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• W4220786847 abstract "Abstract Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients. However, seizure-freedom is currently achieved in only 2/3 of the patients after surgery. In this study we have developed an individualized computational model based on MEG brain networks to explore seizure propagation and the efficacy of different virtual resections. Eventually, the goal is to obtain individualized models to optimize resection strategy and outcome. We have modelled seizure propagation as an epidemic process using the susceptible-infected (SI) model on individual brain networks derived from presurgical MEG. We included 10 patients who had received epilepsy surgery and for whom the surgery outcome at least one year after surgery was known. The model parameters were tuned in in order to reproduce the patient-specific seizure propagation patterns as recorded with invasive EEG. We defined a personalized search algorithm that combined structural and dynamical information to find resections that maximally decreased seizure propagation for a given resection size. The optimal resection for each patient was defined as the smallest resection leading to at least a 90% reduction in seizure propagation. The individualized model reproduced the basic aspects of seizure propagation for 9 out of 10 patients when using the resection area as the origin of epidemic spreading, and for 10 out of 10 patients with an alternative definition of the seed region. We found that, for 7 patients, the optimal resection was smaller than the resection area, and for 4 patients we also found that a resection smaller than the resection area could lead to a 100% decrease in propagation. Moreover, for two cases these alternative resections included nodes outside the resection area. Epidemic spreading models fitted with patient specific data can capture the fundamental aspects of clinically observed seizure propagation, and can be used to test virtual resections in silico . Combined with optimization algorithms, smaller or alternative resection strategies, that are individually targeted for each patient, can be determined with the ultimate goal to improve surgery outcome. MEG-based networks can provide a good approximation of structural connectivity for computational models of seizure propagation, and facilitate their clinical use." @default.
• W4220786847 created "2022-04-03" @default.
• W4220786847 creator A5001877366 @default.
• W4220786847 creator A5014429750 @default.
• W4220786847 creator A5015546124 @default.
• W4220786847 creator A5016639346 @default.
• W4220786847 creator A5019800110 @default.
• W4220786847 creator A5045364545 @default.
• W4220786847 creator A5053305431 @default.
• W4220786847 creator A5063225778 @default.
• W4220786847 date "2022-03-08" @default.
• W4220786847 modified "2023-10-13" @default.
• W4220786847 title "Epidemic models characterize seizure propagation and the effects of epilepsy surgery in individualized brain networks based on MEG and invasive EEG recordings" @default.
• W4220786847 cites W1544632947 @default.
• W4220786847 cites W1582894848 @default.
• W4220786847 cites W1866535452 @default.
• W4220786847 cites W1878853999 @default.
• W4220786847 cites W1967125431 @default.
• W4220786847 cites W1974554864 @default.
• W4220786847 cites W1979161349 @default.
• W4220786847 cites W1983740074 @default.
• W4220786847 cites W1991288592 @default.
• W4220786847 cites W1998717040 @default.
• W4220786847 cites W2000690216 @default.
• W4220786847 cites W2002429132 @default.
• W4220786847 cites W2004926629 @default.
• W4220786847 cites W2005476331 @default.
• W4220786847 cites W2008462638 @default.
• W4220786847 cites W2016854448 @default.
• W4220786847 cites W2021845341 @default.
• W4220786847 cites W2024060531 @default.
• W4220786847 cites W2025506857 @default.
• W4220786847 cites W2033216467 @default.
• W4220786847 cites W2038068904 @default.
• W4220786847 cites W2042728064 @default.
• W4220786847 cites W2050151003 @default.
• W4220786847 cites W2050287876 @default.
• W4220786847 cites W2055066400 @default.
• W4220786847 cites W2055620707 @default.
• W4220786847 cites W2056350839 @default.
• W4220786847 cites W2061972221 @default.
• W4220786847 cites W2063347383 @default.
• W4220786847 cites W2063497316 @default.
• W4220786847 cites W2068765556 @default.
• W4220786847 cites W2069251911 @default.
• W4220786847 cites W2077382439 @default.
• W4220786847 cites W2079207152 @default.
• W4220786847 cites W2096221603 @default.
• W4220786847 cites W2099478180 @default.
• W4220786847 cites W2115135551 @default.
• W4220786847 cites W2115298916 @default.
• W4220786847 cites W2124710338 @default.
• W4220786847 cites W2129234356 @default.
• W4220786847 cites W2130246912 @default.
• W4220786847 cites W2130466555 @default.
• W4220786847 cites W2131055855 @default.
• W4220786847 cites W2131494589 @default.
• W4220786847 cites W2131705496 @default.
• W4220786847 cites W2143381800 @default.
• W4220786847 cites W2149769615 @default.
• W4220786847 cites W2153436764 @default.
• W4220786847 cites W2154177180 @default.
• W4220786847 cites W2159338671 @default.
• W4220786847 cites W2161493176 @default.
• W4220786847 cites W2161819003 @default.
• W4220786847 cites W2164439942 @default.
• W4220786847 cites W2167845354 @default.
• W4220786847 cites W2168589089 @default.
• W4220786847 cites W2195355925 @default.
• W4220786847 cites W2239809869 @default.
• W4220786847 cites W2311303842 @default.
• W4220786847 cites W2402346616 @default.
• W4220786847 cites W2418779657 @default.
• W4220786847 cites W2462083844 @default.
• W4220786847 cites W2473219140 @default.
• W4220786847 cites W2483809583 @default.
• W4220786847 cites W2523463197 @default.
• W4220786847 cites W2523692751 @default.
• W4220786847 cites W2551722370 @default.
• W4220786847 cites W2563406483 @default.
• W4220786847 cites W2588498716 @default.
• W4220786847 cites W2589221278 @default.
• W4220786847 cites W2622514185 @default.
• W4220786847 cites W2728438250 @default.
• W4220786847 cites W2738523377 @default.
• W4220786847 cites W2747776345 @default.
• W4220786847 cites W2748571617 @default.
• W4220786847 cites W2792264617 @default.
• W4220786847 cites W2793126134 @default.
• W4220786847 cites W2797692459 @default.
• W4220786847 cites W2806558297 @default.
• W4220786847 cites W2885962237 @default.
• W4220786847 cites W2923114955 @default.
• W4220786847 cites W2945983952 @default.
• W4220786847 cites W2947628324 @default.
• W4220786847 cites W2955067947 @default.
• W4220786847 cites W2963293706 @default.
• W4220786847 cites W2964034942 @default.
• W4220786847 cites W2978664435 @default.
• W4220786847 cites W2979497357 @default.

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