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Neural correlates of artificial grammar learning
P D Skosnik1, F Mirza, D R Gitelman
1Department of Psychology, Northwestern University, Evanston, Illinois 60208, USA.
Neuroimage
|November 5, 2002
Summary
Artificial grammar learning (AGL) involves nonconscious rule acquisition. This study used fMRI to find AGL
Area of Science:
- Neuroscience
- Cognitive Psychology
- Memory Research
Background:
- Artificial grammar learning (AGL) is a nondeclarative memory process.
- AGL does not rely on the medial temporal lobe, but its neural basis is unknown.
Purpose of the Study:
- To investigate the neural mechanisms underlying artificial grammar learning (AGL).
- To identify brain regions involved in the nonconscious acquisition of abstract rules.
Main Methods:
- Event-related functional magnetic resonance imaging (fMRI) was employed.
- Participants studied letter strings from an artificial grammar and then judged novel strings for grammaticality.
Main Results:
- Participants successfully learned the artificial grammar.
- Grammaticality judgments activated widespread cortical areas, including occipital, temporal, parietal, and prefrontal regions.
- Specific activations for grammatical stimuli were observed in the left superior occipital cortex and right fusiform gyrus.
Conclusions:
- A novel nondeclarative memory mechanism for AGL is suggested.
- This mechanism appears to involve the left superior occipital and inferior parietal cortex.
- The neural network for AGL differs from those in other nondeclarative memory tasks.