The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging

Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges. We investigated if electrical source imaging (ESI) performed on the interictal epileptiform discharges (IED) acquired...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.46 (3), p.834-843
Hauptverfasser: Vulliemoz, S., Thornton, R., Rodionov, R., Carmichael, D.W., Guye, M., Lhatoo, S., McEvoy, A.W., Spinelli, L., Michel, C.M., Duncan, J.S., Lemieux, L.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 843
container_issue 3
container_start_page 834
container_title NeuroImage (Orlando, Fla.)
container_volume 46
creator Vulliemoz, S.
Thornton, R.
Rodionov, R.
Carmichael, D.W.
Guye, M.
Lhatoo, S.
McEvoy, A.W.
Spinelli, L.
Michel, C.M.
Duncan, J.S.
Lemieux, L.
description Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges. We investigated if electrical source imaging (ESI) performed on the interictal epileptiform discharges (IED) acquired during fMRI acquisition could be used to study the dynamics of the networks identified by the BOLD effect, thereby avoiding the limitations of combining results from separate recordings. Nine selected patients (13 IED types identified) with focal epilepsy underwent EEG–fMRI. Statistical analysis was performed using SPM5 to create BOLD maps. ESI was performed on the IED recorded during fMRI acquisition using a realistic head model (SMAC) and a distributed linear inverse solution (LAURA). ESI could not be performed in one case. In 10/12 remaining studies, ESI at IED onset (ESIo) was anatomically close to one BOLD cluster. Interestingly, ESIo was closest to the positive BOLD cluster with maximal statistical significance in only 4/12 cases and closest to negative BOLD responses in 4/12 cases. Very small BOLD clusters could also have clinical relevance in some cases. ESI at later time frame (ESIp) showed propagation to remote sources co-localised with other BOLD clusters in half of cases. In concordant cases, the distance between maxima of ESI and the closest EEG–fMRI cluster was less than 33 mm, in agreement with previous studies. We conclude that simultaneous ESI and EEG–fMRI analysis may be able to distinguish areas of BOLD response related to initiation of IED from propagation areas. This combination provides new opportunities for investigating epileptic networks.
doi_str_mv 10.1016/j.neuroimage.2009.01.070
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2977852</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1053811909001396</els_id><sourcerecordid>67178810</sourcerecordid><originalsourceid>FETCH-LOGICAL-c536t-c72919ece51679448b49f190bdb01b31e488db23797bd2150972261f350d03af3</originalsourceid><addsrcrecordid>eNqFkcFu1DAQhiMEoqXwCsgSErcEjxPHNgckulpKpSIkVM5W4ky2XhI72EkRN96BN-RJcLQrClx6si1_88_882cZAVoAhfrVvnC4BG_HZocFo1QVFAoq6IPsFKjiueKCPVzvvMwlgDrJnsS4pwmESj7OTkBVVJYcTjNzfYMkTs1sfT7jOPnQDGRspsm6HfE9wckOOM3WEIfzNx--xNdk48fWurXErch2e_Hrx8_-w6dL0rhufZLol2CQrPMlnafZo74ZIj47nmfZ53fb6837_OrjxeXm7VVueFnPuRFMgUKDHGqhqkq2lepB0bZrKbQlYCVl17JSKNF2DDhVgrEa-pLTjpZNX55lbw6609KO2Bl0c3Kjp5DmCN-1b6z-98fZG73zt5opISRnSeDlUSD4rwvGWY82GhyGxqFfoq4FCCmB3gsyyhVArRL44j9wn1bj0hZ0MlALWTNZJ0oeKBN8jAH7PzMD1Wvgeq_vAtdr4JqCToGn0ud_e74rPCacgPMDgGnztxaDjsaiM9jZgGbWnbf3d_kNDRDCMg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1506786286</pqid></control><display><type>article</type><title>The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><source>ProQuest Central UK/Ireland</source><creator>Vulliemoz, S. ; Thornton, R. ; Rodionov, R. ; Carmichael, D.W. ; Guye, M. ; Lhatoo, S. ; McEvoy, A.W. ; Spinelli, L. ; Michel, C.M. ; Duncan, J.S. ; Lemieux, L.</creator><creatorcontrib>Vulliemoz, S. ; Thornton, R. ; Rodionov, R. ; Carmichael, D.W. ; Guye, M. ; Lhatoo, S. ; McEvoy, A.W. ; Spinelli, L. ; Michel, C.M. ; Duncan, J.S. ; Lemieux, L.</creatorcontrib><description>Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges. We investigated if electrical source imaging (ESI) performed on the interictal epileptiform discharges (IED) acquired during fMRI acquisition could be used to study the dynamics of the networks identified by the BOLD effect, thereby avoiding the limitations of combining results from separate recordings. Nine selected patients (13 IED types identified) with focal epilepsy underwent EEG–fMRI. Statistical analysis was performed using SPM5 to create BOLD maps. ESI was performed on the IED recorded during fMRI acquisition using a realistic head model (SMAC) and a distributed linear inverse solution (LAURA). ESI could not be performed in one case. In 10/12 remaining studies, ESI at IED onset (ESIo) was anatomically close to one BOLD cluster. Interestingly, ESIo was closest to the positive BOLD cluster with maximal statistical significance in only 4/12 cases and closest to negative BOLD responses in 4/12 cases. Very small BOLD clusters could also have clinical relevance in some cases. ESI at later time frame (ESIp) showed propagation to remote sources co-localised with other BOLD clusters in half of cases. In concordant cases, the distance between maxima of ESI and the closest EEG–fMRI cluster was less than 33 mm, in agreement with previous studies. We conclude that simultaneous ESI and EEG–fMRI analysis may be able to distinguish areas of BOLD response related to initiation of IED from propagation areas. This combination provides new opportunities for investigating epileptic networks.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2009.01.070</identifier><identifier>PMID: 19408351</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Action Potentials ; Adult ; Brain ; Brain Mapping - methods ; Diagnosis, Computer-Assisted - methods ; Electrodes ; Electroencephalography - methods ; Epilepsy ; Epilepsy - diagnosis ; Epilepsy - physiopathology ; Error correction &amp; detection ; Female ; Humans ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Nerve Net - physiopathology ; NMR ; Nuclear magnetic resonance ; Patients ; Pediatrics - methods ; Reproducibility of Results ; Scanners ; Sensitivity and Specificity ; Young Adult</subject><ispartof>NeuroImage (Orlando, Fla.), 2009-07, Vol.46 (3), p.834-843</ispartof><rights>2009 Elsevier Inc.</rights><rights>Copyright Elsevier Limited Jul 1, 2009</rights><rights>2009 Elsevier Inc. 2009 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-c72919ece51679448b49f190bdb01b31e488db23797bd2150972261f350d03af3</citedby><cites>FETCH-LOGICAL-c536t-c72919ece51679448b49f190bdb01b31e488db23797bd2150972261f350d03af3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1506786286?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,3548,27923,27924,45994,64384,64386,64388,72240</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19408351$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vulliemoz, S.</creatorcontrib><creatorcontrib>Thornton, R.</creatorcontrib><creatorcontrib>Rodionov, R.</creatorcontrib><creatorcontrib>Carmichael, D.W.</creatorcontrib><creatorcontrib>Guye, M.</creatorcontrib><creatorcontrib>Lhatoo, S.</creatorcontrib><creatorcontrib>McEvoy, A.W.</creatorcontrib><creatorcontrib>Spinelli, L.</creatorcontrib><creatorcontrib>Michel, C.M.</creatorcontrib><creatorcontrib>Duncan, J.S.</creatorcontrib><creatorcontrib>Lemieux, L.</creatorcontrib><title>The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges. We investigated if electrical source imaging (ESI) performed on the interictal epileptiform discharges (IED) acquired during fMRI acquisition could be used to study the dynamics of the networks identified by the BOLD effect, thereby avoiding the limitations of combining results from separate recordings. Nine selected patients (13 IED types identified) with focal epilepsy underwent EEG–fMRI. Statistical analysis was performed using SPM5 to create BOLD maps. ESI was performed on the IED recorded during fMRI acquisition using a realistic head model (SMAC) and a distributed linear inverse solution (LAURA). ESI could not be performed in one case. In 10/12 remaining studies, ESI at IED onset (ESIo) was anatomically close to one BOLD cluster. Interestingly, ESIo was closest to the positive BOLD cluster with maximal statistical significance in only 4/12 cases and closest to negative BOLD responses in 4/12 cases. Very small BOLD clusters could also have clinical relevance in some cases. ESI at later time frame (ESIp) showed propagation to remote sources co-localised with other BOLD clusters in half of cases. In concordant cases, the distance between maxima of ESI and the closest EEG–fMRI cluster was less than 33 mm, in agreement with previous studies. We conclude that simultaneous ESI and EEG–fMRI analysis may be able to distinguish areas of BOLD response related to initiation of IED from propagation areas. This combination provides new opportunities for investigating epileptic networks.</description><subject>Action Potentials</subject><subject>Adult</subject><subject>Brain</subject><subject>Brain Mapping - methods</subject><subject>Diagnosis, Computer-Assisted - methods</subject><subject>Electrodes</subject><subject>Electroencephalography - methods</subject><subject>Epilepsy</subject><subject>Epilepsy - diagnosis</subject><subject>Epilepsy - physiopathology</subject><subject>Error correction &amp; detection</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nerve Net - physiopathology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Patients</subject><subject>Pediatrics - methods</subject><subject>Reproducibility of Results</subject><subject>Scanners</subject><subject>Sensitivity and Specificity</subject><subject>Young Adult</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkcFu1DAQhiMEoqXwCsgSErcEjxPHNgckulpKpSIkVM5W4ky2XhI72EkRN96BN-RJcLQrClx6si1_88_882cZAVoAhfrVvnC4BG_HZocFo1QVFAoq6IPsFKjiueKCPVzvvMwlgDrJnsS4pwmESj7OTkBVVJYcTjNzfYMkTs1sfT7jOPnQDGRspsm6HfE9wckOOM3WEIfzNx--xNdk48fWurXErch2e_Hrx8_-w6dL0rhufZLol2CQrPMlnafZo74ZIj47nmfZ53fb6837_OrjxeXm7VVueFnPuRFMgUKDHGqhqkq2lepB0bZrKbQlYCVl17JSKNF2DDhVgrEa-pLTjpZNX55lbw6609KO2Bl0c3Kjp5DmCN-1b6z-98fZG73zt5opISRnSeDlUSD4rwvGWY82GhyGxqFfoq4FCCmB3gsyyhVArRL44j9wn1bj0hZ0MlALWTNZJ0oeKBN8jAH7PzMD1Wvgeq_vAtdr4JqCToGn0ud_e74rPCacgPMDgGnztxaDjsaiM9jZgGbWnbf3d_kNDRDCMg</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Vulliemoz, S.</creator><creator>Thornton, R.</creator><creator>Rodionov, R.</creator><creator>Carmichael, D.W.</creator><creator>Guye, M.</creator><creator>Lhatoo, S.</creator><creator>McEvoy, A.W.</creator><creator>Spinelli, L.</creator><creator>Michel, C.M.</creator><creator>Duncan, J.S.</creator><creator>Lemieux, L.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><general>Academic Press</general><scope>6I.</scope><scope>AAFTH</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>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7QO</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090701</creationdate><title>The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging</title><author>Vulliemoz, S. ; Thornton, R. ; Rodionov, R. ; Carmichael, D.W. ; Guye, M. ; Lhatoo, S. ; McEvoy, A.W. ; Spinelli, L. ; Michel, C.M. ; Duncan, J.S. ; Lemieux, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-c72919ece51679448b49f190bdb01b31e488db23797bd2150972261f350d03af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Action Potentials</topic><topic>Adult</topic><topic>Brain</topic><topic>Brain Mapping - methods</topic><topic>Diagnosis, Computer-Assisted - methods</topic><topic>Electrodes</topic><topic>Electroencephalography - methods</topic><topic>Epilepsy</topic><topic>Epilepsy - diagnosis</topic><topic>Epilepsy - physiopathology</topic><topic>Error correction &amp; detection</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Nerve Net - physiopathology</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Patients</topic><topic>Pediatrics - methods</topic><topic>Reproducibility of Results</topic><topic>Scanners</topic><topic>Sensitivity and Specificity</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vulliemoz, S.</creatorcontrib><creatorcontrib>Thornton, R.</creatorcontrib><creatorcontrib>Rodionov, R.</creatorcontrib><creatorcontrib>Carmichael, D.W.</creatorcontrib><creatorcontrib>Guye, M.</creatorcontrib><creatorcontrib>Lhatoo, S.</creatorcontrib><creatorcontrib>McEvoy, A.W.</creatorcontrib><creatorcontrib>Spinelli, L.</creatorcontrib><creatorcontrib>Michel, C.M.</creatorcontrib><creatorcontrib>Duncan, J.S.</creatorcontrib><creatorcontrib>Lemieux, L.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</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 Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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 Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vulliemoz, S.</au><au>Thornton, R.</au><au>Rodionov, R.</au><au>Carmichael, D.W.</au><au>Guye, M.</au><au>Lhatoo, S.</au><au>McEvoy, A.W.</au><au>Spinelli, L.</au><au>Michel, C.M.</au><au>Duncan, J.S.</au><au>Lemieux, L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2009-07-01</date><risdate>2009</risdate><volume>46</volume><issue>3</issue><spage>834</spage><epage>843</epage><pages>834-843</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>Simultaneous EEG–fMRI acquisitions in patients with epilepsy often reveal distributed patterns of Blood Oxygen Level Dependant (BOLD) change correlated with epileptiform discharges. We investigated if electrical source imaging (ESI) performed on the interictal epileptiform discharges (IED) acquired during fMRI acquisition could be used to study the dynamics of the networks identified by the BOLD effect, thereby avoiding the limitations of combining results from separate recordings. Nine selected patients (13 IED types identified) with focal epilepsy underwent EEG–fMRI. Statistical analysis was performed using SPM5 to create BOLD maps. ESI was performed on the IED recorded during fMRI acquisition using a realistic head model (SMAC) and a distributed linear inverse solution (LAURA). ESI could not be performed in one case. In 10/12 remaining studies, ESI at IED onset (ESIo) was anatomically close to one BOLD cluster. Interestingly, ESIo was closest to the positive BOLD cluster with maximal statistical significance in only 4/12 cases and closest to negative BOLD responses in 4/12 cases. Very small BOLD clusters could also have clinical relevance in some cases. ESI at later time frame (ESIp) showed propagation to remote sources co-localised with other BOLD clusters in half of cases. In concordant cases, the distance between maxima of ESI and the closest EEG–fMRI cluster was less than 33 mm, in agreement with previous studies. We conclude that simultaneous ESI and EEG–fMRI analysis may be able to distinguish areas of BOLD response related to initiation of IED from propagation areas. This combination provides new opportunities for investigating epileptic networks.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>19408351</pmid><doi>10.1016/j.neuroimage.2009.01.070</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1053-8119
ispartof NeuroImage (Orlando, Fla.), 2009-07, Vol.46 (3), p.834-843
issn 1053-8119
1095-9572
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2977852
source MEDLINE; ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland
subjects Action Potentials
Adult
Brain
Brain Mapping - methods
Diagnosis, Computer-Assisted - methods
Electrodes
Electroencephalography - methods
Epilepsy
Epilepsy - diagnosis
Epilepsy - physiopathology
Error correction & detection
Female
Humans
Magnetic Resonance Imaging - methods
Male
Middle Aged
Nerve Net - physiopathology
NMR
Nuclear magnetic resonance
Patients
Pediatrics - methods
Reproducibility of Results
Scanners
Sensitivity and Specificity
Young Adult
title The spatio-temporal mapping of epileptic networks: Combination of EEG–fMRI and EEG source imaging
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T13%3A21%3A00IST&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=The%20spatio-temporal%20mapping%20of%20epileptic%20networks:%20Combination%20of%20EEG%E2%80%93fMRI%20and%20EEG%20source%20imaging&rft.jtitle=NeuroImage%20(Orlando,%20Fla.)&rft.au=Vulliemoz,%20S.&rft.date=2009-07-01&rft.volume=46&rft.issue=3&rft.spage=834&rft.epage=843&rft.pages=834-843&rft.issn=1053-8119&rft.eissn=1095-9572&rft_id=info:doi/10.1016/j.neuroimage.2009.01.070&rft_dat=%3Cproquest_pubme%3E67178810%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=1506786286&rft_id=info:pmid/19408351&rft_els_id=S1053811909001396&rfr_iscdi=true