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Current and future trends in neuroimaging

Neuroimaging, Brain Imaging, Biostatistics and seminar by Dr. Andy Jahn, fMRI Lab, University of Michigan

Hosted by UMichigan Neuro

Wednesday 13:00–14:10 Michigan (GMT-5)

Ended

Online

Abstract

With the advent of several different fMRI analysis tools and packages outside of the established ones (i.e., SPM, AFNI, and FSL), today's researcher may wonder what the best practices are for fMRI analysis. This talk will discuss some of the recent trends in neuroimaging, including design optimization and power analysis, standardized analysis pipelines such as fMRIPrep, and an overview of current recommendations for how to present neuroimaging results. Along the way we will discuss the balance between Type I and Type II errors with different correction mechanisms (e.g., Threshold-Free Cluster Enhancement and Equitable Thresholding and Clustering), as well as considerations for working with large open-access databases.

Topics

AFNIFSLSPMType II errorscorrection mechanismsfMRI analysisfMRIPrepNeuroimaging