Abstract

Accurate localization of the Seizure Onset Zone (SOZ) is crucial in patients with drug-resistance focal epilepsy. EEG with fMRI recording (EEG-fMRI) has been proposed as a complementary non-invasive tool, which can give useful additional information in the pre-surgical work-up. However, fMRI maps related to interictal epileptiform activities (IED) often show multiple regions of signal change, or “networks,” rather than highly focal ones. Effective connectivity approaches like Dynamic Causal Modeling (DCM) applied to fMRI data potentially offers a framework to address which brain regions drives the generation of seizures and IED within an epileptic network. Here, we present a first attempt to validate DCM on EEG-fMRI data in one patient affected by frontal lobe epilepsy. Pre-surgical EEG-fMRI demonstrated two distinct clusters of blood oxygenation level dependent (BOLD) signal increases linked to IED, one located in the left frontal pole and the other in the ipsilateral dorso-lateral frontal cortex. DCM of the IED-related BOLD signal favored a model corresponding to the left dorso-lateral frontal cortex as driver of changes in the fronto-polar region. The validity of DCM was supported by: (a) the results of two different non-invasive analysis obtained on the same dataset: EEG source imaging (ESI), and “psycho-physiological interaction” analysis; (b) the failure of a first surgical intervention limited to the fronto-polar region; (c) the results of the intracranial EEG monitoring performed after the first surgical intervention confirming a SOZ located over the dorso-lateral frontal cortex. These results add evidence that EEG-fMRI together with advanced methods of BOLD signal analysis is a promising tool that can give relevant information within the epilepsy surgery diagnostic work-up.

Highlights

  • The objective of this clinical study was to investigate the causal relationships, by means of dynamic causal modeling (DCM) on fMRI data, between brain areas showing interictal epileptic discharges (IED)-related blood oxygenation level dependent (BOLD) changes in a patient with drug-resistant epilepsy prior to surgery in comparison to the results of intracranial EEG recording and in light of post-surgical outcome

  • We aim to show the applicability of the DCM method on fMRI data for the identification of the seizure onset zone (SOZ) and the epileptic propagation networks

  • DYNAMIC CAUSAL MODELING ANALYSIS Given the complexity of this case, we reviewed retrospectively the pre-surgical EEG-fMRI analysis and we decided to apply DCM to assess the effective connectivity between the two frontal clusters revealed by the pre-surgical fMRI study

Read more

Summary

Introduction

The objective of this clinical study was to investigate the causal relationships, by means of dynamic causal modeling (DCM) on fMRI data, between brain areas showing IED-related blood oxygenation level dependent (BOLD) changes in a patient with drug-resistant epilepsy prior to surgery in comparison to the results of intracranial EEG recording (icEEG) and in light of post-surgical outcome. Recent work has demonstrated a significant contribution of the interictal epileptic discharges (IED)-related BOLD changes in localizing the brain regions that give raise to IEDs [9], and in post-surgical populations it was shown that when the resection included the IED-related BOLD clusters, patients showed good outcome [10]. This evidence further supports the importance of a correct definition of IED generators in order to improve surgery outcome. There is great interest in better identifying the nodes of such networks and the inter-relationships between nodal activities

Objectives
Methods
Findings
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call