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Event-based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross-sectional data.

Seymour M LopezLeon M AksmanNeil P OxtobySjoerd B VosJun RaoErik KaestnerSaud AlhusainiMarina K M AlvimBenjamin BenderAndrea BernasconiNeda BernasconiBoris C BernhardtLeonardo BonilhaLorenzo CaciagliBenoit CaldairouMaria Eugenia CaligiuriAngels CalvetFernando CendesLuis ConchaEstefania Conde-BlancoEsmaeil Davoodi-BojdChristophe E de BézenacNorman DelantyPatricia M DesmondOrrin DevinskyMartin DominJohn S DuncanNiels K FockeSonya FoleyFrancesco FortunatoMarian GalovicAntonio GambardellaEzequiel L GleichgerrchtRenzo GuerriniKhalid HamandiVictoria Ives-DeliperiGraeme D JacksonNeda JahanshadSimon S KellerPeter KochunovRaviteja KotikalapudiBarbara A K KreilkampAngelo LabateSara LariviereMatteo LengeElaine LuiCharles B MalpasPascal MartinMario MascalchiSarah E MedlandStefano MelettiMárcia E MoritaThomas W OwenMark RichardsonAntonella RivaTheodor RuberBenjamin SinclairHamid Soltanian-ZadehDan J SteinPasquale StrianoPeter Neal TaylorSophia I ThomopoulosPaul M ThompsonManuela TondelliAnna Elisabetta VaudanoLucy E VivashYujiang WangBernd WeberChristopher D WhelanRoland WiestGavin P WinstonClarissa Lin YasudaCarrie R McDonaldDaniel C AlexanderSanjay M SisodiyaAndré Altmannnull null
Published in: Epilepsia (2022)
From cross-sectional MRI, we reconstructed a disease progression model that highlights a sequence of MRI changes that aligns with previous longitudinal studies. This model could be used to stage MTLE-HS subjects in other cohorts and help establish connections between imaging-based progression staging and clinical features.
Keyphrases
  • cross sectional
  • contrast enhanced
  • temporal lobe epilepsy
  • magnetic resonance imaging
  • multiple sclerosis
  • high resolution
  • diffusion weighted imaging
  • electronic health record
  • artificial intelligence
  • case control