Imaging Genetics through Brain Age Estimation and Image Derived Phenotypes

In this thesis, we investigated brain aging using different simple and complex models through brain age estimation using IDPs extracted from brain MRI.We have also applied simple methods and machine learning explainability models to identify the most informative features to model brain age. We further estimated brain age for fiber groups within brain white matter tracts. In addition, we revealed the effects of daily life style, cardiac risk factors and morbidity in brain aging. Finally, we used causal models to explore the role of TL in healthy aging and Alzheimer’s disease in unhealthy aging to cause alterations within brain structures and functions.