Dataset: Tracing and Evaluation of Optic Radiation Fiber Bundles Under Different Diffusion Gradient Directions in Healthy Adults

# Dataset: Tracing and Evaluation of Optic Radiation Fiber Bundles Under Different Diffusion Gradient Directions in Healthy Adults ## Description This dataset contains the processed diffusion tensor imaging (DTI) measurements supporting the findings reported in the manuscript. Data were acquired from 12 healthy adult volunteers who underwent 3.0T MRI with three diffusion gradient direction protocols (8, 16, and 33 directions). Metrics were recorded bilaterally (Left and Right hemispheres) for each participant. ## Files - **my_data.csv** — Core dataset with all variables used in the statistical analyses- **verify_stats.R** — R script reproducing the Aligned Rank Transform (ART) ANOVA and post-hoc comparisons ## Variables in my_data.csv | Variable | Description ||----------|-------------|| ID | Participant identifier (1–12, anonymized) || Direction | Number of diffusion gradient directions (High = 33, Med = 16, Low = 8) || Hemisphere | Cerebral hemisphere (Left, Right) || SNR | Signal-to-noise ratio of optic radiation tractography || FA | Fractional anisotropy || ADC | Apparent diffusion coefficient (×10⁻³ mm²/s) || LI | Meyer's loop index — distance from Meyer's loop apex to lateral geniculate nucleus (mm) || ML | Mean fiber length (mm) || MF | Mean fiber density (arbitrary units) | ## Statistical Methods Non-parametric Aligned Rank Transform (ART) ANOVA with Direction (3 levels) and Hemisphere (2 levels) as within-subject factors, implemented in R using the ARTool package. Post-hoc pairwise comparisons with Tukey-adjusted P values. ## License CC BY 4.0