Static and dynamic posterior cingulate cortex nodal topology of default mode network predicts attention task...

Area of Science:

• Neuroscience
• Cognitive Science
• Network Science

Background:

• The default mode network (DMN) is crucial for understanding neural mechanisms and cognitive behaviors.
• The relationship between resting-state DMN functional connectivity and cognitive performance remains unclear.
• Investigating DMN's role in healthy cognition and mental disorders is important.

Purpose of the Study:

• To investigate the association between static and dynamic DMN nodal topology and cognitive task performance.
• To explore how DMN functional connectivity during resting-state relates to cognitive behaviors.
• To determine the role of the posterior cingulate cortex (PCC) in cognitive function.

Main Methods:

• Graph theory analysis was employed to study DMN functional connectivity.
• Nodal degree was calculated as a metric for DMN network topology.
• Resting-state fMRI data was analyzed in relation to cognitive task performance.

Main Results:

• Static and dynamic posterior cingulate cortex (PCC) nodal degree within the DMN was significantly associated with task performance (Reaction Time).
• A significant correlation was found between PCC nodal degree and reaction time.
• The PCC node's connectivity strength influences cognitive task execution speed.

Conclusions:

• The PCC's nodal degree within the DMN is a key indicator of cognitive performance.
• Resting-state DMN topology, particularly PCC connectivity, plays a significant role in supporting cognitive functions.
• These findings offer insights into the neural basis of cognitive behavior and potential implications for mental health.