Relational Integration Training Modulated the Frontoparietal Network for Fluid Intelligence: An EEG Microstates...

Area of Science:

• Cognitive Neuroscience
• Neuroscience of Intelligence
• Working Memory Research

Background:

• Relational integration, a core component of working memory, is a significant predictor of fluid intelligence.
• Both relational integration and fluid intelligence rely on shared neural underpinnings, primarily within the frontoparietal network.

Purpose of the Study:

• To investigate the impact of relational integration training on brain network activity using electroencephalogram (EEG) and microstate analysis.
• To determine if relational integration training enhances fluid intelligence and alters associated neural dynamics.

Main Methods:

• A randomized controlled trial with two groups: relational integration training (n=29) and an active control (n=28) over one month.
• Fluid intelligence was assessed using the Sandia matrices task.
• Resting-state EEG data were collected pre- and post-intervention for microstate analysis.

Main Results:

• The training group showed increased occurrence and contribution of microstate D, negatively correlated with reaction times.
• The training group exhibited decreased occurrence and contribution of microstate C compared to controls post-intervention.
• Relational integration training altered microstate transition probabilities, indicating changes in frontoparietal network dynamics.

Conclusions:

• Relational integration training effectively modulates frontoparietal brain networks.
• The observed changes in neural dynamics are associated with improvements in fluid intelligence.
• This study supports relational integration training as a viable intervention for cognitive enhancement.