Back to Search Start Over

Neurovascular networks in epilepsy: Correlating ictal blood perfusion with intracranial electrophysiology

Authors :
Balu Krishnan
Simon Tousseyn
Chetan Sateesh Nayak
Thandar Aung
Ammar Kheder
Z. Irene Wang
Guiyun Wu
Jorge Gonzalez-Martinez
Dileep Nair
Richard Burgess
Leonidas Iasemidis
Imad Najm
Juan Bulacio
Andreas V. Alexopoulos
Source :
NeuroImage, Vol 231, Iss , Pp 117838- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Perfusion patterns observed in Subtraction Ictal SPECT Co-registered to MRI (SISCOM) assist in focus localization and surgical planning for patients with medically intractable focal epilepsy. While the localizing value of SISCOM has been widely investigated, its relationship to the underlying electrophysiology has not been extensively studied and is therefore not well understood. In the present study, we set to investigate this relationship in a cohort of 70 consecutive patients who underwent ictal and interictal SPECT studies and subsequent stereo-electroencephalography (SEEG) monitoring for localization of the epileptogenic focus and surgical intervention. Seizures recorded during SEEG evaluation (SEEG seizures) were matched to semiologically-similar seizures during the preoperative ictal SPECT evaluation (SPECT seizures) by comparing the semiological changes in the course of each seizure. The spectral changes of the ictal SEEG with respect to interictal ones over 7 traditional frequency bands (0.1 to 150Hz) were analyzed at each SEEG site. Neurovascular (SEEG/SPECT) relations were assessed by comparing the estimated spectral power density changes of the SEEG at each site with the perfusion changes (SISCOM z-scores) estimated from the acquired SISCOM map at that site. Across patients, a significant correlation (p

Details

Language :
English
ISSN :
10959572
Volume :
231
Issue :
117838-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.778e8228d4ebba6f32d4f9bcdf01c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2021.117838