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Presented By: Department of Psychology

Michigan Neuroimaging Initiative: Characterizing the spectrum of task fMRI connectivity approaches

Characterizing the spectrum of task fMRI connectivity approaches

Abstract:
Task-based functional connectivity (FC) approaches have typically sought to characterize the modulation of connectivity by task condition (e.g. PPI, beta-series correlation). However, other more “resting-state”-like approaches to task-based connectivity are gaining traction. These techniques examine FC over the entire task session and either leave in (AS Greene et al, Nat Comm 2018) or attempt to regress out (“background connectivity”, DA Fair et al, Neuroimage 2007) the effects of task stimuli. Existing somewhere between task-modulated FC and resting-state FC, what do these approaches have to offer our understanding of functional connectivity and -- more broadly -- cognition and disease? In my talk, I will:

outline the spectrum of task-based connectivity approaches, to get everyone on the same page identify the putative effects of leaving in or regressing out effects of task stimuli (and why this is a source of controversy) describe how these approaches are currently being used (in general, in aging/dementia research, and in our lab) ultimately stimulate a discussion of the research questions for which these techniques might be well-suited (or poorly-suited)

In sum, the talk as designed is methods-focused and built on a foundation of the concepts underlying the different approaches, but also tying in recent work actually using the approaches (including some of my work in Dr. Damoiseaux’s lab). As an aside, the Greene Nat Comm paper contains the data presented by Dustin Scheinost at UofM last April, so attendees of that talk will already have some background knowledge for this talk.

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