1. Network analysis of EEG related functional MRI changes due to medication withdrawal in focal epilepsy
- Author
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Paul Boon, Rudolf M. Verdaasdonk, Jan C. de Munck, Kees Hermans, Petra J. van Houdt, Pauly Ossenblok, Albert Colon, Liesbeth Geerts, RS: CARIM - R2 - Cardiac function and failure, Farmacologie en Toxicologie, Physics and medical technology, and NCA - Brain imaging technology
- Subjects
Male ,MOTION ,Electroencephalography ,EEG-fMRI ,lcsh:RC346-429 ,Resting-statefMRI ,Correlation ,Epilepsy ,Functional connectivity ,Medicine and Health Sciences ,RECORDINGS ,Epilepsy surgery ,medicine.diagnostic_test ,Regular Article ,Middle Aged ,SUBTRACTION ,Magnetic Resonance Imaging ,CORRELATED FMRI ,EEG–fMRI ,Neurology ,Cardiology ,lcsh:R858-859.7 ,Anticonvulsants ,Female ,Psychology ,Adult ,medicine.medical_specialty ,Cognitive Neuroscience ,lcsh:Computer applications to medicine. Medical informatics ,CONNECTIVITY MRI ,Young Adult ,Internal medicine ,medicine ,Anti-epileptic drugs ,Humans ,Radiology, Nuclear Medicine and imaging ,Resting-state fMRI ,SOURCE LOCALIZATION ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Resting state fMRI ,INDEPENDENT COMPONENT ANALYSIS ,ARTIFACT REMOVAL ,Magnetic resonance imaging ,Neurophysiology ,medicine.disease ,SPIKES ,PATTERNS ,Neurology (clinical) ,Epilepsies, Partial ,Nerve Net ,Neuroscience - 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., Highlights • EEG–fMRI measured before and after withdrawal of AEDs in focal epilepsy. • Epilepsy-related fMRI patterns are comparable before and after withdrawal of AEDs. • Increased functional connectivity and EEG–fMRI yield after withdrawal of AEDs.
- Published
- 2015
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