Functional connectivity predicts face selectivity in the fusiform gyrus L Garrido, K Nakayama |
|---|
Harvard University, MA, United States
|
| Saygin and colleagues (2012) recently showed that patterns of anatomical connectivity of voxels in the fusiform gyrus (FG) predicted face selectivity. Here, we show that the pattern of functional connectivity using resting-state also predicts FG face selectivity. We tested 20 participants using fMRI resting-state and functional “localizers”. For each participant, we computed the correlation between the time-course of FG voxels and 84 other brain regions. We also computed the face selectivity for each FG voxel. We aimed to predict the face selectivity of FG voxels for participant X, using functional connectivity patterns of each voxel in that participant. We used linear regression with the remaining participants to estimate the contribution of the functional connectivity to face selective responses. The resulting parameters were applied to predict the face selectivity of each FG voxel in participant X. Finally, we compared the predicted face selectivity to the actual face selectivity. This procedure was repeated for each participant. We were able to significantly predict face selectivity in 17 out of the 20 participants. These results allow us to (1) identify brain regions that contribute to face selectivity, and (2) use these methods to estimate face selectivity in participants who cannot perform functional localizers. |
| Up Home |
|---|