Criteria for defining interictal epileptiform discharges in EEG: A clinical validation study
Mustafa Aykut Kural1, Lene Duez1, Vibeke Sejer Hansen1
1From the Department of Clinical Neurophysiology (M.A.K., L.D., V.S.H., H.T., S.B.), Aarhus University Hospital, Aarhus, Denmark; Department of Neurosurgery (P.G.L.), Rikshospitalet, Oslo University Hospital, Norway; Department of Neurosurgery (S.R.), University Hospital Erlangen, Germany; Department of Neurosurgery (S.R.), University Hospital Halle (Saale), Germany; Epilepsy Center Bethel (R.S.), Mara Hospital, Bielefeld, Germany; Krembil Brain Institute (R.W.), Toronto Western Hospital, University of Toronto, Canada; Department of Biostatistics (B.M.B.), Aarhus University, Denmark; Department of Research (M.S.), BESA GmbH, Gräfelfing, Germany; Department of Clinical Neurophysiology (S.B.), Danish Epilepsy Centre, Dianalund, Denmark; and Department of Clinical Medicine (S.B.), Aarhus University, Denmark.
Objective:
To define and validate criteria for accurate identification of EEG interictal epileptiform discharges (IEDs) using (1) the 6 sensor space criteria proposed by the International Federation of Clinical Neurophysiology (IFCN) and (2) a novel source space method. Criteria yielding high specificity are needed because EEG over-reading is a common cause of epilepsy misdiagnosis.
Methods:
Seven raters reviewed EEG sharp transients from 100 patients with and without epilepsy (diagnosed definitively by video-EEG recording of habitual events). Raters reviewed the transients, randomized, and classified them as epileptiform or nonepileptiform in 3 separate rounds: in 2, EEG was reviewed in sensor space (scoring the presence/absence of each IFCN criterion for each transient or classifying unrestricted by criteria [expert scoring]); in the other, review and classification were performed in source space.
Results:
Cutoff values of 4 and 5 criteria in sensor space and analysis in source space provided high accuracy (91%, 88%, and 90%, respectively), similar to expert scoring (92%). Two methods had specificity exceeding the desired threshold of 95%: using 5 IFCN criteria as cutoff and analysis in source space (both 95.65%); the sensitivity of these methods was 81.48% and 85.19%, respectively.
Conclusions:
The presence of 5 IFCN criteria in sensor space and analysis in source space are optimal for clinical implementation. By extracting these objective features, diagnostic accuracy similar to expert scorings is achieved.
Classification Of Evidence:
This study provides Class III evidence that IFCN criteria in sensor space and analysis in source space have high specificity (>95%) and sensitivity (81%-85%) for identification of IEDs.
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