Automated simulation of fMRI experiments

Tuesday, Jun 27: 10:55 AM - 11:08 AM
3615 
Oral Sessions 
Vancouver Convention Centre 
Room: Ballroom AB 
In a typical fMRI experiment responses are recorded under a few conditions (e.g. abstract words and concrete words) and then contrasts are performed between conditions. Locations of significant differences are reported, usually in a table listing peak locations in standardized space. However, statistical thresholds are usually not directly comparable across experiments because of differences in design and analysis. Thus, it is difficult to replicate experiments or synthesize results across them.

Naturalistic experiments and voxel-wise modeling provide one alternative to the contrast-based approach. These studies sample the stimulus space broadly and characterize the relationship between linearized stimulus features and brain activity in single voxels. Here, we provide a means to bridge between contrast-based studies and naturalistic studies. Specifically, we present a web-based replication engine that uses data derived from naturalistic voxel-wise modeling experiments to simulate any simple language contrast that can be expressed in terms of a list of words reflecting each of two conditions.

Presenter

Leila Wehbe, UC Berkeley