Multi-feature localization of epileptic foci from interictal, intracranial EEG.
Connectivity
Drug resistant epilepsy
Epileptogenic zone localization
High frequency oscillations
Machine learning
Multi-feature approach
Journal
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
received:
28
02
2019
revised:
09
07
2019
accepted:
19
07
2019
pubmed:
30
8
2019
medline:
13
5
2020
entrez:
30
8
2019
Statut:
ppublish
Résumé
When considering all patients with focal drug-resistant epilepsy, as high as 40-50% of patients suffer seizure recurrence after surgery. To achieve seizure freedom without side effects, accurate localization of the epileptogenic tissue is crucial before its resection. We investigate an automated, fast, objective mapping process that uses only interictal data. We propose a novel approach based on multiple iEEG features, which are used to train a support vector machine (SVM) model for classification of iEEG electrodes as normal or pathologic using 30 min of inter-ictal recording. The tissue under the iEEG electrodes, classified as epileptogenic, was removed in 17/18 excellent outcome patients and was not entirely resected in 8/10 poor outcome patients. The overall best result was achieved in a subset of 9 excellent outcome patients with the area under the receiver operating curve = 0.95. SVM models combining multiple iEEG features show better performance than algorithms using a single iEEG marker. Multiple iEEG and connectivity features in presurgical evaluation could improve epileptogenic tissue localization, which may improve surgical outcome and minimize risk of side effects. In this study, promising results were achieved in localization of epileptogenic regions by SVM models that combine multiple features from 30 min of inter-ictal iEEG recordings.
Identifiants
pubmed: 31465970
pii: S1388-2457(19)31177-0
doi: 10.1016/j.clinph.2019.07.024
pmc: PMC6759804
mid: NIHMS1538349
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1945-1953Subventions
Organisme : NINDS NIH HHS
ID : R01 NS063039
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS078136
Pays : United States
Informations de copyright
Copyright © 2019 International Federation of Clinical Neurophysiology. All rights reserved.
Références
Neuroscience. 1999;94(4):1005-18
pubmed: 10625043
N Engl J Med. 2001 Aug 2;345(5):311-8
pubmed: 11484687
Neuroimage. 2002 Jan;15(1):273-89
pubmed: 11771995
J Neurosci. 2002 Mar 1;22(5):2012-21
pubmed: 11880532
J Neurosci. 2002 Jul 1;22(13):5694-704
pubmed: 12097521
Epilepsia. 2002;43 Suppl 6:21-5
pubmed: 12190974
Ann Neurol. 2004 Jul;56(1):108-15
pubmed: 15236407
Clin Neurophysiol. 2005 Jan;116(1):1-8
pubmed: 15589176
Science. 1992 May 15;256(5059):1025-7
pubmed: 1589772
Hum Brain Mapp. 2007 Nov;28(11):1178-93
pubmed: 17266107
Clin Neurophysiol. 2007 May;118(5):1134-43
pubmed: 17382583
Brain. 2008 Apr;131(Pt 4):928-37
pubmed: 18263625
Epilepsia. 2008 Nov;49(11):1893-907
pubmed: 18479382
Epilepsy Res. 2008 Sep;81(1):58-68
pubmed: 18547787
Neurosurgery. 2008 Sep;63(3):498-505; discussion 505-6
pubmed: 18812961
Neuron. 2009 Jan 15;61(1):35-41
pubmed: 19146811
Clin Neurophysiol. 2010 Mar;121(3):301-10
pubmed: 19955019
Conf Proc IEEE Eng Med Biol Soc. 2009;2009:2180-3
pubmed: 19963540
Epilepsy Res. 2010 May;89(2-3):310-8
pubmed: 20227852
Brain. 2010 Sep;133(9):2789-97
pubmed: 20685804
J Neurophysiol. 2010 Dec;104(6):3530-9
pubmed: 20926610
Prog Neurobiol. 2012 Sep;98(3):265-78
pubmed: 22420981
Epilepsy Res Treat. 2011;2011:303624
pubmed: 22937231
J Neurophysiol. 2013 Sep;110(5):1167-79
pubmed: 23761699
J Neurophysiol. 2013 Oct;110(8):1958-64
pubmed: 23926038
PLoS One. 2013 Oct 30;8(10):e77916
pubmed: 24205027
Epilepsia. 2014 Feb;55(2):296-305
pubmed: 24417731
Nat Rev Neurol. 2014 May;10(5):261-70
pubmed: 24709892
Brain. 2014 Aug;137(Pt 8):2231-44
pubmed: 24919972
Neurology. 2015 Feb 24;84(8):810-7
pubmed: 25616485
BMC Neurosci. 2015 Jul 25;16:47
pubmed: 26205426
Curr Opin Neurol. 2016 Apr;29(2):175-81
pubmed: 26953850
J Neurophysiol. 2016 Jun 1;115(6):3140-5
pubmed: 27030735
J Neural Eng. 2016 Jun;13(3):036015
pubmed: 27137952
J Neural Eng. 2017 Apr;14(2):026001
pubmed: 28050973
PLoS One. 2017 Apr 13;12(4):e0174702
pubmed: 28406919
Epilepsia. 2017 Aug;58(8):1316-1329
pubmed: 28666056
Ann Neurol. 2017 Aug;82(2):299-310
pubmed: 28779553
J Neurosci Methods. 2018 Jan 1;293:6-16
pubmed: 28860077
Sci Rep. 2017 Oct 23;7(1):13836
pubmed: 29062105
Nat Commun. 2018 Jan 8;9(1):88
pubmed: 29311566
Neurology. 2018 Feb 20;90(8):e639-e646
pubmed: 29367441
Brain. 2018 Apr 1;141(4):1130-1144
pubmed: 29506200
Curr Opin Biomed Eng. 2017 Dec;4:87-96
pubmed: 29532041
J Neural Eng. 2018 Aug;15(4):046035
pubmed: 29855436
Nat Commun. 2018 Jun 1;9(1):2155
pubmed: 29858570
Neurology. 2018 Aug 14;91(7):e666-e674
pubmed: 30006411
Neuroinformatics. 2019 Apr;17(2):225-234
pubmed: 30105544
Neurology. 2018 Sep 11;91(11):e1040-e1052
pubmed: 30120133
Ann Clin Transl Neurol. 2018 Aug 09;5(9):1062-1076
pubmed: 30250863