Layer ReHo: Tool for characterizing mesoscale functional structure across layers and columns

Motivation: High resolution fMRI is an emerging field, analysis pipelines are still under development. Local and short distanced time course similarities also named as Layer dependent regional homogeneity, can give us insights to map laminar dependent signal differences. Goal(s): Using a simple metric to color code the depth dependent cortical activity. Approach: Using mesoscale functional structure to predict and understand, time locked activity patterns in cortical ribbon without having necessity of specific model or predefined ROIResults: Layer dependent regional homogeneity predicts local activity patterns, also can be used as a similarity matrix to rank different runs which potentially contributes to similar layer patterns. Impact: This work can potentially be a publicly available analysis tool to observe and quality check, can also quantify laminar separability of the acquired depth dependent high resolution fMRI data.