Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study

<div>Box plots of ANCOVA analyses on clustering coefficient. Significant differences across HC, MCI, and AD stages were found in 6 brain parcels of rs-FC networks constructed with (a) Pearson correlation, in 3 brain parcels of rs-FC networks constructed with (b) DTW, and in 52 brain parcels of (c) GIG-ICA dominant component networks. For simplification, only 6 nodes were displayed in (c).</div>

Behavioural Neurology

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Figure 4: Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study 

Figure 4 | Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study 