Vignando et al. 2026: Ventral Visual Stream DCMs for Mismatch Negativity

Individual Dynamic Causal Model (DCM) files for the ventral visual stream related to mismatch negativity, as used in a Nature Mental Health publication. The 24.5 MB dataset, authored by Miriam Vignando and last updated in May 2026, allows reproduction of the article's main analyses. Data is provided in CSV and MAT file formats.

Use Cases

• Reproducing neuroimaging analyses from the associated Nature Mental Health publication based on the provided DCMs.
• Investigating effective connectivity in the ventral visual stream based on the mismatch negativity paradigm described.
• Comparing DCM parameters across individuals for studies of visual processing and prediction error.
• Developing or validating computational models of brain connectivity using the provided DCM structures.

Strengths

• Data is directly linked to a peer-reviewed publication in Nature Mental Health, suggesting a research-grade standard.
• Files are provided in both CSV and MAT formats, offering flexibility for analysis in different software environments.
• The dataset is licensed under CC-BY-4.0, permitting broad reuse with attribution.

Limitations

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

Provenance

Source

Miriam Vignando, via figshare.

Collection Method

Data generated for the publication Vignando et al. 2026 in Nature Mental Health, likely from neuroimaging experiments.

Freshness

Last updated 2026-05-21 13:28:51; freshness should be verified.