Journal: Epilepsia open

Article Title: Intrinsic brain network stability during kainic acid-induced epileptogenesis.

doi: 10.1002/epi4.70002

Figure Lengend Snippet: FIGURE 4 (A) The within-network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD-fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub-networks in the sham control group. No significant difference was observed in any sub-networks. (B). The within-network reliability across three trials was assessed by the MN sub-networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub-networks in the sham rats and KA rats. It indicated a low-to-excellent reliability in sham, while the average reliability dropped in the KA group.

Article Snippet: 2.3.1 | Identification of main network (MN) using group ICA Group- level BOLD- fMRI data were analyzed using GICA in the Group ICA of FMRI Toolbox (GIFT) Matlab software to identify MNs during brain resting state.29 This involved setting 20 independent components (ICs), conducting a two- step principal component analysis (PCA) reduction, and using the Infomax algorithm with ICASSO for component analysis.30 After ICA decomposition, F I G U R E 1 Research flowchart of our proposed study. nloaded from https://onlinelibrary.w iley.com /doi/10.1002/epi4.70002 by IN A SP - N E PA L , W iley O nline L ibrary on [25/02/2025].

Techniques: Control