Resting-State Functional Connectivity and Scholastic Performance in Preadolescent Children: A Data-Driven Multivoxel...

Area of Science:

• Neuroscience
• Developmental Psychology
• Educational Psychology

Background:

• Scholastic performance is a key indicator of academic success in children.
• Understanding the neural underpinnings of scholastic performance is crucial for educational interventions.
• Resting-state functional connectivity (RsFc) offers insights into brain network dynamics during rest.

Purpose of the Study:

• To investigate the neural correlates of scholastic performance, specifically reading and mathematics, in preadolescent children.
• To examine resting-state functional connectivity (RsFc) patterns associated with reading and mathematics abilities.
• To explore the role of whole-brain connectome-wide patterns in academic achievement.

Main Methods:

• Utilized multi-voxel pattern analysis (MVPA) for an unbiased, whole-brain, connectome-wide examination of RsFc.
• Identified clusters associated with reading composite scores for subsequent seed-based RsFc analysis.
• Analyzed associations between RsFc dynamics and scholastic performance in children aged 7-9 years.

Main Results:

• MVPA identified four clusters associated with reading composite scores, but none for mathematics.
• Robust associations were found between reading ability and RsFc in somatomotor, dorsal attention, ventral attention, limbic, frontoparietal, and default mode networks.
• Significant anticorrelations were observed between the default mode network and attention/frontoparietal networks, consistent with cognitive control mechanisms.

Conclusions:

• Reading ability in preadolescent children is associated with widespread RsFc across multiple brain networks.
• Anticorrelations between the default mode network and other networks are important for cognitive functions related to reading.
• These findings contribute to understanding the neural basis of scholastic performance and inform potential interventions.