Purpose: To develop algorithms for mapping the spatial entropy (SE); extending white matter fibrography (WMF) for quantifying whole-brain information content. Methods: SE algorithms were applied to WM texture images of four individuals of increasing age, optimized for maximum information content, and implemented to calculate the whole-brain WM complexity. Results: SE was positively correlated with subject age. Conclusion: SE is a promising quantitative metric for objectively distinguishing the state of WM architecture from fibrograms, particularly as it relates to age effects.
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