Brain networks and epilepsy development in patients with Alzheimer disease

• DOI: 10.1002/brb3.3152
• Publication Date: 2023-07-07T08:15:13Z
• Authors: Dong Ah Lee; Ho‐Joon Lee; Si Eun Kim; Kang Min Park
• Keywords: Clustering coefficient

Abstract Introduction This study aimed to investigate the association between brain networks and epilepsy development in patients with Alzheimer disease (AD). Methods We enrolled newly diagnosed AD at our hospital who underwent three‐dimensional T1‐weighted magnetic resonance imaging time of diagnosis included healthy controls. obtained cortical, subcortical, thalamic nuclei structural volumes using FreeSurfer applied graph theory obtain global network intrinsic based on BRAPH. Results 25 56 without development, respectively. also 45 The differed local efficiency (2.026 vs. 3.185, p = .048) mean clustering coefficient (0.449 1.321, .024) were lower, whereas characteristic path length was higher than Both significantly different development. In network, (1.340 2.401, .045), (0.314 0.491, average degree (27.442 41.173, assortative (−0.041 −0.011, .045) (2.930 2.118, those without. (0.646 0.460, higher, (1.645 2.232, lower Conclusion found that differs addition, we demonstrated significant associations (both networks) AD.