"Virus and epidemic": causal knowledge activates prediction error circuitry.

Area of Science:

• Neuroscience
• Cognitive Science
• Psychology

Background:

• Causal knowledge is vital for prediction and understanding consequences.
• While prediction errors aid causal learning, their role in evaluating existing causal knowledge is unclear.

Purpose of the Study:

• To investigate if brain circuitry for prediction errors is involved in representing and evaluating stored causal knowledge.
• To explore the neural basis of assessing cause-and-effect relationships in semantic memory.

Main Methods:

• Two functional magnetic resonance imaging (fMRI) studies were conducted.
• Participants evaluated word pairs for causal or associative relationships.
• Task cues directed participants to focus on either causal or associative links.

Main Results:

• Causally related word pairs activated the orbitofrontal cortex (OFC), amygdala, striatum, and substantia nigra/ventral tegmental area more than noncausal pairs.
• These regions showed higher activity when participants focused on causal relationships compared to associative ones.
• The activated network overlaps with the dopaminergic prediction error system.

Conclusions:

• The findings suggest that prediction error processing may contribute to evaluating causality, even when explicit prediction is not required.
• Neural mechanisms for prediction error may be involved in accessing and assessing stored causal knowledge.