Network theory has been applied at multiple scales to connectomes, enabling researchers to explore organizational principles across various brains by analyzing their interconnectivity and robustness.
Rich-club organization, observed in mesoscale connectomes, contributes to the efficient integration and dissemination of information within brain networks of various species.
Advancements in dense volumetric reconstruction allow for direct examination of node and edge relationships, leading to a refined understanding of neuronal connections at the microscale.
Motifs such as reciprocal connections and feedforward loops are studied to identify organizational principles, emerging as important building blocks for local computation and information flow.
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