Artificial neural network trained on smartphone behavior can trace epileptiform activity in epilepsy

Robert B Duckrow,Enea Ceolini,Hitten P Zaveri,Cornell Brooks,Arko Ghosh

doi:10.1016/j.isci.2021.102538

Robert B Duckrow, Enea Ceolini + Show 3 more

Open Access

https://doi.org/10.1016/j.isci.2021.102538

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Journal: iScience	Publication Date: May 13, 2021
Citations: 11	License type: cc-by

Affiliation: Yale University, Leiden University

Abstract

SummaryA range of abnormal electrical activity patterns termed epileptiform discharges can occur in the brains of persons with epilepsy. These epileptiform discharges can be monitored and recorded with implanted devices that deliver therapeutic neurostimulation. These continuous recordings provide an opportunity to study the behavioral correlates of epileptiform discharges as the patients go about their daily lives. Here, we captured the smartphone touchscreen interactions in eight patients in conjunction with electrographic recordings (accumulating 35,714 h) and by using an artificial neural network model addressed if the behavior reflected the epileptiform discharges. The personalized model outputs based on smartphone behavioral inputs corresponded well with the observed electrographic data (R: 0.2–0.6, median 0.4). The realistic reconstructions of epileptiform activity based on smartphone use demonstrate how day-to-day digital behavior may be converted to personalized markers of disease activity in epilepsy

Highlights

Epilepsy is defined by recurrent seizures driven by abnormal brain electrical activity (Engel and Pedley, 2008), as demonstrated by the electroencephalogram (EEG) during the seizure (Gibbs et al, 1937)
SUMMARY A range of abnormal electrical activity patterns termed epileptiform discharges can occur in the brains of persons with epilepsy
These epileptiform discharges can be monitored and recorded with implanted devices that deliver therapeutic neurostimulation. These continuous recordings provide an opportunity to study the behavioral correlates of epileptiform discharges as the patients go about their daily lives

Summary

Introduction

Epilepsy is defined by recurrent seizures driven by abnormal brain electrical activity (Engel and Pedley, 2008), as demonstrated by the electroencephalogram (EEG) during the seizure (Gibbs et al, 1937). Apart from ictal EEG activities, non-ictal but epileptiform EEG discharges can occur between seizures As traditionally defined, these interictal discharges such as EEG spikes or spike and wave complexes are brief, usually lasting

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