Literature DB >> 21316472

Accurate epileptogenic focus localization through time-variant functional connectivity analysis of intracranial electroencephalographic signals.

Pieter van Mierlo1, Evelien Carrette, Hans Hallez, Kristl Vonck, Dirk Van Roost, Paul Boon, Steven Staelens.   

Abstract

Epilepsy is a neurological disorder characterized by seizures, i.e. abnormal synchronous activity of neurons in the brain. During a focal seizure, the abnormal synchronous activity starts in a specific brain region and rapidly propagates to neighboring regions. Intracranial ElectroEncephaloGraphy (IEEG) is the recording of brain activity at a high temporal resolution through electrodes placed within different brain regions. Intracranial electrodes are used to access structures deep within the brain and to reveal brain activity that cannot be observed with scalp EEG recordings. In order to identify the pattern of propagation across brain areas, a connectivity measure named the Adapted Directed Transfer Function (ADTF) has been developed. This measure reveals connections between different regions by exploiting statistical dependencies within multichannel recordings. The ADTF can be derived from the coefficients of a time-variant multivariate autoregressive (TVAR) model fitted to the data. In this paper the applicability to locate the epileptogenic focus by time-variant connectivity analysis of seizure onsets based on the ADTF is shown. Furthermore, different normalizations of the ADTF (the integrated ADTF, the masked ADTF and the full frequency ADTF) are compared to investigate whether one is more suitable to describe the spreading of epileptic activity during an epileptic seizure. We quantified the performance of different connectivity measures during simulations of an epileptic seizure onset. The full frequency ADTF outperforms the integrated ADTF and masked ADTF. Accordingly, we applied this full frequency ADTF to 4 seizure onset and 29 subclinical seizure IEEG recordings of a patient with refractory epilepsy. Hereby, we showed that connectivity patterns derived from IEEG recordings can provide useful information about seizure propagation and may improve the accuracy of the pre-surgical evaluation in patients with refractory epilepsy.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21316472     DOI: 10.1016/j.neuroimage.2011.02.009

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  22 in total

1.  Seizure detection using the phase-slope index and multichannel ECoG.

Authors:  Puneet Rana; John Lipor; Hyong Lee; Wim van Drongelen; Michael H Kohrman; Barry Van Veen
Journal:  IEEE Trans Biomed Eng       Date:  2012-01-18       Impact factor: 4.538

2.  The seizure onset zone drives state-dependent epileptiform activity in susceptible brain regions.

Authors:  Joshua M Diamond; Julio I Chapeton; William H Theodore; Sara K Inati; Kareem A Zaghloul
Journal:  Clin Neurophysiol       Date:  2019-07-02       Impact factor: 3.708

Review 3.  Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy.

Authors:  Bruce P Hermann; Aaron F Struck; Robyn M Busch; Anny Reyes; Erik Kaestner; Carrie R McDonald
Journal:  Nat Rev Neurol       Date:  2021-09-22       Impact factor: 44.711

4.  Connectomics and epilepsy.

Authors:  Jerome Engel; Paul M Thompson; John M Stern; Richard J Staba; Anatol Bragin; Istvan Mody
Journal:  Curr Opin Neurol       Date:  2013-04       Impact factor: 5.710

5.  Ictal propagation of high frequency activity is recapitulated in interictal recordings: effective connectivity of epileptogenic networks recorded with intracranial EEG.

Authors:  A Korzeniewska; M C Cervenka; C C Jouny; J R Perilla; J Harezlak; G K Bergey; P J Franaszczuk; N E Crone
Journal:  Neuroimage       Date:  2014-07-06       Impact factor: 6.556

6.  Transient seizure onset network for localization of epileptogenic zone: effective connectivity and graph theory-based analyses of ECoG data in temporal lobe epilepsy.

Authors:  Ye Ren; Fengyu Cong; Tapani Ristaniemi; Yuping Wang; Xiaoli Li; Ruihua Zhang
Journal:  J Neurol       Date:  2019-01-25       Impact factor: 4.849

Review 7.  EEG source imaging in epilepsy--practicalities and pitfalls.

Authors:  Kitti Kaiboriboon; Hans O Lüders; Mehdi Hamaneh; John Turnbull; Samden D Lhatoo
Journal:  Nat Rev Neurol       Date:  2012-08-07       Impact factor: 42.937

8.  Display of consistent ictal networks in refractory mesial temporal lobe epilepsy.

Authors:  G U Martz; S E Johnson; X Liu; B J Wolf; J L Hudson; M Quigg
Journal:  Clin Neurophysiol       Date:  2013-04-29       Impact factor: 3.708

9.  Dynamic Network Connectivity Analysis to Identify Epileptogenic Zones Based on Stereo-Electroencephalography.

Authors:  Jun-Wei Mao; Xiao-Lai Ye; Yong-Hua Li; Pei-Ji Liang; Ji-Wen Xu; Pu-Ming Zhang
Journal:  Front Comput Neurosci       Date:  2016-10-27       Impact factor: 2.380

10.  Regional and global resting-state functional MR connectivity in temporal lobe epilepsy: Results from the Epilepsy Connectome Project.

Authors:  Aaron F Struck; Melanie Boly; Gyujoon Hwang; Veena Nair; Jedidiah Mathis; Andrew Nencka; Lisa L Conant; Edgar A DeYoe; Manoj Raghavan; Vivek Prabhakaran; Jeffrey R Binder; Mary E Meyerand; Bruce P Hermann
Journal:  Epilepsy Behav       Date:  2021-02-18       Impact factor: 2.937

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