Magnetoencephalography using gradient magnetic field topography (GMFT) can predict successful anterior corpus callosotomy in patients with drop attacks

Anterior corpus callosotomy in patients with drug-resistant epilepsy: Invasive EEG findings and seizure outcomes

“…Interestingly, while several studies have combined atonic and tonic seizures into a single category of “drop attacks” [18] , [19] , the proportion of patients with favorable seizure outcomes was similar across the studies recounting “drop attacks” and atonic seizures alone [12] , [18] , [20] , [21] . The decrease in frequency of atonic seizures following the anterior CC was also demonstrated by Kagawa et al [22] . The authors proposed that surgery disrupted anterior ictogenic pathways responsible for the propagation of atonic seizures.…”

Predictive value of MEG using gradient magnetic field topography (GMFT) for seizure outcome following anterior corpus callosotomy (ACC) in patients with drop attacks

“…Specifically, in a subset of patients with drop attacks, the anterior 2/3 corpus callosum might be a part of ictogenic pathway of drop attacks (Bower et al, 2013;Kagawa et al, 2015). This study was the first to show the predictive value of MEG with GMFT for successful anterior corpus callosotomy (ACC) in patients with drop attacks (Kagawa et al, 2015). Additionally, it is important to mention that GMFT does not require solving the inverse problem.…”

“…This new study further evaluates the value of MEG with GMFT for a successful seizure outcome of ACC in patients with drop attacks (Kagawa et al, 2015).…”

“…A recent study evaluated generalized spikes based on MEG and GMFT before and after ACC in patients with symptomatic generalized epilepsy and drop attacks (Kagawa et al, 2015). They demonstrated that MEG using GMFT predicted postoperative seizure outcome in patients who underwent ACC for drop attacks.…”

“…The critical question that should be addressed is the following: do detection and localization of epileptiform discharges provide an accurate guide for the determination of epilepsy localization prior to surgery (Knowlton, 2008)? On which types of epilepsy can MEG guide localization successfully (with or without solving the inverse problem (respectively, Mu et al, 2014, andKagawa et al, 2015)?…”