Seizure Susceptibility Prediction in Uncontrolled Epilepsy. - National Genomics Data Center (CNCB-NGDC)

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Seizure Susceptibility Prediction in Uncontrolled Epilepsy.

Nhan Duy Truong, Yikai Yang, Christina Maher, Levin Kuhlmann, Alistair McEwan, Armin Nikpour, Omid Kavehei

Author Information

Nhan Duy Truong: Australian Research Council Training Centre for Innovative BioEngineering, School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.
Yikai Yang: Australian Research Council Training Centre for Innovative BioEngineering, School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.
Christina Maher: Australian Research Council Training Centre for Innovative BioEngineering, School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.
Levin Kuhlmann: Faculty of Information Technology, Monash University, Melbourne, VIC, Australia.
Alistair McEwan: Australian Research Council Training Centre for Innovative BioEngineering, School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.
Armin Nikpour: Comprehensive Epilepsy Service and Department of Neurology at the Royal Prince Alfred Hospital, Sydney, NSW, Australia.
Omid Kavehei: Australian Research Council Training Centre for Innovative BioEngineering, School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.

PMID: 34589049 DOI: 10.3389/fneur.2021.721491

Epileptic seizure forecasting, combined with the delivery of preventative therapies, holds the potential to greatly improve the quality of life for epilepsy patients and their caregivers. Forecasting seizures could prevent some potentially catastrophic consequences such as injury and death in addition to several potential clinical benefits it may provide for patient care in hospitals. The challenge of seizure forecasting lies within the seemingly unpredictable transitions of brain dynamics into the ictal state. The main body of computational research on determining seizure risk has been focused solely on prediction algorithms, which involves a challenging issue of balancing sensitivity and false alarms. There have been some studies on identifying potential biomarkers for seizure forecasting; however, the questions of "What are the true biomarkers for seizure prediction" or even "Is there a valid biomarker for seizure prediction?" are yet to be fully answered. In this paper, we introduce a tool to facilitate the exploration of the potential biomarkers. We confirm using our tool that interictal slowing activities are a promising biomarker for epileptic seizure susceptibility prediction.

Bayesian epileptic seizure forecasting probabilistic programming uncertainty level variational inference

Curr Opin Neurol. 2020 Apr;33(2):163-172 [PMID: 32049738]

Lancet. 2011 Dec 10;378(9808):2028-2038 [PMID: 21737136]

IEEE J Biomed Health Inform. 2020 Feb;24(2):465-474 [PMID: 31395568]

Epilepsy Behav. 2012 Oct;25(2):230-8 [PMID: 23041171]

Epilepsia. 2012 Sep;53(9):1669-76 [PMID: 22738131]

Front Comput Neurosci. 2018 Jul 19;12:55 [PMID: 30072886]

Front Neurol. 2020 Nov 05;11:984 [PMID: 33250835]

Epilepsia. 2011 Mar;52(3):467-76 [PMID: 21204828]

Neural Netw. 2018 Sep;105:104-111 [PMID: 29793128]

Front Neurol. 2021 May 13;12:675728 [PMID: 34054713]

Epilepsy Curr. 2007 Jul-Aug;7(4):91-4 [PMID: 17694162]

Comput Intell Neurosci. 2017;2017:1240323 [PMID: 29225615]

Brain. 2017 Aug 1;140(8):2169-2182 [PMID: 28899023]

Neurology. 2019 Jul 16;93(3):e227-e236 [PMID: 31217259]

J Neurosci Methods. 2019 Nov 1;327:108395 [PMID: 31408651]

Neuron. 2001 Apr;30(1):51-64 [PMID: 11343644]

Sci Rep. 2018 Oct 19;8(1):15491 [PMID: 30341370]

Seizure. 2016 Aug;40:88-101 [PMID: 27376911]

Front Physiol. 2017 Oct 05;8:765 [PMID: 29051738]

Front Neurol. 2020 Jun 23;11:520 [PMID: 32714261]

Nat Commun. 2020 May 1;11(1):2172 [PMID: 32358560]

Int J Neural Syst. 2017 May;27(3):1750006 [PMID: 27873554]

J Neurosci. 2011 Sep 14;31(37):13292-300 [PMID: 21917812]

Epilepsia. 2002 Aug;43(8):847-54 [PMID: 12181003]

Front Hum Neurosci. 2016 Mar 08;10:80 [PMID: 27014017]

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