Approved Research
Leveraging objective physical activity measures and MRI images to dissect the relationships of physical activity with cardiovascular and cerebrovascular health
Lay summary
Insufficient physical activity is a known risk factor for cardiovascular and cerebrovascular health, but the underlying mechanisms are still unclear. Wearable devices and MRI have been increasingly used recently to provide comprehensive information on daily physical activity and heart and brain health, which offers us unprecedented opportunities to study their associations. It is noted that recent studies primarily focus on summary metrics of wearable device data and MRI, while rich information contained in the time-series physical activity data and two-dimensional images remains to be fully exploited. Therefore, we propose to apply advanced statistical models to derive novel features from time-series wearable device data and characterize daily physical activity patterns. By leveraging both extracted physical activity features and collected MRI measures, we will study the phenotypic associations as well as examine the genetic associations through genome-wide association studies and genetic correlation estimation. Our proposed method will pinpoint activity features that may serve as cardiovascular and cerebrovascular health risk indicators, uncover new heart and brain MRI features associated with physical activity, and further yield novel insights into the underlying biological mechanisms. The methods proposed will also be developed into code packages for public use.
We anticipate that this project will take three years. The novelty of our research includes integrative analysis of wearable device data and imaging data, a detailed examination of the phenotypic and genetic correlation of physical activity with cardiovascular and cerebrovascular health, and the evaluation of the causal and likely beneficial effects of physical activity. Our findings can inform public policies and strategies integrating physical activity as an essential component to improve population health as well as open up the possibility of using wearable devices to evaluate and monitor cardiovascular and cerebrovascular risks and call for timely intervention.
Scope extension:
Insufficient physical activity is one of the leading risk factors for cardiovascular and cerebrovascular health, but the underlying mechanisms remain to be studied. With the recent technology development, researchers can use wearable devices to obtain more accurate objective measures of physical activity information and employ non-invasive Magnetic Resonance Imaging (MRI) to acquire comprehensive information on cardiovascular and cerebrovascular health. A combination of objective physical activity data and MRI images in a large population-based cohort provides us with unprecedented opportunities to study the association of physical activity with cardiovascular and cerebrovascular health and further yield new insights into the underlying biological mechanisms and disease etiology. The aims of the project are twofold: first, developing new statistical methods to effectively extract and characterize individual physical activity features from wearable device data; second, dissecting the relationships of physical activity with cardiovascular and cerebrovascular health.
As we further explored the data and dived deeper into the scientific problems, we plan not to study cerebrovascular health but focus on neurodegenerative diseases instead, to focus more on the study of wearable device data and MRI data to dissect the detailed association with neurodegenerative diseases, cognition functions, and mental health.