Brain imaging in the assessment for epilepsy surgery

Advanced search
Browse by:

Department | Year

UCL Theses | Latest

Deposit your research

Brain imaging in the assessment for epilepsy surgery

Duncan, JS; Winston, GP; Koepp, MJ; Ourselin, S; (2016) Brain imaging in the assessment for epilepsy surgery. The Lancet Neurology , 15 (4) pp. 420-433. 10.1016/S1474-4422(15)00383-X. Green open access

Preview	Text Duncan_Brain imaging in epilepsy REV LN Revision3 21 11 15 clean.pdf Download (370kB) \| Preview
Preview	Text Duncan_Figure 1.pdf Download (13kB) \| Preview
Preview	Image Duncan_Figure 2.png Download (2MB) \| Preview
Preview	Image Duncan_Figure 3.TIF Download (867kB) \| Preview
Preview	Image Duncan_Figure 4A.tif Download (994kB) \| Preview
Preview	Image Duncan_Figure 5.png Download (1MB) \| Preview
Preview	Image Duncan_Figure 6.tif Download (570kB) \| Preview
Preview	Image Duncan_Figure 7A.tif Download (3MB) \| Preview
Preview	Image Duncan_Figure 7B.tif Download (3MB) \| Preview
Preview	Image Duncan_Figure 7C.tif Download (4MB) \| Preview

Abstract

Brain imaging has a crucial role in the presurgical assessment of patients with epilepsy. Structural imaging reveals most cerebral lesions underlying focal epilepsy. Advances in MRI acquisitions including diffusion-weighted imaging, post-acquisition image processing techniques, and quantification of imaging data are increasing the accuracy of lesion detection. Functional MRI can be used to identify areas of the cortex that are essential for language, motor function, and memory, and tractography can reveal white matter tracts that are vital for these functions, thus reducing the risk of epilepsy surgery causing new morbidities. PET, SPECT, simultaneous EEG and functional MRI, and electrical and magnetic source imaging can be used to infer the localisation of epileptic foci and assist in the design of intracranial EEG recording strategies. Progress in semi-automated methods to register imaging data into a common space is enabling the creation of multimodal three-dimensional patient-specific datasets. These techniques show promise for the demonstration of the complex relations between normal and abnormal structural and functional data and could be used to direct precise intracranial navigation and surgery for individual patients.

Type:	Article
Title:	Brain imaging in the assessment for epilepsy surgery
Open access status:	An open access version is available from UCL Discovery
DOI:	10.1016/S1474-4422(15)00383-X
Publisher version:	http://dx.doi.org/10.1016/S1474-4422(15)00383-X
Language:	English
Additional information:	© 2016. This manuscript version is published under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International licence (CC BY-NC-ND 4.0). This licence allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licences are available at http://creativecommons.org/licenses/by/4.0.
UCL classification:	UCL 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/1476562

Downloads since deposit

1,076Downloads

Download activity - last month

Download activity - last 12 months

Downloads by country - last 12 months

Archive Staff Only

View Item