Neurofunctional Signatures of Emotion Regulation Strategies from fMRI Data

fMRI data used to train neurofunctional signatures for emotion regulation strategies in a clinical context. The dataset is 235.1 MB in size, stored in MAT format, and was authored by Heng Jiang. It was last updated on May 13, 2026.

Use Cases

• Train machine learning models to identify neurofunctional signatures based on fMRI data.
• Compare the efficacy of different emotion regulation strategies using neural activity patterns.
• Develop clinical tools for mental health assessment based on brain imaging biomarkers.

Strengths

• Dataset size is 235.1 MB, indicating a substantial volume of fMRI data.
• Data is associated with a specific, peer-reviewed research paper, providing academic context.
• License is CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data is stored in the proprietary MAT format, requiring specific software (e.g., MATLAB) for access.

Provenance

Source

figshare

Collection Method

Data used to train signatures in the associated research paper.

Freshness

Last updated 2026-05-13 07:02:41.