Page 140 - MEGIN Book Of Abstracts - 2023
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EMHapp: a pipeline for the automatic detection,    margins or SOZs in comparison with conventional VS
            localization and visualization of epileptic        reconstruction approaches.Significance.EMHapp is the
            magnetoencephalographic high-frequency             first GUI-based pipeline for the analysis of epileptic
            oscillations (2022)                                magnetoencephalographic HFOs, which conveniently
                                                               obtains HFO source locations using clinical data and
                          Cui, Wei; Cao, Miao; Wang, Xiongfei; Zheng, Li; Cen,   enables direct translation to clinical applications.
            Zhehang; Teng, Pengfei; Luan, Guoming; Gao, Jia-Hong
                                                               Keywords: MEG, beamformer, epilepsy, high-frequency
            Center for MRI Research, Academy for Advanced Interdisci-  oscillations, interictal epileptic discharges
            plinary Studies, Peking University, Beijing, People's Republic of
            China; Department of Neurosurgery, Beijing Key Laboratory   Journal of neural engineering (2022), Vol. 19, No. 5
            of Epilepsy, Sanbo Brain Hospital Capital Medical University,   (36108595) (0 citations)
            Beijing, People's Republic of China; Institute of Artificial Intel-
            ligence, Hefei Comprehensive National Science Center, Hefei,
            Anhui, People's Republic of China                  The long-term surgical outcomes of low-grade
                                                               epilepsy-associated neuroepithelial tumors (2022)
            ABSTRACT Objective.High-frequency oscillations
            (HFOs) are promising biomarkers for localizing epilep-                    Xie, Ming-Guo; Wang, Xiong-Fei; Qiao, Jiao; Zhou, Jian;
            togenic brain tissue. Previous studies have revealed   Guan, Yu-Guang; Liu, Chang-Qing; Zhao, Meng; Li, Tian-
            that HFOs that present concurrence with interictal epi-  Fu; Luan, Guo-Ming
            leptic discharges (IEDs) better delineate epileptogenic
            brain tissue, particularly for epilepsy patients with   Beijing Key Laboratory of Epilepsy, Sanbo Brain Hospital,
            multitype interictal discharges. However, the analysis   Capital Medical University, Beijing, China; Department of
            of noninvasively recorded epileptic HFOs involves   Neurology, Epilepsy Center, Sanbo Brain Hospital, Capital
            many complex procedures, such as data preprocessing,   Medical University, Beijing, China; Beijing Institute for Brain
            detection and source localization, impeding the trans-  Disorders, Capital Medical University, Beijing, China
            lation of this approach to clinical practice.Approach.
            To address these problems, we developed a graphical   OBJECTIVE This study aimed to evaluate the surgical
            user interface (GUI)-based pipeline called EMHapp,   outcomes and relevant prognostic factors in patients
            which can be used for the automatic detection, source   with low-grade epilepsy-associated neuroepithelial
            localization and visualization of HFO events concur-  tumors (LEAT) and, especially, to develop a scoring
            ring with IEDs in magnetoencephalography (MEG)     system to predict postoperative seizure outcomes.
            signals by using a beamformer-based virtual sensor
            (VS) technique. An improved VS reconstruction method   METHODS The clinical data of patients who underwent
            was developed to enhance the amplitudes of both HFO   epilepsy surgery for LEAT were retrospectively studied.
            and IED VS signals. To test the capability of our pipeline,   The surgical outcomes of seizure and neurological
            we collected MEG data from 11 complex focal epilepsy   statuses in patients were evaluated using Engel clas-
            patients with surgical resections or seizure onset zones   sification and modified Rankin Scale (mRS) scoring,
            (SOZs) that were identified by intracranial electroen-  respectively. A scoring system of seizure outcomes was
            cephalography.Main results.Our results showed that   constructed based on the weight of the β-coefficient
            the HFO sources of eight patients were concordant   estimate of each predictor in the final multivariate
            with their resection margins or SOZs. Our proposed   predicting model of seizure outcomes.
            VS signal reconstruction approach achieved an 83.2%
            improvement regarding the number of detected HFO   RESULTS Of the 287 patients (106 female) enrolled,
            events and a 17.3% improvement in terms of the spatial   the median age was 19 years at surgery and 10 years
            overlaps between the HFO sources and the resection   at seizure onset, with a median duration of epilepsy of







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