for the success of manned spaceflight. However, the quantitative assessment of CBF during space missions remains challenging. Methods: Thirty-six participants underwent a 90-d -6° head-down tilt bed rest (HDTBR) protocol, a well-established ground-based analog of microgravity. Multimodal imaging data, including internal carotid artery Doppler ultrasound and brain magnetic resonance imaging, were collected during HDTBR. Multiple machine learning (ML) algorithms were developed to investigate carotid-CBF mapping relationship and establish CBF change prediction m

SUBMITTER: Cai L 

PROVIDER: S-EPMC12641160 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature