The focus of my research is the development of new methods for the analysis of structural and functional magnetic resonance imaging data (MRI) of the human brain.
Two aspects play a key role in strategies for MRI data analysis: first, it is now recognized that the human brain is a complex adaptive system and exhibits the hallmarks of complexity such as emergence of patterns arising out of a multitude of interactions between its many constituents. Second, the field of fMRI has evolved into a data-intensive, ``big data'' endeavour with large databases and masses of data being shared around the world. At the same time, ultra-high field MRI scanners are now available producing data at previously unobtainable quality and quantity. Both aspects have led to shifts in the way in which we view fMRI data.