“Rich-club” member candidates areas form a distinct group

Based on preliminary results of regression analysis, it seems possible to conclude that our initial hypothesis (here) was true: rich-club members areas differ from non-members by different topology of clusterization pattern. Cluster population regression data show that “rich-club” member candidates areas might form a distinct group with higher cluster population and lower cluster density at higher distances of anisotropic distance map.

Recently two more areas were processed added to comparison: areas 10L and 9L. (see below). Grouping of areas regression lines became more complex, and more interesting. Without jumping to early scientific conclusion, we only can tell that this technology opens quite a new opportunity for cytoarchitectonics studies and comparison of different areas based on spatial distribution of neurons.

<<Will continue ASAP>>

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