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Are epilepsy-relalated fMRI components dependent on the presence of interictal epileptic discharges in scalp EEG?

(2015) BRAIN TOPOGRAPHY. 28(4). p.606-618
Author
Organization
Abstract
Spatial independent component analysis (ICA) is increasingly being used to extract resting-state networks from fMRI data. Previous studies showed that ICA also reveals independent components (ICs) related to the seizure onset zone. However, it is currently unknown how these epileptic ICs depend on the presence of interictal epileptic discharges (IEDs) in the EEG. The goal of this study was to explore the relation between ICs obtained from fMRI epochs during the occurrence of IEDs in the EEG and those without IEDs. fMRI data sets with co-registered EEG were retrospectively selected of patients from whom the location of the epileptogenic zone was confirmed by outcome of surgery (n = 8). The fMRI data were split into two epochs: one with IEDs visible in scalp EEG and one without. Spatial ICA was applied to the fMRI data of each part separately. The maps of all resulting components were compared to the resection area and the EEG-fMRI correlation pattern by computing a spatial correlation coefficient to detect the epilepsy-related component. For all patients, except one, there was a remarkable resemblance between the epilepsy-related components selected during epochs with IEDs and those without IEDs. These findings suggest that epilepsy-related ICs are not dependent on the presence of IEDs in scalp EEG. Since these epileptic ICs showed partial overlap with resting-state networks of healthy volunteers (n = 10), our study supports the need for new ways to classify epileptic ICs.
Keywords
Epilepsy, EEG-fMRI, LINEAR-MODEL, CORRELATED FMRI, Resting-state fMRI, Independent component analysis, Interictal epileptiform discharges, Epileptic independent component, TEMPORAL-LOBE EPILEPSY, IDIOPATHIC GENERALIZED EPILEPSY, SIMULTANEOUS INTRACRANIAL EEG, FUNCTIONAL CONNECTIVITY MRI, DEFAULT-MODE NETWORK, INDEPENDENT COMPONENTS, ARTIFACT REMOVAL, CLASSIFIERS

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Chicago
van Houdt, Petra J, Pauly PW Ossenblok, Albert J Colon, Kees HM Hermans, Rudolf M Verdaasdonk, Paul Boon, and Jan C de Munck. 2015. “Are Epilepsy-relalated fMRI Components Dependent on the Presence of Interictal Epileptic Discharges in Scalp EEG?” Brain Topography 28 (4): 606–618.
APA
van Houdt, P. J., Ossenblok, P. P., Colon, A. J., Hermans, K. H., Verdaasdonk, R. M., Boon, P., & de Munck, J. C. (2015). Are epilepsy-relalated fMRI components dependent on the presence of interictal epileptic discharges in scalp EEG? BRAIN TOPOGRAPHY, 28(4), 606–618.
Vancouver
1.
van Houdt PJ, Ossenblok PP, Colon AJ, Hermans KH, Verdaasdonk RM, Boon P, et al. Are epilepsy-relalated fMRI components dependent on the presence of interictal epileptic discharges in scalp EEG? BRAIN TOPOGRAPHY. 2015;28(4):606–18.
MLA
van Houdt, Petra J, Pauly PW Ossenblok, Albert J Colon, et al. “Are Epilepsy-relalated fMRI Components Dependent on the Presence of Interictal Epileptic Discharges in Scalp EEG?” BRAIN TOPOGRAPHY 28.4 (2015): 606–618. Print.
@article{5908279,
  abstract     = {Spatial independent component analysis (ICA) is increasingly being used to extract resting-state networks from fMRI data. Previous studies showed that ICA also reveals independent components (ICs) related to the seizure onset zone. However, it is currently unknown how these epileptic ICs depend on the presence of interictal epileptic discharges (IEDs) in the EEG. The goal of this study was to explore the relation between ICs obtained from fMRI epochs during the occurrence of IEDs in the EEG and those without IEDs. fMRI data sets with co-registered EEG were retrospectively selected of patients from whom the location of the epileptogenic zone was confirmed by outcome of surgery (n = 8). The fMRI data were split into two epochs: one with IEDs visible in scalp EEG and one without. Spatial ICA was applied to the fMRI data of each part separately. The maps of all resulting components were compared to the resection area and the EEG-fMRI correlation pattern by computing a spatial correlation coefficient to detect the epilepsy-related component. For all patients, except one, there was a remarkable resemblance between the epilepsy-related components selected during epochs with IEDs and those without IEDs. These findings suggest that epilepsy-related ICs are not dependent on the presence of IEDs in scalp EEG. Since these epileptic ICs showed partial overlap with resting-state networks of healthy volunteers (n = 10), our study supports the need for new ways to classify epileptic ICs.},
  author       = {van Houdt, Petra J and Ossenblok, Pauly PW and Colon, Albert J and Hermans, Kees HM and Verdaasdonk, Rudolf M and Boon, Paul and de Munck, Jan C},
  issn         = {0896-0267},
  journal      = {BRAIN TOPOGRAPHY},
  keyword      = {Epilepsy,EEG-fMRI,LINEAR-MODEL,CORRELATED FMRI,Resting-state fMRI,Independent component analysis,Interictal epileptiform discharges,Epileptic independent component,TEMPORAL-LOBE EPILEPSY,IDIOPATHIC GENERALIZED EPILEPSY,SIMULTANEOUS INTRACRANIAL EEG,FUNCTIONAL CONNECTIVITY MRI,DEFAULT-MODE NETWORK,INDEPENDENT COMPONENTS,ARTIFACT REMOVAL,CLASSIFIERS},
  language     = {eng},
  number       = {4},
  pages        = {606--618},
  title        = {Are epilepsy-relalated fMRI components dependent on the presence of interictal epileptic discharges in scalp EEG?},
  url          = {http://dx.doi.org/10.1007/s10548-014-0407-1},
  volume       = {28},
  year         = {2015},
}

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