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• W2470079314 abstract "An exploratory analysis to establish a possible signal of dementia stage using network statistics. The data come from patients and carers who used an online symptom tracking tool, SymptomGuideTM (SG), at DementiaGuide.com. From these, 139 patients with between 8-25 symptoms each were classified either as mild (n=74) or moderate (n=65) dementia. Staging used an established artificial neural network with supervised learning. Using an established method, we created 100 symptom-based networks for each group. A network is composed of nodes (symptoms) and edges (significant associations between symptoms). For each network, a bootstrapped sample of 1000 samples with replacement was taken Cytoscape was used to derive network statistics. Average number of neighbors represents the average number of symptom associations. Clustering coefficient measures the degree of symptom clustering. Connected components quantifies number of unique clusters. Network heterogeneity reflects the tendency of symptom hubs. Network centralization measures the connectivity of the most connected symptom. Network density measures edge density. Network diameter measures the largest distance between two symptoms. Characteristic path length is the average distance between two connected symptoms. The shortest path length is the minimum characteristic path length found. Standard t-tests were used to test for differences in continuous data and Pearson's chi-squared for categorical data. Most of the sample (74.4%) were women. The mean age was 74.1 (95% CI 72.1-76.2) for mild; 77.9 (74.6-81.2) for moderate patients. Similar numbers of symptoms were seen in mild 9.8 (9.4-10.3) and moderate 10.1 (9.8-10.4). The mild group had significantly higher number of average neighbors 2.3 (2.2-2.3) vs 1.9 (1.8-1.9), network density 0.89 (0.087-0.091) vs 0.08 (0.07-0.08), network centralization 0.22 (0.21-0.24) vs 0.12 (0.12, 0.13) and network heterogeneity 0.73 (0.71-0.75) vs 0.55 (0.53-0.56) (t-test, p<0.01 for each). The moderate group showed significantly larger characteristic path lengths 2.98 (2.90-3.06) vs 2.54 (2.47-2.61) (t-test, p<0.01) and network diameter 6.75 (6.56-6.93) vs 5.01 (4.83-5.16) (t-test, p<0.01). In a group of mild versus moderate dementia patients with similar demographic characteristics, we found consistent differences in network properties. Overall, they suggest a pattern of increasing heterogeneity and loss of connectivity in the moderate versus the mild stage." @default.
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• W2470079314 date "2015-07-01" @default.
• W2470079314 modified "2023-09-27" @default.
• W2470079314 title "P2-004: Network statistics to identify profiles of disease expression" @default.
• W2470079314 doi "https://doi.org/10.1016/j.jalz.2015.06.540" @default.
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