Cluster-based spike detection algorithm adapts to interpatient and intrapatient variation in spike morphology.

Visual quantification of interictal epileptiform activity is time consuming and requires a high level of expert's vigilance. This is especially true for overnight recordings of patient suffering from epileptic encephalopathy with continuous spike and waves during slow-wave sleep (CSWS) as they can show tens of thousands of spikes. Automatic spike detection would be attractive for this condition, but available algorithms have methodological limitations related to variation in spike morphology both between patients and within a single recording. We propose a fully automated method of interictal spike detection that adapts to interpatient and intrapatient variation in spike morphology. The algorithm works in five steps. (1) Spikes are detected using parameters suitable for highly sensitive detection. (2) Detected spikes are separated into clusters. (3) The number of clusters is automatically adjusted. (4) Centroids are used as templates for more specific spike detections, therefore adapting to the types of spike morphology. (5) Detected spikes are summed. The algorithm was evaluated on EEG samples from 20 children suffering from epilepsy with CSWS. When compared to the manual scoring of 3 EEG experts (3 records), the algorithm demonstrated similar performance since sensitivity and selectivity were 0.3% higher and 0.4% lower, respectively. The algorithm showed little difference compared to the manual scoring of another expert for the spike-and-wave index evaluation in 17 additional records (the mean absolute difference was 3.8%). This algorithm is therefore efficient for the count of interictal spikes and determination of a spike-and-wave index.

Treatment and long term outcome in West syndrome: the clinical reality. A multicentre follow up study.

We systematically reviewed the files of 51 infants presenting with infantile spasms and hypsarrhythmia in order to study the initial treatment strategies and the long term outcome. 80% of the infants were classified as symptomatic. In the nine participating centres, different treatment protocols were used, but the large majority of the children received vigabatrin as first line treatment. Second line options included hormonal treatment, topiramate and valproate. The time to reach cessation of infantile spasms was significantly shorter in the cryptogenic group than in the symptomatic group (50% at 13 days versus 66 days respectively) and was irrespective of the treatment used. The late follow up data (>2 years) showed that 60% of the children had epilepsy and that 75% of the children had a delay in their psychomotor development. Again, outcome in the cryptogenic group was better than in the symptomatic group, but also in the cryptogenic group, 50% of the children had a clear developmental delay, even if spasms were controlled early in the course of the disease. Our retrospective study illustrates that not only the underlying brain dysfunction is the major determinant for later outcome in infantile spasms (symptomatic group) but also even a short period of infantile spasms can be responsible for later developmental delay (cryptogenic group).

Multiple exostoses, mental retardation, hypertrichosis, and brain abnormalities in a boy with a de novo 8q24 submicroscopic interstitial deletion.

Multiple exostoses represent a genetically heterogeneous disorder that may occur isolated or as part of a complex contiguous gene syndrome such as Langer-Giedion syndrome on chromosome 8 and the proximal 11p deletion syndrome on chromosome 11. Here we describe a boy with multiple exostoses, hypertrichosis, mental retardation, and epilepsy due to a de novo deletion on chromosome 8q24. Molecular analysis revealed that the deletion interval overlaps with the Langer-Giedion syndrome and involves the EXT1 gene and additional genes located distal to EXT1, but probably not encompassing the TRPS1 gene located proximal to EXT1.