Neural Correlates of Risky Monetary Decision-Making for Self and Others

A 2026 study by Samantha J. Fede on figshare investigates the neural basis of financial risk-taking. The dataset likely contains fMRI and behavioral data from 38 adults performing a monetary risk task where choices varied by Risk Recipient (self/other) and Risk/Reward Allocation (balanced/mixed). Results indicate higher risk tolerance for others and distinct neural activations in regions like the temporoparietal junction and ventral striatum.

Use Cases

• Modeling neural correlates of risk-taking based on the described fMRI task paradigm.
• Comparing behavioral risk tolerance for self versus others using the described Risk Recipient variable.
• Analyzing brain activation patterns related to Risk/Reward Allocation framing, such as in the anterior insula.
• Investigating the role of social cognition in financial decisions based on the described contrast between valuation and social processes.

Strengths

• Includes fMRI data from 38 adult participants.
• Task design manipulates two key variables: Risk Recipient and Risk/Reward Allocation.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document (848.4 KB), which may not be a standard data format for analysis.

Provenance

Source

Samantha J. Fede via figshare

Collection Method

Adults completed a financial risk fMRI task with safe and risky options.

Freshness

Last updated 2026-05-21 05:47:11; freshness should be verified.