Music-Based fMRI Neurofeedback Data for Mood and Connectivity Modulation

22 healthy adults participated in a real-time fMRI neurofeedback experiment using a novel musical interface. The dataset includes pre- and post-session questionnaire results assessing mood and subjective experience, alongside neuroimaging data from a 50-minute MRI session. The research was authored by Alexandre Sayal and shared on figshare with a CC-BY-4.0 license.

Use Cases

• Training models to predict neurofeedback success based on participant musical background mentioned in the description
• Analyzing the relationship between interhemispheric premotor cortex connectivity and self-reported mood changes
• Comparing brain activation patterns between active and sham neurofeedback runs as described in the results
• Investigating the role of saliency and learning networks (insula, putamen) in music-based neuromodulation

Strengths

• Includes data from 22 participant sessions, providing a basis for statistical analysis
• Contains both neuroimaging (fMRI) and behavioral (questionnaire) data modalities
• Experimental design includes active and sham feedback conditions for comparison

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is small at 1.3 MB, indicating limited raw data volume

Provenance

Source

figshare

Collection Method

Data collected during a controlled fMRI neurofeedback experiment with healthy adult participants.

Freshness

Last updated 2026-04-30 05:41:36; freshness should be verified