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Feasibility of multimodal 3D neuroimaging to guide implantation of intracranial EEG electrodes

Rodionov, R; Vollmar, C; Nowell, M; Miserocchi, A; Wehner, T; Micallef, C; Zombori, G; ... Duncan, JS; + view all (2013) Feasibility of multimodal 3D neuroimaging to guide implantation of intracranial EEG electrodes. Epilepsy Research , 107 (1-2) pp. 91-100. 10.1016/j.eplepsyres.2013.08.002. Green open access

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Other (JPG Fig. 1. Workflow of M3N for presurgical evaluation of epilepsy patients with focus on the details of the data integration stage for guidance of implantation.)
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Other (JPG Fig. 2. 3D models simulating intracranial depth electrodes. Patient 13.)
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[img] Excel Spreadsheet ( Table 1. The typical geometric parameters of the typical images utilised in M3N.)
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Other (PJG Fig. 3. 3D model simulating intracranial grid electrode. Patient 15.)
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Other (JPG Fig. 4. Use of M3N during implantation surgery of Patient 2 (left lateral 3D views).)
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Other (JPG Fig. 5. Use of M3N during implantation surgery of Patient 5.)
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Other (JPG Fig. 6. Use of M3N for implantation of depth electrodes in Patient 13.)
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[img] MS Word (Appendix A. Supplementary data mmc1.doc)
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[img] MS Word (Appendix A. Supplementary data mmc2.doc)
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Abstract

Since intracranial electrode implantation has limited spatial sampling and carries significant risk, placement has to be effective and efficient. Structural and functional imaging of several different modalities contributes to localising the seizure onset zone (SoZ) and eloquent cortex. There is a need to summarise and present this information throughout the pre/intra/post-surgical course.

Type: Article
Title: Feasibility of multimodal 3D neuroimaging to guide implantation of intracranial EEG electrodes
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.eplepsyres.2013.08.002
Publisher version: http://dx.doi.org/10.1016/j.eplepsyres.2013.08.002
Language: English
Additional information: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Keywords: Epilepsy, Multimodal, Neuroimaging, Surgery
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1409788
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