Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications.

PURPOSE: Children with epilepsy in low-income countries often go undiagnosed and untreated. We examine a portable, low-cost smartphone-based EEG technology in a heterogeneous pediatric epilepsy cohort in the West African Republic of Guinea. METHODS: Children with epilepsy were recruited at the Ignace Deen Hospital in Conakry, 2017. Participants underwent sequential EEG recordings with an app-based EEG, the Smartphone Brain Scanner-2 (SBS2) and a standard Xltek EEG. Raw EEG data were transmitted via Bluetooth™ connection to an Android™ tablet and uploaded for remote EEG specialist review and reporting via a new, secure web-based reading platform, crowdEEG. The results were compared to same-visit Xltek 10-20 EEG recordings for identification of epileptiform and non-epileptiform abnormalities. RESULTS: 97 children meeting the International League Against Epilepsy's definition of epilepsy (49 male; mean age 10.3 years, 29 untreated with an antiepileptic drug; 0 with a prior EEG) were enrolled. Epileptiform discharges were detected on 21 (25.3%) SBS2 and 31 (37.3%) standard EEG recordings. The SBS2 had a sensitivity of 51.6% (95%CI 32.4%, 70.8%) and a specificity of 90.4% (95%CI 81.4%, 94.4%) for all types of epileptiform discharges, with positive and negative predictive values of 76.2% and 75.8% respectively. For generalized discharges, the SBS2 had a sensitivity of 43.5% with a specificity of 96.2%. CONCLUSIONS: The SBS2 has a moderate sensitivity and high specificity for the detection of epileptiform abnormalities in children with epilepsy in this low-income setting. Use of the SBS2+crowdEEG platform permits specialist input for patients with previously poor access to clinical neurophysiology expertise.

LGI1-negative faciobrachial dystonic-like seizures originating from the insula.

We expand the differential diagnosis of LGI1-positive faciobrachial dystonic seizures (FBDS) by presenting a 67-year-old woman affected by seizures of similar semiology who was found to have insular epilepsy. We report the distinct characteristics of insular faciobrachial dystonic-like seizures that would help clinicians to differentiate them from typical LGI1-positive FBDS, thus, guiding therapy while awaiting antibody results. LGI1-negative faciobrachial dystonic-like seizures should be considered when the seizure semiology includes unilateral and prolonged dystonia without loss of awareness, there is an ictal EEG correlate, MRI is suggestive of insular lesion, and when there is neither clearly associated memory impairment nor hyponatremia.