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60 months. Among 258 patients who were followed    Canada; Department of Physiology, University of Toronto,
            up for at least 12 months, 215 (83.3%) patients had a   Canada; Department of Neurosurgery, Cincinnati Children's
            favorable seizure outcome (Engel class I) after surgery,   Hospital Medical Center, Cincinnati, OH, USA; Department of
            and 43 (16.7%) patients had an unfavorable seizure   Neurosurgery, University of Cincinnati College of Medicine,
            outcome; longer duration of epilepsy, discordant   Cincinnati, OH, USA
            magnetoencephalography (MEG) findings, and acute
            postoperative seizures were significantly included   OBJECTIVE To clinically validate the connectivity-based
            in the scoring system to predict unfavorable seizure   magnetoencephalography (MEG) analyses to identify
            outcomes, and in the scoring system, accumulated   seizure onset zone (SOZ) with comparing to equivalent
            scoring of 0-19 scores was recorded, which were finally   current dipole (ECD).
            grouped into three risk levels: low risk (risk < 30%), me-
            dium risk (30% ≤ risk < 70%), and high risk (risk ≥ 70%).   METHODS The ECD cluster was quantitatively analyzed
            In addition, favorable neurological outcomes (mRS   by calculating the centroid of the cluster and maximum
            score 0-1) were recorded in 187 (72.5%) patients, while   distance (the largest distance between all dipoles). The
            unfavorable neurological outcomes were recorded in   "primary hub" was determined by the highest eigen-
            71 (27.5%) patients, which were significantly related to   centrality. The distribution of nodes in the top 5% of
            poor seizure control, older age at surgery, and longer   eigenvector centrality values was quantified by gener-
            duration of epilepsy and hospitalization time.     ating the convex hull between each node.


            SIGNIFICANCE The long-term surgical outcomes of    RESULTS Thirty-one patients who underwent MEG,
            LEAT after surgery were satisfactory. A scoring system   stereotactic-EEG, and focal surgery were included.
            for predicting unfavorable seizure outcomes with dif-  The primary hub was significantly closer to the sEEG-
            ferent risk levels was developed, which could partly   defined SOZ compared to ECD (p = 0.009). The seizure
            guide clinical treatments of LEAT.                 freedom positive and negative predictive values of
                                                               complete ECD cluster and primary hub resections did
            Keywords: brain tumor, epilepsy surgery, neurological out-  not significantly differ, although complete resection of
            come, prognostic factor, seizure outcome           the primary hub showed slightly better negative pre-
                                                               dictive value (ECD: 50.0% NPV, hub: 64.7% NPV). Both
            Epilepsia open (2022), Vol. 7, No. 4 (36081402) (1 citation)  quantitative ECD and functional connectivity analyses
                                                               suggested that spatially restricted dipole distributions
                                                               and higher connectivity in a smaller region correlate
            Clinical validation of magnetoencephalography      with better seizure outcomes.
            network analysis for presurgical epilepsy evaluation
            (2022)                                             CONCLUSIONS Our findings suggest that MEG net-
                                                               work analysis could be a valuable complement to the
                            Fujiwara, Hisako; Kadis, Darren S; Greiner, Hansel M;   ECD methods.
            Holland, Katherine D; Arya, Ravindra; Aungaroon,
            Gewalin; Fong, Susan L; Arthur, Todd M; Kremer, Kelly M;   SIGNIFICANCE The results of this study are an impor-
            Lin, Nan; Liu, Wei; Mangano, Francesco T; Skoch, Jesse;   tant step towards using non-invasive neurophysiologic
            Horn, Paul S; Tenney, Jeffrey R                    recordings to accurately define the epileptic network.


            Division of Neurology, Cincinnati Children's Hospital Medical
            Center, Cincinnati OH, USA; Department of Pediatrics, Uni-
            versity of Cincinnati College of Medicine, Cincinnati, OH, USA.
            Electronic address: [email protected]; Neurosci-
            ences and Mental Health, Hospital for Sick Children, Toronto,







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