John W Rutland1, Rebecca E Feldman1, Lara V Marcuse2, Madeline C Fields2, Bradley N Delman3, Rafael O'Halloran1, and Priti Balchandani1
1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
Synopsis
This study measures alterations in wholebrain connectivity and
connectivity of the suspected seizure onset zone (SOZ) in MRI-negative epilepsy
patients. Short-range (U-fibers), long-range, and inter-limbic white matter
tracts were measured independently in a group of 19 epilepsy subjects and 10
healthy controls using diffusion imaging. Relative wholebrain hypo-connectivity
of both U-fibers and inter-limbic fibers was found in epilepsy subjects.
Additionally, hyper-connectivity of all 3 fiber types was found in SOZ regions
compared with non-SOZ regions. These findings suggest abnormal connectivity in MRI-negative
patients may prove useful in SOZ localization and treatment planning.
Introduction
Developing novel methods to localize the seizure onset zone (SOZ) in
non-lesional epilepsy patients may offer clinically utility, especially for
MRI-negative patients with normal clinical scans (1.5T or 3T). Previous studies
of epileptic patients have found both hyper- and hypo-connectivity in the
brain, however findings of altered structural connectivity have not yet been established
conclusively [1,2]. This study uses 7T MRI to elucidate connectomic
changes that occur in epilepsy patients by comparing U-fibers, long range
fibers, and inter-limbic fibers in 19 epilepsy patients and 10 healthy
controls. We hypothesized that epilepsy patients exhibit reduced counts of
inhibitory U-fibers but increased counts of long range and inter-limbic fibers. Methods
Eighteen epilepsy patients (17 MRI-negative for focal epilepsy) and 10 healthy
control subjects were scanned under an IRB-approved protocol using a 7T whole
body scanner (Siemens Magnetom). The scanning protocol included a T1-weighted
MP2RAGE sequence (0.7 mm isotropic resolution) and high-angular-resolved
diffusion-weighted dMRI (1.05 mm isotropic resolution, 68 directions).
Diffusion-weighted images were corrected for distortions and registered to
T1-weighted images.
Cortical and subcortical segmentations were obtained using FreeSurfer software (http://freesurfer.net/).
Wholebrain tractography (Figure 1a) was achieved using spherical deconvolution
and the iFOD2 [4] algorithm and SIFT in MRTRIX3 to define 10,000,000
fibers. Structural connectivity matrices
were calculated by counting tracks connecting each region in the FreeSurfer
segmentation (Figure 1b). Because suspected SOZ in MRI-negative patients is
often localized on a very gross scale (often by lobe), the structural
connectivity matrix (Figure 1d) was collapsed onto a coarser segmentation
(Figure 1c) consisting of the following 18 cortical regions (9 per hemisphere):
Superior Frontal, Mid-Frontal, Inferior Frontal, Pre-central, Post-central,
Superior Parietal, Temporal-Parietal, Temporal, and Occipital. Limbic regions
were segmented as well: hippocampus, amygdala, nucleus accumbens, thalamus,
caudate, putamen, and pallidum. Fibers connecting adjacent segmentations were classified
as U-fibers, non-adjacent and cortico-limbic fibers were considered long-range,
and fibers connecting limbic structures were inter-limbic (Figure 2).
For epilepsy subjects, suspected SOZ (sSOZ) was determined by experienced
neurologists. To compare connections in the sSOZ for each subject, regions in
the sSOZ were grouped together and compared to non-implicated regions.
Whole-brain connectivity was measured by quantifying the number of short-range
and long-range streamlines associated with each brain region. For each subject,
a z-score was calculated for every short-range, long-range, and inter-limbic fiber in the brain. Z-scores were then averaged across patients and controls. Significance was
determined by a two-tailed t-test. Next, an sSOZ analysis was performed on the
patient group. Z-scores for the 3 fiber types were calculated for each region of the
brain and two-tailed t-tests were performed to compare the sSOZ z-scores to
non-sSOZ z-scores. Results
Wholebrain analysis revealed significant reductions of U-fibers in epileptic
patients (t =4.95, p<0.001) and of inter-limbic fibers (t=4.77,
p<0.001). While long range fibers were increased in patients, this finding
was not significant (Figure 3). The sSOZ analysis confirmed that all 3 fiber
types were increased in sSOZ nodes compared to non-sSOZ nodes (Figure 4).
However, only the long-range fibers were higher in the sSOZ compared with the
corresponding nodes in healthy controls. Discussion
This is the first
study to compare wholebrain connectivity in MRI-negative focal epilepsy
patients with healthy controls. In non-lesional epilepsy patients, U-fibers
appear diminished throughout the entire brain. This is concordant with
previous work suggesting short range inhibitory U-fibers could suppress seizure
activity [1]. Inter-limbic fibers were also diminished throughout the
brain in epilepsy patients, concordant with other studies showing damaged
limbic axonal bundles in epilepsy patients [5]. The sSOZ analysis confirmed
that all 3 fiber types were increased in the sSOZ nodes compared with
non-implicated nodes. Interestingly, only SOZ long-range fibers are also
increased compared with healthy controls. Increased long-range and inter-limbic
connectivity of these nodes could contribute to seizure onset in the sSOZ and
facilitate seizure propagation to subsequent nodes. Increased U-fibers in the sSOZ
are somewhat contradictory to the initial hypothesis but they could reflect a
mechanism for compensatory seizure suppression in the sSOZ. Our findings may
have implications for diagnosing and treating patients with MRI-negative
epilepsy, especially those refractory to pharmacological intervention. Future
work will involve a subset analysis of patients with very localizable SOZs in
an attempt to quantify SOZ connectivity on a more granular scale.
Acknowledgements
NIH
R00 NS070821
NIH R01 MH109544
Icahn
School of Medicine Capital Campaign
Translational and Molecular Imaging
Institute
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