Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy

Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy

Purpose: Routine electroencephalogram (EEG) examinations uses intermittent photic stimulation (IPS) for investigation of the visual cortex EEG responses during resting time. This study aimed to discover brain dynamics effects of IPS in 28 generalized epilepsy patients and 28 healthy subjects. Method...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Journal of Online and Biomedical Engineering 2022-01, Vol.18 (5), p.80-95
Hauptverfasser: Najafi, Tahereh, Jaafar, Rosmina, Remli, Rabani, Wan Zaidi, Wan Asyraf, Chellappan, Kalaivani
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 95
container_issue 5
container_start_page 80
container_title International Journal of Online and Biomedical Engineering
container_volume 18
creator Najafi, Tahereh
Jaafar, Rosmina
Remli, Rabani
Wan Zaidi, Wan Asyraf
Chellappan, Kalaivani
description Purpose: Routine electroencephalogram (EEG) examinations uses intermittent photic stimulation (IPS) for investigation of the visual cortex EEG responses during resting time. This study aimed to discover brain dynamics effects of IPS in 28 generalized epilepsy patients and 28 healthy subjects. Methodology: Signal processing techniques were used in feature extraction by Fast Fourier transform (FFT), feature dimension reduction by t-test (significant, p
doi_str_mv 10.3991/ijoe.v18i05.27647
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_3991_ijoe_v18i05_27647</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_3991_ijoe_v18i05_27647</sourcerecordid><originalsourceid>FETCH-LOGICAL-c245t-d0b9a931b6bc8ae8c0e51dd5f0eb8defb3c9884996baaed5627b276732e224a43</originalsourceid><addsrcrecordid>eNpNkEtLxDAcxIMouKz7Abz1C7Tm0aTJUddVCwuKj3NI0n8xS18kUei3d-t68DRzGIaZH0LXBBdMKXLjDyMU30R6zAtaibI6QysqqMhlqdj5P3-JNjEeMMaUE0oEXqH6Lhg_ZPfzYHrvYnb0rxCncYiQpTGrhwSh9ynBkLKXzzF5l70l3391JvlxWOK7yXcwxfkKXbSmi7D50zX6eNi9b5_y_fNjvb3d546WPOUNtsooRqywThqQDgMnTcNbDFY20FrmlDxuVcIaAw0XtLLHTxWjQGlpSrZG5NTrwhhjgFZPwfcmzJpgveDQCw59wqF_cbAfRVBV_g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy</title><source>Alma/SFX Local Collection</source><creator>Najafi, Tahereh ; Jaafar, Rosmina ; Remli, Rabani ; Wan Zaidi, Wan Asyraf ; Chellappan, Kalaivani</creator><creatorcontrib>Najafi, Tahereh ; Jaafar, Rosmina ; Remli, Rabani ; Wan Zaidi, Wan Asyraf ; Chellappan, Kalaivani</creatorcontrib><description>Purpose: Routine electroencephalogram (EEG) examinations uses intermittent photic stimulation (IPS) for investigation of the visual cortex EEG responses during resting time. This study aimed to discover brain dynamics effects of IPS in 28 generalized epilepsy patients and 28 healthy subjects. Methodology: Signal processing techniques were used in feature extraction by Fast Fourier transform (FFT), feature dimension reduction by t-test (significant, p&lt;0.05) and classification by nearest neighbor (k-NN) and support vector machine (SVM). Results: The epilepsy group had higher level of amplitude in Theta waves compared to the healthy group. The Alpha waves in the resting time and for all IPS frequencies were observed with lower level of amplitude in healthy subjects compared to the epilepsy group. The k-NN (85.7% accuracy) classifier had the best discrimination of epilepsy from healthy group for resting time versus during IPS at 18 Hz IPS. However, using SVM (75.0% accuracy), IPS at 25 Hz yielded the best discrimination between resting time versus IPS in epilepsy where the healthy group responded similarly in all IPS frequencies. Conclusions: This study shows that IPS at 18 Hz and 25 Hz are suitable IPS frequencies for k-NN and SVM, respectively, to discriminate non-photosensitive generalized epilepsy from normal subjects during interictal.</description><identifier>ISSN: 2626-8493</identifier><identifier>EISSN: 2626-8493</identifier><identifier>DOI: 10.3991/ijoe.v18i05.27647</identifier><language>eng</language><ispartof>International Journal of Online and Biomedical Engineering, 2022-01, Vol.18 (5), p.80-95</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c245t-d0b9a931b6bc8ae8c0e51dd5f0eb8defb3c9884996baaed5627b276732e224a43</citedby><orcidid>0000-0003-1692-3558</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Najafi, Tahereh</creatorcontrib><creatorcontrib>Jaafar, Rosmina</creatorcontrib><creatorcontrib>Remli, Rabani</creatorcontrib><creatorcontrib>Wan Zaidi, Wan Asyraf</creatorcontrib><creatorcontrib>Chellappan, Kalaivani</creatorcontrib><title>Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy</title><title>International Journal of Online and Biomedical Engineering</title><description>Purpose: Routine electroencephalogram (EEG) examinations uses intermittent photic stimulation (IPS) for investigation of the visual cortex EEG responses during resting time. This study aimed to discover brain dynamics effects of IPS in 28 generalized epilepsy patients and 28 healthy subjects. Methodology: Signal processing techniques were used in feature extraction by Fast Fourier transform (FFT), feature dimension reduction by t-test (significant, p&lt;0.05) and classification by nearest neighbor (k-NN) and support vector machine (SVM). Results: The epilepsy group had higher level of amplitude in Theta waves compared to the healthy group. The Alpha waves in the resting time and for all IPS frequencies were observed with lower level of amplitude in healthy subjects compared to the epilepsy group. The k-NN (85.7% accuracy) classifier had the best discrimination of epilepsy from healthy group for resting time versus during IPS at 18 Hz IPS. However, using SVM (75.0% accuracy), IPS at 25 Hz yielded the best discrimination between resting time versus IPS in epilepsy where the healthy group responded similarly in all IPS frequencies. Conclusions: This study shows that IPS at 18 Hz and 25 Hz are suitable IPS frequencies for k-NN and SVM, respectively, to discriminate non-photosensitive generalized epilepsy from normal subjects during interictal.</description><issn>2626-8493</issn><issn>2626-8493</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpNkEtLxDAcxIMouKz7Abz1C7Tm0aTJUddVCwuKj3NI0n8xS18kUei3d-t68DRzGIaZH0LXBBdMKXLjDyMU30R6zAtaibI6QysqqMhlqdj5P3-JNjEeMMaUE0oEXqH6Lhg_ZPfzYHrvYnb0rxCncYiQpTGrhwSh9ynBkLKXzzF5l70l3391JvlxWOK7yXcwxfkKXbSmi7D50zX6eNi9b5_y_fNjvb3d546WPOUNtsooRqywThqQDgMnTcNbDFY20FrmlDxuVcIaAw0XtLLHTxWjQGlpSrZG5NTrwhhjgFZPwfcmzJpgveDQCw59wqF_cbAfRVBV_g</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Najafi, Tahereh</creator><creator>Jaafar, Rosmina</creator><creator>Remli, Rabani</creator><creator>Wan Zaidi, Wan Asyraf</creator><creator>Chellappan, Kalaivani</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-1692-3558</orcidid></search><sort><creationdate>20220101</creationdate><title>Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy</title><author>Najafi, Tahereh ; Jaafar, Rosmina ; Remli, Rabani ; Wan Zaidi, Wan Asyraf ; Chellappan, Kalaivani</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c245t-d0b9a931b6bc8ae8c0e51dd5f0eb8defb3c9884996baaed5627b276732e224a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Najafi, Tahereh</creatorcontrib><creatorcontrib>Jaafar, Rosmina</creatorcontrib><creatorcontrib>Remli, Rabani</creatorcontrib><creatorcontrib>Wan Zaidi, Wan Asyraf</creatorcontrib><creatorcontrib>Chellappan, Kalaivani</creatorcontrib><collection>CrossRef</collection><jtitle>International Journal of Online and Biomedical Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Najafi, Tahereh</au><au>Jaafar, Rosmina</au><au>Remli, Rabani</au><au>Wan Zaidi, Wan Asyraf</au><au>Chellappan, Kalaivani</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy</atitle><jtitle>International Journal of Online and Biomedical Engineering</jtitle><date>2022-01-01</date><risdate>2022</risdate><volume>18</volume><issue>5</issue><spage>80</spage><epage>95</epage><pages>80-95</pages><issn>2626-8493</issn><eissn>2626-8493</eissn><abstract>Purpose: Routine electroencephalogram (EEG) examinations uses intermittent photic stimulation (IPS) for investigation of the visual cortex EEG responses during resting time. This study aimed to discover brain dynamics effects of IPS in 28 generalized epilepsy patients and 28 healthy subjects. Methodology: Signal processing techniques were used in feature extraction by Fast Fourier transform (FFT), feature dimension reduction by t-test (significant, p&lt;0.05) and classification by nearest neighbor (k-NN) and support vector machine (SVM). Results: The epilepsy group had higher level of amplitude in Theta waves compared to the healthy group. The Alpha waves in the resting time and for all IPS frequencies were observed with lower level of amplitude in healthy subjects compared to the epilepsy group. The k-NN (85.7% accuracy) classifier had the best discrimination of epilepsy from healthy group for resting time versus during IPS at 18 Hz IPS. However, using SVM (75.0% accuracy), IPS at 25 Hz yielded the best discrimination between resting time versus IPS in epilepsy where the healthy group responded similarly in all IPS frequencies. Conclusions: This study shows that IPS at 18 Hz and 25 Hz are suitable IPS frequencies for k-NN and SVM, respectively, to discriminate non-photosensitive generalized epilepsy from normal subjects during interictal.</abstract><doi>10.3991/ijoe.v18i05.27647</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-1692-3558</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2626-8493
ispartof International Journal of Online and Biomedical Engineering, 2022-01, Vol.18 (5), p.80-95
issn 2626-8493
2626-8493
language eng
recordid cdi_crossref_primary_10_3991_ijoe_v18i05_27647
source Alma/SFX Local Collection
title Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T17%3A59%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Brain%20Dynamics%20in%20Response%20to%20Intermittent%20Photic%20Stimulation%20in%20Epilepsy&rft.jtitle=International%20Journal%20of%20Online%20and%20Biomedical%20Engineering&rft.au=Najafi,%20Tahereh&rft.date=2022-01-01&rft.volume=18&rft.issue=5&rft.spage=80&rft.epage=95&rft.pages=80-95&rft.issn=2626-8493&rft.eissn=2626-8493&rft_id=info:doi/10.3991/ijoe.v18i05.27647&rft_dat=%3Ccrossref%3E10_3991_ijoe_v18i05_27647%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true