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Functional magnetic resonance imaging (fMRI) is an indirect measure of neural activity that uses magnetic gradients to measure blood oxygenation in the brain. Many studies use fMRI data to non-invasively measure brain activity across psychology, cognitive neuroscience, and to better understand diseases that impact brain function. These studies can produce terabytes of data that require preprocessing to analyze. This preprocessing can be completed using a mix of storage and compute options as demonstrated in our blog post on Data Preprocessing on AWS using fMRI prep. Scientists who do not want to manage their infrastructure and the scaling of that infrastructure can use AWS HealthOmics.
In this blog post, I demonstrate how to run Analysis of Functional NeuroImages (AFNI) on AWS HealthOmics to process fMRI data. I walk through how to run an AFNI process on fMRI data step-by-step.