Chunk #28 — Connectivity methods — Proposed analysis algorithms to investigate directional connectivity in layer-dependent connectivity data — Feed-forward vs. feedback classification (in relation to Figs. 5 and 6).
According to the expectations of a canonical microcircuit (Felleman and Van Essen 1991), feed-forward driven input terminates mostly in middle cortical layers, while feedback input terminates in superficial and deeper layers. With the new whole-brain layer-fMRI VASO connectivity data available nowadays, this simplified layer-model allows researchers to develop binary classification algorithms that determine whether any given columnar set of voxels is better described as predominantly feed-forward driver vs. predominantly feedback driven.
