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. 2020 Nov 4;9:e60673. doi: 10.7554/eLife.60673

Figure 2. | Intrinsic functional signal flow across the cortical confluence.

(A) The surface-based iso-to-allocortical axis was projected into the native volume space of BigBrain, then registered to stereotaxic MNI152 space. We used this as a standard atlas to extract resting state functional MRI timeseries. An 8-node decomposition was used for the dynamic model (subregion overlap shown in Figure 2—figure supplement 1 ). (B) Left Posterior estimates of effective connectivity (EC) between 8-nodes of the iso-to-allocortical axis. Columns are seeds and rows are targets. Right. Strength of effective connectivity with deviation from the iso-to-allocortical axis, stratified by direction. * signifies pFDR <0.05. (C) Association of effective connectivity within anterior-posterior thirds of cortical confluence model (y-axes) with effective connectivity of the whole model and deviation from the iso-to-allocortical axis (x-axes).

Figure 2.

Figure 2—figure supplement 1. Alignment with subfields and functional homogeneity of iso-to-allocortical bins.

Figure 2—figure supplement 1.

(A) Percentage overlap of bins with subregions for the whole model (left) and anterior-posterior stratified models (right). The overlap was calculated in MN152 space using the Desikan Killany atlas (Desikan et al., 2006) and an atlas of the hippocampus based on ultra-high-resolution ex vivo MRI data (Iglesias et al., 2015). (B) Homogeneity of rs-fMRI timeseries within bins of the iso-to-allocortical axis, taken as the average product moment linear correlation between all pairs of voxels in each bin (excluding self-connections) and averaged across subjects.