Neuroscience ROI Statistical Contrasts

Neuroscience data contains Bonferroni-corrected two-sided t contrasts between ROIs, using Kenward–Roger’s method for degrees of freedom. Contrast estimates are expressed as differences of square-root scaled values, with only significant contrasts reported. The dataset is a small 8.2 KB CSV file authored by Valeria Centanino.

Use Cases

• Identify significant ROI differences using reported contrast estimates for hypothesis testing.
• Apply the Kenward–Roger’s degrees of freedom method for variance analysis in neuroimaging studies.
• Analyze the distribution of significant contrasts to understand regional brain activity patterns.

Strengths

• Data is focused on significant statistical contrasts, reducing noise.
• Uses a specific statistical method (Kenward–Roger’s) for degrees of freedom.
• Small 8.2 KB file size enables quick access and analysis.

Limitations

• Very small 8.2 KB scale indicates extremely limited data scope.
• Only significant contrasts are reported, omitting full statistical results.
• Unknown row and column counts prevent assessment of dataset volume.

Provenance

Source

figshare, author Valeria Centanino.

Collection Method

Statistical analysis output from two-sided t contrasts between ROIs.

Time Range

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Freshness

Last updated March 26, 2026.

Geography

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