Rebecca Emily Feldman1, Jack Rutland2, Bradley Neil Delman3, Jiyeoun Yoo4, Madeline Cara Fields4, Lara Vanessa Marcuse4, and Priti Balchandani1
1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Wake Forest University, Winston-Salem, NC, United States, 3Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Neurology, Mount Sinai Hospital, New York, NY, United States
Synopsis
Epilepsy
is a chronic condition, affecting approximately 150,000 people in the United States. 7T
MRI facilitates the visualization of the brain with unprecedented resolution and
contrast. Perivascular spaces (PVS) have been reported in previous work but
with uncertain significance. However, due to the increased resolution enabled at
7T, PVSs are detected with increasing frequency, both in healthy volunteers and
in epilepsy patients. We investigated the symmetry in the distribution of PVSs
in the brains of non-lesional epilepsy patients. Introduction
Epilepsy affects approximately 150,000 people in the U.S. (Epilepsy Foundation).
15%-30% of epilepsy patients are refractory or incompletely responsive to
pharmacotherapy [1,2]. Ultrahigh field MRI scanners, such as those operating at
7 Tesla (7T), facilitate the visualization of the brain with unprecedented resolution
and contrast. This has enabled the identification and characterization of
lesions not detectable at lower field strengths. Epilepsy-related brain
activity may affect the size and structure of these atypical findings, which
suggests that even MRI findings that are not directly related to the
epileptogenic focus may be non-invasive biomarkers which can help localize the seizure onset zone (SOZ) or elucidate the etiology of the disease.
Perivascular spaces (PVS) are cerebrospinal fluid-filled spaces surrounding the
vasculature in the white matter. These spaces have been reported in previous
work but with uncertain significance [3,4]. Due to the increased
resolution enabled at 7T, PVSs are detected with increasing frequency, both in
healthy volunteers and in epilepsy patients. We investigated the symmetry in the distribution of PVSs in the
brains of non-lesional epilepsy patients as compared to healthy controls.
Additionally, we compared the laterality of the asymmetrical PVS clusters to
that of the SOZ in patients where the SOZ was suspected to be unilateral.
Methods
We
measured PVSs in 7T images obtained on 10 epilepsy patients (age: 32.4± 6.4 years) with a previously normal clinical
MRI exam and 10 normal healthy subjects (age:
34.7±6.1 years).
Axial T2 TSE images (TR 6000 ms, TE 69 ms, voxel 0.4x0.4x2.0mm3)
were obtained using a Siemens 7T whole body MRI scanner (Siemens, Erlangen) on
all patients and controls (Figure 1). Although all abnormalities detected
at 7T were recorded, we are focusing on the detected PVSs for this study. Perivascular
spaces were noted and measured manually on Osirix
(Pixmeo, Geneva) and the location of prominent PVSs of diameter (d) > 0.5 mm
were manually marked and recorded. 16 common anatomical landmarks were
identified in each brain and used to divide both the right and left hemisphere
of the brain into 7 regions (Figure 2). The asymmetry index (AI), weighted by
the area of perivascular spaces in the right and left of each region, was
calculated using Eq. 1.
$$$AI= \frac{|S_r-S_l|}{\frac{1}{2}(S_r+S_l)}(1)$$$
where Sl and Sr
are the sum of the perivascular space area on the left and right hemisphere of
each region (respectively) calculated using Eq 2.
$$$S_j = \sum\limits_{i=1}^{N_{region}} d_i^2(2)$$$
Nregion is total
number of PVSs in each region and
di is the diameter of each
individual PVS.
AImax, the largest AI between each of the 7 right-left
pairs of regions, was calculated for each subject. A Student’s t-test was
performed to compare the
AImax in epilepsy subjects to healthy
controls. 9 out of the 10 epilepsy patients with a suspected unilateral SOZ (as determined by semiology and EEG) for further analysis were selected for further analysis. Finally, the hemisphere with the larger area of total PVSs for the brain
region with greatest asymmetry was compared to the hemisphere of the suspected
SOZ in the epilepsy subjects.
Results/Discussion
Prominent perivascular spaces appeared
frequently in both epilepsy patients (n = 677-3884) and healthy controls (n =
832 - 3310) with no significant difference in the total number of spaces
between the population groups. However, there was a significant difference (p =
0.012) between the AImax in epilepsy patients (mean AImax
± stderr = 1.0±0.15), and the AImax
in controls (mean AImax ± stderr
= 0.67±0.10). Figure 3 indicates that the AI was elevated with respect to
healthy controls in at least 1 of the 7 regions analyzed. Table 1 compares the hemisphere
in which the largest total area of PVSs exist in the region containing AImax
to the hemisphere of the suspected SOZ, as determined by EEG and semiology. In
7 out of these 9 subjects there was a prominence of PVSs contralateral to the
suspected SOZ with a high AImax (mean AImax = 1.07 ±
0.44). In 2 out of 9 subjects, the most prominent PVSs were ipsilateral to the
suspected SOZ. In these two cases AImax was low (AImax =
0.48 and 0.54), similar to the AImax values seen in controls.
These findings suggest that
epilepsy may result in an asymmetrical distribution of PVS in the brains of
patients, with more or larger PVSs clustered contralateral to the hemisphere of
the suspected SOZ. Future work includes performing this analysis
in a larger group of patients and controls and using automated methods of
detection for PVSs.
Acknowledgements
NIH-NINDS R00 NS070821, Icahn School of Medicine
Capital Campaign, Translational and Molecular Imaging Institute and Department
of Radiology, Siemens HealthcareReferences
[1] Kwan P, et al (2000) N Engl J Med 342(5):314-9 [2]
Mattson R (1992) Epilepsy Res Suppl 5:29-35 [3] Song C, et al (2000) Radiology
214:671-677 [4] Cumurciuc R, et al (2006) Euro J of Neuro 13:187-190.