Neuroscience ROI Duration Preference Contrasts

Valeria Centanino provides a statistical analysis of brain region duration preferences, published in March 2026. The dataset contains Bonferroni-corrected two-sided t contrasts, with estimates expressed as differences of square-root scaled values. Only significant contrasts are reported in this 9.4 KB CSV file.

Use Cases

• Analyze significant t contrasts between categories for each ROI to identify brain regions with distinct duration preferences.
• Examine the distribution of difference estimates from square-root scaled values across reported ROIs.
• Use the Bonferroni-corrected statistical results for meta-analysis or validation in neuroimaging studies.

Strengths

• Dataset is licensed under CC BY 4.0 for open use.
• Statistical results are Bonferroni-corrected for multiple comparisons.
• Focuses exclusively on reporting significant contrasts, reducing noise.

Limitations

• The dataset is very small at 9.4 KB, indicating limited scope.
• Unknown row and column counts prevent assessment of analytical depth.
• Contains only processed statistical outputs, not the raw experimental data.

Provenance

Source

Valeria Centanino via figshare

Collection Method

Statistical analysis of neuroscience/brain imaging data; method details unspecified.

Time Range

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Freshness

Last updated March 2026.

Geography

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