کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10326463 678070 2016 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A phase-locked loop epilepsy network emulator
ترجمه فارسی عنوان
یک شبیه ساز شبکیه صرع حلقه فاز قفل شده است
کلمات کلیدی
شبیه سازی صرع، شبکه عصبی، آنتروپی تقریبی الکتروکورتیکوگرافی، حلقه فاز قفل شده،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Most seizure forecasting employs statistical learning techniques that lack a representation of the network interactions that give rise to seizures. We present an epilepsy network emulator (ENE) that uses a network of interconnected phase-locked loops (PLLs) to model synchronous, circuit-level oscillations between electrocorticography (ECoG) electrodes. Using ECoG data from a canine-epilepsy model (Davis et al., 2011 [6]) and a physiological entropy measure (approximate entropy or ApEn, Pincus 1995 [21]), we demonstrate that the entropy of the emulator phases increases dramatically during ictal periods across all ECoG recording sites and across all animals in the sample. Further, this increase precedes the observable voltage spikes that characterize seizure activity in the ECoG data. These results suggest that the ENE is sensitive to phase-domain information in the neural circuits measured by ECoG and that an increase in the entropy of this measure coincides with increasing likelihood of seizure activity. Understanding this unpredictable phase-domain electrical activity present in ECoG recordings may provide a target for seizure detection and feedback control.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 173, Part 3, 15 January 2016, Pages 1245-1249
نویسندگان
, , , ,