FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1982234873> ?p ?o ?g. }

• W1982234873 endingPage "49" @default.
• W1982234873 startingPage "41" @default.
• W1982234873 abstract "Object Magnetoencephalography (MEG) has been used for the preoperative localization of epileptic equivalent current dipoles (ECDs) in neocortical epilepsy. Spatial filtering can be applied to MEG data by means of synthetic aperture magnetometry (SAM), and SAM virtual sensor analysis can be used to estimate the strength and temporal course of the epileptic source in the region of interest. To evaluate the clinical usefulness of this approach, the authors compare the results of SAM virtual sensor analysis to the results of ECD analysis, subdural electroencephalography (EEG) findings, and surgical outcomes in pediatric patients with neocortical epilepsy. Methods Ten pediatric patients underwent MEG, invasive subdural EEG, and cortical resection for neocortical epilepsy. The authors compared the morphological characteristics, quantity, location, and distribution of the epileptiform discharges assessed using SAM and ECD analysis, and subdural EEG findings (interictal discharges and ictal onset zones). In nine patients, MEG revealed clustered ECDs. The region exhibiting the maximum percentage (≥ 70%) of spikes/sharp waves on SAM was colocalized to clustered ECDs in seven patients. In six patients, SAM demonstrated focal spikes; in two, diffuse spikes; and in two others, focal rhythmic sharp waves. These epileptiform discharges were similar to those recorded on subdural EEG. In nine patients, concordant regions containing the maximum percentage of spikes/sharp waves were revealed by SAM and subdural EEG data. The region of the maximum percentage of spikes/sharp waves as demonstrated by SAM was colocalized to the ictal onset zone identified by subdural EEG findings in seven patients and partially colocalized in two. Conclusions The SAM virtual sensor analysis revealed morphological characteristics, location, and distribution of epileptiform discharges similar to those shown by subdural EEG recordings. By using SAM it is possible to predict intracerebral interictal epileptiform discharges in the region of interest from noninvasively collected preoperative MEG data. The maximum interictal discharge zone identified by SAM virtual sensors correlated to clustered ECDs and the ictal onset zone on subdural EEG findings. Complementary analyses of ECDs and SAM on three-dimensional MR images can improve delineation of epileptogenic zones and lesions in neocortical epilepsy." @default.
• W1982234873 created "2016-06-24" @default.
• W1982234873 creator A5011219252 @default.
• W1982234873 creator A5020120380 @default.
• W1982234873 creator A5026618924 @default.
• W1982234873 creator A5036262197 @default.
• W1982234873 creator A5039557394 @default.
• W1982234873 creator A5044004391 @default.
• W1982234873 creator A5046517361 @default.
• W1982234873 creator A5054006687 @default.
• W1982234873 creator A5067215084 @default.
• W1982234873 creator A5069035115 @default.
• W1982234873 creator A5075152047 @default.
• W1982234873 creator A5081390307 @default.
• W1982234873 date "2006-07-01" @default.
• W1982234873 modified "2023-09-27" @default.
• W1982234873 title "Preoperative simulation of intracerebral epileptiform discharges: synthetic aperture magnetometry virtual sensor analysis of interictal magnetoencephalography data" @default.
• W1982234873 cites W1966697781 @default.
• W1982234873 cites W1972962459 @default.
• W1982234873 cites W1972970088 @default.
• W1982234873 cites W1977181559 @default.
• W1982234873 cites W1985551621 @default.
• W1982234873 cites W1989035482 @default.
• W1982234873 cites W1989695287 @default.
• W1982234873 cites W1992854849 @default.
• W1982234873 cites W1994967852 @default.
• W1982234873 cites W1996378566 @default.
• W1982234873 cites W1998776339 @default.
• W1982234873 cites W2000142440 @default.
• W1982234873 cites W2001145190 @default.
• W1982234873 cites W2002769054 @default.
• W1982234873 cites W2021049980 @default.
• W1982234873 cites W2025438810 @default.
• W1982234873 cites W2028507195 @default.
• W1982234873 cites W2030811827 @default.
• W1982234873 cites W2059273161 @default.
• W1982234873 cites W2060507941 @default.
• W1982234873 cites W2064214066 @default.
• W1982234873 cites W2064452374 @default.
• W1982234873 cites W2067896066 @default.
• W1982234873 cites W2072753766 @default.
• W1982234873 cites W2073316336 @default.
• W1982234873 cites W2084040282 @default.
• W1982234873 cites W2084333685 @default.
• W1982234873 cites W2088103763 @default.
• W1982234873 cites W2089910257 @default.
• W1982234873 cites W2090781932 @default.
• W1982234873 cites W2091421749 @default.
• W1982234873 cites W2107974789 @default.
• W1982234873 cites W2111931691 @default.
• W1982234873 cites W2120078534 @default.
• W1982234873 cites W2156792909 @default.
• W1982234873 cites W2160703700 @default.
• W1982234873 cites W2413373411 @default.
• W1982234873 doi "https://doi.org/10.3171/ped.2006.105.1.41" @default.
• W1982234873 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16871869" @default.
• W1982234873 hasPublicationYear "2006" @default.
• W1982234873 type Work @default.
• W1982234873 sameAs 1982234873 @default.
• W1982234873 citedByCount "16" @default.
• W1982234873 countsByYear W19822348732012 @default.
• W1982234873 countsByYear W19822348732014 @default.
• W1982234873 countsByYear W19822348732015 @default.
• W1982234873 countsByYear W19822348732018 @default.
• W1982234873 countsByYear W19822348732019 @default.
• W1982234873 countsByYear W19822348732020 @default.
• W1982234873 countsByYear W19822348732021 @default.
• W1982234873 countsByYear W19822348732022 @default.
• W1982234873 countsByYear W19822348732023 @default.
• W1982234873 crossrefType "journal-article" @default.
• W1982234873 hasAuthorship W1982234873A5011219252 @default.
• W1982234873 hasAuthorship W1982234873A5020120380 @default.
• W1982234873 hasAuthorship W1982234873A5026618924 @default.
• W1982234873 hasAuthorship W1982234873A5036262197 @default.
• W1982234873 hasAuthorship W1982234873A5039557394 @default.
• W1982234873 hasAuthorship W1982234873A5044004391 @default.
• W1982234873 hasAuthorship W1982234873A5046517361 @default.
• W1982234873 hasAuthorship W1982234873A5054006687 @default.
• W1982234873 hasAuthorship W1982234873A5067215084 @default.
• W1982234873 hasAuthorship W1982234873A5069035115 @default.
• W1982234873 hasAuthorship W1982234873A5075152047 @default.
• W1982234873 hasAuthorship W1982234873A5081390307 @default.
• W1982234873 hasConcept C118552586 @default.
• W1982234873 hasConcept C126838900 @default.
• W1982234873 hasConcept C143409427 @default.
• W1982234873 hasConcept C15744967 @default.
• W1982234873 hasConcept C169760540 @default.
• W1982234873 hasConcept C17755696 @default.
• W1982234873 hasConcept C2778186239 @default.
• W1982234873 hasConcept C522805319 @default.
• W1982234873 hasConcept C548259974 @default.
• W1982234873 hasConcept C556910895 @default.
• W1982234873 hasConcept C71924100 @default.
• W1982234873 hasConceptScore W1982234873C118552586 @default.
• W1982234873 hasConceptScore W1982234873C126838900 @default.
• W1982234873 hasConceptScore W1982234873C143409427 @default.
• W1982234873 hasConceptScore W1982234873C15744967 @default.
• W1982234873 hasConceptScore W1982234873C169760540 @default.

• next