Behavioral Data and fMRI Outputs for Visual Perception and Imagery Study

1.1 MB of behavioral data and preprocessed fMRI outputs, including ROI-level beta estimates and MVPA decoding accuracies, supporting a neuroscience paper. The dataset was created by Ritsuko Nabata, Mitsuki Niida, Kosaku Takahashi, and Kenji Ogawa and last updated on May 13, 2026. Files are available in IPYNB, CSV, and TXT formats under a CC-BY-4.0 license.

Use Cases

• Compare neural activity patterns between visual perception and imagery tasks based on fMRI beta estimates.
• Assess the accuracy of multivariate pattern analysis (MVPA) for decoding mental states based on decoding accuracy data.
• Replicate or extend the analysis of common neural representations in eidetikers using the provided analysis code.

Strengths

• Dataset includes preprocessed fMRI outputs (beta estimates, decoding accuracies), reducing initial processing burden.
• Accompanying analysis code in IPYNB format supports reproducibility of the original study.
• Available under a permissive CC-BY-4.0 license for open sharing and reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Data collected and preprocessed as part of a neuroscience research study.

Freshness

Last updated 2026-05-13 07:09:29; freshness should be verified.