An information-processing model of the BOLD response in symbol manipulation tasks

Area of Science:

• Cognitive Neuroscience
• Neuroimaging
• Computational Neuroscience

Background:

• Cognitive architectures like ACT-R model human cognition.
• Functional magnetic resonance imaging (fMRI) measures brain activity via the blood oxygen level dependent (BOLD) response.
• Linking cognitive processes to neural activity is a key challenge in neuroscience.

Purpose of the Study:

• To develop a general theory for mapping cognitive buffer activity to the fMRI BOLD response.
• To demonstrate how specific buffer activities predict BOLD signals in distinct brain regions.
• To provide a precise interpretation of the cognitive significance of the BOLD response.

Main Methods:

• Performed two imaging experiments involving algebraic transformation and symbol manipulation tasks.
• Utilized ACT-R models to predict task latency patterns and buffer activity.
• Developed and applied a theory to map buffer activity to the fMRI BOLD response.

Main Results:

• Imaginal buffer activity predicted BOLD response in the left posterior parietal cortex.
• Retrieval buffer activity predicted BOLD response in the left prefrontal cortex.
• Manual buffer activity predicted BOLD response in motor regions.

Conclusions:

• The proposed theory successfully maps cognitive buffer activity to the BOLD response.
• This framework allows for the interpretation of the BOLD signal in terms of cognitive processes.
• The approach is generalizable to a wide range of information-processing theories beyond ACT-R.