Research article
Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory
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* Corresponding author: Willem de Haan w.dehaan@vumc.nl
1 Alzheimer center and Department of Neurology, VU University Medical Center, Amsterdam, the Netherlands
2 Department of Clinical Neurophysiology, VU University Medical Center, Amsterdam, the Netherlands
BMC Neuroscience 2009, 10:101 doi:10.1186/1471-2202-10-101
Published: 21 August 2009Additional files
Additional file 1:
Threshold analysis in the lower alpha frequency band (8–10 Hz). Graph analysis results of unweighted networks as presented in this paper are dependent on an arbitrarily chosen threshold (in our study K, mean degree of the network). This supplement, including 3 figures, shows that the reported results (K = 5) are representative for a broad range of K thresholds.
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Additional file 2:
Clustering coefficient. Group comparison of the normalized clustering coefficient (Cp/Cp-s or γ) between conditions for different mean network degrees K (* p < 0.05 ** p < 0.01 compared to SMC).
Format: TIFF Size: 94KB Download file
Additional file 3:
Path Length. Group comparison of the normalized characteristic path length (Lp/Lp-s or λ) between conditions for different mean network degrees K (* p < 0.05 ** p < 0.01 compared to SMC).
Format: TIFF Size: 90KB Download file
Additional file 4:
Degree correlation. Group comparison of the degree correlation (R) for different mean network degrees K (* p < 0.05 ** p < 0.01 compared to SMC).
Format: TIFF Size: 91KB Download file