TY - JOUR
T1 - Association between enlarged perivascular space (ePVS) density and stereo-electroencephalography (SEEG) biomarkers of epileptogenicity
AU - Bunyamin, Jacob
AU - Sinclair, Benjamin
AU - Wittayacharoenpong, Thanomporn
AU - Sagar, Parveen
AU - Pham, William
AU - Chen, Zhibin
AU - Bosak, Noam
AU - Laing, Joshua
AU - Gutman, Matthew
AU - Hunn, Martin
AU - Kwan, Patrick
AU - O'Brien, Terence J.
AU - Law, Meng
AU - Neal, Andrew
N1 - Publisher Copyright:
© 2025 The Author(s). Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.
PY - 2025/12
Y1 - 2025/12
N2 - Objective: We aim to explore the association between enlarged perivascular space (ePVS) density and stereo-electroencephalography (SEEG) biomarkers of epileptogenicity. Methods: We retrospectively analyzed consecutive SEEG patients from an Australian site. We automatically segmented ePVSs from 3T pre-SEEG T1-weighted magnetic resonance imaging (MRI) scans and calculated ePVS (1) hemispheric, (2) sub-lobar, and (3) contact-level density. We defined the epileptogenic zone (EZ) SEEG contacts as those identified as the primary EZ and then selected for radiofrequency thermocoagulation (RF-TC). We classified contacts generating the top 10% of interictal epileptogenicity biomarkers (spikes, fast ripples, and cross-rates of high-frequency oscillations [HFO]*spikes). We assessed the relationship at each level for the whole cohort and its subgroups: MRI-negative-only, different voxel sizes (.9 mm3/1.0 mm3), contact locations (mesial temporal/neocortical), and seizure-free patients. Results: From 53 RF-TC patients, ePVS density was not associated with the EZ at the hemispheric (p =.995), sub-lobar (p =.090), or contact (p =.999) level in the whole cohort. In the MRI-negative-only subgroup and 1.0 mm3 isotropic subgroup, ePVS density was inversely associated with EZ (odds ratio [OR].76, 95% confidence interval [CI]:.61–.93, p =.009 and OR.83, 95% CI:.69–.99, p =.036, respectively). There was no association between ePVSs and the interictal epileptogenic biomarkers at all levels in the whole cohort. At the subgroup level, mesial temporal ePVS density was inversely associated with the top 10% of fast ripples (OR.09, 95% CI:.04–.24, p <.001) and cross-rates of HFO*spikes (OR.22, 95%CI:.11–.44, p <.001), whereas in the neocortex, ePVSs were positively associated with fast ripples (OR 1.10, 95% CI: 1.01–1.18, p =.018), which may be driven by the interictal biomarker organization rather than epileptogenicity. Significance: ePVS density may not be a consistent biomarker of SEEG-defined epileptogenicity. The relationship between reduced ePVS and epileptogenicity in MRI-negative cases warrants further study, as this may shed light on underlying pathobiology and EZ biomarkers. Different imaging techniques may be able to capture the relationship between the glymphatic system disruption and epileptogenicity.
AB - Objective: We aim to explore the association between enlarged perivascular space (ePVS) density and stereo-electroencephalography (SEEG) biomarkers of epileptogenicity. Methods: We retrospectively analyzed consecutive SEEG patients from an Australian site. We automatically segmented ePVSs from 3T pre-SEEG T1-weighted magnetic resonance imaging (MRI) scans and calculated ePVS (1) hemispheric, (2) sub-lobar, and (3) contact-level density. We defined the epileptogenic zone (EZ) SEEG contacts as those identified as the primary EZ and then selected for radiofrequency thermocoagulation (RF-TC). We classified contacts generating the top 10% of interictal epileptogenicity biomarkers (spikes, fast ripples, and cross-rates of high-frequency oscillations [HFO]*spikes). We assessed the relationship at each level for the whole cohort and its subgroups: MRI-negative-only, different voxel sizes (.9 mm3/1.0 mm3), contact locations (mesial temporal/neocortical), and seizure-free patients. Results: From 53 RF-TC patients, ePVS density was not associated with the EZ at the hemispheric (p =.995), sub-lobar (p =.090), or contact (p =.999) level in the whole cohort. In the MRI-negative-only subgroup and 1.0 mm3 isotropic subgroup, ePVS density was inversely associated with EZ (odds ratio [OR].76, 95% confidence interval [CI]:.61–.93, p =.009 and OR.83, 95% CI:.69–.99, p =.036, respectively). There was no association between ePVSs and the interictal epileptogenic biomarkers at all levels in the whole cohort. At the subgroup level, mesial temporal ePVS density was inversely associated with the top 10% of fast ripples (OR.09, 95% CI:.04–.24, p <.001) and cross-rates of HFO*spikes (OR.22, 95%CI:.11–.44, p <.001), whereas in the neocortex, ePVSs were positively associated with fast ripples (OR 1.10, 95% CI: 1.01–1.18, p =.018), which may be driven by the interictal biomarker organization rather than epileptogenicity. Significance: ePVS density may not be a consistent biomarker of SEEG-defined epileptogenicity. The relationship between reduced ePVS and epileptogenicity in MRI-negative cases warrants further study, as this may shed light on underlying pathobiology and EZ biomarkers. Different imaging techniques may be able to capture the relationship between the glymphatic system disruption and epileptogenicity.
KW - epilepsy
KW - glymphatic system
KW - magnetic resonance imaging
KW - perivascular spaces
KW - stereo-electroencephalography
UR - https://www.scopus.com/pages/publications/105014162514
U2 - 10.1111/epi.18614
DO - 10.1111/epi.18614
M3 - Article
C2 - 40857090
AN - SCOPUS:105014162514
SN - 0013-9580
VL - 66
SP - 4922
EP - 4938
JO - Epilepsia
JF - Epilepsia
IS - 12
ER -