Fig. 1.

Inversion of retinotopic coding between externally- and internally- oriented networks in the human brain. A. Population receptive field (pRF) modeling with fMRI. A visual pRF model was fit for all participants to establish visual responsiveness and visual field preferences for each voxel. Voxels with positive BOLD responses to the visual stimulus are referred to as positive pRFs (+pRFs), and those with negative BOLD responses to visual stimulation are referred to as negative pRFs (-pRFs). B. Individualized resting-state network parcellation. Resting-state fMRI was collected in all participants and used to derive individualized cortical network parcellations. Participants (N=7) had between 34–102 minutes of resting-state data. Networks were parcellated³³ using the multi-session hierarchical Bayesian modelling approach^8,32 with the Yeo 15 HCP atlas³³ as a prior. C. Task-negative and task-positive (internally/externally oriented) brain networks contain differential concentrations of +/−pRFs. Bars show the concentration of −pRFs within each individual’s cortical networks. The Default Networks A and B (DN-A/B), canonically internally-oriented, contained the highest proportion of -pRFs, while the Dorsal Attention Networks (dATN-A/B), canonical externally-oriented, contained the highest proportion of +pRFs.