Increase trend of correlation and phase synchrony of microwire iEEG before macroseizure onset

Micro/macrowire intracranial EEG (iEEG) signals recorded from implanted micro/macroelectrodes in epileptic patients have received great attention and are considered to include much information of neuron activities in seizure transition compared to scalp EEG from cortical electrodes. Microelectrode i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cognitive neurodynamics 2014-04, Vol.8 (2), p.111-126
Hauptverfasser: Hu, Sanqing, Chi, Jianfen, Zhang, Jianhai, Kong, Wanzeng, Cao, Yu, He, Bin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 126
container_issue 2
container_start_page 111
container_title Cognitive neurodynamics
container_volume 8
creator Hu, Sanqing
Chi, Jianfen
Zhang, Jianhai
Kong, Wanzeng
Cao, Yu
He, Bin
description Micro/macrowire intracranial EEG (iEEG) signals recorded from implanted micro/macroelectrodes in epileptic patients have received great attention and are considered to include much information of neuron activities in seizure transition compared to scalp EEG from cortical electrodes. Microelectrode is contacted more close to neurons than macroelectrode and it is more sensitive to neuron activity changes than macroelectrode. Microwire iEEG recordings are inevitably advantageous over macrowire iEEG recordings to reveal neuronal mechanisms contributing to the generation of seizures. In this study, we investigate the seizure generation from microwire iEEG recordings and discuss synchronization of microwire iEEGs in four frequency bands: alpha (1−30 Hz), gamma (30−80 Hz), ripple (80–250 Hz), and fast ripple (>250 Hz) via two measures: correlation and phase synchrony. We find that an increase trend of correlation or phase synchrony exists before the macroseizure onset mostly in gamma and ripple bands where the duration of the preictal states varied in different seizures ranging up to a few seconds (minutes). This finding is contrast to the well-known result that a decrease of synchronization in macro domains exists before the macroseizure onset. The finding demonstrates that it is only when the seizure has recruited enough surrounding brain tissue does the signal become strong enough to be observed on the clinical macroelectrode and as a result support the hypothesis of progressive coalescence of microseizure domains. The potential ramifications of such an early detection of microscale seizure activity may open a new window on treatment by making possible disruption of seizure activity before it becomes fully established.
doi_str_mv 10.1007/s11571-013-9270-0
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3945461</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2918678823</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-90801b1e550ff587bfc3eb8e8c0659f0f7ef5bfd913f86ed4ea1cd6b88cae7743</originalsourceid><addsrcrecordid>eNp1kU1v1DAQhi1ERUvhB3BBkbhwCYwTO7YvSKhaSqVKXNpjZTnOuOsqsRc7AS2_Hkdblg-Jk8czz7ye8UvIKwrvKIB4nynlgtZA21o1Amp4Qs6oLBkGSj09xhJOyfOcHwB4Jyl7Rk4b1jWsaekZubsKNqHJWM0Jw1BFV9mYEo5m9jFUpqR227Wc98FuUwz7FZm8TfG7T1j5zeay6tHFEk-mZDP6H0u5xJBxfkFOnBkzvnw8z8ntp83Nxef6-svl1cXH69oyAXOtyoi0p8g5OMel6J1tsZcoLXRcOXACHe_doGjrZIcDQ0Pt0PVSWoNCsPacfDjo7pZ-wsFimJMZ9S75yaS9jsbrvyvBb_V9_KZbxTjraBF4-yiQ4tcF86wnny2OowkYl6wpByEUqFYV9M0_6ENcUijr6UZR2Qkpm7ZQ9ECtX5ITuuMwFPRqnj6Yp4t5ejVPQ-l5_ecWx45fbhWgOQC5lMI9pt9P_1_1J_Tjpv0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918678823</pqid></control><display><type>article</type><title>Increase trend of correlation and phase synchrony of microwire iEEG before macroseizure onset</title><source>SpringerLink Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>ProQuest Central</source><creator>Hu, Sanqing ; Chi, Jianfen ; Zhang, Jianhai ; Kong, Wanzeng ; Cao, Yu ; He, Bin</creator><creatorcontrib>Hu, Sanqing ; Chi, Jianfen ; Zhang, Jianhai ; Kong, Wanzeng ; Cao, Yu ; He, Bin</creatorcontrib><description>Micro/macrowire intracranial EEG (iEEG) signals recorded from implanted micro/macroelectrodes in epileptic patients have received great attention and are considered to include much information of neuron activities in seizure transition compared to scalp EEG from cortical electrodes. Microelectrode is contacted more close to neurons than macroelectrode and it is more sensitive to neuron activity changes than macroelectrode. Microwire iEEG recordings are inevitably advantageous over macrowire iEEG recordings to reveal neuronal mechanisms contributing to the generation of seizures. In this study, we investigate the seizure generation from microwire iEEG recordings and discuss synchronization of microwire iEEGs in four frequency bands: alpha (1−30 Hz), gamma (30−80 Hz), ripple (80–250 Hz), and fast ripple (&gt;250 Hz) via two measures: correlation and phase synchrony. We find that an increase trend of correlation or phase synchrony exists before the macroseizure onset mostly in gamma and ripple bands where the duration of the preictal states varied in different seizures ranging up to a few seconds (minutes). This finding is contrast to the well-known result that a decrease of synchronization in macro domains exists before the macroseizure onset. The finding demonstrates that it is only when the seizure has recruited enough surrounding brain tissue does the signal become strong enough to be observed on the clinical macroelectrode and as a result support the hypothesis of progressive coalescence of microseizure domains. The potential ramifications of such an early detection of microscale seizure activity may open a new window on treatment by making possible disruption of seizure activity before it becomes fully established.</description><identifier>ISSN: 1871-4080</identifier><identifier>EISSN: 1871-4099</identifier><identifier>DOI: 10.1007/s11571-013-9270-0</identifier><identifier>PMID: 24624231</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Artificial Intelligence ; Biochemistry ; Biomedical and Life Sciences ; Biomedicine ; Cognitive Psychology ; Computer Science ; Convulsions &amp; seizures ; Correlation ; EEG ; Electrodes ; Electroencephalography ; Epilepsy ; Frequencies ; Microelectrodes ; Neurosciences ; Research Article ; Ripples ; Seizures ; Synchronism ; Synchronization</subject><ispartof>Cognitive neurodynamics, 2014-04, Vol.8 (2), p.111-126</ispartof><rights>Springer Science+Business Media Dordrecht 2013</rights><rights>Springer Science+Business Media Dordrecht 2013.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-90801b1e550ff587bfc3eb8e8c0659f0f7ef5bfd913f86ed4ea1cd6b88cae7743</citedby><cites>FETCH-LOGICAL-c470t-90801b1e550ff587bfc3eb8e8c0659f0f7ef5bfd913f86ed4ea1cd6b88cae7743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945461/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918678823?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,21367,27901,27902,33721,33722,41464,42533,43781,51294,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24624231$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Sanqing</creatorcontrib><creatorcontrib>Chi, Jianfen</creatorcontrib><creatorcontrib>Zhang, Jianhai</creatorcontrib><creatorcontrib>Kong, Wanzeng</creatorcontrib><creatorcontrib>Cao, Yu</creatorcontrib><creatorcontrib>He, Bin</creatorcontrib><title>Increase trend of correlation and phase synchrony of microwire iEEG before macroseizure onset</title><title>Cognitive neurodynamics</title><addtitle>Cogn Neurodyn</addtitle><addtitle>Cogn Neurodyn</addtitle><description>Micro/macrowire intracranial EEG (iEEG) signals recorded from implanted micro/macroelectrodes in epileptic patients have received great attention and are considered to include much information of neuron activities in seizure transition compared to scalp EEG from cortical electrodes. Microelectrode is contacted more close to neurons than macroelectrode and it is more sensitive to neuron activity changes than macroelectrode. Microwire iEEG recordings are inevitably advantageous over macrowire iEEG recordings to reveal neuronal mechanisms contributing to the generation of seizures. In this study, we investigate the seizure generation from microwire iEEG recordings and discuss synchronization of microwire iEEGs in four frequency bands: alpha (1−30 Hz), gamma (30−80 Hz), ripple (80–250 Hz), and fast ripple (&gt;250 Hz) via two measures: correlation and phase synchrony. We find that an increase trend of correlation or phase synchrony exists before the macroseizure onset mostly in gamma and ripple bands where the duration of the preictal states varied in different seizures ranging up to a few seconds (minutes). This finding is contrast to the well-known result that a decrease of synchronization in macro domains exists before the macroseizure onset. The finding demonstrates that it is only when the seizure has recruited enough surrounding brain tissue does the signal become strong enough to be observed on the clinical macroelectrode and as a result support the hypothesis of progressive coalescence of microseizure domains. The potential ramifications of such an early detection of microscale seizure activity may open a new window on treatment by making possible disruption of seizure activity before it becomes fully established.</description><subject>Artificial Intelligence</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cognitive Psychology</subject><subject>Computer Science</subject><subject>Convulsions &amp; seizures</subject><subject>Correlation</subject><subject>EEG</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Epilepsy</subject><subject>Frequencies</subject><subject>Microelectrodes</subject><subject>Neurosciences</subject><subject>Research Article</subject><subject>Ripples</subject><subject>Seizures</subject><subject>Synchronism</subject><subject>Synchronization</subject><issn>1871-4080</issn><issn>1871-4099</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kU1v1DAQhi1ERUvhB3BBkbhwCYwTO7YvSKhaSqVKXNpjZTnOuOsqsRc7AS2_Hkdblg-Jk8czz7ye8UvIKwrvKIB4nynlgtZA21o1Amp4Qs6oLBkGSj09xhJOyfOcHwB4Jyl7Rk4b1jWsaekZubsKNqHJWM0Jw1BFV9mYEo5m9jFUpqR227Wc98FuUwz7FZm8TfG7T1j5zeay6tHFEk-mZDP6H0u5xJBxfkFOnBkzvnw8z8ntp83Nxef6-svl1cXH69oyAXOtyoi0p8g5OMel6J1tsZcoLXRcOXACHe_doGjrZIcDQ0Pt0PVSWoNCsPacfDjo7pZ-wsFimJMZ9S75yaS9jsbrvyvBb_V9_KZbxTjraBF4-yiQ4tcF86wnny2OowkYl6wpByEUqFYV9M0_6ENcUijr6UZR2Qkpm7ZQ9ECtX5ITuuMwFPRqnj6Yp4t5ejVPQ-l5_ecWx45fbhWgOQC5lMI9pt9P_1_1J_Tjpv0</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Hu, Sanqing</creator><creator>Chi, Jianfen</creator><creator>Zhang, Jianhai</creator><creator>Kong, Wanzeng</creator><creator>Cao, Yu</creator><creator>He, Bin</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140401</creationdate><title>Increase trend of correlation and phase synchrony of microwire iEEG before macroseizure onset</title><author>Hu, Sanqing ; Chi, Jianfen ; Zhang, Jianhai ; Kong, Wanzeng ; Cao, Yu ; He, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-90801b1e550ff587bfc3eb8e8c0659f0f7ef5bfd913f86ed4ea1cd6b88cae7743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Artificial Intelligence</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cognitive Psychology</topic><topic>Computer Science</topic><topic>Convulsions &amp; seizures</topic><topic>Correlation</topic><topic>EEG</topic><topic>Electrodes</topic><topic>Electroencephalography</topic><topic>Epilepsy</topic><topic>Frequencies</topic><topic>Microelectrodes</topic><topic>Neurosciences</topic><topic>Research Article</topic><topic>Ripples</topic><topic>Seizures</topic><topic>Synchronism</topic><topic>Synchronization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Sanqing</creatorcontrib><creatorcontrib>Chi, Jianfen</creatorcontrib><creatorcontrib>Zhang, Jianhai</creatorcontrib><creatorcontrib>Kong, Wanzeng</creatorcontrib><creatorcontrib>Cao, Yu</creatorcontrib><creatorcontrib>He, Bin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cognitive neurodynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Sanqing</au><au>Chi, Jianfen</au><au>Zhang, Jianhai</au><au>Kong, Wanzeng</au><au>Cao, Yu</au><au>He, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Increase trend of correlation and phase synchrony of microwire iEEG before macroseizure onset</atitle><jtitle>Cognitive neurodynamics</jtitle><stitle>Cogn Neurodyn</stitle><addtitle>Cogn Neurodyn</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>8</volume><issue>2</issue><spage>111</spage><epage>126</epage><pages>111-126</pages><issn>1871-4080</issn><eissn>1871-4099</eissn><abstract>Micro/macrowire intracranial EEG (iEEG) signals recorded from implanted micro/macroelectrodes in epileptic patients have received great attention and are considered to include much information of neuron activities in seizure transition compared to scalp EEG from cortical electrodes. Microelectrode is contacted more close to neurons than macroelectrode and it is more sensitive to neuron activity changes than macroelectrode. Microwire iEEG recordings are inevitably advantageous over macrowire iEEG recordings to reveal neuronal mechanisms contributing to the generation of seizures. In this study, we investigate the seizure generation from microwire iEEG recordings and discuss synchronization of microwire iEEGs in four frequency bands: alpha (1−30 Hz), gamma (30−80 Hz), ripple (80–250 Hz), and fast ripple (&gt;250 Hz) via two measures: correlation and phase synchrony. We find that an increase trend of correlation or phase synchrony exists before the macroseizure onset mostly in gamma and ripple bands where the duration of the preictal states varied in different seizures ranging up to a few seconds (minutes). This finding is contrast to the well-known result that a decrease of synchronization in macro domains exists before the macroseizure onset. The finding demonstrates that it is only when the seizure has recruited enough surrounding brain tissue does the signal become strong enough to be observed on the clinical macroelectrode and as a result support the hypothesis of progressive coalescence of microseizure domains. The potential ramifications of such an early detection of microscale seizure activity may open a new window on treatment by making possible disruption of seizure activity before it becomes fully established.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>24624231</pmid><doi>10.1007/s11571-013-9270-0</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1871-4080
ispartof Cognitive neurodynamics, 2014-04, Vol.8 (2), p.111-126
issn 1871-4080
1871-4099
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3945461
source SpringerLink Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; ProQuest Central
subjects Artificial Intelligence
Biochemistry
Biomedical and Life Sciences
Biomedicine
Cognitive Psychology
Computer Science
Convulsions & seizures
Correlation
EEG
Electrodes
Electroencephalography
Epilepsy
Frequencies
Microelectrodes
Neurosciences
Research Article
Ripples
Seizures
Synchronism
Synchronization
title Increase trend of correlation and phase synchrony of microwire iEEG before macroseizure onset
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T23%3A13%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Increase%20trend%20of%20correlation%20and%20phase%20synchrony%20of%20microwire%20iEEG%20before%20macroseizure%20onset&rft.jtitle=Cognitive%20neurodynamics&rft.au=Hu,%20Sanqing&rft.date=2014-04-01&rft.volume=8&rft.issue=2&rft.spage=111&rft.epage=126&rft.pages=111-126&rft.issn=1871-4080&rft.eissn=1871-4099&rft_id=info:doi/10.1007/s11571-013-9270-0&rft_dat=%3Cproquest_pubme%3E2918678823%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2918678823&rft_id=info:pmid/24624231&rfr_iscdi=true