Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory

BMC Neuroscience

Table 2 Comparison of small-world characteristics with AD network literature

Study	group	N	γ	λ	σ
Present study	Control group	21	1.67	1.11	1.50
EEG (Stam 2007)	Healthy controls	21	1.58	1.07	1.48
MEG (Stam 2004)	Healthy controls	126	4.20	1.80	2.30
fMRI (Supekar 2008)	Healthy controls	90	1.74	1.05	1.66
Present study	AD	21	1.61	1.08	1.49
EEG (Stam 2007)	AD	21	1.60	1.12	1.43
fMRI (Supekar 2008)	AD	90	1.56	1.04	1.50
Present study	FTLD	21	1.73	1.12	1.55

Comparison for unweighted network characteristics of the present study with earlier reported work. Although there are considerable methodological differences between these studies, all results indicate that network structure in both healthy persons and AD patients can be described as having small-world network characteristics (σ>1). N = number of nodes in the graph, γ = normalized clustering coefficient, λ = normalized characteristic path length, σ = small-worldness (γ/λ). In the EEG and MEG studies, values have been averaged over all frequency bands.

ISSN: 1471-2202