Multi-modal brain imaging software for guiding invasive treatment of epilepsy

P.P.W. Ossenblok, S. Marien, S.P.L. Meesters, L.M.J. Florack, P. Hofman, O.E.M.G. Schijns, A. Colon

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Purpose:
The surgical treatment of patients with complex epilepsies is
changing more and more from open, invasive surgery towards minimally
invasive, image guided treatment. Multi-modal brain imaging procedures
are developed to delineate preoperatively the region of the brain which is
responsible for the epilepsy of a patient and delimit the functional areas
relative to this region. The ultimate aim is to provide the neurosurgeon
with a clear and intuitive image of the targeted epileptogenic region in
order to render the patient seizure free, while avoiding damage to elo-
quent cortex.
Method:
A software product (SP) is developed for multi-modality map-
ping of the analysis results of non-invasive and invasive epilepsy record-
ings and visualization of these results against brain anatomy. The SP
contains several pre-programmed sequences for creating the most com-
monly used multi-modality brain images that can be used to delineate the
epileptic tissue versus functional areas, like visualization of inverse solu-
tions of high density EEG and MEG, EEG informed functional MRI
(fMRI) visualizations and functional Near-Infrared Spectroscopy
(fNIRS) projections.
Results:
The SP is optimized for intuitive and clinical usage to interac-
tively explore the different modalities in relation to the available anatom-
ical and structural MRI data. The distinct modalities can be combined by
3D-fusion of the images and visualized in 2D- and 3D-MRI viewports
against the implanted depth electrodes and the brain mapping results of
the invasive EEG recordings.
Conclusion:
Multi-modal functional and structural brain imaging
applied on data of the individual patient can be used for guiding surgical
resections with minimal disruption of brain anatomy, while rendering a
patient seizure free.
Acknowledgement:
This study is part of the project

Advancing Smart
Optical Imaging and Sensing for Health (ASTONISH)

that has received
funding from ECSEL Joint Undertaking (grant no. 692470).
Original languageEnglish
Article numberP0682
Pages (from-to)S125
JournalEpilepsia
Volume58
Issue numberS5
Publication statusPublished - Dec 2017
Event32nd International Epilepsy Congress - Barcelona, Spain
Duration: 2 Sep 20176 Sep 2017

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