Brain Functional Networks Involved in Different Premise Order in Conditional Reasoning: A Dynamic Causal Model Study

Area of Science:

• Cognitive Neuroscience
• Cognitive Psychology
• Neuroimaging

Background:

• Conditional reasoning involves drawing conclusions from "If…, then…" statements.
• Previous research on premise order effects in modus tollens reasoning yielded conflicting results.
• Understanding the cognitive mechanisms of conditional reasoning requires further investigation.

Purpose of the Study:

• To investigate the neural correlates of conditional reasoning with traditional versus inverted premise orders.
• To examine the effect of premise order on brain activation and effective connectivity during conditional tasks.
• To explore the cognitive mechanisms underlying conditional reasoning and their relationship to mental model theory.

Main Methods:

• Functional magnetic resonance imaging (fMRI) was used to scan two groups of healthy volunteers.
• Participants evaluated conditional reasoning tasks (modus ponens/modus tollens) with traditional or inverted premise orders.
• Dynamic causal modeling (DCM) was employed for effective connectivity analysis using fMRI data.

Main Results:

• The inverted premise order condition showed increased activation in working memory-associated brain regions.
• Effective connectivity analysis revealed stronger connection strengths in the inverted group compared to the traditional group.
• A neuronal separation was observed between the inverted and traditional conditions, irrespective of premise order effects.

Conclusions:

• Reversing premise order in conditional reasoning enhances connectivity between brain regions involved in working memory.
• The findings provide partial support for the mental model theory by demonstrating distinct neural patterns based on premise order.
• This study highlights the neural basis of conditional reasoning and the impact of premise presentation on cognitive processing.