Structure-function relationships during segregated and integrated network states of human brain functional...

Area of Science:

• Neuroscience
• Systems Neuroscience
• Cognitive Neuroscience

Background:

• Structural white matter connections integrate neural information across brain systems.
• Dynamic changes in brain network segregation and integration correlate with behavior.
• The relationship between dynamic network states and structural connectivity is unclear.

Purpose of the Study:

• Investigate how structural and functional connectivity relationships change with brain network states.
• Understand the structural basis of brain network segregation and integration.
• Examine the role of structural connections in mediating neural communication during different network states.

Main Methods:

• Used resting-state functional magnetic resonance imaging (rs-fMRI) to derive time-resolved functional connectivity.
• Employed diffusion tractography to assess structural connectivity.
• Compared structural and functional connectivity similarity across segregated and integrated network states.

Main Results:

• Similarity between structural and functional connectivity edge weights increased during integrated network states.
• This increased similarity was particularly notable between the default mode and dorsal attention networks.
• Network partition similarity and direct structural connections within functional modules were elevated in the integrated state.

Conclusions:

• Structural and functional connectivity are more tightly coupled during integrated brain network states.
• Direct structural connections play a significant role in facilitating neural communication within functional modules during integration.
• Structural connectivity contributes to the integrative neural processes underlying human behavior.