Matches in SemOpenAlex for { <https://semopenalex.org/work/W2804936719> ?p ?o ?g. }
- W2804936719 endingPage "131" @default.
- W2804936719 startingPage "126" @default.
- W2804936719 abstract "PurposeHigh-density electroencephalographic source imaging (HD-ESI) has emerged as a useful tool for pre-surgical epilepsy workup. However, it is not routinely used in clinical evaluations due to several factors, one of which is the challenge associated with creating anatomically accurate head models. Reasonable solutions now exist and the present study aims to evaluate the use of these highly resolved individual head models in pre-surgical epilepsy evaluation.MethodsNine patients with intractable epilepsy who were candidates for resective epilepsy surgeries participated in the study. For each patient, 256-channel electroencephalography data were acquired along with individual structural MRI data that was used to construct individual finite difference models (iFDM). Accuracy of HD-ESI based on iFDM (HD-ESI-iFDM) was evaluated using multiple criteria, including concordance with intracranial electroencephalography (icEEG) and location of surgical resection. Performance of HD-ESI-iFDM was also compared against MRI and positron emission tomography (PET) results.ResultsIn all but one patient resective surgeries resulted in seizure-free outcome. Source locations derived from HD-ESI-iFDM demonstrated concordance with surgical resection and with icEEG data, when available. The HD-ESI-iFDM also contributed to the planning of intracranial electrodes implantation. Compared to MRI or PET, HD-ESI-iFDM provided more accurate localization of the epileptogenic zone.ConclusionWhen acquired with high-density sensor arrays and source imaging is performed with anatomically accurate head models, electroencephalography can contribute meaningfully to epilepsy pre-surgical workup for localization of the epileptogenic zone. Now that both high-density electroencephalography and individualized FDM models can be routinely obtained, it can be incorporated as part of clinical practice." @default.
- W2804936719 created "2018-06-01" @default.
- W2804936719 creator A5008171523 @default.
- W2804936719 creator A5011184859 @default.
- W2804936719 creator A5038809804 @default.
- W2804936719 creator A5067518097 @default.
- W2804936719 creator A5083798008 @default.
- W2804936719 creator A5091013824 @default.
- W2804936719 creator A5091260655 @default.
- W2804936719 creator A5091814370 @default.
- W2804936719 date "2018-07-01" @default.
- W2804936719 modified "2023-10-07" @default.
- W2804936719 title "Accurate source imaging based on high resolution scalp electroencephalography and individualized finite difference head models in epilepsy pre-surgical workup" @default.
- W2804936719 cites W1972780097 @default.
- W2804936719 cites W1992460567 @default.
- W2804936719 cites W1998255574 @default.
- W2804936719 cites W2001428189 @default.
- W2804936719 cites W2045125028 @default.
- W2804936719 cites W2055481051 @default.
- W2804936719 cites W2070202219 @default.
- W2804936719 cites W2078653879 @default.
- W2804936719 cites W2086516135 @default.
- W2804936719 cites W2091448835 @default.
- W2804936719 cites W2097540730 @default.
- W2804936719 cites W2111164568 @default.
- W2804936719 cites W2117309763 @default.
- W2804936719 cites W2134353725 @default.
- W2804936719 cites W2148582387 @default.
- W2804936719 cites W2153208799 @default.
- W2804936719 cites W2329696737 @default.
- W2804936719 cites W2394698932 @default.
- W2804936719 cites W2553246940 @default.
- W2804936719 cites W2743733786 @default.
- W2804936719 cites W2791956913 @default.
- W2804936719 doi "https://doi.org/10.1016/j.seizure.2018.05.009" @default.
- W2804936719 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29843085" @default.
- W2804936719 hasPublicationYear "2018" @default.
- W2804936719 type Work @default.
- W2804936719 sameAs 2804936719 @default.
- W2804936719 citedByCount "8" @default.
- W2804936719 countsByYear W28049367192018 @default.
- W2804936719 countsByYear W28049367192019 @default.
- W2804936719 countsByYear W28049367192020 @default.
- W2804936719 countsByYear W28049367192021 @default.
- W2804936719 countsByYear W28049367192022 @default.
- W2804936719 countsByYear W28049367192023 @default.
- W2804936719 crossrefType "journal-article" @default.
- W2804936719 hasAuthorship W2804936719A5008171523 @default.
- W2804936719 hasAuthorship W2804936719A5011184859 @default.
- W2804936719 hasAuthorship W2804936719A5038809804 @default.
- W2804936719 hasAuthorship W2804936719A5067518097 @default.
- W2804936719 hasAuthorship W2804936719A5083798008 @default.
- W2804936719 hasAuthorship W2804936719A5091013824 @default.
- W2804936719 hasAuthorship W2804936719A5091260655 @default.
- W2804936719 hasAuthorship W2804936719A5091814370 @default.
- W2804936719 hasBestOaLocation W28049367191 @default.
- W2804936719 hasConcept C118552586 @default.
- W2804936719 hasConcept C126322002 @default.
- W2804936719 hasConcept C126838900 @default.
- W2804936719 hasConcept C141071460 @default.
- W2804936719 hasConcept C160798450 @default.
- W2804936719 hasConcept C2775842073 @default.
- W2804936719 hasConcept C2778186239 @default.
- W2804936719 hasConcept C2778515351 @default.
- W2804936719 hasConcept C2779370443 @default.
- W2804936719 hasConcept C2780803581 @default.
- W2804936719 hasConcept C522805319 @default.
- W2804936719 hasConcept C71924100 @default.
- W2804936719 hasConcept C98254291 @default.
- W2804936719 hasConceptScore W2804936719C118552586 @default.
- W2804936719 hasConceptScore W2804936719C126322002 @default.
- W2804936719 hasConceptScore W2804936719C126838900 @default.
- W2804936719 hasConceptScore W2804936719C141071460 @default.
- W2804936719 hasConceptScore W2804936719C160798450 @default.
- W2804936719 hasConceptScore W2804936719C2775842073 @default.
- W2804936719 hasConceptScore W2804936719C2778186239 @default.
- W2804936719 hasConceptScore W2804936719C2778515351 @default.
- W2804936719 hasConceptScore W2804936719C2779370443 @default.
- W2804936719 hasConceptScore W2804936719C2780803581 @default.
- W2804936719 hasConceptScore W2804936719C522805319 @default.
- W2804936719 hasConceptScore W2804936719C71924100 @default.
- W2804936719 hasConceptScore W2804936719C98254291 @default.
- W2804936719 hasFunder F4320321001 @default.
- W2804936719 hasLocation W28049367191 @default.
- W2804936719 hasLocation W28049367192 @default.
- W2804936719 hasOpenAccess W2804936719 @default.
- W2804936719 hasPrimaryLocation W28049367191 @default.
- W2804936719 hasRelatedWork W2957019744 @default.
- W2804936719 hasRelatedWork W3005978079 @default.
- W2804936719 hasRelatedWork W3030688220 @default.
- W2804936719 hasRelatedWork W3105171615 @default.
- W2804936719 hasRelatedWork W3164646353 @default.
- W2804936719 hasRelatedWork W3181245817 @default.
- W2804936719 hasRelatedWork W4214530975 @default.
- W2804936719 hasRelatedWork W4221121000 @default.
- W2804936719 hasRelatedWork W4235097159 @default.
- W2804936719 hasRelatedWork W4386265745 @default.
- W2804936719 hasVolume "59" @default.