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

<div>rs-FC adjacent matrices. (a) FC matrices computed with Pearson correlation, and (b) was obtained with DTW. (c) Dominant component of GIG-ICA decomposition. From top to bottom, the first, second, and third rows denote examples from subjects in HC, MCI, and AD groups, respectively.</div>

Behavioural Neurology

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Figure 2: Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study 

Figure 2 | Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study 