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Explore the landscape of brain dynamics during ongoing cognition using Mapper in this 29-minute talk by Samir Chowdhury. Delve into modern non-invasive neuroimaging methods like fMRI and their high-resolution spatial patterns of brain activity. Learn about the Mapper framework's application in revealing whole-brain activity organization for multitask fMRI data, accounting for nonlinear and autocorrelation structures in neuroimaging data. Discover a quantitative approach using distance distributions to predict task performance at a granular level. Examine the talk's coverage of MRI analysis, precision psychiatry trends, the Mapper pipeline, continuous multitask paradigm, nonlinear distance assessments, parameter selection heuristics, and validation through core-periphery and community structure analysis. Gain insights into postdoc analysis via distributions and optimal transport distances for quantifying task transitions. Conclude with an exploration of future directions in this field of neuroimaging and data analysis.
