Analysing Naturalistic Data

One of the major advantages of naturalistic neuroscience is that these datasets enable a panoply of analytic approaches, spanning from task-based GLMs to conventional resting state analyses to unique inter subject approaches. Within this broad array of options, even the most straightforward approaches require unique considerations when the data are naturalistic. This brief lecture will provide audience members with a schematic to understand the analytic options (including statistical issues), and will highlight some key best practice recommendations. The talk will end by outlining ongoing active questions and challenges to spur interactive discussion.