Eleonora Tamilia1, Michel AlHilani1, Naoaki Tanaka2, Melissa Tsuboyama3, Jurriaan M Peters3, P Ellen Grant4, Joseph R Madsen5, Steven M Stufflebeam6, Phillip L Pearl3, Christos Papadelis7. 1. Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Fetal-Neonatal Neuroimaging Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. 2. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Sapporo Neuroimaging Research Group, Sapporo, Japan. 3. Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. 4. Fetal-Neonatal Neuroimaging Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. 5. Division of Epilepsy Surgery, Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, USA. 6. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. 7. Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Fetal-Neonatal Neuroimaging Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: christos.papadelis@childrens.harvard.edu.
Abstract
OBJECTIVE: To evaluate the accuracy and clinical utility of conventional 21-channel EEG (conv-EEG), 72-channel high-density EEG (HD-EEG) and 306-channel MEG in localizing interictal epileptiform discharges (IEDs). METHODS: Twenty-four children who underwent epilepsy surgery were studied. IEDs on conv-EEG, HD-EEG, MEG and intracranial EEG (iEEG) were localized using equivalent current dipoles and dynamical statistical parametric mapping (dSPM). We compared the localization error (ELoc) with respect to the ground-truth Irritative Zone (IZ), defined by iEEG sources, between non-invasive modalities and the distance from resection (Dres) between good- (Engel 1) and poor-outcomes. For each patient, we estimated the resection percentage of IED sources and tested whether it predicted outcome. RESULTS: MEG presented lower ELoc than HD-EEG and conv-EEG. For all modalities, Dres was shorter in good-outcome than poor-outcome patients, but only the resection percentage of the ground-truth IZ and MEG-IZ predicted surgical outcome. CONCLUSIONS: MEG localizes the IZ more accurately than conv-EEG and HD-EEG. MSI may help the presurgical evaluation in terms of patient's outcome prediction. The promising clinical value of ESI for both conv-EEG and HD-EEG prompts the use of higher-density EEG-systems to possibly achieve MEG performance. SIGNIFICANCE: Localizing the IZ non-invasively with MSI/ESI facilitates presurgical evaluation and surgical prognosis assessment.
OBJECTIVE: To evaluate the accuracy and clinical utility of conventional 21-channel EEG (conv-EEG), 72-channel high-density EEG (HD-EEG) and 306-channel MEG in localizing interictal epileptiform discharges (IEDs). METHODS: Twenty-four children who underwent epilepsy surgery were studied. IEDs on conv-EEG, HD-EEG, MEG and intracranial EEG (iEEG) were localized using equivalent current dipoles and dynamical statistical parametric mapping (dSPM). We compared the localization error (ELoc) with respect to the ground-truth Irritative Zone (IZ), defined by iEEG sources, between non-invasive modalities and the distance from resection (Dres) between good- (Engel 1) and poor-outcomes. For each patient, we estimated the resection percentage of IED sources and tested whether it predicted outcome. RESULTS: MEG presented lower ELoc than HD-EEG and conv-EEG. For all modalities, Dres was shorter in good-outcome than poor-outcome patients, but only the resection percentage of the ground-truth IZ and MEG-IZ predicted surgical outcome. CONCLUSIONS: MEG localizes the IZ more accurately than conv-EEG and HD-EEG. MSI may help the presurgical evaluation in terms of patient's outcome prediction. The promising clinical value of ESI for both conv-EEG and HD-EEG prompts the use of higher-density EEG-systems to possibly achieve MEG performance. SIGNIFICANCE: Localizing the IZ non-invasively with MSI/ESI facilitates presurgical evaluation and surgical prognosis assessment.
Authors: Salah Almubarak; Andreas Alexopoulos; Felix Von-Podewils; Z Irene Wang; Yosuke Kakisaka; John C Mosher; Juan Bulacio; Jorge González-Martínez; Williams Bingaman; Richard C Burgess Journal: Epilepsy Res Date: 2014-09-03 Impact factor: 3.045
Authors: Hiroatsu Murakami; Zhong I Wang; Ahmad Marashly; Balu Krishnan; Richard A Prayson; Yosuke Kakisaka; John C Mosher; Juan Bulacio; Jorge A Gonzalez-Martinez; William E Bingaman; Imad M Najm; Richard C Burgess; Andreas V Alexopoulos Journal: Brain Date: 2016-11-01 Impact factor: 13.501
Authors: Eleonora Tamilia; Eun-Hyoung Park; Stefania Percivati; Jeffrey Bolton; Fabrizio Taffoni; Jurriaan M Peters; P Ellen Grant; Phillip L Pearl; Joseph R Madsen; Christos Papadelis Journal: Ann Neurol Date: 2018-09-04 Impact factor: 10.422
Authors: Agustina M Lascano; Thomas Perneger; Serge Vulliemoz; Laurent Spinelli; Valentina Garibotto; Christian M Korff; Maria I Vargas; Christoph M Michel; Margitta Seeck Journal: Clin Neurophysiol Date: 2015-05-09 Impact factor: 3.708
Authors: Eleonora Tamilia; Joseph R Madsen; Patricia Ellen Grant; Phillip L Pearl; Christos Papadelis Journal: Front Neurol Date: 2017-01-30 Impact factor: 4.003
Authors: Michel Alhilani; Eleonora Tamilia; Lorenzo Ricci; Laura Ricci; P Ellen Grant; Joseph R Madsen; Phillip L Pearl; Christos Papadelis Journal: Clin Neurophysiol Date: 2020-01-20 Impact factor: 3.708
Authors: Margherita A G Matarrese; Alessandro Loppini; Saeed Jahromi; Eleonora Tamilia; Lorenzo Fabbri; Joseph R Madsen; Phillip L Pearl; Simonetta Filippi; Christos Papadelis Journal: Annu Int Conf IEEE Eng Med Biol Soc Date: 2021-11
Authors: Hongbae Jeong; Georgios Ntolkeras; P Ellen Grant; Giorgio Bonmassar Journal: IEEE Trans Electromagn Compat Date: 2021-08-16 Impact factor: 2.036
Authors: Lorenzo Ricci; Eleonora Tamilia; Michel Alhilani; Aliza Alter; Μ Scott Perry; Joseph R Madsen; Jurriaan M Peters; Phillip L Pearl; Christos Papadelis Journal: Clin Neurophysiol Date: 2021-04-28 Impact factor: 4.861
Authors: Christos Papadelis; Shannon E Conrad; Yanlong Song; Sabrina Shandley; Daniel Hansen; Madhan Bosemani; Saleem Malik; Cynthia Keator; M Scott Perry Journal: Front Hum Neurosci Date: 2022-01-25 Impact factor: 3.169
Authors: Eleonora Tamilia; Matilde Dirodi; Michel Alhilani; P Ellen Grant; Joseph R Madsen; Steven M Stufflebeam; Phillip L Pearl; Christos Papadelis Journal: Ann Clin Transl Neurol Date: 2020-02-25 Impact factor: 4.511
Authors: Javier Urriola; Steffen Bollmann; Fred Tremayne; Hana Burianová; Lars Marstaller; David Reutens Journal: Neuroimage Clin Date: 2020-09-18 Impact factor: 4.881