The development of simple and sensitive methods for the assessment of functional brain changes is important for the early detection of brain diseases. However, at present, tough evaluation methods using sophisticated equipment, such as brain imaging, are the mainstay for assessing brain function. It is also difficult to detect slight functional changes in the brain with cognitive function tests. On the other hand, the results of previous basic research have shown that brain function correlates with functional changes in organs other than the brain. Among those peripheral organs, the functional linkage between the lungs and the brain in particular has recently attracted attention. However, it is not known whether changes in brain function can be detected from changes in lung function. This study aims to find a relationship between lung function and brain function from large-scale data. The technology to be developed from the results obtained is expected to detect changes in brain function at an early and acute stage.
