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Image Search Results
Journal: Clinical Neurophysiology
Article Title: An evaluation of kurtosis beamforming in magnetoencephalography to localize the epileptogenic zone in drug resistant epilepsy patients
doi: 10.1016/j.clinph.2017.12.040
Figure Lengend Snippet: Patient characteristics, MRI findings, number of spikes in the MEG recording, kurtosis beamformer and ECD localisation, location of the resection and surgery outcome (Engel class) are displayed for all patients. The kurtosis beamformer candidate source location is shown under ‘Kurtosis beamformer localisation’ and the VE peak number is shown under ‘Kurtosis beamformer notes’ (e.g. VE1 represents the first peak location).
Article Snippet: The kurtosis beamformer was applied to the presurgical MEG data using the
Techniques:
Journal: Clinical Neurophysiology
Article Title: An evaluation of kurtosis beamforming in magnetoencephalography to localize the epileptogenic zone in drug resistant epilepsy patients
doi: 10.1016/j.clinph.2017.12.040
Figure Lengend Snippet: Concordance between kurtosis beamformer localisation, resection cavity, and ECD localisation. Surgery outcome is provided in Engel classes.
Article Snippet: The kurtosis beamformer was applied to the presurgical MEG data using the
Techniques:
Journal: Clinical Neurophysiology
Article Title: An evaluation of kurtosis beamforming in magnetoencephalography to localize the epileptogenic zone in drug resistant epilepsy patients
doi: 10.1016/j.clinph.2017.12.040
Figure Lengend Snippet: Examples of all seizure-free patients, in whom the kurtosis beamformer results were concordant (sublobar and lobar overlap) with the resection cavity. Left : the preoperative structural MRI is shown in three views with overlays of the resection area (milky area), kurtosis beamformer results (hot/orange), placement of the VE in the kurtosis peaks (green dots), and ECD location (blue dots). The empty green circle centres on the best VE candidate for the kurtosis beamformer results. Slice views are centred around the kurtosis beamformer candidate source, therefore not all ECD point sources are visible. Right : A four second segment of the virtual electrode time series corresponding to the candidate source (the virtual electrode chosen as the kurtosis beamformer localisation) for each patient.
Article Snippet: The kurtosis beamformer was applied to the presurgical MEG data using the
Techniques:
Journal: Clinical Neurophysiology
Article Title: An evaluation of kurtosis beamforming in magnetoencephalography to localize the epileptogenic zone in drug resistant epilepsy patients
doi: 10.1016/j.clinph.2017.12.040
Figure Lengend Snippet: Sensitivity, specificity and accuracy for the concordance between kurtosis beamformer localisation, resection cavity, and ECD localisation.
Article Snippet: The kurtosis beamformer was applied to the presurgical MEG data using the
Techniques: