Structural Attributes and Principles of the Neocortical Connectome in the Marmoset Monkey

Panagiota Theodoni, Piotr Majka, David H. Reser, Daniel Krzysztof Wojcik, Marcello G.P. Rosa, Xiao-Jing Wang

Research output: Contribution to journalArticleResearchpeer-review


The marmoset monkey has become an important primate model in Neuroscience. Here, we characterize salient statistical
properties of interareal connections of the marmoset cerebral cortex, using data from retrograde tracer injections.We found
that the connectivity weights are highly heterogeneous, spanning 5 orders of magnitude, and are log-normally distributed.
The cortico-cortical network is dense, heterogeneous and has high specificity. The reciprocal connections are the most
prominent and the probability of connection between 2 areas decays with their functional dissimilarity. The laminar
dependence of connections defines a hierarchical network correlated with microstructural properties of each area. The
marmoset connectome reveals parallel streams associated with different sensory systems. Finally, the connectome is
spatially embedded with a characteristic length that obeys a power law as a function of brain volume across rodent and
primate species. These findings provide a connectomic basis for investigations of multiple interacting areas in a complex
large-scale cortical system underlying cognitive processes.
Original languageEnglish
Article numberbhab191
Number of pages14
JournalCerebral Cortex
Publication statusAccepted/In press - 19 Jul 2021

Cite this