Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine

The study introduces a new online spike encoding algorithm for spiking neural networks (SNN) and suggests new methods for learning and identifying diagnostic biomarkers using three prominent deep learning neural network models: deep BiLSTM, reservoir SNN, and NeuCube. EEG data from datasets related...

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 10667 - 21
Main Authors:	Saeedinia, Samaneh Alsadat, Jahed-Motlagh, Mohammad Reza, Tafakhori, Abbas, Kasabov, Nikola Kirilov
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 09.05.2024 Nature Publishing Group Nature Portfolio
Subjects:	631/114 631/114/116 631/114/1305 631/114/1386 631/114/2408 692/53 Adult Algorithms Biomarkers Biomarkers - analysis Brain - physiopathology Brain research Classification Deep BiLSTM Deep Learning EEG EEG classification Electroencephalography - methods Epilepsy Epilepsy - diagnosis Epilepsy - physiopathology Female Firing pattern Headache Humanities and Social Sciences Humans Male Migraine Migraine Disorders - diagnosis Migraine Disorders - physiopathology multidisciplinary Neural networks Neural Networks, Computer Pattern recognition Pilot Projects Reservoirs Science Science (multidisciplinary) Spike encoding algorithm NeuCube Deep BiLSTM Epilepsy Migraine Deep reservoir SNN EEG classification Pattern recognition Spike encoding algorithm
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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