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Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses

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Functionally specific and sparse domain-based micro-networks in monkey V1 and V2.

Jia Ming Hu¹, Anna Wang Roe²

¹Department of Neurosurgery of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou 310027, China; MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou 310012, China.

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|May 27, 2022

Summary

This summary is machine-generated.

Researchers mapped brain networks in macaque monkeys, revealing that functional domains form specific micro-networks. This domain-based architecture is fundamental to cortical information processing and visual mapping.

Keywords:

V2 columnar connectivity electrical microstimulation functional connectivity optical imaging primate topology visual cortex

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Area of Science:

Neuroscience
Systems Neuroscience
Primate Brain Research

Background:

Primate cerebral cortices feature submillimeter functional domains.
Understanding the connectivity of individual functional domains remains limited.

Purpose of the Study:

To map cortical networks with submillimeter precision in vivo.
To investigate the micro-network connections of single functional domains in the macaque visual cortex.

Main Methods:

Developed a targeted focal electrical stimulation technique.
Utilized functional optical imaging for precise mapping.
Conducted experiments in macaque monkey visual cortex.

Main Results:

Single functional domains connect to specific, sparse intra-areal and inter-areal micro-networks.
Color and orientation functionalities show parallel connection patterns, indicating a domain-based architecture.
These micro-networks exhibit topographic shifts at a submillimeter scale.

Conclusions:

Established a domain-based connectional architecture in the primate brain.
Demonstrated that micro-networks serve as fundamental units for cortical information processing.
Provided new constraints for understanding cortical map representation.