Measuring the effects of first antiepileptic medication in Temporal Lobe Epilepsy: Predictive value of quantitative-EEG analysis |
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Affiliation: | 1. Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, University Campus Bio-Medico of Rome, via Álvaro del Portillo, 21, 00128 Rome, Italy;2. Department of Neurology and Psychiatry, “Sapienza” University of Rome, Italy;3. Unit of Computational Systems and Bioinformatics, Department of Engineering, Campus Bio-Medico University of Rome, Rome, Italy |
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Abstract: | ObjectiveTo determine the quantitative EEG responses in a population of drug-naïve patients with Temporal Lobe Epilepsy (TLE) after Levetiracetam (LEV) initiation as first antiepileptic drug (AED). We hypothesized that the outcome of AED treatment can be predicted from EEG data in patients with TLE.MethodsTwenty-three patients with TLE and twenty-five healthy controls were examined. Clinical outcome was dichotomized into seizure-free (SF) and non-seizure-free (NSF) after two years of LEV. EEG parameters were compared between healthy controls and patients with TLE at baseline (EEGpre) and after three months of AED therapy (EEGpre-post) and between SF and NSF patients. Receiver Operating Characteristic curves models were built to test whether EEG parameters predicted outcome.ResultsAED therapy induces an increase in EEG power for Alpha (p = 0.06) and a decrease in Theta (p < 0.05). Connectivity values were lower in SF compared to NSF patients (p < 0.001). Quantitative EEG predicted outcome after LEV treatment with an estimated accuracy varying from 65.2% to 91.3% (area under the curve [AUC] = 0.56–0.93) for EEGpre and from 69.9% to 86.9% (AUC = 0.69–0.94) for EEGpre-post.ConclusionsAED therapy induces EEG modifications in TLE patients, and such modifications are predictive of clinical outcome.SignificanceQuantitative EEG may help understanding the effect of AEDs in the central nervous system and offer new prognostic biomarkers for patients with epilepsy. |
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Keywords: | Quantitative-EEG Temporal Lobe Epilepsy Biomarkers Anti-epileptic drugs Predictive value Levetiracetam AEDs" },{" #name" :" keyword" ," $" :{" id" :" k0040" }," $$" :[{" #name" :" text" ," _" :" Antiepileptic drugs AUC" },{" #name" :" keyword" ," $" :{" id" :" k0050" }," $$" :[{" #name" :" text" ," _" :" area under the curve EEG" },{" #name" :" keyword" ," $" :{" id" :" k0060" }," $$" :[{" #name" :" text" ," _" :" Electroencephalogram FFT" },{" #name" :" keyword" ," $" :{" id" :" k0070" }," $$" :[{" #name" :" text" ," _" :" Fast Fourier Transform FN" },{" #name" :" keyword" ," $" :{" id" :" k0080" }," $$" :[{" #name" :" text" ," _" :" false negative FP" },{" #name" :" keyword" ," $" :{" id" :" k0090" }," $$" :[{" #name" :" text" ," _" :" false positive LEV" },{" #name" :" keyword" ," $" :{" id" :" k0100" }," $$" :[{" #name" :" text" ," _" :" Levetiracetam NPV" },{" #name" :" keyword" ," $" :{" id" :" k0110" }," $$" :[{" #name" :" text" ," _" :" negative predictive value NSF" },{" #name" :" keyword" ," $" :{" id" :" k0120" }," $$" :[{" #name" :" text" ," _" :" non-seizure free PLV" },{" #name" :" keyword" ," $" :{" id" :" k0130" }," $$" :[{" #name" :" text" ," _" :" Phase Locking Value PPV" },{" #name" :" keyword" ," $" :{" id" :" k0140" }," $$" :[{" #name" :" text" ," _" :" positive predictive value PSD" },{" #name" :" keyword" ," $" :{" id" :" k0150" }," $$" :[{" #name" :" text" ," _" :" Power Spectrum Density ROC" },{" #name" :" keyword" ," $" :{" id" :" k0160" }," $$" :[{" #name" :" text" ," _" :" Receiver Operating Characteristic SF" },{" #name" :" keyword" ," $" :{" id" :" k0170" }," $$" :[{" #name" :" text" ," _" :" seizure-free SVP2A" },{" #name" :" keyword" ," $" :{" id" :" k0180" }," $$" :[{" #name" :" text" ," _" :" synaptic vesicle proteins 2A TLE" },{" #name" :" keyword" ," $" :{" id" :" k0190" }," $$" :[{" #name" :" text" ," _" :" Temporal Lobe Epilepsy TP" },{" #name" :" keyword" ," $" :{" id" :" k0200" }," $$" :[{" #name" :" text" ," _" :" true positive TN" },{" #name" :" keyword" ," $" :{" id" :" k0210" }," $$" :[{" #name" :" text" ," _" :" true negative |
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