{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T03:13:11Z","timestamp":1790737991572,"version":"4.1.0"},"reference-count":51,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T00:00:00Z","timestamp":1677110400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["CNS Neurosci Ther"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To explore the association between high\u2010frequency oscillations (HFOs) and epilepsy types and to improve the accuracy of source localization.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Magnetoencephalography (MEG) ripples of 63 drug\u2010resistant epilepsy patients were detected. Ripple rates, distribution, spatial complexity, and the clustering coefficient of ripple channels were used for the preliminary classification of lateral temporal lobe epilepsy (LTLE), mesial temporal lobe epilepsy (MTLE), and nontemporal lobe epilepsy (NTLE), mainly frontal lobe epilepsy (FLE). Furthermore, the seizure site identification was improved using the Tucker LCMV method and source\u2010level betweenness centrality.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Ripple rates were significantly higher in MTLE than in LTLE and NTLE (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). The LTLE and MTLE were mainly distributed in the temporal lobe, followed by the parietal lobe, occipital lobe, and frontal lobe, whereas MTLE ripples were mainly distributed in the frontal lobe, then parietal lobe and occipital lobe. Nevertheless, the NTLE ripples were primarily in the frontal lobe and partially in the occipital lobe (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). Meanwhile, the spatial complexity of NTLE was significantly higher than that of LTLE and MTLE and was lowest in MTLE (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). However, an opposite trend was observed for the standardized clustering coefficient compared with spatial complexity (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). Finally, the tucker algorithm showed a higher percentage of ripples at the surgical site when the betweenness centrality was added (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This study demonstrated that HFO rates, distribution, spatial complexity, and clustering coefficient of ripple channels varied considerably among the three epilepsy types. Additionally, tucker MEG estimation combined with ripple rates based on the source\u2010level functional connectivity is a promising approach for presurgical epilepsy evaluation.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cns.14115","type":"journal-article","created":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T08:46:46Z","timestamp":1677142006000},"page":"1423-1433","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["The association of magnetoencephalography high\u2010frequency oscillations with epilepsy types and a ripple\u2010based method with source\u2010level connectivity for mapping epilepsy sources"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0209-7486","authenticated-orcid":false,"given":"Li\u2010juan","family":"Shi","sequence":"first","affiliation":[{"name":"School of Biological Science and Medical Engineering Beihang University  Beijing China"},{"name":"Beijing Advanced Innovation Centre for Big Data\u2010Based Precision Medicine Beihang University  Beijing China"},{"name":"Beijing Advanced Innovation Centre for Biomedical Engineering Beihang University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Can\u2010Cheng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Biological Science and Medical Engineering Beihang University  Beijing China"},{"name":"Beijing Advanced Innovation Centre for Big Data\u2010Based Precision Medicine Beihang University  Beijing China"},{"name":"Beijing Advanced Innovation Centre for Biomedical Engineering Beihang University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi\u2010cong","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Neurology, Xuanwu Hospital Capital Medical University  Beijing China"},{"name":"Brain Functional Disease and Neuromodulation of Beijing Key Laboratory  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4065-6445","authenticated-orcid":false,"given":"Cheng\u2010tao","family":"Ding","sequence":"additional","affiliation":[{"name":"Hefei Innovation Research Institute, Beihang University  Hefei Anhui China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6482-9710","authenticated-orcid":false,"given":"Yu\u2010ping","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Neurology, Xuanwu Hospital Capital Medical University  Beijing China"},{"name":"Brain Functional Disease and Neuromodulation of Beijing Key Laboratory  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3325-5371","authenticated-orcid":false,"given":"Ji\u2010cong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Biological Science and Medical Engineering Beihang University  Beijing China"},{"name":"Beijing Advanced Innovation Centre for Big Data\u2010Based Precision Medicine Beihang University  Beijing China"},{"name":"Beijing Advanced Innovation Centre for Biomedical Engineering Beihang University  Beijing China"},{"name":"Hefei Innovation Research Institute, Beihang University  Hefei Anhui China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,2,23]]},"reference":[{"issue":"9","key":"e_1_2_10_2_1","first-page":"1922","article-title":"Definition of drug resistant epilepsy. 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