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of 0.7) times higher (P < .001) with on-scalp MEG, and   of MEG and some potential clinical applications are
            the SNR was 27% (16.7 of 13.2) to 60% (12.8 of 8.0)   briefly reviewed.
            higher (P value range: .001-.009) with on-scalp MEG
            in all but one participant (P = .93), whose head move-  Arquivos de neuro-psiquiatria (2022), Vol. 80, No. 5
            ments created pronounced motion artifacts. The neural   (35486819) (0 citations)
            source of averaged IEDs was located at approximately
            5 mm (n = 3) or higher (8.3 mm, n = 1; 15.6 mm, n =
            1) between on-scalp and cryogenic MEG. Conclusion   Fast parametric curve matching (FPCM) for
            Despite the limited number of sensors and scalp cover-  automatic spike detection (2022)
            age, on-scalp magnetoencephalography (MEG) based
            on optically pumped magnetometers helped detect in-                    Kleeva, Daria; Soghoyan, Gurgen; Komoltsev, Ilia;
            terictal epileptiform discharges in school-aged children   Sinkin, Mikhail; Ossadtchi, Alexei
            with epilepsy with a higher amplitude, higher signal-
            to-noise ratio, and similar localization value compared   Center for Bioelectric Interfaces, Higher School of Economics,
            with conventional cryogenic MEG. Online supplemen-  Moscow, Russia; Moscow Research and Clinical Center for
            tal material is available for this article. © RSNA, 2022 See   Neuropsychiatry of the Healthcare Department of Moscow,
            also the editorial by Widjaja in this issue.       Moscow, Russia; NV Sklifosovsky Research Institute of Emer-
                                                               gency Medicine, Moscow, Russia; AIRI, Artificial Intelligence
            Radiology (2022), Vol. 304, No. 2 (35503013) (7 citations)  Research Institute, Moscow, Russia


                                                               ABSTRACT Objective. Epilepsy is a widely spread
            Magnetoencephalography in clinical practice (2022)  neurological disease, whose treatment often requires
                                                               resection of the pathological cortical tissue. Interictal
                        Hegazy, Mohamed; Gavvala, Jay          spike analysis observed in the non-invasively collected
                                                               EEG or MEG data offers an attractive way to localize
            Baylor College of Medicine, Neurology, Houston, Texas, United   epileptogenic cortical structures for surgery plan-
            States                                             ning purposes. Interictal spike detection in lengthy
                                                               multichannel data is a daunting task that is still often
            ABSTRACT Magnetoencephalography (MEG) is a         performed manually. This frequently limits such an
            neurophysiological technique that measures the     analysis to a small portion of the data which renders
            magnetic fields associated with neuronal activity in the   the appropriate risks of missing the potentially epilep-
            brain. It is closely related but distinct from its counter-  togenic region. While a plethora of automatic spike
            part electroencephalography (EEG). The first MEG was   detection techniques have been developed each with
            recorded more than 50 years ago and has technologi-  its own assumptions and limitations, none of them is
            cally evolved over this time. It is now well established   ideal and the best results are achieved when the output
            in clinical practice particularly in the field of epilepsy   of several automatic spike detectors are combined.
            surgery and functional brain mapping. However, under-  This is especially true in the low signal-to-noise ratio
            utilization and misunderstanding of the clinical applica-  conditions. To this end we propose a novel biomimetic
            tions of MEG is a challenge to more widespread use of   approach for automatic spike detection based on a
            this technology. A fundamental understanding of the   constrained mixed spline machinery that we dub as fast
            neurophysiology and physics of MEG is discussed in   parametric curve matching (FPCM).Approach. Using
            this article as well as practical issues related to imple-  the peak-wave shape parametrization, the constrained
            mentation, analysis, and clinical applications. The future   parametric morphological model is constructed and
                                                               convolved with the observed multichannel data to
                                                               efficiently determine mixed spline parameters corre-
                                                               sponding to each time-point in the dataset. Then the







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