--- a
+++ b/README.md
@@ -0,0 +1,34 @@
+## Criteria for defining interictal epileptiform discharges in EEG: a clinical validation study
+### Creators
+Kural, Mustafa Aykut
+Duez, Lene
+Sejer Hansen, Vibeke
+Larsson, Pål Gunnar
+Rampp, Stefan
+Schulz, Reinhard
+Tankisi, Hatice
+Wennberg, Richard
+Bibby, Bo
+Scherg, Michael
+Beniczky, Sandor
+
+## Description
+### Objective: 
+To define and validate criteria for accurate identification of EEG interictal epileptiform discharges (IEDs) using: (a) the six sensor space criteria proposed by the International Federation of Clinical Neurophysiology (IFCN), and, (b) 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 segments containing sharp waveforms from 100 patients with and without epilepsy. Clinical diagnosis gold standard was video-EEG recording of habitual paroxysmal events. Raters reviewed in three separate rounds, in randomized order: 1) in sensor space, presence/absence of each IFCN criterion was scored; 2) in source space, sharp transients were classified as epileptiform or non-epileptiform; 3) in sensor space, sharp transients were classified unrestricted by any criteria (expert scoring).
+
+### Results:
+Cut-off 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 cut-off, and analysis in source space (both 95.65%); sensitivity of these methods was 81.48% and 85.19%.
+
+### Conclusions: 
+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.
+
+### Notes
+EDF files are electroencephalography (EEG) recordings in a non-proprietary format (European Data Format).
+
+Most EEG software can read EDF format.
\ No newline at end of file