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Resolving inter-regional communication capacity in the human connectome
Filip Milisav1, Vincent Bazinet1, Yasser Iturria-Medina1
1McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.
Network Neuroscience (Cambridge, Mass.)
|October 2, 2023
Summary
This study reveals how brain network pathways connect regions, showing that integrated brain areas support complex cognitive functions. Network structure naturally supports this integration.
Area of Science:
- Neuroscience
- Graph Theory
- Network Science
Background:
- Graph theory models neural signaling on brain structure (connectome).
- Existing methods focus on global network traits, missing inter-regional details.
- Investigating communication pathways between brain regions is crucial.
Purpose of the Study:
- To develop a standardization method for analyzing polysynaptic communication pathways between cortical regions.
- To identify pairs of nodes that are topologically closer or further than expected.
- To link communication pathways and network integration to cognitive functions.
Main Methods:
- Developed a standardization method for analyzing polysynaptic communication pathways.
- Compared communication pathways to degree-based expectations.
- Related nodal communication capacity to functional specialization patterns.
- Utilized null models to control for topology and spatial embedding.
Main Results:
- Communication pathways delineate canonical functional systems in the brain.
- Closely integrated brain regions are associated with higher-order cognitive functions.
- Functional integration arises from anatomical configuration and distributed connections.
- Network integration facilitates cognitive integration.
Conclusions:
- Polysynaptic communication pathways relate to the brain's functional organization at multiple levels.
- The brain's anatomical structure supports functional integration.
- Network and cognitive integration are closely linked.
Keywords:
CommunicationConnectomeNull modelPolysynapticSegregation-IntegrationStructure-function relationshipMore Related Videos
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