Quantitative imaging of spontaneous neuromagnetic activity for assessing cerebral ischemia using sLORETA-qm
To image cerebral neural activity in ischemic areas, we proposed a novel technique to analyze spontaneous neuromagnetic fields based on standardized low-resolution brain electromagnetic tomography modified for a quantifiable method (sLORETA-qm). Using a 160-channel whole-head-type magnetoencephalogr...
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creator | Sakamoto, Shinichi Tanaka, Hiroaki Tsuyuguchi, Naohiro Terakawa, Yuzo Ohata, Kenji Inoue, Yuichi Miki, Yukio Hara, Mitsuhiro Takahashi, Yoshinobu Nitta, Kazumi Sawa, Hiroki Satone, Akira Ide, Wataru Hashimoto, Ikuo Kamada, Hajime |
description | To image cerebral neural activity in ischemic areas, we proposed a novel technique to analyze spontaneous neuromagnetic fields based on standardized low-resolution brain electromagnetic tomography modified for a quantifiable method (sLORETA-qm). Using a 160-channel whole-head-type magnetoencephalographic system, cerebral magnetic fields were obtained pre- and postoperatively from 5 patients with unilateral internal carotid artery occlusive disease and 16 age-matched healthy volunteers. For quantitative imaging, voxel-based time-averaged intensities of slow waves in 4 frequency bands (0.3–2 Hz, 2–4 Hz, 4–6 Hz and 6–8 Hz) were obtained by the proposed technique based on sLORETA-qm. Positron emission tomography with 15O gas inhalation (15O-PET) was also performed in these patients to evaluate cerebral blood flow and metabolism. In all 5 patients, slow waves in every frequency band were distributed in the area of cerebrovascular insufficiency, as confirmed by 15O-PET preoperatively. In 4 patients, slow-wave intensities in theta bands (4–6 Hz, 6–8 Hz) decreased postoperatively along with improvements in cerebral blood flow and metabolism, whereas delta bands (0.3–2 Hz, 2–4 Hz) showed no significant differences between pre- and postoperatively. One patient with deterioration of cerebral infarction after surgery showed marked increases in slow-wave intensities in delta bands (0.3–2 Hz, 2–4 Hz) postoperatively, with distribution close to the infarct region. The proposed quantitative imaging of spontaneous neuromagnetic fields enabled clear visualization and alternations of cerebral neural conditions in the ischemic area. This technique may offer a novel, non-invasive method for identifying cerebral ischemia, although further studies in a larger number of patients are warranted. |
doi_str_mv | 10.1016/j.neuroimage.2009.07.039 |
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Using a 160-channel whole-head-type magnetoencephalographic system, cerebral magnetic fields were obtained pre- and postoperatively from 5 patients with unilateral internal carotid artery occlusive disease and 16 age-matched healthy volunteers. For quantitative imaging, voxel-based time-averaged intensities of slow waves in 4 frequency bands (0.3–2 Hz, 2–4 Hz, 4–6 Hz and 6–8 Hz) were obtained by the proposed technique based on sLORETA-qm. Positron emission tomography with 15O gas inhalation (15O-PET) was also performed in these patients to evaluate cerebral blood flow and metabolism. In all 5 patients, slow waves in every frequency band were distributed in the area of cerebrovascular insufficiency, as confirmed by 15O-PET preoperatively. In 4 patients, slow-wave intensities in theta bands (4–6 Hz, 6–8 Hz) decreased postoperatively along with improvements in cerebral blood flow and metabolism, whereas delta bands (0.3–2 Hz, 2–4 Hz) showed no significant differences between pre- and postoperatively. One patient with deterioration of cerebral infarction after surgery showed marked increases in slow-wave intensities in delta bands (0.3–2 Hz, 2–4 Hz) postoperatively, with distribution close to the infarct region. The proposed quantitative imaging of spontaneous neuromagnetic fields enabled clear visualization and alternations of cerebral neural conditions in the ischemic area. This technique may offer a novel, non-invasive method for identifying cerebral ischemia, although further studies in a larger number of patients are warranted.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2009.07.039</identifier><identifier>PMID: 19632340</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Age ; Aged ; Brain ; Brain - diagnostic imaging ; Brain - pathology ; Brain Ischemia - diagnostic imaging ; Brain Ischemia - pathology ; Cerebral Cortex - pathology ; Cerebral Cortex - physiopathology ; Cerebral Infarction - diagnostic imaging ; Cerebral Infarction - pathology ; Cerebral ischemia ; Dysarthria - pathology ; Electroencephalography ; Humans ; Image Processing, Computer-Assisted - methods ; Ischemia ; Magnetic Resonance Imaging - methods ; Magnetoencephalography ; Male ; Medical imaging ; Methods ; Middle Aged ; NMR ; Nuclear magnetic resonance ; Paresis - pathology ; Patients ; Positron emission tomography ; sLORETA-qm ; Values ; Veins & arteries</subject><ispartof>NeuroImage (Orlando, Fla.), 2010-01, Vol.49 (1), p.488-497</ispartof><rights>2009 Elsevier Inc.</rights><rights>Copyright Elsevier Limited Jan 1, 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c529t-148e5c546c0e19df4817658632fabc5c712ede29f251ac92644bf0994bd77c733</citedby><cites>FETCH-LOGICAL-c529t-148e5c546c0e19df4817658632fabc5c712ede29f251ac92644bf0994bd77c733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1506816902?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19632340$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sakamoto, Shinichi</creatorcontrib><creatorcontrib>Tanaka, Hiroaki</creatorcontrib><creatorcontrib>Tsuyuguchi, Naohiro</creatorcontrib><creatorcontrib>Terakawa, Yuzo</creatorcontrib><creatorcontrib>Ohata, Kenji</creatorcontrib><creatorcontrib>Inoue, Yuichi</creatorcontrib><creatorcontrib>Miki, Yukio</creatorcontrib><creatorcontrib>Hara, Mitsuhiro</creatorcontrib><creatorcontrib>Takahashi, Yoshinobu</creatorcontrib><creatorcontrib>Nitta, Kazumi</creatorcontrib><creatorcontrib>Sawa, Hiroki</creatorcontrib><creatorcontrib>Satone, Akira</creatorcontrib><creatorcontrib>Ide, Wataru</creatorcontrib><creatorcontrib>Hashimoto, Ikuo</creatorcontrib><creatorcontrib>Kamada, Hajime</creatorcontrib><title>Quantitative imaging of spontaneous neuromagnetic activity for assessing cerebral ischemia using sLORETA-qm</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>To image cerebral neural activity in ischemic areas, we proposed a novel technique to analyze spontaneous neuromagnetic fields based on standardized low-resolution brain electromagnetic tomography modified for a quantifiable method (sLORETA-qm). Using a 160-channel whole-head-type magnetoencephalographic system, cerebral magnetic fields were obtained pre- and postoperatively from 5 patients with unilateral internal carotid artery occlusive disease and 16 age-matched healthy volunteers. For quantitative imaging, voxel-based time-averaged intensities of slow waves in 4 frequency bands (0.3–2 Hz, 2–4 Hz, 4–6 Hz and 6–8 Hz) were obtained by the proposed technique based on sLORETA-qm. Positron emission tomography with 15O gas inhalation (15O-PET) was also performed in these patients to evaluate cerebral blood flow and metabolism. In all 5 patients, slow waves in every frequency band were distributed in the area of cerebrovascular insufficiency, as confirmed by 15O-PET preoperatively. In 4 patients, slow-wave intensities in theta bands (4–6 Hz, 6–8 Hz) decreased postoperatively along with improvements in cerebral blood flow and metabolism, whereas delta bands (0.3–2 Hz, 2–4 Hz) showed no significant differences between pre- and postoperatively. One patient with deterioration of cerebral infarction after surgery showed marked increases in slow-wave intensities in delta bands (0.3–2 Hz, 2–4 Hz) postoperatively, with distribution close to the infarct region. The proposed quantitative imaging of spontaneous neuromagnetic fields enabled clear visualization and alternations of cerebral neural conditions in the ischemic area. This technique may offer a novel, non-invasive method for identifying cerebral ischemia, although further studies in a larger number of patients are warranted.</description><subject>Age</subject><subject>Aged</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Brain Ischemia - diagnostic imaging</subject><subject>Brain Ischemia - pathology</subject><subject>Cerebral Cortex - pathology</subject><subject>Cerebral Cortex - physiopathology</subject><subject>Cerebral Infarction - diagnostic imaging</subject><subject>Cerebral Infarction - pathology</subject><subject>Cerebral ischemia</subject><subject>Dysarthria - pathology</subject><subject>Electroencephalography</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Ischemia</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Magnetoencephalography</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Paresis - pathology</subject><subject>Patients</subject><subject>Positron emission tomography</subject><subject>sLORETA-qm</subject><subject>Values</subject><subject>Veins & arteries</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</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>eNqFkU1r3DAQhkVpadK0f6EICs3JrkayLOuYhvQDFkJLehayPE61XVsbSQ7k31fOLgR6aC6SGD0z78y8hFBgNTBoP23rGZcY_GRvseaM6Zqpmgn9gpwC07LSUvGX61uKqgPQJ-RNSltWQGi61-QEdCu4aNgp-fNjsXP22WZ_j3Qt6OdbGkaa9mHOdsawJPooVr5mzN5R6wrr8wMdQ6Q2JUxpzXEYsY92R31yv3Hyli6P8bS5_nl1c1HdTW_Jq9HuEr473mfk15erm8tv1eb66_fLi03lJNe5Ki2idLJpHUPQw9h0oFrZlY5H2zvpFHAckOuRS7BO87Zp-pFp3fSDUk4JcUbOD3X3MdwtmLKZSk-42x3GMapMrkU5C_nxv6SQrOHQsWdBDpwLCVDAD_-A27DEuYxrQLK2g1YzXqjuQLkYUoo4mn0su48PBphZHTZb8-SwWR02TJnicEl9fxRY-gmHp8SjpQX4fACwrPjeYzTJeZwdDj6iy2YI_nmVv6YVvOs</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Sakamoto, Shinichi</creator><creator>Tanaka, Hiroaki</creator><creator>Tsuyuguchi, Naohiro</creator><creator>Terakawa, Yuzo</creator><creator>Ohata, Kenji</creator><creator>Inoue, Yuichi</creator><creator>Miki, Yukio</creator><creator>Hara, Mitsuhiro</creator><creator>Takahashi, Yoshinobu</creator><creator>Nitta, Kazumi</creator><creator>Sawa, Hiroki</creator><creator>Satone, Akira</creator><creator>Ide, Wataru</creator><creator>Hashimoto, Ikuo</creator><creator>Kamada, Hajime</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><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>7U5</scope><scope>L7M</scope><scope>7X8</scope></search><sort><creationdate>20100101</creationdate><title>Quantitative imaging of spontaneous neuromagnetic activity for assessing cerebral ischemia using sLORETA-qm</title><author>Sakamoto, Shinichi ; Tanaka, Hiroaki ; Tsuyuguchi, Naohiro ; Terakawa, Yuzo ; Ohata, Kenji ; Inoue, Yuichi ; Miki, Yukio ; Hara, Mitsuhiro ; Takahashi, Yoshinobu ; Nitta, Kazumi ; Sawa, Hiroki ; Satone, Akira ; Ide, Wataru ; Hashimoto, Ikuo ; Kamada, Hajime</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c529t-148e5c546c0e19df4817658632fabc5c712ede29f251ac92644bf0994bd77c733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Age</topic><topic>Aged</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Brain Ischemia - diagnostic imaging</topic><topic>Brain Ischemia - pathology</topic><topic>Cerebral Cortex - pathology</topic><topic>Cerebral Cortex - physiopathology</topic><topic>Cerebral Infarction - diagnostic imaging</topic><topic>Cerebral Infarction - pathology</topic><topic>Cerebral ischemia</topic><topic>Dysarthria - pathology</topic><topic>Electroencephalography</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Ischemia</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Magnetoencephalography</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Paresis - pathology</topic><topic>Patients</topic><topic>Positron emission tomography</topic><topic>sLORETA-qm</topic><topic>Values</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sakamoto, Shinichi</creatorcontrib><creatorcontrib>Tanaka, Hiroaki</creatorcontrib><creatorcontrib>Tsuyuguchi, Naohiro</creatorcontrib><creatorcontrib>Terakawa, Yuzo</creatorcontrib><creatorcontrib>Ohata, Kenji</creatorcontrib><creatorcontrib>Inoue, Yuichi</creatorcontrib><creatorcontrib>Miki, Yukio</creatorcontrib><creatorcontrib>Hara, Mitsuhiro</creatorcontrib><creatorcontrib>Takahashi, Yoshinobu</creatorcontrib><creatorcontrib>Nitta, Kazumi</creatorcontrib><creatorcontrib>Sawa, Hiroki</creatorcontrib><creatorcontrib>Satone, Akira</creatorcontrib><creatorcontrib>Ide, Wataru</creatorcontrib><creatorcontrib>Hashimoto, Ikuo</creatorcontrib><creatorcontrib>Kamada, Hajime</creatorcontrib><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>Solid State and Superconductivity Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sakamoto, Shinichi</au><au>Tanaka, Hiroaki</au><au>Tsuyuguchi, Naohiro</au><au>Terakawa, Yuzo</au><au>Ohata, Kenji</au><au>Inoue, Yuichi</au><au>Miki, Yukio</au><au>Hara, Mitsuhiro</au><au>Takahashi, Yoshinobu</au><au>Nitta, Kazumi</au><au>Sawa, Hiroki</au><au>Satone, Akira</au><au>Ide, Wataru</au><au>Hashimoto, Ikuo</au><au>Kamada, Hajime</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative imaging of spontaneous neuromagnetic activity for assessing cerebral ischemia using sLORETA-qm</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2010-01-01</date><risdate>2010</risdate><volume>49</volume><issue>1</issue><spage>488</spage><epage>497</epage><pages>488-497</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>To image cerebral neural activity in ischemic areas, we proposed a novel technique to analyze spontaneous neuromagnetic fields based on standardized low-resolution brain electromagnetic tomography modified for a quantifiable method (sLORETA-qm). Using a 160-channel whole-head-type magnetoencephalographic system, cerebral magnetic fields were obtained pre- and postoperatively from 5 patients with unilateral internal carotid artery occlusive disease and 16 age-matched healthy volunteers. For quantitative imaging, voxel-based time-averaged intensities of slow waves in 4 frequency bands (0.3–2 Hz, 2–4 Hz, 4–6 Hz and 6–8 Hz) were obtained by the proposed technique based on sLORETA-qm. Positron emission tomography with 15O gas inhalation (15O-PET) was also performed in these patients to evaluate cerebral blood flow and metabolism. In all 5 patients, slow waves in every frequency band were distributed in the area of cerebrovascular insufficiency, as confirmed by 15O-PET preoperatively. In 4 patients, slow-wave intensities in theta bands (4–6 Hz, 6–8 Hz) decreased postoperatively along with improvements in cerebral blood flow and metabolism, whereas delta bands (0.3–2 Hz, 2–4 Hz) showed no significant differences between pre- and postoperatively. One patient with deterioration of cerebral infarction after surgery showed marked increases in slow-wave intensities in delta bands (0.3–2 Hz, 2–4 Hz) postoperatively, with distribution close to the infarct region. The proposed quantitative imaging of spontaneous neuromagnetic fields enabled clear visualization and alternations of cerebral neural conditions in the ischemic area. This technique may offer a novel, non-invasive method for identifying cerebral ischemia, although further studies in a larger number of patients are warranted.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>19632340</pmid><doi>10.1016/j.neuroimage.2009.07.039</doi><tpages>10</tpages></addata></record> |
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subjects | Age Aged Brain Brain - diagnostic imaging Brain - pathology Brain Ischemia - diagnostic imaging Brain Ischemia - pathology Cerebral Cortex - pathology Cerebral Cortex - physiopathology Cerebral Infarction - diagnostic imaging Cerebral Infarction - pathology Cerebral ischemia Dysarthria - pathology Electroencephalography Humans Image Processing, Computer-Assisted - methods Ischemia Magnetic Resonance Imaging - methods Magnetoencephalography Male Medical imaging Methods Middle Aged NMR Nuclear magnetic resonance Paresis - pathology Patients Positron emission tomography sLORETA-qm Values Veins & arteries |
title | Quantitative imaging of spontaneous neuromagnetic activity for assessing cerebral ischemia using sLORETA-qm |
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