Literature DB >> 20026222

Modulation by EEG features of BOLD responses to interictal epileptiform discharges.

Pierre LeVan1, Louise Tyvaert, Jean Gotman.   

Abstract

INTRODUCTION: EEG-fMRI of interictal epileptiform discharges (IEDs) usually assumes a fixed hemodynamic response function (HRF). This study investigates HRF variability with respect to IED amplitude fluctuations using independent component analysis (ICA), with the goal of improving the specificity of EEG-fMRI analyses.
METHODS: We selected EEG-fMRI data from 10 focal epilepsy patients with a good quality EEG. IED amplitudes were calculated in an average reference montage. The fMRI data were decomposed by ICA and a deconvolution method identified IED-related components by detecting time courses with a significant HRF time-locked to the IEDs (F-test, p<0.05). Individual HRF amplitudes were then calculated for each IED. Components with a significant HRF/IED amplitude correlation (Spearman test, p<0.05) were compared to the presumed epileptogenic focus and to results of a general linear model (GLM) analysis.
RESULTS: In 7 patients, at least one IED-related component was concordant with the focus, but many IED-related components were at distant locations. When considering only components with a significant HRF/IED amplitude correlation, distant components could be discarded, significantly increasing the relative proportion of activated voxels in the focus (p=0.02). In the 3 patients without concordant IED-related components, no HRF/IED amplitude correlations were detected inside the brain. Integrating IED-related amplitudes in the GLM significantly improved fMRI signal modeling in the epileptogenic focus in 4 patients (p<0.05).
CONCLUSION: Activations in the epileptogenic focus appear to show significant correlations between HRF and IED amplitudes, unlike distant responses. These correlations could be integrated in the analysis to increase the specificity of EEG-fMRI studies in epilepsy. Copyright (c) 2009 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 20026222      PMCID: PMC3774651          DOI: 10.1016/j.neuroimage.2009.12.044

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


  57 in total

1.  Stochastic designs in event-related fMRI.

Authors:  K J Friston; E Zarahn; O Josephs; R N Henson; A M Dale
Journal:  Neuroimage       Date:  1999-11       Impact factor: 6.556

2.  Generalized epileptic discharges show thalamocortical activation and suspension of the default state of the brain.

Authors:  J Gotman; C Grova; A Bagshaw; E Kobayashi; Y Aghakhani; F Dubeau
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-10       Impact factor: 11.205

3.  Using voxel-specific hemodynamic response function in EEG-fMRI data analysis.

Authors:  Yingli Lu; Andrew P Bagshaw; Christophe Grova; Eliane Kobayashi; François Dubeau; Jean Gotman
Journal:  Neuroimage       Date:  2006-06-13       Impact factor: 6.556

4.  CORSICA: correction of structured noise in fMRI by automatic identification of ICA components.

Authors:  Vincent Perlbarg; Pierre Bellec; Jean-Luc Anton; Mélanie Pélégrini-Issac; Julien Doyon; Habib Benali
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

5.  Effects of fluctuating physiological rhythms during prolonged EEG-fMRI studies.

Authors:  Louise Tyvaert; Pierre Levan; Christophe Grova; François Dubeau; Jean Gotman
Journal:  Clin Neurophysiol       Date:  2008-11-01       Impact factor: 3.708

6.  EEG-fMRI of epileptic spikes: concordance with EEG source localization and intracranial EEG.

Authors:  Christian-G Bénar; Christophe Grova; Eliane Kobayashi; Andrew P Bagshaw; Yahya Aghakhani; François Dubeau; Jean Gotman
Journal:  Neuroimage       Date:  2006-01-18       Impact factor: 6.556

7.  Analysis of fMRI data by blind separation into independent spatial components.

Authors:  M J McKeown; S Makeig; G G Brown; T P Jung; S S Kindermann; A J Bell; T J Sejnowski
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

8.  The variability of human, BOLD hemodynamic responses.

Authors:  G K Aguirre; E Zarahn; M D'esposito
Journal:  Neuroimage       Date:  1998-11       Impact factor: 6.556

9.  Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments.

Authors:  C Büchel; A P Holmes; G Rees; K J Friston
Journal:  Neuroimage       Date:  1998-08       Impact factor: 6.556

10.  Changes in activity of striato-thalamo-cortical network precede generalized spike wave discharges.

Authors:  Friederike Moeller; Hartwig R Siebner; Stephan Wolff; Hiltrud Muhle; Rainer Boor; Oliver Granert; Olav Jansen; Ulrich Stephani; Michael Siniatchkin
Journal:  Neuroimage       Date:  2007-11-17       Impact factor: 6.556

View more
  14 in total

1.  Localizing seizure-onset zones in presurgical evaluation of drug-resistant epilepsy by electroencephalography/fMRI: effectiveness of alternative thresholding strategies.

Authors:  M Hauf; K Jann; K Schindler; O Scheidegger; K Meyer; C Rummel; L Mariani; T Koenig; R Wiest
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-26       Impact factor: 3.825

2.  Lateralization and localization of epilepsy related hemodynamic foci using presurgical fMRI.

Authors:  Clara Huishi Zhang; Yunfeng Lu; Benjamin Brinkmann; Kirk Welker; Gregory Worrell; Bin He
Journal:  Clin Neurophysiol       Date:  2014-04-30       Impact factor: 3.708

3.  Tissue hypoxia correlates with intensity of interictal spikes.

Authors:  Andrew S Geneslaw; Mingrui Zhao; Hongtao Ma; Theodore H Schwartz
Journal:  J Cereb Blood Flow Metab       Date:  2011-02-23       Impact factor: 6.200

4.  Patient specific hemodynamic response functions associated with interictal discharges recorded via simultaneous intracranial EEG-fMRI.

Authors:  Craig A Beers; Rebecca J Williams; Ismael Gaxiola-Valdez; Daniel J Pittman; Anita T Kang; Yahya Aghakhani; G Bruce Pike; Bradley G Goodyear; Paolo Federico
Journal:  Hum Brain Mapp       Date:  2015-09-29       Impact factor: 5.038

Review 5.  Mapping hemodynamic correlates of seizures using fMRI: A review.

Authors:  Umair J Chaudhary; John S Duncan; Louis Lemieux
Journal:  Hum Brain Mapp       Date:  2011-11-14       Impact factor: 5.038

Review 6.  Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data.

Authors:  Seyyed Mostafa Sadjadi; Elias Ebrahimzadeh; Mohammad Shams; Masoud Seraji; Hamid Soltanian-Zadeh
Journal:  Front Neurol       Date:  2021-04-27       Impact factor: 4.003

7.  Dynamic Causal Modelling of epileptic seizure propagation pathways: a combined EEG-fMRI study.

Authors:  Teresa Murta; Alberto Leal; Marta I Garrido; Patrícia Figueiredo
Journal:  Neuroimage       Date:  2012-05-24       Impact factor: 6.556

Review 8.  The role of functional neuroimaging in pre-surgical epilepsy evaluation.

Authors:  Francesca Pittau; Frédéric Grouiller; Laurent Spinelli; Margitta Seeck; Christoph M Michel; Serge Vulliemoz
Journal:  Front Neurol       Date:  2014-03-24       Impact factor: 4.003

9.  A study of the electro-haemodynamic coupling using simultaneously acquired intracranial EEG and fMRI data in humans.

Authors:  T Murta; L Hu; T M Tierney; U J Chaudhary; M C Walker; D W Carmichael; P Figueiredo; L Lemieux
Journal:  Neuroimage       Date:  2016-08-03       Impact factor: 6.556

10.  Thalamocortical relationship in epileptic patients with generalized spike and wave discharges--A multimodal neuroimaging study.

Authors:  Clara Huishi Zhang; Zhiyi Sha; John Mundahl; Sa Liu; Yunfeng Lu; Thomas R Henry; Bin He
Journal:  Neuroimage Clin       Date:  2015-08-04       Impact factor: 4.881

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.