Author:
Mellor Stephanie,Timms Ryan C.,O’Neill George C.,Tierney Tim M.,Spedden Meaghan E.,Spitzer Hannah,Ripart Mathilde,Whitaker Kirstie,Napolitano Antonio,De Palma Luca,De Benedictis Alessandro,Foldes Stephen,Zhang Kai,Hu Wenhan,Mo Jiajie,Likeman Marcus,Davies Shirin,Güttler Christopher,Lenge Matteo,Cohen Nathan T.,Tang Yingying,Wang Shan,Chari Aswin,Tisdall Martin,Bargallo Nuria,Conde-Blanco Estefanía,Pariente Jose Carlos,Pascual-Diaz Saül,Delgado-Martínez Ignacio,Pérez-Enríquez Carmen,Lagorio Ilaria,Abela Eugenio,Mullatti Nandini,O’Muircheartaigh Jonathan,Vecchiato Katy,Liu Yawu,Caligiuri Maria Eugenia,Sinclair Ben,Vivash Lucy,Willard Anna,Kandasamy Jothy,McLellan Ailsa,Sokol Drahoslav,Semmelroch Mira,Kloster Ane G.,Ribeiro Letícia,Yasuda Clarissa,Rossi-Espagnet Camilla,Hamandi Khalid,Tietze Anna,Barba Carmen,Guerrini Renzo,Gaillard William Davis,You Xiaozhen,Wang Irene,González-Ortiz Sofía,Severino Mariasavina,Striano Pasquale,Tortora Domenico,Kälviäinen Reetta,Gambardella Antonio,Labate Angelo,Desmond Patricia,Lui Elaine,O’Brien Terence,Shetty Jay,Jackson Graeme,Duncan John S.,Winston Gavin P.,Pinborg Lars H.,Cendes Fernando,Cross J. Helen,Baldeweg Torsten,Adler Sophie,Brookes Matthew J.,Wagstyl Konrad,Barnes Gareth R.,
Abstract
AbstractWhen planning for epilepsy surgery, multiple potential sites for resection may be identified through anatomical imaging. Magnetoencephalography (MEG) using optically pumped sensors (OP-MEG) is a non-invasive functional neuroimaging technique which could be used to help identify the epileptogenic zone from these candidate regions. Here we test the utility of a-priori information from anatomical imaging for differentiating potential lesion sites with OP-MEG. We investigate a number of scenarios: whether to use rigid or flexible sensor arrays, with or without a-priori source information and with or without source modelling errors. We simulated OP-MEG recordings for 1309 potential lesion sites identified from anatomical images in the Multi-centre Epilepsy Lesion Detection (MELD) project. To localise the simulated data, we used three source inversion schemes: unconstrained, prior source locations at centre of the candidate sites, and prior source locations within a volume around the lesion location. We found that prior knowledge of the candidate lesion zones made the inversion robust to errors in sensor gain, orientation and even location. When the reconstruction was too highly restricted and the source assumptions were inaccurate, the utility of this a-priori information was undermined. Overall, we found that constraining the reconstruction to the region including and around the participant’s potential lesion sites provided the best compromise of robustness against modelling or measurement error.
Funder
Engineering and Physical Sciences Research Council
Wellcome Trust
Epilepsy Research UK
Young Epilepsy
Rosetrees Trust
Publisher
Springer Science and Business Media LLC