Page 207 - MEGIN Book Of Abstracts - 2023

address all the above problems in a single framework, Merging Magnetoencephalography into Epilepsy
while maintaining benefits of PSO and MWK Means Presurgical Work-up Under the Framework of
methods. This study investigated the utility of this ap- Multimodal Integration (2020)
proach in lateralizing the epileptogenic hemisphere
for temporal lobe epilepsy (TLE) cases using magne- Choi, Joon Yul; Wang, Zhong Irene
toencephalography (MEG) coherence source imaging
(CSI) and diffusion tensor imaging (DTI). Using MEG-CSI, Epilepsy Center, Neurological Institute, Cleveland Clinic, Desk
we analyzed preoperative resting state MEG data from S51, 9500 Euclid Avenue, Cleveland, OH 44195, USA; Epilepsy
17 adults TLE patients with Engel class I outcomes to Center, Neurological Institute, Cleveland Clinic, Desk S51,
determine coherence at 54 anatomical sites and com- 9500 Euclid Avenue, Cleveland, OH 44195, USA. Electronic
pared the results with 17 age- and gender-matched address: [email protected]
controls. Fiber-tracking was performed through the
same anatomical sites using DTI data. Indices of both ABSTRACT Multimodal image integration is the
MEG coherence and DTI nodal degree were calculated. procedure that puts together imaging data from
A PSO + MWK-Means clustering algorithm was applied multiple sources into the same space by a computer-
to identify the side of temporal lobe epileptogenicity ized registration process. This procedure is relevant to
and distinguish between normal and TLE cases. The patients with difficult-to-localize epilepsy undergoing
PSO module was aimed at identifying initial cluster presurgical evaluation, who typically have many tests
centroids and assigning initial feature weights to performed, including MR imaging, PET, ictal single-
cluster centroids and, hence, transferring to the MWK- photon emission computed tomography, magnetoen-
Means module for the final optimal clustering solution. cephalography (MEG), and intracranial electroencepha-
We demonstrated improvements with the use of the logram (EEG). This article describes the methodology of
PSO + MWK-Means clustering algorithm compared such integration, focusing on integration of MEG. Also
to that of K-Means and MWK-Means independently. discussed is the clinical value of integration of MEG,
PSO + MWK-Means was able to successfully distinguish in terms of planning of intracranial EEG implantation,
between normal and TLE in 97.2% and 82.3% of cases interpretation of intracranial EEG data, planning of final
for DTI and MEG data, respectively. It also lateralized resection, and addressing surgical failures.
left and right TLE in 82.3% and 93.6% of cases for DTI
and MEG data, respectively. The proposed optimization Keywords: Epilepsy, ICEEG, MEG, Multimodal, Presurgical
and clustering methodology for MEG and DTI features, evaluation, SEEG
as they relate to focal epileptogenicity, would enhance
the identification of the TLE laterality in cases of unilat- Neuroimaging clinics of North America (2020), Vol. 30, No.
eral epileptogenicity. 2 (32336411) (2 citations)

Keywords: Coherence, Diffusion tensor imaging, Func-
tional connectivity, Magnetoencephalography, Minkowski MEG for Greater Sensitivity and More Precise
weighted K-means clustering, Nodal degree, Particle Localization in Epilepsy (2020)
swarm optimization, Structural connectivity, Temporal
lobe epilepsy Burgess, Richard C

Brain topography (2020), Vol. 33, No. 4 (32347472) (2 Epilepsy Center, Neurological Institute, The Cleveland Clinic
citations) Foundation, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
Electronic address: [email protected]

ABSTRACT Magnetoencephalography is the non-
invasive measurement of miniscule magnetic fields

 ontents  Index 186
C