Effective brain connectivity from intracranial EEG recordings: Identification of epileptogenic zone in human focal epilepsies

Giulia Varotto, Laura Tassi, Fabio Rotondi, Roberto Spreafico, Silvana Franceschetti, Ferruccio Panzica

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the context of focal and drug-resistant epilepsy, surgical resection of the epileptogenic zone (EZ) may be the only therapeutic option for reducing or suppressing seizures. The aim of epilepsy surgery is the exeresis of the EZ, which is assumed to be the cortical region responsible for the onset, early organization, and propagation of seizures. EZ represents the minimum amount of cortex that must be resected in order to achieve seizure freedom; therefore, the correct identification of its extent and organization is a crucial objective. Nevertheless, the rather high rate of failure in epilepsy surgery in extra-temporal epilepsies highlights that the precise identification of the EZ is still an unsolved problem and that more sophisticated methods of investigation are required. In many patients, intracranial stereo-EEG recordings still represent the gold standard for the epilepsy surgery work-up, and, over the last 10 years, considerable efforts have been made to develop advanced signal analysis techniques able to improve the identification of the EZ. Since it is widely assumed that epileptic phenomena are associated with abnormal changes in brain synchronization mechanisms, particular attention has been paid to those methods aimed at quantifying and characterizing the interactions and causal relationships of neuronal populations, and initial evidence has shown that this can be a suitable approach to localizing the EZ. The aim of this review is to provide an overview of the different intracranial EEG signal processing methods used to identify the EZ, with particular attention being given to the methods aimed at characterizing effective brain connectivity using intracranial EEG recordings. Then, we briefly present our studies of the connectivity pattern associated with a particular form of focal epilepsy (type II focal cortical dysplasia), based on multivariate autoregressive parametric models and measures derived from graph theory.

Original languageEnglish
Title of host publicationModern Electroencephalographic Assessment Techniques: Theory and Applications
PublisherSpringer Fachmedien
Pages87-101
Number of pages15
ISBN (Print)9781493912988, 9781493912971
DOIs
Publication statusPublished - Nov 28 2014

Fingerprint

Partial Epilepsy
Epilepsy
Seizures
Brain
Organizations
Electrocorticography
Population
Therapeutics

Keywords

  • Causality
  • Effective connectivity
  • EZ localization
  • Focal epilepsy
  • Intracranial EEG
  • Surgery

ASJC Scopus subject areas

  • Medicine(all)
  • Neuroscience(all)

Cite this

Varotto, G., Tassi, L., Rotondi, F., Spreafico, R., Franceschetti, S., & Panzica, F. (2014). Effective brain connectivity from intracranial EEG recordings: Identification of epileptogenic zone in human focal epilepsies. In Modern Electroencephalographic Assessment Techniques: Theory and Applications (pp. 87-101). Springer Fachmedien. https://doi.org/10.1007/7657_2013_61

Effective brain connectivity from intracranial EEG recordings : Identification of epileptogenic zone in human focal epilepsies. / Varotto, Giulia; Tassi, Laura; Rotondi, Fabio; Spreafico, Roberto; Franceschetti, Silvana; Panzica, Ferruccio.

Modern Electroencephalographic Assessment Techniques: Theory and Applications. Springer Fachmedien, 2014. p. 87-101.

Research output: Chapter in Book/Report/Conference proceedingChapter

Varotto, G, Tassi, L, Rotondi, F, Spreafico, R, Franceschetti, S & Panzica, F 2014, Effective brain connectivity from intracranial EEG recordings: Identification of epileptogenic zone in human focal epilepsies. in Modern Electroencephalographic Assessment Techniques: Theory and Applications. Springer Fachmedien, pp. 87-101. https://doi.org/10.1007/7657_2013_61
Varotto G, Tassi L, Rotondi F, Spreafico R, Franceschetti S, Panzica F. Effective brain connectivity from intracranial EEG recordings: Identification of epileptogenic zone in human focal epilepsies. In Modern Electroencephalographic Assessment Techniques: Theory and Applications. Springer Fachmedien. 2014. p. 87-101 https://doi.org/10.1007/7657_2013_61
Varotto, Giulia ; Tassi, Laura ; Rotondi, Fabio ; Spreafico, Roberto ; Franceschetti, Silvana ; Panzica, Ferruccio. / Effective brain connectivity from intracranial EEG recordings : Identification of epileptogenic zone in human focal epilepsies. Modern Electroencephalographic Assessment Techniques: Theory and Applications. Springer Fachmedien, 2014. pp. 87-101
@inbook{a02df87cf8584a50ae7bf4391aa3a863,
title = "Effective brain connectivity from intracranial EEG recordings: Identification of epileptogenic zone in human focal epilepsies",
abstract = "In the context of focal and drug-resistant epilepsy, surgical resection of the epileptogenic zone (EZ) may be the only therapeutic option for reducing or suppressing seizures. The aim of epilepsy surgery is the exeresis of the EZ, which is assumed to be the cortical region responsible for the onset, early organization, and propagation of seizures. EZ represents the minimum amount of cortex that must be resected in order to achieve seizure freedom; therefore, the correct identification of its extent and organization is a crucial objective. Nevertheless, the rather high rate of failure in epilepsy surgery in extra-temporal epilepsies highlights that the precise identification of the EZ is still an unsolved problem and that more sophisticated methods of investigation are required. In many patients, intracranial stereo-EEG recordings still represent the gold standard for the epilepsy surgery work-up, and, over the last 10 years, considerable efforts have been made to develop advanced signal analysis techniques able to improve the identification of the EZ. Since it is widely assumed that epileptic phenomena are associated with abnormal changes in brain synchronization mechanisms, particular attention has been paid to those methods aimed at quantifying and characterizing the interactions and causal relationships of neuronal populations, and initial evidence has shown that this can be a suitable approach to localizing the EZ. The aim of this review is to provide an overview of the different intracranial EEG signal processing methods used to identify the EZ, with particular attention being given to the methods aimed at characterizing effective brain connectivity using intracranial EEG recordings. Then, we briefly present our studies of the connectivity pattern associated with a particular form of focal epilepsy (type II focal cortical dysplasia), based on multivariate autoregressive parametric models and measures derived from graph theory.",
keywords = "Causality, Effective connectivity, EZ localization, Focal epilepsy, Intracranial EEG, Surgery",
author = "Giulia Varotto and Laura Tassi and Fabio Rotondi and Roberto Spreafico and Silvana Franceschetti and Ferruccio Panzica",
year = "2014",
month = "11",
day = "28",
doi = "10.1007/7657_2013_61",
language = "English",
isbn = "9781493912988",
pages = "87--101",
booktitle = "Modern Electroencephalographic Assessment Techniques: Theory and Applications",
publisher = "Springer Fachmedien",

}

TY - CHAP

T1 - Effective brain connectivity from intracranial EEG recordings

T2 - Identification of epileptogenic zone in human focal epilepsies

AU - Varotto, Giulia

AU - Tassi, Laura

AU - Rotondi, Fabio

AU - Spreafico, Roberto

AU - Franceschetti, Silvana

AU - Panzica, Ferruccio

PY - 2014/11/28

Y1 - 2014/11/28

N2 - In the context of focal and drug-resistant epilepsy, surgical resection of the epileptogenic zone (EZ) may be the only therapeutic option for reducing or suppressing seizures. The aim of epilepsy surgery is the exeresis of the EZ, which is assumed to be the cortical region responsible for the onset, early organization, and propagation of seizures. EZ represents the minimum amount of cortex that must be resected in order to achieve seizure freedom; therefore, the correct identification of its extent and organization is a crucial objective. Nevertheless, the rather high rate of failure in epilepsy surgery in extra-temporal epilepsies highlights that the precise identification of the EZ is still an unsolved problem and that more sophisticated methods of investigation are required. In many patients, intracranial stereo-EEG recordings still represent the gold standard for the epilepsy surgery work-up, and, over the last 10 years, considerable efforts have been made to develop advanced signal analysis techniques able to improve the identification of the EZ. Since it is widely assumed that epileptic phenomena are associated with abnormal changes in brain synchronization mechanisms, particular attention has been paid to those methods aimed at quantifying and characterizing the interactions and causal relationships of neuronal populations, and initial evidence has shown that this can be a suitable approach to localizing the EZ. The aim of this review is to provide an overview of the different intracranial EEG signal processing methods used to identify the EZ, with particular attention being given to the methods aimed at characterizing effective brain connectivity using intracranial EEG recordings. Then, we briefly present our studies of the connectivity pattern associated with a particular form of focal epilepsy (type II focal cortical dysplasia), based on multivariate autoregressive parametric models and measures derived from graph theory.

AB - In the context of focal and drug-resistant epilepsy, surgical resection of the epileptogenic zone (EZ) may be the only therapeutic option for reducing or suppressing seizures. The aim of epilepsy surgery is the exeresis of the EZ, which is assumed to be the cortical region responsible for the onset, early organization, and propagation of seizures. EZ represents the minimum amount of cortex that must be resected in order to achieve seizure freedom; therefore, the correct identification of its extent and organization is a crucial objective. Nevertheless, the rather high rate of failure in epilepsy surgery in extra-temporal epilepsies highlights that the precise identification of the EZ is still an unsolved problem and that more sophisticated methods of investigation are required. In many patients, intracranial stereo-EEG recordings still represent the gold standard for the epilepsy surgery work-up, and, over the last 10 years, considerable efforts have been made to develop advanced signal analysis techniques able to improve the identification of the EZ. Since it is widely assumed that epileptic phenomena are associated with abnormal changes in brain synchronization mechanisms, particular attention has been paid to those methods aimed at quantifying and characterizing the interactions and causal relationships of neuronal populations, and initial evidence has shown that this can be a suitable approach to localizing the EZ. The aim of this review is to provide an overview of the different intracranial EEG signal processing methods used to identify the EZ, with particular attention being given to the methods aimed at characterizing effective brain connectivity using intracranial EEG recordings. Then, we briefly present our studies of the connectivity pattern associated with a particular form of focal epilepsy (type II focal cortical dysplasia), based on multivariate autoregressive parametric models and measures derived from graph theory.

KW - Causality

KW - Effective connectivity

KW - EZ localization

KW - Focal epilepsy

KW - Intracranial EEG

KW - Surgery

UR - http://www.scopus.com/inward/record.url?scp=84958667011&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958667011&partnerID=8YFLogxK

U2 - 10.1007/7657_2013_61

DO - 10.1007/7657_2013_61

M3 - Chapter

AN - SCOPUS:84958667011

SN - 9781493912988

SN - 9781493912971

SP - 87

EP - 101

BT - Modern Electroencephalographic Assessment Techniques: Theory and Applications

PB - Springer Fachmedien

ER -