Individual-specific precision neuroimaging of learning-related plasticity

Area of Science:

• Neuroscience
• Cognitive Science
• Skill Acquisition

Background:

• Skill acquisition research traditionally uses group-based functional magnetic resonance imaging (fMRI).
• Group-based fMRI averages individual differences and uses coarse pre- vs. post-training comparisons.
• This limits precise estimation of neural changes during learning.

Purpose of the Study:

• To outline an individual-specific precision approach for tracking neural changes during skill acquisition.
• To link neural trajectories directly to individual learning progress.
• To enhance the spatial and temporal precision of understanding learning-related plasticity.

Main Methods:

• Collecting high-quality neuroimaging data frequently within individuals over training.
• Mapping brain function in each individual's anatomical space.
• Gathering detailed behavioral measures of learning.
• Complementing fMRI with mobile neuroimaging (e.g., functional near-infrared spectroscopy - fNIRS).

Main Results:

• The proposed individual-specific approach allows for direct linkage of neural trajectories to learning progress.
• It enhances sensitivity to individual learning patterns.
• It provides more nuanced insights into neural representation changes during training.

Conclusions:

• An individual-specific, multi-modal neuroimaging approach offers a personalized account of skill learning.
• This method advances the study of learning-related plasticity in the human brain.
• It enables highly informative longitudinal training studies.