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Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy

(2015) NEUROIMAGE-CLINICAL. 8. p.560-571
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Abstract
Anti-epileptic drugs (AEDs) have a global effect on the neurophysiology of the brain which is most likely reflected in functional brain activity recorded with EEG and fMRI. These effects may cause substantial inter-subject variability in studies where EEG correlated functional MRI (EEG-fMRI) is used to determine the epileptogenic zone in patients who are candidate for epilepsy surgery. In the present study the effects on resting state fMRI are quantified in conditions with AED administration and after withdrawal of AEDs. EEG-fMRI data were obtained from 10 patients in the condition that the patient was on the steady-state maintenance doses of AEDs as prescribed (condition A) and after withdrawal of AEDs (condition B), at the end of a clinically standard pre-surgical long term video-EEG monitoring session. Resting state networks (RSN) were extracted from fMRI. The epileptic component (ICE) was identified by selecting the RSN component with the largest overlap with the EEG-fMRI correlation pattern. Changes in RSN functional connectivity between conditions A and B were quantified. EEG-fMRI correlation analysis was successful in 30% and 100% of the cases in conditions A and B, respectively. Spatial patterns of ICEs are comparable in conditions A and B, except for one patient for whom it was not possible to identify the ICE in condition A. However, the resting state functional connectivity is significantly increased in the condition after withdrawal of AEDs (condition B), which makes resting state fMRI potentially a new tool to study AED effects. The difference in sensitivity of EEG-fMRI in conditions A and B, which is not related to the number of epileptic EEG events occurring during scanning, could be related to the increased functional connectivity in condition B.
Keywords
Anti-epileptic drugs, EEG–fMRI, Functional connectivity, Epilepsy, Resting-state fMRI, INDEPENDENT COMPONENT ANALYSIS, CORRELATED FMRI, SOURCE LOCALIZATION, ARTIFACT REMOVAL, CONNECTIVITY MRI, SPIKES, MOTION, SUBTRACTION, RECORDINGS, PATTERNS

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Chicago
Hermans, Kees, Pauly Ossenblok, Petra van Houdt, Liesbeth Geerts, Rudolf Verdaasdonk, Paul Boon, Albert Colon, and Jan C de Munck. 2015. “Network Analysis of EEG Related Functional MRI Changes Due to Medication Withdrawal in Focal Epilepsy.” Neuroimage-clinical 8: 560–571.
APA
Hermans, Kees, Ossenblok, P., van Houdt, P., Geerts, L., Verdaasdonk, R., Boon, P., Colon, A., et al. (2015). Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy. NEUROIMAGE-CLINICAL, 8, 560–571.
Vancouver
1.
Hermans K, Ossenblok P, van Houdt P, Geerts L, Verdaasdonk R, Boon P, et al. Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy. NEUROIMAGE-CLINICAL. 2015;8:560–71.
MLA
Hermans, Kees, Pauly Ossenblok, Petra van Houdt, et al. “Network Analysis of EEG Related Functional MRI Changes Due to Medication Withdrawal in Focal Epilepsy.” NEUROIMAGE-CLINICAL 8 (2015): 560–571. Print.
@article{6985667,
  abstract     = {Anti-epileptic drugs (AEDs) have a global effect on the neurophysiology of the brain which is most likely reflected in functional brain activity recorded with EEG and fMRI. These effects may cause substantial inter-subject variability in studies where EEG correlated functional MRI (EEG-fMRI) is used to determine the epileptogenic zone in patients who are candidate for epilepsy surgery. In the present study the effects on resting state fMRI are quantified in conditions with AED administration and after withdrawal of AEDs. EEG-fMRI data were obtained from 10 patients in the condition that the patient was on the steady-state maintenance doses of AEDs as prescribed (condition A) and after withdrawal of AEDs (condition B), at the end of a clinically standard pre-surgical long term video-EEG monitoring session. Resting state networks (RSN) were extracted from fMRI. The epileptic component (ICE) was identified by selecting the RSN component with the largest overlap with the EEG-fMRI correlation pattern. Changes in RSN functional connectivity between conditions A and B were quantified. EEG-fMRI correlation analysis was successful in 30\% and 100\% of the cases in conditions A and B, respectively. Spatial patterns of ICEs are comparable in conditions A and B, except for one patient for whom it was not possible to identify the ICE in condition A. However, the resting state functional connectivity is significantly increased in the condition after withdrawal of AEDs (condition B), which makes resting state fMRI potentially a new tool to study AED effects. The difference in sensitivity of EEG-fMRI in conditions A and B, which is not related to the number of epileptic EEG events occurring during scanning, could be related to the increased functional connectivity in condition B.},
  author       = {Hermans, Kees and Ossenblok, Pauly and van Houdt, Petra and Geerts, Liesbeth and Verdaasdonk, Rudolf and Boon, Paul and Colon, Albert and de Munck, Jan C},
  issn         = {2213-1582},
  journal      = {NEUROIMAGE-CLINICAL},
  keyword      = {Anti-epileptic drugs,EEG--fMRI,Functional connectivity,Epilepsy,Resting-state fMRI,INDEPENDENT COMPONENT ANALYSIS,CORRELATED FMRI,SOURCE LOCALIZATION,ARTIFACT REMOVAL,CONNECTIVITY MRI,SPIKES,MOTION,SUBTRACTION,RECORDINGS,PATTERNS},
  language     = {eng},
  pages        = {560--571},
  title        = {Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy},
  url          = {http://dx.doi.org/10.1016/j.nicl.2015.06.002},
  volume       = {8},
  year         = {2015},
}

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