Comparison of novel computer detectors and human performance for spike detection in intracranial EEG
Abstract Objective Interictal spikes in intracranial EEG (iEEG) may correlate with epileptogenic cortex, but review of interictal iEEG is labor intensive. Accurate automated spike detectors are necessary for understanding the role of spikes in epileptogenesis. Methods The sensitivity, accuracy and r...
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| Veröffentlicht in: | Clinical neurophysiology 2007-08, Vol.118 (8), p.1744-1752 |
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| creator | Brown, Merritt W Porter, Brenda E Dlugos, Dennis J Keating, Jeff Gardner, Andrew B Storm, Phillip B Marsh, Eric D |
| description | Abstract Objective Interictal spikes in intracranial EEG (iEEG) may correlate with epileptogenic cortex, but review of interictal iEEG is labor intensive. Accurate automated spike detectors are necessary for understanding the role of spikes in epileptogenesis. Methods The sensitivity, accuracy and reproducibility of three automated iEEG spike detectors were compared against two human EEG readers using iEEG segments from eight patients. A consensus set of detections was generated for detector calibration. Spike verification was calculated after both human EEG readers independently reviewed all detections. Results Humans and two of the three automated detectors demonstrated comparable accuracy. In four patients, automated spike detection sensitivity was >70% and accuracy was >50%. In the remaining four patients, EEG background morphology resulted in poorer performance. Blinded human verification accuracy was 76.7 ± 6.6% for computer-detected spikes, and 84.5 ± 4.1% for human-detected spikes. Conclusions Automated iEEG spike detectors perform comparably to humans, but sensitivity and accuracy are patient dependent. Humans verified the majority of computer-detected spikes. Significance In some patients automated detectors may be used for mapping spike occurrences in epileptic networks. This may reveal associations between spike distribution, seizure onset, and pathology. |
| doi_str_mv | 10.1016/j.clinph.2007.04.017 |
| format | Article |
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Accurate automated spike detectors are necessary for understanding the role of spikes in epileptogenesis. Methods The sensitivity, accuracy and reproducibility of three automated iEEG spike detectors were compared against two human EEG readers using iEEG segments from eight patients. A consensus set of detections was generated for detector calibration. Spike verification was calculated after both human EEG readers independently reviewed all detections. Results Humans and two of the three automated detectors demonstrated comparable accuracy. In four patients, automated spike detection sensitivity was >70% and accuracy was >50%. In the remaining four patients, EEG background morphology resulted in poorer performance. Blinded human verification accuracy was 76.7 ± 6.6% for computer-detected spikes, and 84.5 ± 4.1% for human-detected spikes. Conclusions Automated iEEG spike detectors perform comparably to humans, but sensitivity and accuracy are patient dependent. Humans verified the majority of computer-detected spikes. Significance In some patients automated detectors may be used for mapping spike occurrences in epileptic networks. This may reveal associations between spike distribution, seizure onset, and pathology.</description><identifier>ISSN: 1388-2457</identifier><identifier>EISSN: 1872-8952</identifier><identifier>DOI: 10.1016/j.clinph.2007.04.017</identifier><identifier>PMID: 17544322</identifier><language>eng</language><publisher>Shannon: Elsevier Ireland Ltd</publisher><subject>Action Potentials ; Adolescent ; Adult ; Biological and medical sciences ; Brain - physiopathology ; Child ; Child, Preschool ; Diagnosis, Computer-Assisted - standards ; Electrodiagnosis. Electric activity recording ; Electroencephalography ; Epilepsy - diagnosis ; Female ; Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy ; Health Personnel ; Humans ; Intracranial EEG ; Investigative techniques, diagnostic techniques (general aspects) ; Male ; Medical sciences ; Nervous system ; Nervous system (semeiology, syndromes) ; Neurology ; Reliability ; Reproducibility ; Reproducibility of Results ; Sensitivity and Specificity ; Spike detection</subject><ispartof>Clinical neurophysiology, 2007-08, Vol.118 (8), p.1744-1752</ispartof><rights>International Federation of Clinical Neurophysiology</rights><rights>2007 International Federation of Clinical Neurophysiology</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-9af97324e8d0835fb13a1ba61251d2fd43112d35ce16926ad983d7a9a0d826a93</citedby><cites>FETCH-LOGICAL-c445t-9af97324e8d0835fb13a1ba61251d2fd43112d35ce16926ad983d7a9a0d826a93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.clinph.2007.04.017$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18925765$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17544322$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brown, Merritt W</creatorcontrib><creatorcontrib>Porter, Brenda E</creatorcontrib><creatorcontrib>Dlugos, Dennis J</creatorcontrib><creatorcontrib>Keating, Jeff</creatorcontrib><creatorcontrib>Gardner, Andrew B</creatorcontrib><creatorcontrib>Storm, Phillip B</creatorcontrib><creatorcontrib>Marsh, Eric D</creatorcontrib><title>Comparison of novel computer detectors and human performance for spike detection in intracranial EEG</title><title>Clinical neurophysiology</title><addtitle>Clin Neurophysiol</addtitle><description>Abstract Objective Interictal spikes in intracranial EEG (iEEG) may correlate with epileptogenic cortex, but review of interictal iEEG is labor intensive. Accurate automated spike detectors are necessary for understanding the role of spikes in epileptogenesis. Methods The sensitivity, accuracy and reproducibility of three automated iEEG spike detectors were compared against two human EEG readers using iEEG segments from eight patients. A consensus set of detections was generated for detector calibration. Spike verification was calculated after both human EEG readers independently reviewed all detections. Results Humans and two of the three automated detectors demonstrated comparable accuracy. In four patients, automated spike detection sensitivity was >70% and accuracy was >50%. In the remaining four patients, EEG background morphology resulted in poorer performance. Blinded human verification accuracy was 76.7 ± 6.6% for computer-detected spikes, and 84.5 ± 4.1% for human-detected spikes. Conclusions Automated iEEG spike detectors perform comparably to humans, but sensitivity and accuracy are patient dependent. Humans verified the majority of computer-detected spikes. Significance In some patients automated detectors may be used for mapping spike occurrences in epileptic networks. This may reveal associations between spike distribution, seizure onset, and pathology.</description><subject>Action Potentials</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Brain - physiopathology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Diagnosis, Computer-Assisted - standards</subject><subject>Electrodiagnosis. Electric activity recording</subject><subject>Electroencephalography</subject><subject>Epilepsy - diagnosis</subject><subject>Female</subject><subject>Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy</subject><subject>Health Personnel</subject><subject>Humans</subject><subject>Intracranial EEG</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Nervous system</subject><subject>Nervous system (semeiology, syndromes)</subject><subject>Neurology</subject><subject>Reliability</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Spike detection</subject><issn>1388-2457</issn><issn>1872-8952</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkk1r3DAQhk1paNK0_6AUXZqbHX3Zki-FsmzSQCCHtmehlcZEG9tyJTuQf58xawj0UhBoJJ55JR6mKL4wWjHKmutj5fowTo8Vp1RVVFaUqXfFBdOKl7qt-XushdYll7U6Lz7mfKQIUsk_FOdM1VIKzi8Kv4vDZFPIcSSxI2N8hp44vFtmSMTDDG6OKRM7evK4DHYkE6QuJqwcECxInsITbGTAlLCuOVmX7BhsT_b720_FWWf7DJ-3_bL4c7P_vftZ3j_c3u1-3JdOynouW9u1SnAJ2lMt6u7AhGUH2zBeM887LwVj3IvaAWta3ljfauGVbS31Go-tuCyuTrlTin8XyLMZQnbQ93aEuGSjqMIsLRCUJ9ClmHOCzkwpDDa9GEbNatcczcmuWe0aKg3axbavW_5yGMC_NW06Efi2ATY723eowIX8xumW16qpkft-4gBtPAdIJrsAaNSHhBqNj-F_P_k3YIUCvvkEL5CPcUkjmjbMZG6o-bVOwjoIOACY2TTiFTI2r4E</recordid><startdate>20070801</startdate><enddate>20070801</enddate><creator>Brown, Merritt W</creator><creator>Porter, Brenda E</creator><creator>Dlugos, Dennis J</creator><creator>Keating, Jeff</creator><creator>Gardner, Andrew B</creator><creator>Storm, Phillip B</creator><creator>Marsh, Eric D</creator><general>Elsevier Ireland Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20070801</creationdate><title>Comparison of novel computer detectors and human performance for spike detection in intracranial EEG</title><author>Brown, Merritt W ; Porter, Brenda E ; Dlugos, Dennis J ; Keating, Jeff ; Gardner, Andrew B ; Storm, Phillip B ; Marsh, Eric D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-9af97324e8d0835fb13a1ba61251d2fd43112d35ce16926ad983d7a9a0d826a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Action Potentials</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Biological and medical sciences</topic><topic>Brain - physiopathology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Diagnosis, Computer-Assisted - standards</topic><topic>Electrodiagnosis. Electric activity recording</topic><topic>Electroencephalography</topic><topic>Epilepsy - diagnosis</topic><topic>Female</topic><topic>Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy</topic><topic>Health Personnel</topic><topic>Humans</topic><topic>Intracranial EEG</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Nervous system</topic><topic>Nervous system (semeiology, syndromes)</topic><topic>Neurology</topic><topic>Reliability</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Spike detection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brown, Merritt W</creatorcontrib><creatorcontrib>Porter, Brenda E</creatorcontrib><creatorcontrib>Dlugos, Dennis J</creatorcontrib><creatorcontrib>Keating, Jeff</creatorcontrib><creatorcontrib>Gardner, Andrew B</creatorcontrib><creatorcontrib>Storm, Phillip B</creatorcontrib><creatorcontrib>Marsh, Eric D</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical neurophysiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brown, Merritt W</au><au>Porter, Brenda E</au><au>Dlugos, Dennis J</au><au>Keating, Jeff</au><au>Gardner, Andrew B</au><au>Storm, Phillip B</au><au>Marsh, Eric D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of novel computer detectors and human performance for spike detection in intracranial EEG</atitle><jtitle>Clinical neurophysiology</jtitle><addtitle>Clin Neurophysiol</addtitle><date>2007-08-01</date><risdate>2007</risdate><volume>118</volume><issue>8</issue><spage>1744</spage><epage>1752</epage><pages>1744-1752</pages><issn>1388-2457</issn><eissn>1872-8952</eissn><abstract>Abstract Objective Interictal spikes in intracranial EEG (iEEG) may correlate with epileptogenic cortex, but review of interictal iEEG is labor intensive. Accurate automated spike detectors are necessary for understanding the role of spikes in epileptogenesis. Methods The sensitivity, accuracy and reproducibility of three automated iEEG spike detectors were compared against two human EEG readers using iEEG segments from eight patients. A consensus set of detections was generated for detector calibration. Spike verification was calculated after both human EEG readers independently reviewed all detections. Results Humans and two of the three automated detectors demonstrated comparable accuracy. In four patients, automated spike detection sensitivity was >70% and accuracy was >50%. In the remaining four patients, EEG background morphology resulted in poorer performance. Blinded human verification accuracy was 76.7 ± 6.6% for computer-detected spikes, and 84.5 ± 4.1% for human-detected spikes. Conclusions Automated iEEG spike detectors perform comparably to humans, but sensitivity and accuracy are patient dependent. Humans verified the majority of computer-detected spikes. Significance In some patients automated detectors may be used for mapping spike occurrences in epileptic networks. This may reveal associations between spike distribution, seizure onset, and pathology.</abstract><cop>Shannon</cop><pub>Elsevier Ireland Ltd</pub><pmid>17544322</pmid><doi>10.1016/j.clinph.2007.04.017</doi><tpages>9</tpages></addata></record> |
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| subjects | Action Potentials Adolescent Adult Biological and medical sciences Brain - physiopathology Child Child, Preschool Diagnosis, Computer-Assisted - standards Electrodiagnosis. Electric activity recording Electroencephalography Epilepsy - diagnosis Female Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy Health Personnel Humans Intracranial EEG Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Nervous system Nervous system (semeiology, syndromes) Neurology Reliability Reproducibility Reproducibility of Results Sensitivity and Specificity Spike detection |
| title | Comparison of novel computer detectors and human performance for spike detection in intracranial EEG |
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