Structural analysis of Alzheimer's disease brain networks based on fractal features
It had been demonstrated that the functional brain networks of Alzheimer's patients exhibit topological proper-ties distinct from those of cognitively normal individuals,including small-world and clustering coefficients.To further elu-cidate the structural characteristics of the brain networks of Alzheimer's patients and their differences in brain network structure with cognitively normal individuals,fractal features were introduced for comparative analysis.Experimental re-sults demonstrated a significant difference in the minimum number of boxes and connection ratio between brain networks of Alzheimer's patients and cognitively normal individuals at the same box-covering radius.At the brain network thresh-old of 0.4,the connection ratio values of cognitively normal individuals'brain networks were distributed in the[01]inter-val,while the connection ratio values of Alzheimer's patients'brain networks were distributed in the(0.51)interval.Fur-thermore,the average connection ratio of Alzheimer's patients'brain networks was found to be higher than that of cogni-tively normal individuals at different thresholds.These differences in network structure provide a new reference for the di-agnosis of Alzheimer's disease.
Alzheimer's diseasefractal featurebox-covering methodconnection ratio
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