Functional MRI — Signal processing algorithms and applications

Functional magnetic resonance imaging (fMRI) investigations are increasingly important for the in vivo study and modeling of integrative brain functions in health and disease, where sophisticated mathematical and statistical algorithms for fMRI signal processing and interpretation have come into play. Apart from neuroanatomical, neurophysiological, and neuropsychological competence, the progress in cognitive neuroscience and brain mapping is critically dependent on expertise from other disciplines - such as statistics, computer science, and electrical and electronic engineering dealing with signal processing, circuits and systems. During the last years, there has also been a trend towards funding of "open science" consortia, providing huge and well-curated image data repositories together with advanced software tools and processing pipelines to be used and further developed by the research community.