Structural signatures of synergy and redundancy in human brain function

Area of Science:

• Neuroscience
• Network Science
• Information Theory

Background:

• Understanding brain structure-function relationships is key in neuroscience.
• Previous studies focused on pairwise connectivity, neglecting higher-order interactions.
• The anatomical basis of complex brain dynamics remains unclear.

Purpose of the Study:

• To investigate how the human connectome constrains higher-order information sharing.
• To differentiate structural profiles of redundant versus synergistic information sharing in brain networks.
• To explore the anatomical underpinnings of multivariate functional organization.

Main Methods:

• Utilized multivariate information theory, specifically O-information, to analyze brain networks.
• Examined the topology and community structure of brain region subsets.
• Assessed node centrality metrics like clustering and betweenness centrality.

Main Results:

• Identified two distinct structural profiles for redundant and synergistic information sharing.
• Redundant subsets exhibit high internal density and clustering, with less central nodes.
• Synergistic subsets are characterized by globally central nodes with high betweenness centrality.

Conclusions:

• The human connectome imposes specific constraints on higher-order information sharing.
• Node centrality is a crucial feature for identifying synergistic brain network interactions.
• Findings extend structure-function relationships beyond pairwise interactions, offering insights into brain organization.