Neuroscience ROI Contrasts from Statistical T-Test Analysis

A CSV file contains statistical contrast estimates between brain regions of interest (ROIs). The data reports significant two-sided t-test results with Bonferroni correction and Kenward-Roger degrees of freedom. Contrasts are expressed as differences of log-scaled values.

Use Cases

• Identify statistically significant differences in neural activity between specific ROIs using the reported contrast estimates.
• Analyze the pattern of significant contrasts to infer functional connectivity or regional effects in neuroscience studies.
• Validate or compare statistical methods for ROI analysis using the provided Bonferroni-corrected t-test framework.

Strengths

• Data is focused on significant results only, reducing noise for targeted analysis.
• Statistical methods are explicitly documented (Bonferroni correction, Kenward-Roger's method).
• File is in a standard, accessible CSV format.

Limitations

• The dataset is extremely small at 3.0 KB, indicating very limited scope or a summary of results.
• Underlying raw data, sample sizes, and specific ROI definitions are not included.
• The absence of column names and sample data prevents immediate understanding of the data structure.

Provenance

Source

figshare

Collection Method

Derived from statistical analysis (two-sided t-tests) of neuroscience ROI data.

Time Range

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Freshness

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Geography

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