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Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.
Pellegrino, Giovanni; Hedrich, Tanguy; Porras-Bettancourt, Manuel; Lina, Jean-Marc; Aydin, Ümit; Hall, Jeffery; Grova, Christophe; Kobayashi, Eliane.
Afiliación
  • Pellegrino G; Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Hedrich T; IRCCS Fondazione San Camillo Hospital, Venice, Italy.
  • Porras-Bettancourt M; Department of Multimodal Functional Imaging Lab, Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
  • Lina JM; Department of Multimodal Functional Imaging Lab, Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
  • Aydin Ü; Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Hall J; Departement de Genie Electrique, Ecole de Technologie Superieure, Montreal, Quebec, Canada.
  • Grova C; Centre de Recherches Mathematiques, Montréal, Quebec, Canada.
  • Kobayashi E; Physics Department and PERFORM Centre, Concordia University, Montreal, Quebec, Canada.
Hum Brain Mapp ; 41(11): 3019-3033, 2020 08 01.
Article en En | MEDLINE | ID: mdl-32386115
Source localization of interictal epileptiform discharges (IEDs) is clinically useful in the presurgical workup of epilepsy patients. We aimed to compare the performance of four different distributed magnetic source imaging (dMSI) approaches: Minimum norm estimate (MNE), dynamic statistical parametric mapping (dSPM), standardized low-resolution electromagnetic tomography (sLORETA), and coherent maximum entropy on the mean (cMEM). We also evaluated whether a simple average of maps obtained from multiple inverse solutions (Ave) can improve localization accuracy. We analyzed dMSI of 206 IEDs derived from magnetoencephalography recordings in 28 focal epilepsy patients who had a well-defined focus determined through intracranial EEG (iEEG), epileptogenic MRI lesions or surgical resection. dMSI accuracy and spatial properties were quantitatively estimated as: (a) distance from the epilepsy focus, (b) reproducibility, (c) spatial dispersion (SD), (d) map extension, and (e) effect of thresholding on map properties. Clinical performance was excellent for all methods (median distance from the focus MNE = 2.4 mm; sLORETA = 3.5 mm; cMEM = 3.5 mm; dSPM = 6.8 mm, Ave = 0 mm). Ave showed the lowest distance between the map maximum and epilepsy focus (Dmin lower than cMEM, MNE, and dSPM, p = .021, p = .008, p < .001, respectively). cMEM showed the best spatial features, with lowest SD outside the focus (SD lower than all other methods, p < .001 consistently) and high contrast between the generator and surrounding regions. The average map Ave provided the best localization accuracy, whereas cMEM exhibited the lowest amount of spurious distant activity. dMSI techniques have the potential to significantly improve identification of iEEG targets and to guide surgical planning, especially when multiple methods are combined.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Magnetoencefalografía / Corteza Cerebral / Epilepsias Parciales / Electroencefalografía Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Magnetoencefalografía / Corteza Cerebral / Epilepsias Parciales / Electroencefalografía Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos