Pre- and post-ictal brain activity characterization using combined source decomposition and connectivity estimation in epileptic children

Riccardo Pernice, Luca Faes, Anton Popov, Riccardo Pernice, Volodymyr Kharytonov, Ivan Kotiuchyi, Ivan Seleznov, Anton Popov, Ivan Kotiuchyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this research, the study of functional connectivity between sources of electroencephalogram (EEG) activity assessed for different classes (well before seizure, preictal and post-ictal) was performed. EEG recordings were acquired from 12 subjects with focal epilepsy. Then, ten common spatial patterns (CSP) were obtained for EEG segments describing 95% of Riemannian distance between pairs of classes, followed by estimation of multivariate autoregressive (MVAR) models’ coefficients. The MVAR models were further used to extract coherence as a functional connectivity measures. Our results show that the coherence between CSP sources differs between baseline and pre-ictal segments: it has the larger values in low and high frequency ranges during pre-ictal segment. This might correspond to increased coupling of slow and fast oscillations just before the seizure onset which poses a defining attribute of epileptiform activity. Our results indicate that a reorganization of EEG source activations occurs before the onset of focal seizures, which is promising for seizure prediction algorithms.
Original languageEnglish
Title of host publication2019 Signal Processing Symposium (SPSympo)
Pages126-129
Number of pages4
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Instrumentation

Fingerprint

Dive into the research topics of 'Pre- and post-ictal brain activity characterization using combined source decomposition and connectivity estimation in epileptic children'. Together they form a unique fingerprint.

Cite this