Neural networks of the mouse neocortex

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Understanding the organization of neural networks within the mammalian cerebral cortex is crucial for deciphering brain function.
• Previous research has focused on local neuronal connections, leaving the global cortical communication network largely unmapped.

Purpose of the Study:

• To create a comprehensive map of cortico-cortical connections in the mouse neocortex.
• To identify the organizational principles of large-scale cortical networks.

Main Methods:

• Utilized over 600 labeled neuronal pathways from tracer injections across the entire mouse neocortex.
• Manually reconstructed 240 intracortical connections within a common neuroanatomic framework.
• Generated connectivity matrices and a cortical map to analyze network topology and subnetworks.

Main Results:

• Developed a detailed cortical connectivity atlas and map of intracortical connections.
• Identified eight distinct subnetworks: four somatic sensorimotor, two medial, and two lateral.
• Revealed that these subnetworks possess unique topologies and interact via specific cortical areas.

Conclusions:

• The mammalian cerebral cortex is organized into functionally and topologically distinct subnetworks.
• This study provides a valuable resource for future investigations into cortical network organization and function.
• The identified subnetworks offer a framework for understanding how different brain regions communicate and contribute to behavior.