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Related Experiment Video

Updated: Aug 31, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Default mode network-associated intrinsic connectivity relates to individual learnability differences in errorless

Madoka Yamashita^1,2, Tetsuya Shimokawa³, Rumi Tanemura²

¹Department of Rehabilitation, Kansai Medical University, Osaka, Japan.

Applied Neuropsychology. Adult

|August 23, 2022

Summary

The brain's default mode network (DMN) connectivity influences learning. Stronger DMN integration is linked to better performance in trial-and-error learning, but not errorless learning.

Keywords:

Cognitive rehabilitation default mode network errorless learning functional magnetic resonance imaging trial-and-error learning

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Area of Science:

Neuroscience
Cognitive Science
Brain Network Analysis

Background:

Intrinsic brain network architecture influences cognitive performance and learning.
Previous studies suggest links between network architecture and learning ability, but the impact of different learning methods remains unclear.

Purpose of the Study:

To investigate the relationship between intrinsic functional network connectivity and learning benefits across different learning methods.
To explore how the default mode network (DMN) characteristics relate to errorless learning (EL) and trial-and-error (T&E) learning.

Main Methods:

Utilized graph theoretical analysis to examine intrinsic functional network connectivity.
Focused on the default mode network (DMN) and its within-network connectivity and efficiency.
Participants engaged in a color-name association task using both EL and T&E learning methods.

Main Results:

Within-DMN connectivity and DMN efficiency showed a weak positive correlation with T&E learning scores.
No significant correlation was found between DMN metrics and EL learning scores.
Findings suggest the DMN's intrinsic integration strength is associated with learnability via the T&E method.

Conclusions:

Intrinsic functional network architecture, specifically within the DMN, plays a role in learning.
The integration strength of the DMN is more relevant for trial-and-error learning than errorless learning.
This highlights differential network contributions based on learning strategies in cognitive rehabilitation.