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.
![[thumbnail of 1-s2.0-S0920121113001964-main.pdf]](https://discovery.ucl.ac.uk/style/images/fileicons/application_pdf.png) Preview |
PDF
1-s2.0-S0920121113001964-main.pdf Download (2MB) |
![[thumbnail of 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.]](https://discovery.ucl.ac.uk/1409788/2/1-s2.0-S0920121113001964-gr1.jpg)  Preview |
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.)
1-s2.0-S0920121113001964-gr1.jpg Download (88kB) |
![[thumbnail of JPG Fig. 2. 3D models simulating intracranial depth electrodes. Patient 13.]](https://discovery.ucl.ac.uk/1409788/3/1-s2.0-S0920121113001964-gr2.jpg)  Preview |
Other (JPG Fig. 2. 3D models simulating intracranial depth electrodes. Patient 13.)
1-s2.0-S0920121113001964-gr2.jpg Download (28kB) |
![[thumbnail of Table 1. The typical geometric parameters of the typical images utilised in M3N.]](https://discovery.ucl.ac.uk/style/images/fileicons/application_vnd.ms-excel.png) |
Excel Spreadsheet ( Table 1. The typical geometric parameters of the typical images utilised in M3N.)
table.csv Download (931B) |
![[thumbnail of PJG Fig. 3. 3D model simulating intracranial grid electrode. Patient 15.]](https://discovery.ucl.ac.uk/1409788/5/1-s2.0-S0920121113001964-gr3.jpg)  Preview |
Other (PJG Fig. 3. 3D model simulating intracranial grid electrode. Patient 15.)
1-s2.0-S0920121113001964-gr3.jpg Download (23kB) |
![[thumbnail of JPG Fig. 4. Use of M3N during implantation surgery of Patient 2 (left lateral 3D views).]](https://discovery.ucl.ac.uk/1409788/6/1-s2.0-S0920121113001964-gr4.jpg)  Preview |
Other (JPG Fig. 4. Use of M3N during implantation surgery of Patient 2 (left lateral 3D views).)
1-s2.0-S0920121113001964-gr4.jpg Download (77kB) |
![[thumbnail of JPG Fig. 5. Use of M3N during implantation surgery of Patient 5.]](https://discovery.ucl.ac.uk/1409788/7/1-s2.0-S0920121113001964-gr5.jpg)  Preview |
Other (JPG Fig. 5. Use of M3N during implantation surgery of Patient 5.)
1-s2.0-S0920121113001964-gr5.jpg Download (119kB) |
![[thumbnail of JPG Fig. 6. Use of M3N for implantation of depth electrodes in Patient 13.]](https://discovery.ucl.ac.uk/1409788/8/1-s2.0-S0920121113001964-gr6.jpg)  Preview |
Other (JPG Fig. 6. Use of M3N for implantation of depth electrodes in Patient 13.)
1-s2.0-S0920121113001964-gr6.jpg Download (75kB) |
![[thumbnail of Appendix A. Supplementary data mmc1.doc]](https://discovery.ucl.ac.uk/style/images/fileicons/application_msword.png) |
MS Word (Appendix A. Supplementary data mmc1.doc)
mmc1.doc Download (46kB) |
|
MS Word (Appendix A. Supplementary data mmc2.doc)
mmc2.doc Download (45kB) |
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.
Archive Staff Only
 |
View Item |
