Primary motor cortex mapping in brain-lesioned patients using MEG resting-state functional connectivity

Abstract

Event Abstract Back to Event Primary motor cortex mapping in brain-lesioned patients using MEG resting-state functional connectivity Nicolas Coquelet1*, Vincent Wens1, Mathieu Bourguignon1, 2, Evelien Carrette3, Marc Op De Beeck1, Brice Marty1, Patrick Van Bogaert1, Serge Goldman1 and Xavier De Tiège1 1 Université Libre de Bruxelles, Belgium 2 Aalto University School of Science, Finland 3 Ghent University, Belgium Introduction: The use of resting-state activity for preoperative functional mapping represents a potential alternative to task-related localization in brain-lesioned patients, which requires minimal patients’ collaboration, avoids task-performance confounds and allows investigating several brain systems. This study tested the ability of magnetoencephalography (MEG) resting-state functional connectivity (rsFC) analysis to map the primary motor hand area (M1ha) in a group of presurgical patients. This method is based on the strong resting-state connectivity between the left and right M1ha. Methods: MEG resting-state data were recorded with a whole-scalp MEG (Elekta) in 10 presurgical patients (5 females, mean age: 37.7 years) with focal (6 patients) or hemispheric (3 patients) brain lesions, or refractory neuropathic pain (1 patient) (duration: 373±147s (mean±std), eyes open: 7 patients, eyes closed: 3 patients). MEG data (bandpass: 0.1-45Hz) were corrected for eye-movement and cardiac artifacts using independent component analysis. Source reconstruction was performed using a spherical conductor model determined from patient’s MRI and β-band (12-21 Hz) Minimum Norm Estimation. M1ha seed-based rsFC maps were obtained using slow source Hilbert envelope correlation from a seed located in the non-affected M1ha (MNI coordinates based on functional mapping literature). The localization of the correlation maximum in the hemisphere contralateral to the seed was compared to classical MEG or fMRI functional indicator(s). Results: In all patients, rsFC maps displayed inter-hemispheric resting-state connectivity. In 7 patients, a good concordance between the correlation global maximum located in the hemisphere contralateral to the seed and functional indicator(s) was found (cf. figure 1 for an example). In 1 patient, one local correlation maximum co-localized with functional indicators. Conclusion: This study suggests that MEG resting-state is able to map the M1ha in presurgical patients with brain disorders. Therefore, MEG resting-state might represent an interesting alternative to task-related functional mapping that should be considered as an additional functional indicator in the armamentarium of MEG M1ha mapping methods. Figure 1 Keywords: ongoing activity, Magnetoencephalography, Functional motor mapping, functional connectivity, primary motor cortex Conference: Belgian Brain Council 2014 MODULATING THE BRAIN: FACTS, FICTION, FUTURE, Ghent, Belgium, 4 Oct - 4 Oct, 2014. Presentation Type: Poster Presentation Topic: Clinical Neuroscience Citation: Coquelet N, Wens V, Bourguignon M, Carrette E, Op De Beeck M, Marty B, Van Bogaert P, Goldman S and De Tiège X (2014). Primary motor cortex mapping in brain-lesioned patients using MEG resting-state functional connectivity. Conference Abstract: Belgian Brain Council 2014 MODULATING THE BRAIN: FACTS, FICTION, FUTURE. doi: 10.3389/conf.fnhum.2014.214.00007 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 24 Jun 2014; Published Online: 25 Jun 2014. * Correspondence: Mr. Nicolas Coquelet, Université Libre de Bruxelles, Brussels, 1070, Belgium, nico.coquelet@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Nicolas Coquelet Vincent Wens Mathieu Bourguignon Evelien Carrette Marc Op De Beeck Brice Marty Patrick Van Bogaert Serge Goldman Xavier De Tiège Google Nicolas Coquelet Vincent Wens Mathieu Bourguignon Evelien Carrette Marc Op De Beeck Brice Marty Patrick Van Bogaert Serge Goldman Xavier De Tiège Google Scholar Nicolas Coquelet Vincent Wens Mathieu Bourguignon Evelien Carrette Marc Op De Beeck Brice Marty Patrick Van Bogaert Serge Goldman Xavier De Tiège PubMed Nicolas Coquelet Vincent Wens Mathieu Bourguignon Evelien Carrette Marc Op De Beeck Brice Marty Patrick Van Bogaert Serge Goldman Xavier De Tiège Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.