TUS Sonication Effects on Go/NoGo Choices

Regression model results testing the effects of transcranial ultrasound sonication on Go/NoGo task choices. The dataset contains standardized regression coefficients and p-values from mixed-effects logistic models. It was authored by Nomiki Koutsoumpari and published on figshare in May 2026.

Use Cases

• Analyze the effect of sonication condition on Go/NoGo choices based on the described regression coefficients.
• Compare the impact of different brain stimulation sites (dACC vs. aIns vs. Sham) on task performance.
• Investigate interactions between sonication, action type (Go/NoGo), valence (Win/Avoid), and task timing (early/late half).

Strengths

• Standardized regression coefficients allow for direct comparison of effect sizes.
• Results include p-values derived from Wald chi-squared tests.
• Data is openly available under a 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 dataset is very small (16.1 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Statistical analysis of experimental participant data using mixed-effects logistic regression.

Freshness

Last updated 2026-05-05 17:22:19; freshness should be verified.