Visual analysis of high density EEG: As good as electrical source imaging?
•Visual analysis of HD-EEG is an excellent tool to explore the epileptogenic focus.•ESI remains the gold standard for presurgical evaluation of the cortical source.•ESI at 50% slope/ESI at peak discordance could predict worse surgical outcome. In this study, we sought to determine whether visual ana...
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          | Published in | Clinical neurophysiology practice Vol. 5; pp. 16 - 22 | 
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| Main Authors | , , , , , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Netherlands
          Elsevier B.V
    
        01.01.2020
     Elsevier  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 2467-981X 2467-981X  | 
| DOI | 10.1016/j.cnp.2019.09.002 | 
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| Abstract | •Visual analysis of HD-EEG is an excellent tool to explore the epileptogenic focus.•ESI remains the gold standard for presurgical evaluation of the cortical source.•ESI at 50% slope/ESI at peak discordance could predict worse surgical outcome.
In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI).
HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient’s individual MRI. We considered the localization “correct” if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI.
Twelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results.
Localization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation.
The present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible. | 
    
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| AbstractList | In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI).OBJECTIVEIn this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI).HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient's individual MRI. We considered the localization "correct" if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI.METHODSHD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient's individual MRI. We considered the localization "correct" if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI.Twelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results.RESULTSTwelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results.Localization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation.CONCLUSIONSLocalization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation.The present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible.SIGNIFICANCEThe present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible. •Visual analysis of HD-EEG is an excellent tool to explore the epileptogenic focus.•ESI remains the gold standard for presurgical evaluation of the cortical source.•ESI at 50% slope/ESI at peak discordance could predict worse surgical outcome. In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI). HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient’s individual MRI. We considered the localization “correct” if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI. Twelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results. Localization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation. The present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible. Objective: In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI). Methods: HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient’s individual MRI. We considered the localization “correct” if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI. Results: Twelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results. Conclusions: Localization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation. Significance: The present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible. In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to electrical source imaging (ESI). HD-EEG (256 electrodes) recordings from 20 patients suffering from unifocal, drug-resistant epilepsy (13 women, mean age 29.1 ± 2.62 years, 11 with temporal lobe epilepsy) were examined. In the visual analysis condition, we identified the 5 contacts with maximal spike amplitude and determined their localization with respect to the underlying cortex. ESI was computed using the LAURA algorithm of the averaged spikes in the patient's individual MRI. We considered the localization "correct" if all 5 contacts were concordant with the resection volume underneath or if ESI was located within the resection as determined by the postoperative MRI. Twelve patients were postoperatively seizure-free (Engel Class IA), while the remaining eight were in class IB to IV. Visual analysis and ESI showed sensitivity of 58% and 75%, specificity of 75% and 87%, and accuracy of 65% and 80%, respectively. In 70% of cases, visual analysis and ESI provided concordant results. Localization of the electrodes with maximal spike amplitude provides very good estimation of the localization of the underlying source. However, ESI has a higher accuracy and adds 3D information; therefore, it should remain the tool of choice for presurgical evaluation. The present study proposes the possibility to analyze HD-EEG visually, in tandem with ESI or alone, if ESI is not accessible. • Visual analysis of HD-EEG is an excellent tool to explore the epileptogenic focus. • ESI remains the gold standard for presurgical evaluation of the cortical source. • ESI at 50% slope/ESI at peak discordance could predict worse surgical outcome.  | 
    
| Author | Rubega, Maria Spinelli, Laurent Carboni, Margherita Toscano, Gianpaolo Terzaghi, Michele Seeck, Margitta Bartoli, Andrea Momjian, Shahan Vulliemoz, Serge Pittau, Francesca Manni, Raffaele  | 
    
| AuthorAffiliation | b Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy a EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland e Department of Neurosurgery, University Hospital of Geneva, Geneva, Switzerland d Functional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, Geneva, Switzerland c Department of Brain and Behavioural Sciences, University of Pavia, Italy  | 
    
| AuthorAffiliation_xml | – name: b Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy – name: d Functional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, Geneva, Switzerland – name: c Department of Brain and Behavioural Sciences, University of Pavia, Italy – name: e Department of Neurosurgery, University Hospital of Geneva, Geneva, Switzerland – name: a EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland  | 
    
| Author_xml | – sequence: 1 givenname: Gianpaolo surname: Toscano fullname: Toscano, Gianpaolo email: gianpaolo.toscano@mondino.it organization: EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland – sequence: 2 givenname: Margherita surname: Carboni fullname: Carboni, Margherita organization: EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland – sequence: 3 givenname: Maria surname: Rubega fullname: Rubega, Maria organization: Functional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, Geneva, Switzerland – sequence: 4 givenname: Laurent surname: Spinelli fullname: Spinelli, Laurent organization: EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland – sequence: 5 givenname: Francesca surname: Pittau fullname: Pittau, Francesca organization: EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland – sequence: 6 givenname: Andrea surname: Bartoli fullname: Bartoli, Andrea organization: Department of Neurosurgery, University Hospital of Geneva, Geneva, Switzerland – sequence: 7 givenname: Shahan surname: Momjian fullname: Momjian, Shahan organization: Department of Neurosurgery, University Hospital of Geneva, Geneva, Switzerland – sequence: 8 givenname: Raffaele surname: Manni fullname: Manni, Raffaele organization: Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy – sequence: 9 givenname: Michele surname: Terzaghi fullname: Terzaghi, Michele organization: Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy – sequence: 10 givenname: Serge surname: Vulliemoz fullname: Vulliemoz, Serge organization: EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland – sequence: 11 givenname: Margitta surname: Seeck fullname: Seeck, Margitta organization: EEG and Epilepsy Unit, University Hospital of Geneva, Geneva, Switzerland  | 
    
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| Cites_doi | 10.1093/brain/awr243 10.1136/jnnp-2013-305515 10.1002/epi4.12066 10.1016/j.clinph.2004.06.001 10.1016/j.clinph.2009.01.011 10.1111/epi.13749 10.1155/2011/813870 10.1016/S1388-2457(02)00337-1 10.1097/00004691-200309000-00003 10.1093/brain/124.9.1683 10.1023/A:1012944913650 10.1016/j.neuroimage.2003.09.051 10.1016/j.clinph.2015.03.025 10.1016/j.nicl.2014.06.005 10.1016/j.clinph.2015.07.017 10.1111/j.1528-1167.2010.02521.x 10.1016/j.wneu.2015.10.096 10.1056/NEJM199603073341008  | 
    
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| References | Grave de Peralta Menendez, Murray, Michel, Martuzzi (b0050) 2004; 21 Baratloo, Hosseini, Negida, El Ashal (b0005) 2015; 3 Grave de Peralta Menendez, Gonzalez Andino, Lantz, Michel, Landis (b0045) 2001; 14 Engel (b0040) 1996; 334 Rosenow, Lüders (b0100) 2001; 124 van Mierlo, Strobbe, Keereman, Birot, Gadeyne, Gschwind (b0110) 2017; 2 Brodbeck, Spinelli, Lascano, Wissmeier, Vargas, Vulliémoz (b0030) 2011; 134 Smith (b0105) 2005; 76 Habib, Ibrahim, Mohktar, Kamaruzzaman, Rahmat, Lim (b0055) 2016; 88 Yamazaki, Tucker, Terrill, Fujimoto, Yamamoto (b0115) 2013; 4 Birot, Spinelli, Vulliémoz, Mégevand, Brunet, Seeck (b0015) 2014; 5 Lantz, Grave del Peralta, Spinelli, Seeck, Michel (b0065) 2003; 114 Brodbeck, Spinelli, Lascano, Pollo, Schaller, Vargas (b0025) 2010; 51 Beniczky, Duez, Scherg, Orm Hansen, Tankisi, Sidenius (b0010) 2016; 127 Nemtsas, Boirot, Pittau, Michel, Schaller, Vulliémoz (b0095) 2017; 58 National Research Council (b0090) 1996 Lantz, Spinelli, Seeck, de Peralta Menendez, Sottas, Michel (b0060) 2003; 20 Lüders, Najm, Nair, Widdess-Walsh, Bingman (b0075) 2006 Lascano, Perneger, Vulliémoz, Spinelli, Garibotto, Korff (b0070) 2016; 127 Brodbeck, Lascano, Spinelli, Seeck, Michel (b0020) 2009; 120 Michel, Murray, Lantz, Gonzalez, Spinelli, Grave de Peralta (b0085) 2004; 115 Brunet, Murray, Michel (b0035) 2011; 2011 Mégevand, Spinelli, Genetti, Brodbeck, Momjan, Shaller (b0080) 2014; 85 National Research Council (10.1016/j.cnp.2019.09.002_b0090) 1996 Lantz (10.1016/j.cnp.2019.09.002_b0060) 2003; 20 Brodbeck (10.1016/j.cnp.2019.09.002_b0025) 2010; 51 Lascano (10.1016/j.cnp.2019.09.002_b0070) 2016; 127 Brodbeck (10.1016/j.cnp.2019.09.002_b0030) 2011; 134 Michel (10.1016/j.cnp.2019.09.002_b0085) 2004; 115 Rosenow (10.1016/j.cnp.2019.09.002_b0100) 2001; 124 Yamazaki (10.1016/j.cnp.2019.09.002_b0115) 2013; 4 Habib (10.1016/j.cnp.2019.09.002_b0055) 2016; 88 Beniczky (10.1016/j.cnp.2019.09.002_b0010) 2016; 127 Nemtsas (10.1016/j.cnp.2019.09.002_b0095) 2017; 58 Grave de Peralta Menendez (10.1016/j.cnp.2019.09.002_b0050) 2004; 21 Baratloo (10.1016/j.cnp.2019.09.002_b0005) 2015; 3 Brunet (10.1016/j.cnp.2019.09.002_b0035) 2011; 2011 Mégevand (10.1016/j.cnp.2019.09.002_b0080) 2014; 85 Engel (10.1016/j.cnp.2019.09.002_b0040) 1996; 334 Lüders (10.1016/j.cnp.2019.09.002_b0075) 2006 van Mierlo (10.1016/j.cnp.2019.09.002_b0110) 2017; 2 Birot (10.1016/j.cnp.2019.09.002_b0015) 2014; 5 Brodbeck (10.1016/j.cnp.2019.09.002_b0020) 2009; 120 Grave de Peralta Menendez (10.1016/j.cnp.2019.09.002_b0045) 2001; 14 Lantz (10.1016/j.cnp.2019.09.002_b0065) 2003; 114 Smith (10.1016/j.cnp.2019.09.002_b0105) 2005; 76  | 
    
| References_xml | – volume: 2011 year: 2011 ident: b0035 article-title: Spatiotemporal analysis of multichannel EEG: CARTOOL publication-title: Comput. Intell. Neurosci. – volume: 85 start-page: 38 year: 2014 end-page: 43 ident: b0080 article-title: Electric source imaging of interictal activity accurately localises the seizure onset zone publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 76 year: 2005 ident: b0105 article-title: EEG in the diagnosis, classification and management of patients with epilepsy publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 127 start-page: 1067 year: 2016 end-page: 1072 ident: b0010 article-title: Visualizing spikes in source-space: Rapid and efficient evaluation of magnetoencephalography publication-title: Clin. Neurophysiol. – volume: 88 start-page: 576 year: 2016 end-page: 585 ident: b0055 article-title: Ictal EEG source imaging for presurgical evaluation of refractory focal epilepsy publication-title: World Neurosurg. – volume: 51 start-page: 583 year: 2010 end-page: 591 ident: b0025 article-title: Electrical source imaging for presurgical focus localization in epilepsy patients with normal MRI publication-title: Epilepsia – volume: 134 start-page: 2887 year: 2011 end-page: 2897 ident: b0030 article-title: Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients publication-title: Brain – volume: 114 start-page: 63 year: 2003 end-page: 69 ident: b0065 article-title: Epileptic source localization with high density EEG: how many electrodes are needed? publication-title: Clin. Neurophysiol. – volume: 124 start-page: 1683 year: 2001 end-page: 1700 ident: b0100 article-title: Presurgical evaluation of epilepsy publication-title: Brain – volume: 334 start-page: 647 year: 1996 end-page: 652 ident: b0040 article-title: Surgery for seizures publication-title: N. Engl. J. Med. – volume: 20 start-page: 311 year: 2003 end-page: 319 ident: b0060 article-title: Propagation of interictal epileptiform activity can lead to erroneous source localizations: a 128-channel EEG mapping study publication-title: J. Clin. Neurophysiol. – volume: 5 start-page: 77 year: 2014 end-page: 83 ident: b0015 article-title: Head model and electrical source imaging: a study of 38 epileptic patients publication-title: Neuroimage Clin. – volume: 120 start-page: 679 year: 2009 end-page: 685 ident: b0020 article-title: Accuracy of EEG source imaging of epileptic spikes in patients with large brain lesions publication-title: Clin. Neurophysiol. – start-page: S1 year: 2006 end-page: S9 ident: b0075 article-title: The epileptogenic zone: General principles publication-title: Epileptic Disord – volume: 21 start-page: 527 year: 2004 end-page: 539 ident: b0050 article-title: Gonzalez Andino SL. Electrical neuroimaging based on biophysical constraints publication-title: Neuroimage – volume: 115 start-page: 2195 year: 2004 end-page: 2222 ident: b0085 article-title: EEG source imaging publication-title: Clin. Neurophysiol. – volume: 3 start-page: 48 year: 2015 end-page: 49 ident: b0005 article-title: Part I: Simple definition and Calculation of Accuracy, Sensitivity and Specificity publication-title: Emerg (Tehran) – year: 1996 ident: b0090 article-title: Mathematics and Physics of Emerging Biomedical Imaging – volume: 14 start-page: 131 year: 2001 end-page: 137 ident: b0045 article-title: Noninvasive localization of electromagnetic epileptic activity. I. Method descriptions and simulations publication-title: Brain Topogr. – volume: 2 start-page: 322 year: 2017 end-page: 333 ident: b0110 article-title: Automated long-term EEG analysis to localize the epileptogenic zone publication-title: Epilepsia Open – volume: 4 start-page: 42 year: 2013 ident: b0115 article-title: Dense array EEG source estimation in neocortical epilepsy publication-title: Front. Neurol. – volume: 58 start-page: 1027 year: 2017 end-page: 1036 ident: b0095 article-title: Soure localization of ictal epileptic activity based on high-density scalp EEG data publication-title: Epilepsia – volume: 127 start-page: 150 year: 2016 end-page: 155 ident: b0070 article-title: Yield of MRI, high-density electric source imaging (HD-ESI), SPECT and PET in epilepsy surgery candidates publication-title: Clin. Neurophysiol. – volume: 134 start-page: 2887 year: 2011 ident: 10.1016/j.cnp.2019.09.002_b0030 article-title: Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients publication-title: Brain doi: 10.1093/brain/awr243 – year: 1996 ident: 10.1016/j.cnp.2019.09.002_b0090 – volume: 85 start-page: 38 issue: 1 year: 2014 ident: 10.1016/j.cnp.2019.09.002_b0080 article-title: Electric source imaging of interictal activity accurately localises the seizure onset zone publication-title: J. Neurol. Neurosurg. Psychiatry doi: 10.1136/jnnp-2013-305515 – volume: 2 start-page: 322 issue: 3 year: 2017 ident: 10.1016/j.cnp.2019.09.002_b0110 article-title: Automated long-term EEG analysis to localize the epileptogenic zone publication-title: Epilepsia Open doi: 10.1002/epi4.12066 – volume: 115 start-page: 2195 issue: 10 year: 2004 ident: 10.1016/j.cnp.2019.09.002_b0085 article-title: EEG source imaging publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2004.06.001 – volume: 120 start-page: 679 issue: 4 year: 2009 ident: 10.1016/j.cnp.2019.09.002_b0020 article-title: Accuracy of EEG source imaging of epileptic spikes in patients with large brain lesions publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2009.01.011 – volume: 58 start-page: 1027 year: 2017 ident: 10.1016/j.cnp.2019.09.002_b0095 article-title: Soure localization of ictal epileptic activity based on high-density scalp EEG data publication-title: Epilepsia doi: 10.1111/epi.13749 – volume: 2011 year: 2011 ident: 10.1016/j.cnp.2019.09.002_b0035 article-title: Spatiotemporal analysis of multichannel EEG: CARTOOL publication-title: Comput. Intell. Neurosci. doi: 10.1155/2011/813870 – volume: 114 start-page: 63 issue: 1 year: 2003 ident: 10.1016/j.cnp.2019.09.002_b0065 article-title: Epileptic source localization with high density EEG: how many electrodes are needed? publication-title: Clin. Neurophysiol. doi: 10.1016/S1388-2457(02)00337-1 – volume: 20 start-page: 311 issue: 5 year: 2003 ident: 10.1016/j.cnp.2019.09.002_b0060 article-title: Propagation of interictal epileptiform activity can lead to erroneous source localizations: a 128-channel EEG mapping study publication-title: J. Clin. Neurophysiol. doi: 10.1097/00004691-200309000-00003 – volume: 76 issue: Suppl 2 year: 2005 ident: 10.1016/j.cnp.2019.09.002_b0105 article-title: EEG in the diagnosis, classification and management of patients with epilepsy publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 124 start-page: 1683 year: 2001 ident: 10.1016/j.cnp.2019.09.002_b0100 article-title: Presurgical evaluation of epilepsy publication-title: Brain doi: 10.1093/brain/124.9.1683 – volume: 14 start-page: 131 issue: 2 year: 2001 ident: 10.1016/j.cnp.2019.09.002_b0045 article-title: Noninvasive localization of electromagnetic epileptic activity. I. Method descriptions and simulations publication-title: Brain Topogr. doi: 10.1023/A:1012944913650 – volume: 21 start-page: 527 issue: 2 year: 2004 ident: 10.1016/j.cnp.2019.09.002_b0050 article-title: Gonzalez Andino SL. Electrical neuroimaging based on biophysical constraints publication-title: Neuroimage doi: 10.1016/j.neuroimage.2003.09.051 – volume: 127 start-page: 150 issue: 1 year: 2016 ident: 10.1016/j.cnp.2019.09.002_b0070 article-title: Yield of MRI, high-density electric source imaging (HD-ESI), SPECT and PET in epilepsy surgery candidates publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2015.03.025 – volume: 4 start-page: 42 year: 2013 ident: 10.1016/j.cnp.2019.09.002_b0115 article-title: Dense array EEG source estimation in neocortical epilepsy publication-title: Front. Neurol. – start-page: S1 issue: Suppl 2 year: 2006 ident: 10.1016/j.cnp.2019.09.002_b0075 article-title: The epileptogenic zone: General principles publication-title: Epileptic Disord – volume: 3 start-page: 48 year: 2015 ident: 10.1016/j.cnp.2019.09.002_b0005 article-title: Part I: Simple definition and Calculation of Accuracy, Sensitivity and Specificity publication-title: Emerg (Tehran) – volume: 5 start-page: 77 year: 2014 ident: 10.1016/j.cnp.2019.09.002_b0015 article-title: Head model and electrical source imaging: a study of 38 epileptic patients publication-title: Neuroimage Clin. doi: 10.1016/j.nicl.2014.06.005 – volume: 127 start-page: 1067 issue: 2 year: 2016 ident: 10.1016/j.cnp.2019.09.002_b0010 article-title: Visualizing spikes in source-space: Rapid and efficient evaluation of magnetoencephalography publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2015.07.017 – volume: 51 start-page: 583 issue: 4 year: 2010 ident: 10.1016/j.cnp.2019.09.002_b0025 article-title: Electrical source imaging for presurgical focus localization in epilepsy patients with normal MRI publication-title: Epilepsia doi: 10.1111/j.1528-1167.2010.02521.x – volume: 88 start-page: 576 year: 2016 ident: 10.1016/j.cnp.2019.09.002_b0055 article-title: Ictal EEG source imaging for presurgical evaluation of refractory focal epilepsy publication-title: World Neurosurg. doi: 10.1016/j.wneu.2015.10.096 – volume: 334 start-page: 647 issue: 10 year: 1996 ident: 10.1016/j.cnp.2019.09.002_b0040 article-title: Surgery for seizures publication-title: N. Engl. J. Med. doi: 10.1056/NEJM199603073341008  | 
    
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| Snippet | •Visual analysis of HD-EEG is an excellent tool to explore the epileptogenic focus.•ESI remains the gold standard for presurgical evaluation of the cortical... In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable to... • Visual analysis of HD-EEG is an excellent tool to explore the epileptogenic focus. • ESI remains the gold standard for presurgical evaluation of the cortical... Objective: In this study, we sought to determine whether visual analysis of high density EEG (HD-EEG) would provide similar localizing information comparable...  | 
    
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| Title | Visual analysis of high density EEG: As good as electrical source imaging? | 
    
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