Neuroanatomy predicts individual risk attitudes

Area of Science:

• Neuroscience
• Economics
• Decision Science

Background:

• Numerous studies explore neural activations and human decision-making.
• Research increasingly links brain structure to cognitive functions.

Purpose of the Study:

• To investigate if individual brain anatomical features can predict fundamental human preferences, specifically risk attitudes.
• To identify potential neural biomarkers for financial risk tolerance.

Main Methods:

• Quantified risk attitudes using standard economic tools.
• Measured gray matter cortical volume across all brain areas using neurobiological tools.
• Performed whole-brain analysis and confirmed findings in a second participant group using econometric tools.

Main Results:

• Gray matter volume in a specific region of the right posterior parietal cortex significantly predicted individual risk attitudes.
• Individuals with greater gray matter volume in this region displayed reduced risk aversion.
• The finding was robust and replicated in a second independent group of participants.

Conclusions:

• Identified the gray matter volume in the right posterior parietal cortex as a potential stable biomarker for financial risk attitude.
• Suggests that brain anatomy can offer insights into economic decision-making.
• Highlights the potential for using existing medical brain scans to assess risk attitudes, with implications for policy making.