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Related Experiment Video

Updated: Oct 11, 2025

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Default mode and dorsal attention network involvement in visually guided motor sequence learning.

Kardelen Eryurek¹, Cigdem Ulasoglu-Yildiz², Zeliha Matur³

¹Istanbul University, Aziz Sancar Institute of Experimental Medicine, Department of Neuroscience, Istanbul, Turkey; Istanbul University, Graduate School of Health Sciences, Istanbul, Turkey.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior

|November 29, 2021

Summary

This study reveals how brain networks involved in attention, the dorsal attention network (DAN), are crucial for both early and late stages of motor sequence learning. The default mode network (DMN) is less involved as motor skills become automatic.

Keywords:

Default mode network Dorsal attention network Functional magnetic resonance imaging Motor sequence learning Visuospatial attention

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Related Experiment Videos

Last Updated: Oct 11, 2025

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

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Published on: May 3, 2018

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

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Published on: April 16, 2014

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Area of Science:

Neuroscience
Cognitive Science
Motor Control

Background:

Motor sequence learning (MSL) involves distinct early (spatial) and late (automatized) stages.
Previous neuroimaging studies show varied brain activations but haven't focused on attention networks.
Intrinsic connectivity networks (ICNs), like the default mode network (DMN) and dorsal attention network (DAN), regulate task demands.

Purpose of the Study:

To investigate the role of attention-related ICNs in visually guided motor sequence learning (VMSL).
To examine how the DMN and DAN contribute to early and late stages of MSL using fMRI.

Main Methods:

Seventeen healthy participants performed a VMSL task during fMRI.
Training occurred on day 1, with subsequent daily training outside the scanner.
Re-testing occurred on day 5, allowing comparison of early and late learning stages.

Main Results:

Early learning showed decreased occipito-temporal fusiform cortex activation and reduced DMN suppression, correlating with fewer errors.
Late learning revealed decreased activation in DAN-related areas (superior parietal lobules, precuneus, cerebellum).
Reduced activity in specific parietal and cerebellar regions correlated with improved speed and accuracy.

Conclusions:

The DAN is consistently involved in both early and late MSL, likely supporting attention for spatial and temporal automatization.
The DMN is released during early MSL as spatial learning progresses, indicating reduced cognitive load.
Distinct roles of DMN and DAN highlight their differential contributions to motor skill acquisition.