Lenticular nucleus volume predicts performance in real-time strategy game: cross-sectional and training approach...

Area of Science:

• Neuroscience
• Cognitive Science
• Human Learning

Background:

• Individual differences in learning speed are not well understood.
• The neural underpinnings of skill acquisition require further investigation.

Purpose of the Study:

• To investigate the neural basis of real-time strategy (RTS) gaming.
• To identify neural predictors of RTS game skill acquisition.

Main Methods:

• Cross-sectional study comparing RTS experts and non-players.
• Cross-validation using lenticular nucleus volume (LNV) to predict learning of a new complex skill (StarCraft II).

Main Results:

• RTS experts exhibited a larger lenticular nucleus volume (LNV) compared to non-RTS players.
• LNV successfully predicted the quality of learning a new complex skill in naive individuals.

Conclusions:

• The lenticular nucleus volume (LNV) is a neural predictor of skill learning.
• LNV's association with motor and cognitive functions supports its role in predicting learning success.
• Findings have implications for optimizing cognitive training interventions beyond video games.