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Abstract:
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Functional magnetic resonance imaging (fMRI) is a commonly-used technique for studying the human brain in action. The data collected from the scanner are inherently interesting from a statistical perspective: they are large, correlated both spatially and temporally, and noisy. As such, they are in many ways emblematic of the challenges we face in the era of Big Data. In this e-poster, I will give an overview of fMRI data collection; highlight the challenges to analysis and some of the typical ways of handling them; and discuss current and future directions in the field. This will be a largely non-technical introduction for those who are interested in learning more about this application area.
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