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...
Gespeichert in:
Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.46 (3), p.834-843 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
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 & 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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & 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 |