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

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">Node index</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Pearson correlation</td><td class="align_center">41, 42, 44, 76, 78, 83</td></tr><tr><td class="align_left">DTW</td><td class="align_center">91, 110, 118</td></tr><tr><td class="align_left">GIG-ICA</td><td class="align_center">6, 7, 8, 9, 10, 11, 12, 20, 21, 23, 24, 25, 26, 27, 35, 36, 37, 39, 42, 45, 47, 50, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 64, 65, 70, 71, 72, 73, 74, 95, 96, 98, 99, 100, 104, 106, 110, 112, 113, 116, 118, 125</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>rs-FC network nodes which exhibit significant groupwise difference across HC, MCI, and AD groups.</div>

Behavioural Neurology

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Table 7

Table 7: Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study 

Table 7 | Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study 