Literature DB >> 10468507

EEG-triggered functional MRI of interictal epileptiform activity in patients with partial seizures.

K Krakow1, F G Woermann, M R Symms, P J Allen, L Lemieux, G J Barker, J S Duncan, D R Fish.   

Abstract

EEG-triggered functional MRI (fMRI) offers the potential to localize the generators of scalp EEG events, such as interictal epileptiform discharges, using a biological measurement as opposed to relying solely on modelling techniques. Although recent studies have demonstrated these possibilities in a small number of patients, wider application has been limited by concerns about patient safety, severe problems due to pulse-related artefact obscuring the EEG trace, and lack of reproducibility data. We have systematically studied and resolved the issues of patient safety and pulse artefact and now report the application of the technique in 24 experiments in 10 consecutive patients with localization-related epilepsy and frequent interictal epileptiform discharges (spikes or spike wave). At least two experiments were performed for each patient. In each experiment, 10- or 20-slice snapshot gradient-echo planar images were acquired approximately 3.5 s after a single typical epileptiform discharge (activation image) and in the absence of discharges (control image). Between 21 and 50 epileptiform discharges were sampled in each experiment. The significance of functional activation was tested using the t test at 95% confidence on a pixel-by-pixel basis. Six of the 10 patients showed reproducible focal changes of the blood oxygen level-dependent (BOLD) signal, which occurred in close spatial relationship to the maximum of the epileptiform discharges in the concurrent EEG. No reproducible focal BOLD signal changes were observed in the remaining four patients. In conclusion, EEG-triggered fMRI is now a sufficiently developed technique to be more widely used in clinical studies, demonstrating that it can reproducibly localize the brain areas involved in the generation of spikes and spike wave in epilepsy patients with frequent interictal discharges.

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Year:  1999        PMID: 10468507     DOI: 10.1093/brain/122.9.1679

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  47 in total

1.  EEG recording during fMRI experiments: image quality.

Authors:  K Krakow; P J Allen; M R Symms; L Lemieux; O Josephs; D R Fish
Journal:  Hum Brain Mapp       Date:  2000-05       Impact factor: 5.038

Review 2.  The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal.

Authors:  Nikos K Logothetis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

Review 3.  High-frequency oscillations and other electrophysiological biomarkers of epilepsy: clinical studies.

Authors:  Greg Worrell; Jean Gotman
Journal:  Biomark Med       Date:  2011-10       Impact factor: 2.851

4.  A wavelet-based statistical analysis of FMRI data: I. motivation and data distribution modeling.

Authors:  Ivo D Dinov; John W Boscardin; Michael S Mega; Elizabeth L Sowell; Arthur W Toga
Journal:  Neuroinformatics       Date:  2005

5.  Visual evoked potentials may be recorded simultaneously with fMRI scanning: A validation study.

Authors:  Eleonora Comi; Pietro Annovazzi; Ana Martins Silva; Marco Cursi; Valeria Blasi; Marcello Cadioli; Alberto Inuggi; Andrea Falini; Giancarlo Comi; Letizia Leocani
Journal:  Hum Brain Mapp       Date:  2005-04       Impact factor: 5.038

6.  Noninvasive imaging technique demonstrates source of interictal epileptiform discharges.

Authors:  Gregory D Cascino
Journal:  Epilepsy Curr       Date:  2004 Jul-Aug       Impact factor: 7.500

7.  Functional imaging demonstrates source of epileptiform discharges in generalized epilepsy.

Authors:  Gregory D Cascino
Journal:  Epilepsy Curr       Date:  2004 Nov-Dec       Impact factor: 7.500

8.  Independent component analysis as a model-free approach for the detection of BOLD changes related to epileptic spikes: a simulation study.

Authors:  Pierre LeVan; Jean Gotman
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

9.  Networks underlying paroxysmal fast activity and slow spike and wave in Lennox-Gastaut syndrome.

Authors:  Neelan Pillay; John S Archer; Radwa A B Badawy; Danny F Flanagan; Samuel F Berkovic; Graeme Jackson
Journal:  Neurology       Date:  2013-07-17       Impact factor: 9.910

10.  Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression.

Authors:  Pavitra Krishnaswamy; Giorgio Bonmassar; Catherine Poulsen; Eric T Pierce; Patrick L Purdon; Emery N Brown
Journal:  Neuroimage       Date:  2015-07-05       Impact factor: 6.556

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